Publisher: Elsevier   (Total: 3203 journals)

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Showing 1 - 200 of 3203 Journals sorted alphabetically
Academic Pediatrics     Hybrid Journal   (Followers: 40, SJR: 1.655, CiteScore: 2)
Academic Radiology     Hybrid Journal   (Followers: 27, SJR: 1.015, CiteScore: 2)
Accident Analysis & Prevention     Hybrid Journal   (Followers: 108, SJR: 1.462, CiteScore: 3)
Accounting Forum     Hybrid Journal   (Followers: 30, SJR: 0.932, CiteScore: 2)
Accounting, Organizations and Society     Hybrid Journal   (Followers: 47, SJR: 1.771, CiteScore: 3)
Achievements in the Life Sciences     Open Access   (Followers: 8)
Acta Anaesthesiologica Taiwanica     Open Access   (Followers: 6)
Acta Astronautica     Hybrid Journal   (Followers: 464, SJR: 0.758, CiteScore: 2)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Biomaterialia     Hybrid Journal   (Followers: 30, SJR: 1.967, CiteScore: 7)
Acta Colombiana de Cuidado Intensivo     Full-text available via subscription   (Followers: 3)
Acta de Investigación Psicológica     Open Access   (Followers: 2)
Acta Ecologica Sinica     Open Access   (Followers: 11, SJR: 0.18, CiteScore: 1)
Acta Histochemica     Hybrid Journal   (Followers: 5, SJR: 0.661, CiteScore: 2)
Acta Materialia     Hybrid Journal   (Followers: 350, SJR: 3.263, CiteScore: 6)
Acta Mathematica Scientia     Full-text available via subscription   (Followers: 5, SJR: 0.504, CiteScore: 1)
Acta Mechanica Solida Sinica     Full-text available via subscription   (Followers: 9, SJR: 0.542, CiteScore: 1)
Acta Oecologica     Hybrid Journal   (Followers: 12, SJR: 0.834, CiteScore: 2)
Acta Otorrinolaringologica (English Edition)     Full-text available via subscription  
Acta Otorrinolaringológica Española     Full-text available via subscription   (Followers: 2, SJR: 0.307, CiteScore: 0)
Acta Pharmaceutica Sinica B     Open Access   (Followers: 3, SJR: 1.793, CiteScore: 6)
Acta Psychologica     Hybrid Journal   (Followers: 27, SJR: 1.331, CiteScore: 2)
Acta Sociológica     Open Access   (Followers: 1)
Acta Tropica     Hybrid Journal   (Followers: 6, SJR: 1.052, CiteScore: 2)
Acta Urológica Portuguesa     Open Access   (Followers: 1)
Actas Dermo-Sifiliograficas     Full-text available via subscription   (Followers: 3, SJR: 0.374, CiteScore: 1)
Actas Dermo-Sifiliográficas (English Edition)     Full-text available via subscription   (Followers: 2)
Actas Urológicas Españolas     Full-text available via subscription   (Followers: 3, SJR: 0.344, CiteScore: 1)
Actas Urológicas Españolas (English Edition)     Full-text available via subscription   (Followers: 1)
Actualites Pharmaceutiques     Full-text available via subscription   (Followers: 7, SJR: 0.19, CiteScore: 0)
Actualites Pharmaceutiques Hospitalieres     Full-text available via subscription   (Followers: 3)
Acupuncture and Related Therapies     Hybrid Journal   (Followers: 9)
Acute Pain     Full-text available via subscription   (Followers: 15, SJR: 2.671, CiteScore: 5)
Ad Hoc Networks     Hybrid Journal   (Followers: 11, SJR: 0.53, CiteScore: 4)
Addictive Behaviors     Hybrid Journal   (Followers: 19, SJR: 1.29, CiteScore: 3)
Addictive Behaviors Reports     Open Access   (Followers: 9, SJR: 0.755, CiteScore: 2)
Additive Manufacturing     Hybrid Journal   (Followers: 15, SJR: 2.611, CiteScore: 8)
Additives for Polymers     Full-text available via subscription   (Followers: 22)
Advanced Drug Delivery Reviews     Hybrid Journal   (Followers: 205, SJR: 4.09, CiteScore: 13)
Advanced Engineering Informatics     Hybrid Journal   (Followers: 14, SJR: 1.167, CiteScore: 4)
Advanced Powder Technology     Hybrid Journal   (Followers: 17, SJR: 0.694, CiteScore: 3)
Advances in Accounting     Hybrid Journal   (Followers: 9, SJR: 0.277, CiteScore: 1)
Advances in Agronomy     Full-text available via subscription   (Followers: 20, SJR: 2.384, CiteScore: 5)
Advances in Anesthesia     Full-text available via subscription   (Followers: 31, SJR: 0.126, CiteScore: 0)
Advances in Antiviral Drug Design     Full-text available via subscription   (Followers: 2)
Advances in Applied Mathematics     Full-text available via subscription   (Followers: 12, SJR: 0.992, CiteScore: 1)
Advances in Applied Mechanics     Full-text available via subscription   (Followers: 12, SJR: 1.551, CiteScore: 4)
Advances in Applied Microbiology     Full-text available via subscription   (Followers: 25, SJR: 2.089, CiteScore: 5)
Advances In Atomic, Molecular, and Optical Physics     Full-text available via subscription   (Followers: 16, SJR: 0.572, CiteScore: 2)
Advances in Biological Regulation     Hybrid Journal   (Followers: 4, SJR: 2.61, CiteScore: 7)
Advances in Botanical Research     Full-text available via subscription   (Followers: 2, SJR: 0.686, CiteScore: 2)
Advances in Cancer Research     Full-text available via subscription   (Followers: 35, SJR: 3.043, CiteScore: 6)
Advances in Carbohydrate Chemistry and Biochemistry     Full-text available via subscription   (Followers: 9, SJR: 1.453, CiteScore: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5, SJR: 1.992, CiteScore: 5)
Advances in Cell Aging and Gerontology     Full-text available via subscription   (Followers: 7)
Advances in Cellular and Molecular Biology of Membranes and Organelles     Full-text available via subscription   (Followers: 14)
Advances in Chemical Engineering     Full-text available via subscription   (Followers: 28, SJR: 0.156, CiteScore: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 11, SJR: 0.713, CiteScore: 1)
Advances in Chronic Kidney Disease     Full-text available via subscription   (Followers: 11, SJR: 1.316, CiteScore: 2)
Advances in Clinical Chemistry     Full-text available via subscription   (Followers: 27, SJR: 1.562, CiteScore: 3)
Advances in Clinical Radiology     Full-text available via subscription   (Followers: 2)
Advances in Colloid and Interface Science     Full-text available via subscription   (Followers: 22, SJR: 1.977, CiteScore: 8)
Advances in Computers     Full-text available via subscription   (Followers: 15, SJR: 0.205, CiteScore: 1)
Advances in Cosmetic Surgery     Full-text available via subscription   (Followers: 2)
Advances in Dermatology     Full-text available via subscription   (Followers: 15)
Advances in Developmental Biology     Full-text available via subscription   (Followers: 14)
Advances in Digestive Medicine     Open Access   (Followers: 15)
Advances in DNA Sequence-Specific Agents     Full-text available via subscription   (Followers: 7)
Advances in Drug Research     Full-text available via subscription   (Followers: 26)
Advances in Ecological Research     Full-text available via subscription   (Followers: 44, SJR: 2.524, CiteScore: 4)
Advances in Engineering Software     Hybrid Journal   (Followers: 32, SJR: 1.159, CiteScore: 4)
Advances in Experimental Biology     Full-text available via subscription   (Followers: 9)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 54, SJR: 5.39, CiteScore: 8)
Advances in Exploration Geophysics     Full-text available via subscription   (Followers: 2)
Advances in Family Practice Nursing     Full-text available via subscription   (Followers: 1)
Advances in Fluorine Science     Full-text available via subscription   (Followers: 9)
Advances in Food and Nutrition Research     Full-text available via subscription   (Followers: 70, SJR: 0.591, CiteScore: 2)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 17)
Advances in Genetics     Full-text available via subscription   (Followers: 20, SJR: 1.354, CiteScore: 4)
Advances in Genome Biology     Full-text available via subscription   (Followers: 11, SJR: 12.74, CiteScore: 13)
Advances in Geophysics     Full-text available via subscription   (Followers: 9, SJR: 1.193, CiteScore: 3)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 26, SJR: 0.368, CiteScore: 1)
Advances in Heterocyclic Chemistry     Full-text available via subscription   (Followers: 11, SJR: 0.749, CiteScore: 3)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 26)
Advances in Imaging and Electron Physics     Full-text available via subscription   (Followers: 4, SJR: 0.193, CiteScore: 0)
Advances in Immunology     Full-text available via subscription   (Followers: 40, SJR: 4.433, CiteScore: 6)
Advances in Inorganic Chemistry     Full-text available via subscription   (Followers: 12, SJR: 1.163, CiteScore: 2)
Advances in Insect Physiology     Full-text available via subscription   (Followers: 2, SJR: 1.938, CiteScore: 3)
Advances in Integrative Medicine     Hybrid Journal   (Followers: 6, SJR: 0.176, CiteScore: 0)
Advances in Intl. Accounting     Full-text available via subscription   (Followers: 3)
Advances in Life Course Research     Hybrid Journal   (Followers: 12, SJR: 0.682, CiteScore: 2)
Advances in Lipobiology     Full-text available via subscription   (Followers: 2)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Marine Biology     Full-text available via subscription   (Followers: 21, SJR: 0.88, CiteScore: 2)
Advances in Mathematics     Full-text available via subscription   (Followers: 17, SJR: 3.027, CiteScore: 2)
Advances in Medical Sciences     Hybrid Journal   (Followers: 9, SJR: 0.694, CiteScore: 2)
Advances in Medicinal Chemistry     Full-text available via subscription   (Followers: 6)
Advances in Microbial Physiology     Full-text available via subscription   (Followers: 5, SJR: 1.158, CiteScore: 3)
Advances in Molecular and Cell Biology     Full-text available via subscription   (Followers: 26)
Advances in Molecular and Cellular Endocrinology     Full-text available via subscription   (Followers: 8)
Advances in Molecular Pathology     Hybrid Journal   (Followers: 1)
Advances in Molecular Toxicology     Full-text available via subscription   (Followers: 7, SJR: 0.182, CiteScore: 0)
Advances in Nanoporous Materials     Full-text available via subscription   (Followers: 4)
Advances in Oncobiology     Full-text available via subscription   (Followers: 2)
Advances in Ophthalmology and Optometry     Full-text available via subscription   (Followers: 1)
Advances in Organ Biology     Full-text available via subscription   (Followers: 2)
Advances in Organometallic Chemistry     Full-text available via subscription   (Followers: 19, SJR: 1.875, CiteScore: 4)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7, SJR: 0.174, CiteScore: 0)
Advances in Parasitology     Full-text available via subscription   (Followers: 6, SJR: 1.579, CiteScore: 4)
Advances in Pediatrics     Full-text available via subscription   (Followers: 27, SJR: 0.461, CiteScore: 1)
Advances in Pharmaceutical Sciences     Full-text available via subscription   (Followers: 21)
Advances in Pharmacology     Full-text available via subscription   (Followers: 17, SJR: 1.536, CiteScore: 3)
Advances in Physical Organic Chemistry     Full-text available via subscription   (Followers: 11, SJR: 0.574, CiteScore: 1)
Advances in Phytomedicine     Full-text available via subscription   (Followers: 1)
Advances in Planar Lipid Bilayers and Liposomes     Full-text available via subscription   (Followers: 3, SJR: 0.109, CiteScore: 1)
Advances in Plant Biochemistry and Molecular Biology     Full-text available via subscription   (Followers: 10)
Advances in Plant Pathology     Full-text available via subscription   (Followers: 6)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Protein Chemistry     Full-text available via subscription   (Followers: 18)
Advances in Protein Chemistry and Structural Biology     Full-text available via subscription   (Followers: 20, SJR: 0.791, CiteScore: 2)
Advances in Psychology     Full-text available via subscription   (Followers: 73)
Advances in Quantum Chemistry     Full-text available via subscription   (Followers: 7, SJR: 0.371, CiteScore: 1)
Advances in Radiation Oncology     Open Access   (Followers: 3, SJR: 0.263, CiteScore: 1)
Advances in Small Animal Medicine and Surgery     Hybrid Journal   (Followers: 3, SJR: 0.101, CiteScore: 0)
Advances in Space Biology and Medicine     Full-text available via subscription   (Followers: 7)
Advances in Space Research     Full-text available via subscription   (Followers: 445, SJR: 0.569, CiteScore: 2)
Advances in Structural Biology     Full-text available via subscription   (Followers: 6)
Advances in Surgery     Full-text available via subscription   (Followers: 12, SJR: 0.555, CiteScore: 2)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 37, SJR: 2.208, CiteScore: 4)
Advances in Veterinary Medicine     Full-text available via subscription   (Followers: 21)
Advances in Veterinary Science and Comparative Medicine     Full-text available via subscription   (Followers: 15)
Advances in Virus Research     Full-text available via subscription   (Followers: 6, SJR: 2.262, CiteScore: 5)
Advances in Water Resources     Hybrid Journal   (Followers: 59, SJR: 1.551, CiteScore: 3)
Aeolian Research     Hybrid Journal   (Followers: 6, SJR: 1.117, CiteScore: 3)
Aerospace Science and Technology     Hybrid Journal   (Followers: 412, SJR: 0.796, CiteScore: 3)
AEU - Intl. J. of Electronics and Communications     Hybrid Journal   (Followers: 8, SJR: 0.42, CiteScore: 2)
African J. of Emergency Medicine     Open Access   (Followers: 6, SJR: 0.296, CiteScore: 0)
Ageing Research Reviews     Hybrid Journal   (Followers: 12, SJR: 3.671, CiteScore: 9)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 487, SJR: 1.238, CiteScore: 3)
Agri Gene     Hybrid Journal   (Followers: 1, SJR: 0.13, CiteScore: 0)
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 18, SJR: 1.818, CiteScore: 5)
Agricultural Systems     Hybrid Journal   (Followers: 32, SJR: 1.156, CiteScore: 4)
Agricultural Water Management     Hybrid Journal   (Followers: 47, SJR: 1.272, CiteScore: 3)
Agriculture and Agricultural Science Procedia     Open Access   (Followers: 4)
Agriculture and Natural Resources     Open Access   (Followers: 3)
Agriculture, Ecosystems & Environment     Hybrid Journal   (Followers: 60, SJR: 1.747, CiteScore: 4)
Ain Shams Engineering J.     Open Access   (Followers: 7, SJR: 0.589, CiteScore: 3)
Air Medical J.     Hybrid Journal   (Followers: 8, SJR: 0.26, CiteScore: 0)
AKCE Intl. J. of Graphs and Combinatorics     Open Access   (SJR: 0.19, CiteScore: 0)
Alcohol     Hybrid Journal   (Followers: 12, SJR: 1.153, CiteScore: 3)
Alcoholism and Drug Addiction     Open Access   (Followers: 12)
Alergologia Polska : Polish J. of Allergology     Full-text available via subscription   (Followers: 2)
Alexandria Engineering J.     Open Access   (Followers: 3, SJR: 0.604, CiteScore: 3)
Alexandria J. of Medicine     Open Access   (Followers: 1, SJR: 0.191, CiteScore: 1)
Algal Research     Partially Free   (Followers: 11, SJR: 1.142, CiteScore: 4)
Alkaloids: Chemical and Biological Perspectives     Full-text available via subscription   (Followers: 2)
Allergologia et Immunopathologia     Full-text available via subscription   (Followers: 1, SJR: 0.504, CiteScore: 1)
Allergology Intl.     Open Access   (Followers: 5, SJR: 1.148, CiteScore: 2)
Alpha Omegan     Full-text available via subscription   (SJR: 3.521, CiteScore: 6)
ALTER - European J. of Disability Research / Revue Européenne de Recherche sur le Handicap     Full-text available via subscription   (Followers: 11, SJR: 0.201, CiteScore: 1)
Alzheimer's & Dementia     Hybrid Journal   (Followers: 60, SJR: 4.66, CiteScore: 10)
Ambulatory Pediatrics     Hybrid Journal   (Followers: 5)
American Heart J.     Hybrid Journal   (Followers: 60, SJR: 3.267, CiteScore: 4)
American J. of Cardiology     Hybrid Journal   (Followers: 68, SJR: 1.93, CiteScore: 3)
American J. of Emergency Medicine     Hybrid Journal   (Followers: 52, SJR: 0.604, CiteScore: 1)
American J. of Geriatric Pharmacotherapy     Full-text available via subscription   (Followers: 13)
American J. of Geriatric Psychiatry     Hybrid Journal   (Followers: 17, SJR: 1.524, CiteScore: 3)
American J. of Human Genetics     Hybrid Journal   (Followers: 42, SJR: 7.45, CiteScore: 8)
American J. of Infection Control     Hybrid Journal   (Followers: 36, SJR: 1.062, CiteScore: 2)
American J. of Kidney Diseases     Hybrid Journal   (Followers: 38, SJR: 2.973, CiteScore: 4)
American J. of Medicine     Hybrid Journal   (Followers: 50)
American J. of Medicine Supplements     Full-text available via subscription   (Followers: 3, SJR: 1.967, CiteScore: 2)
American J. of Obstetrics & Gynecology MFM     Hybrid Journal   (Followers: 2)
American J. of Obstetrics and Gynecology     Hybrid Journal   (Followers: 281, SJR: 2.7, CiteScore: 4)
American J. of Ophthalmology     Hybrid Journal   (Followers: 68, SJR: 3.184, CiteScore: 4)
American J. of Ophthalmology Case Reports     Open Access   (Followers: 6, SJR: 0.265, CiteScore: 0)
American J. of Orthodontics and Dentofacial Orthopedics     Full-text available via subscription   (Followers: 6, SJR: 1.289, CiteScore: 1)
American J. of Otolaryngology     Hybrid Journal   (Followers: 25, SJR: 0.59, CiteScore: 1)
American J. of Pathology     Hybrid Journal   (Followers: 33, SJR: 2.139, CiteScore: 4)
American J. of Preventive Medicine     Hybrid Journal   (Followers: 29, SJR: 2.164, CiteScore: 4)
American J. of Surgery     Hybrid Journal   (Followers: 40, SJR: 1.141, CiteScore: 2)
American J. of the Medical Sciences     Hybrid Journal   (Followers: 12, SJR: 0.767, CiteScore: 1)
Ampersand : An Intl. J. of General and Applied Linguistics     Open Access   (Followers: 8)
Anaerobe     Hybrid Journal   (Followers: 4, SJR: 1.144, CiteScore: 3)
Anaesthesia & Intensive Care Medicine     Full-text available via subscription   (Followers: 71, SJR: 0.138, CiteScore: 0)
Anaesthesia Critical Care & Pain Medicine     Full-text available via subscription   (Followers: 27, SJR: 0.411, CiteScore: 1)
Anales de Cirugia Vascular     Full-text available via subscription   (Followers: 1)
Anales de Pediatría     Full-text available via subscription   (Followers: 3, SJR: 0.277, CiteScore: 0)
Anales de Pediatría (English Edition)     Full-text available via subscription  
Anales de Pediatría Continuada     Full-text available via subscription  
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 7, SJR: 4.849, CiteScore: 10)
Analytica Chimica Acta     Hybrid Journal   (Followers: 44, SJR: 1.512, CiteScore: 5)
Analytica Chimica Acta : X     Open Access  
Analytical Biochemistry     Hybrid Journal   (Followers: 233, SJR: 0.633, CiteScore: 2)
Analytical Chemistry Research     Open Access   (Followers: 14, SJR: 0.411, CiteScore: 2)
Analytical Spectroscopy Library     Full-text available via subscription   (Followers: 14)
Anesthésie & Réanimation     Full-text available via subscription   (Followers: 2)
Anesthesiology Clinics     Full-text available via subscription   (Followers: 25, SJR: 0.683, CiteScore: 2)
Angiología     Full-text available via subscription   (SJR: 0.121, CiteScore: 0)
Angiologia e Cirurgia Vascular     Open Access   (Followers: 1, SJR: 0.111, CiteScore: 0)

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Similar Journals
Journal Cover
Advances in Computers
Journal Prestige (SJR): 0.205
Citation Impact (citeScore): 1
Number of Followers: 15  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 0065-2458
Published by Elsevier Homepage  [3203 journals]
  • Effectiveness of state-of-the-art dynamic analysis techniques in
           identifying diverse Android malware and future enhancements
    • Abstract: Publication date: Available online 8 May 2020Source: Advances in ComputersAuthor(s): Jyoti Gajrani, Vijay Laxmi, Meenakshi Tripathi, M.S. Gaur, Akka Zemmari, Mohamed Mosbah, Mauro Conti
       
  • Eigenvideo for video indexing
    • Abstract: Publication date: Available online 4 May 2020Source: Advances in ComputersAuthor(s): Nora Alosily, Sanjiv K. Bhatia
       
  • Eyeing the patterns: Data visualization using doubly-seriated color
           heatmaps
    • Abstract: Publication date: Available online 24 April 2020Source: Advances in ComputersAuthor(s): Matthew Lane, Alberto Maiocco, Sanjiv K. Bhatia, Sharlee Climer
       
  • A study of DVFS methodologies for multicore systems with islanding feature
    • Abstract: Publication date: Available online 24 April 2020Source: Advances in ComputersAuthor(s): Shervin Hajiamini, Behrooz A. Shirazi
       
  • Fast execution of RDF queries using Apache Hadoop
    • Abstract: Publication date: Available online 24 April 2020Source: Advances in ComputersAuthor(s): Somnath Mazumdar, Alberto Scionti
       
  • Chapter Four - The industry use cases for the Digital Twin idea
    • Abstract: Publication date: 2020Source: Advances in Computers, Volume 117, Issue 1Author(s): Peter Augustine
       
  • About the authors
    • Abstract: Publication date: 2020Source: Advances in Computers, Volume 118Author(s):
       
  • Air pollution control model using machine learning and IoT techniques
    • Abstract: Publication date: Available online 30 December 2019Source: Advances in ComputersAuthor(s): Chetan Shetty, B.J. Sowmya, S. Seema, K.G. SrinivasaAbstractProblem with the automobile engines continues to increase in a very large scale. Every vehicle has its own emission but problem arises when the emission occurs beyond standard values. Even though lot of changes has been made in the consumption of fuel, increasing urbanization and industrialization contribute for the poor air quality. With the technical advancements in machine learning, it's been possible to build predictive models for monitoring and controlling pollution based on the real-time data. With this, we are using IoT techniques for monitoring the emission rates of vehicles. A predictive model is built on the real-time data available, predicting the values of carbon monoxide. Sensors are embedded in the vehicles to measure the pollutants levels. By using the monitoring techniques, vehicle details such as location, owner is notified with the current situation of pollution in his location and his vehicle emission rate contributing to environment. Machine learning model is used for the prediction of pollution level in the vehicle location based on the previous data and the current data obtained by the sensors. Here the pollutants level can be controlled using smart emission surveillance system. The system shoots beyond threshold value taken from the Bharat Stage emission standards then automatically a notification will be sent to the vehicle owner. The emitted level will be monitored and the fuel supply to the engine will be cut off using solenoid valve at the same time.
       
  • Digital twin: Empowering edge devices to be intelligent
    • Abstract: Publication date: Available online 16 December 2019Source: Advances in ComputersAuthor(s): Vidya Hungud, Senthil Kumar ArunachalamAbstractEdge/fog devices, such as machineries at manufacturing floors, instruments in hospitals, digital assistants with human beings, equipment and appliances at factories, wares and utensils at homes, cameras at important places such as airports, railway stations, retail stores and malls, entertainment plazas, eating joints, stadiums, and auditoriums are all set to join in the mainstream computing as they are being stuffed with increased processing capabilities, memory and storage capacities. They are also being connected with one another in the vicinity directly and indirectly through a middleware solution. Also remotely held, cloud-hosted and cyber applications and databases are also being integrated with ground-level edge/fog devices. Through such extreme connectivity and deeper integration, edge and fog devices are intrinsically and externally enabled to do real-time data capture, processing, analytics, knowledge discovery, decision-making and actuation. Precisely speaking, edge/fog devices and their clusters are all set to become the next-generation, highly optimized and organized IT infrastructure for producing and delivering real-time applications and services. In other words, edge/fog clouds are being dynamically established and sustained in order to provide a variety of service-oriented, event-driven, people-centric, mission-critical, knowledge-filled, and context-aware services for both professionals and commoners.Real-time sensor and streaming data analytics can be easily accomplished through edge clouds in order to supply personalized, predictive and prescriptive insights. Edge clouds are also getting synchronized with conventional clouds such as public, private, and hybrid clouds in order to facilitate comprehensive and historical data analytics. This chapter is for accentuating and articulating how edge devices become intelligent in their actions and reactions in conjunction with their respective digital twins.
       
  • Industry 4.0: Industrial Internet of Things (IIOT)
    • Abstract: Publication date: Available online 14 December 2019Source: Advances in ComputersAuthor(s): Sathyan MunirathinamAbstractThe physical world is transformed into being digitized and makes everything connected. An explosion of smart devices and technologies has allowed mankind to be in constant communication anywhere and anytime. IoT trend has created a sub-segment of the IoT market known as the industrial Internet of Things (IIoT) or Industry 4.0. Industry 4.0 dubbed I4.0 marks the fourth in the Industrial Revolution that focuses heavily on interconnectivity, automation, autonomy, machine learning, and real-time data. By 2020, it is estimated that over 30 billion of the world's devices will be connected in some way—which is 20 billion more devices than today! The consistent capturing and transmitting of data among machines provide manufacturing companies with many growth opportunities. The IIoT is expected to transform how we live, work and play. The number one challenge faced by the Industrial IoT is security and privacy. If we cannot alleviate many of the security and privacy issues that impact the Industrial IoT, we will not be able to achieve its full potential. IoT and the trend toward greater connectivity means more data gathered from more places, in real time, to enable real-time decisions and increase revenue, productivity, and efficiency.
       
  • The fog computing/edge computing to leverage Digital Twin
    • Abstract: Publication date: Available online 5 December 2019Source: Advances in ComputersAuthor(s): J. Pushpa, S.A. KalyaniAbstractCloning the real world entity to virtual object is already studied in most of the field but making the cloned object more intelligent and healer of real-time physical object will give a new vision on technology. Digital Twin is fitting into the above statement. It is the conjugation of Machine Learning, Artificial Intelligence, IoT and Big data to evolve as ubiquitous solution for all kind of issue. Digital Twin can build on many form based on the requirement which is basically designed to resolve the challenges of the real world entity.Digital Twin is not limited for solving standalone system, single entity and Machinery problem but also suitable for all kind of data management and controlling issues. Digital Twin can extend its arm by embedding with Edge or Fog computing which can be the solution to reduce the connectivity and latency issue in network.In this chapter, Methodologies for leveraging the Digital Twin using Fog/Edge computing will be discussed with the suitable use case such as Wind Turbine, Product Management, Healthcare center and so on. We also discuss the Financial Benefit, Tangible Benefits and Connectivity Model.
       
  • Digital twin technology for “smart manufacturing”
    • Abstract: Publication date: Available online 27 November 2019Source: Advances in ComputersAuthor(s): Preetha Evangeline, AnandhakumarAbstractThe insights into additive manufacturing, the Internet of Things, and analytics enable us to help organizations reassess their people, processes, and technologies in light of advanced manufacturing practices that are evolving every day. Manufacturing processes are becoming increasingly digital. As this trend unfolds, many companies often struggle to determine what they should be doing to drive and deliver real value both operationally and strategically. Indeed digital solutions may promise significant value for an organization. Of particular fascination of late seems to be the notion of a digital twin: a near-real-time digital image of a physical object or process that helps optimize business performance.
       
  • Stepping into the digitally instrumented and interconnected era
    • Abstract: Publication date: Available online 25 November 2019Source: Advances in ComputersAuthor(s): Pethuru Raj, Jenn-Wei LinAbstractThis chapter is to tell all about the digitization-inspired possibilities and opportunities and how software-defined cloud centers are the best fit for hosting and running digital applications. Also, how the next-generation data analytics can be smartly accomplished through cloud platforms and infrastructures is also explained in detail. We are to describe some of the impactful developments and technological advancements brewing in the IT space, how the tremendous amount of data getting produced and processed through cloud systems is to impact the IT and business domains, and how next-generation IT infrastructures are accordingly getting refactored, remedied and readied for the impending big data-induced challenges, how likely the move of the data analytics discipline toward fulfilling the digital universe requirements of extracting and extrapolating actionable insights for the knowledge-parched is, and finally for the establishment and sustenance of the dreamt smarter planet. In short, the uninhibited explosion of digitized systems and connected devices pour out a tremendous amount of multi-structured data and the impending challenge is to make sense out of the data heaps. Data analytics is the way to go and in the recent past, the overwhelming trend is to empower our everyday systems with machine and deep learning algorithms to automatically learn out of data heaps and streams in order to be distinctively intelligent in their actions and reactions. This chapter is specially prepared to put a stimulating foundation for explaining the nitty-gritty of the Digital Twin paradigm.
       
  • Machine learning and deep learning algorithms on the Industrial Internet
           of Things (IIoT)
    • Abstract: Publication date: Available online 22 November 2019Source: Advances in ComputersAuthor(s): P. AmbikaAbstractDeep transformation and human progress is a new industrial revolution that makes “Automation of Everything.” It connects all digital interfaces, data analysis and control of the physical world through networks of computers. This key revolution promises everyone to unlock trillions of opportunities in the next decade. Human could feel massive improvements in productivity in physical and digital industries that enhances quality life of a human healthier and more sustainable community. In the world of IIoT, the creation of massive amounts of data from a various sensors is common and there is lot of challenges. This goal of this chapter is to provide a comprehensive review about Machine learning and deep learning techniques, popular algorithms, and their impact on Industrial Internet of Things. This chapter also delves use cases where machine learning is used and to gain insights from IoT data.
       
  • The growing role of integrated and insightful big and real-time data
           analytics platforms
    • Abstract: Publication date: Available online 21 November 2019Source: Advances in ComputersAuthor(s): Ranganathan Indrakumari, Thangamuthu Poongodi, Palanimuthu Suresh, Balusamy BalamuruganDigitization era is altering several industries which include the way in which the data is analyzed and it is inferred that about 2.7 Zettabytes of data exist in the digital world today. By 2020 the data generated per second for every human being will approximate amount to 1.7 megabytes and the volume of data would double every 2 years thus reach the 40 ZB point by 2020. Interactive Data Corporation (IDC) estimated that by the end of year 2020, the e-commerce transactions B2B and B2C will hit 450 billion per day on the internet.The advent of Big and real time Data has triggered disruptive changes in many fields and the exploding volume of different sources of data like heterogeneous data, data integration, spatio-temporal correlation of data, batch analytics and real-time analytics, data sharing, semantic interoperability requires the development of a scalable platform that can fuse multiple data layers to handles the data intelligently.In Big Data approaches, the challenge is not anymore to collect the data, but to draw valuable conclusions by properly analyzing them. The growth in Unstructured Data generated by business is irrefutable and they are under more pressure to preserve it for longer periods of time. To be clear, exploiting the collected data has been always considered by practitioners and researchers, but the huge velocity, heterogeneity and enormity of massive stream of real-time data shove the limits of the current storage, management and processing capabilities.Admittedly, the traditional method of Extract, Transform and Load (ETL) are challenged and cannot be applied on the emerging opportunistically and crowed sensed data streams. Some of these data streams are structured in a way that serve only one predefined purpose and cannot be directly used for other means. Yet, there are emerging unstructured data such as context-based data from the internet and social media as well as credit card transactions that is not clear if they can be used to better understand the mobility patterns.The analytical company Gartner states that by 2020 there will be over 26 billion interconnected devices. It is obvious, that they will produce massive amounts of meaningful data. Those data can be used for many applications such as real-time industrial equipment monitoring, traffic planning, automated maintenance, etc. Therefore, it is essential to develop modern system abstractions that allow us to resourcefully process huge and new data streams. This enormous amount of data urges the growth of integrated and insightful big and real-time data analytics Platforms.The upcoming contemporary technology like digital twin, integrates historical data from past machine usage to the current data. It uses sensors to collect the real-time data, working status and other operational data attached to the physical model. These components send the relevant data via a cloud-based system to the other side of the bridge with the help of data analytics platform which produces the required insights. The big and real-time data analytics Platforms assist to perform useful operations on data analytics as a complete package. For this purpose, data analytics platform are used to acquire constructive insight from the huge volume of data.Data analytics platform is an ecosystem of technologies and services that can help the businesses in increasing revenues, enhance operational efficiency, stabilize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals. The data analytics platform finds the pattern and relationships in data by applying statistical techniques and communicates the results generated by analytical models to executives and end users to make decisions with the help of data visualization tools that display data on a single screen and can be updated in real time as new information becomes available. Big data and real-time data analytics platform supports the full spectrum of data types, protocols and integration to speed up and simplify the data wrangling process. The big data and real time platform provides accurate data, increase efficiency in the workspace, gives answers to complex questions along with security and hence it plays the key role in business analytics.
       
  • Addressing issues with MLC phase-change memory
    • Abstract: Publication date: Available online 19 November 2019Source: Advances in ComputersAuthor(s): Marjan Asadinia, Hamid Sarbazi-AzadAbstractAll of the presented solutions in this book focused on using MLC phase change memory (PCM) due to density advantage and prolonging PCM lifetime. However, resistance drift can be one of the challenging issues for MLC PCMs. While it is desired to have the density advantage of MLC, the trade-off is resistance drift. Since MLCs have closely separated resistance regions, drift has a chance of overlapping intermediate regions. It may then bring out either single bit or multi-bit soft error. Indeed, drift source is related to the semi amorphous resistance regions that are metastable vs time and temperature while crystalline resistance proves to be stable across time and temperature. This chapter solves this challenge of resistance drift problems by designing a memory architecture and circuit. It improves energy, latency and reliability of MLC PCM while maintaining its capacity advantage. The solution we offer is variable resistance spectrum MLC PCM.
       
  • Inter-line level schemes for handling hard errors in PCMs
    • Abstract: Publication date: Available online 19 November 2019Source: Advances in ComputersAuthor(s): Marjan Asadinia, Hamid Sarbazi-AzadAbstractTo address the problem of fast degradation in PCM main memory systems in the presence of severe cell wear-out, this chapter introduces and evaluates some ways to deal with hard error issues in phase change memory. Our observation reveals when some memory pages reach their endurance limits, other pages may be far from their limits even when using a perfect wear-leveling. Recent studies have proposed redirection or correction schemes to alleviate this problem, but all suffer from poor throughput or latency.In this chapter, we also propose On-demand page paired PCM (OD3P) memory system. Our technique mitigates the problem of fast failure of pages by redirecting them onto other healthy pages, leading to gradual memory capacity degradation. We then extend our proposed scheme at line-level, called line-level OD3P as a way to increase the durability of PCM pages by enabling line pairing within a page. Afterwards, we introduce our simulation environment and experimental results of our evaluations.
       
  • Handling hard errors in PCMs by using intra-line level schemes
    • Abstract: Publication date: Available online 19 November 2019Source: Advances in ComputersAuthor(s): Marjan Asadinia, Hamid Sarbazi-AzadAbstractIn this chapter, we first introduce one shifting mechanisms in order to further prolonging the lifetime of a phase change memory (PCM) device, reducing the write rate to PCM cells, and handling cell failures when hard faults occur. In this line, Byte-level Shifting Scheme (BLESS) is addressed and reduces write pressure over hot cells of blocks. Additionally, we illustrate that using the MLC capability of PCM and manipulating the data block to recover faulty cells can also be used for error recovery purpose. Next, we propose another intra-line level pairing scheme (ILP). This novel recovery mechanism can statically partition a data block into a small number of groups and efficiently benefits from the advantages of MLC capability and enables word-pairing mechanism within a line.
       
  • Phase-change memory architectures
    • Abstract: Publication date: Available online 19 November 2019Source: Advances in ComputersAuthor(s): Marjan Asadinia, Hamid Sarbazi-AzadAbstractSome of the recent approaches regarding leverage PCM will be reviewed in this chapter. The chapter starts with a discussion regarding future main memory systems that includes hybrid architecture schemes using both PCM and DRAM arrays. Later, we focus on PCM only approaches and this section will help describe some techniques for reducing the increased read latency because of slow writes in PCMs.In this chapter, we also illustrate wear-leveling approaches and review the security problems of this memory approach which are lifetime limited. This section includes an overview of the recent security aware wear-leveling techniques, whose methods help detect attacks, and their issues during the runtime.Finally, we describe efficient schemes with hard error detection and correction capabilities as well as soft error problems like resistance drift.
       
  • Introduction to nonvolatile memory technologies
    • Abstract: Publication date: Available online 11 November 2019Source: Advances in ComputersAuthor(s): Marjan Asadinia, Hamid Sarbazi-AzadAbstractDynamic Random Access Memory (DRAM) has been the leading main memory technology during the last four decades. In deep submicron regime, however, scaling DRAM comes with several challenges caused by charge leakage and imprecise charge placement. Phase Change Memory (PCM) technology is known as one of the most promising technologies to replace DRAM. Compared to competitive nonvolatile memories like NAND Flash, Spin Transfer Torque random-access memory (STT-RAM), Magnetoresistive random-access memory (MRAM), PCM benefits from best attributes of fast random access, negligible leakage energy, superior scalability, high density, and operating in both Single-level Cell (SLC) and Multilevel Cell (MLC) storage levels without imposing large storage overhead. Unfortunately, density advantage of MLC PCM devices comes at the cost of lower write endurance that results in fast wear-out of memory cells. Adding to it, other preliminary concerns for PCM applicability are related to low resilience to soft errors because of resistance drift, higher latency and energy consumption. To alleviate this issue, recent studies have proposed redirection or correction schemes, but all suffer from poor throughput and latency. None of the techniques proposed in the literature to improve the lifetime and reliability of PCM memories consider the impressive characteristic of PCMs to easily shape-shifting from SLC to MLC storage level using some negligible overhead of read/write circuits. We exploit this remarkable ability to propose some new techniques to improve the durability and reliability of PCMs in this book. This chapter gives an overview of nonvolatile memory technologies, memory hierarchy in modern computers, PCM technology maturity and finally introduce the structure of the book and its chapters.
       
  • The emerging phase change memory
    • Abstract: Publication date: Available online 11 November 2019Source: Advances in ComputersAuthor(s): Marjan Asadinia, Hamid Sarbazi-AzadAbstractThis chapter evaluates viewpoints on the Phase Change Memory (PCM) devices and materials entailing multi-level cell (MLC) phase change memory as well as its trade-offs. This chapter lists the main difficulties related to PCMs and possible recommendations to address those challenges. The next chapters introduce some simple techniques to alleviate some of the problems listed here.
       
  • Energy-efficient edge based real-time healthcare support system
    • Abstract: Publication date: Available online 23 October 2019Source: Advances in ComputersAuthor(s): S. Abirami, P. ChitraAbstractThe ubiquitous usage of wearable IoT (wIoT) devices has created a formidable opportunity for remote health monitoring system to provide paramount services such as preventive care and early intervention for populations at risk. The cloud-edge paradigm can efficiently manifest the complex computations required in providing these services. But the challenge in its exertion lies in incorporating intelligence at the edge devices. With the deluge of data availability, deep learning methods are very promising to obtain sufficient performance in healthcare applications. As the edge devices are resource-constrained in terms of compute capability and energy consumption, unleashing deep learning services from the cloud to the edge requires efficient tackling of the exorbitant computational and energy requirements of deep learning frameworks. In this chapter, an energy-efficient smart edge based health care support system (EESE-HSS) is proposed for diabetic patients with cardiovascular disease. The proposed cloud-edge paradigm makes use of a hierarchical computing architecture for exerting expeditious diagnosis during emergencies. The intelligence framework incorporated at the edge is also built in an energy-efficient manner. Thus, the proposed healthcare support system has better efficacy in terms of energy efficiency and reduced latency. This makes it very supportive for fall detection in diabetic patients with cardiovascular disease who are susceptible to the risk of heart attack, stroke, heart failure and other vicious diseases.
       
  • Digital twin in consumer choice modeling
    • Abstract: Publication date: Available online 22 October 2019Source: Advances in ComputersAuthor(s): D. Sudaroli VijayakumarAbstract“Digital twin” more often perceived as a twin terminology along with industry virtualization of physical assets. The usage of digital twin on physical asset is well known, such as to predict when the individual parts of a machine must be replaced. However, digital twin technology in non-physical modeling is a vibrant research area. One area where digital twin can be effective is predicting the customer's needs. Most businesses to predict the customer's needs uses risk analysis and profitability assessment which holds its own pitfalls. One of the major downfalls arises during the analysis on historical data is the time consumed.Time is one of the crucial factors that determines the profit a company makes, holding of customers, satisfying the customers' needs at the right time, fails because of the static behavior. This can be made more effective by enforcing Digital twin to track the customer behavior dynamically such as the products they consume, their satisfaction. So instead of relying on the historical data, the data for digital twin will be from CRMs, logs, order processing info etc. Right product at right time can be achieved by creating suitable machine learning models on this dynamic dataset and this trained model are held in the digital twin, which runs them in real time. For achieving this approach, a specific technology called Tarantool Data Grid is very useful. In this chapter, we will explore how this technology can be used to create consumer choice modeling using Digital Twin with suitable use cases.
       
  • The human body: A digital twin of the cyber physical systems
    • Abstract: Publication date: Available online 22 October 2019Source: Advances in ComputersAuthor(s): Janet Barnabas, Pethuru RajAbstractThe human body is an excellent engineered product from which many computing systems have drawn its inspiration. The seamless integration of computation and physical components create and substantiate the human body as an excellent parallel of the cyber physical systems (CPS).The human body is a combination of computation, communication and control processes. The Embedded sensors all over the body monitors and controls the physical processes, with feedback loops where physical processes affect actions and reactions and vice versa. This system can be termed as a digital twin of the present CPS.In this chapter, we will analyze the architecture of a cyber physical system and spring parallels to the functioning of various systems in the human body to gather pearls of wisdom from its design as it is a multifarious digital twin of the CPS. The twin is biological systems of the human body and not a virtual system.
       
  • Digital twin: The industry use cases
    • Abstract: Publication date: Available online 22 October 2019Source: Advances in ComputersAuthor(s): Pethuru Raj, Chellammal SurianarayananAbstractWithout an iota of doubt, the well-intended digital transformation initiatives through the smart and systematic application of digitization and digitalization technologies and tools is leading to both tactical as well as strategical accomplishments across industry verticals. Worldwide enterprising businesses ought to consistently and consciously embark on various digital innovation and disruption activities in order to be ahead of their competitors in the knowledge-driven marketplace. There are a number of pioneering digital technologies emerging to speed up and streamline the activities to meet up digital transformation goals. Digital twin is perhaps one of the widely discussed and dissected digital intelligence technologies for the forthcoming era of knowledge-filled, mission-critical and people-centric services. With the faster maturity and stability of information, communication, sensing, perception, decision-making and actuation technologies, the digital twin paradigm is acquiring a lot of mind and market shares. This chapter is specially prepared and incorporated in this book to tell the prominent and dominant use cases of the fast-evolving digital twin. We have also added a number of industry use cases and benefits for unambiguously substantiating the varied claims on the future of this unique and sustainable discipline.
       
  • Impact of cloud security in digital twin
    • Abstract: Publication date: Available online 17 October 2019Source: Advances in ComputersAuthor(s): N. Susila, Sruthi Anand, S. UshaAbstractDigital Twin is a way to virtually represent or model a physical object using the real time data. This innovation sets up a way to deal with industries and organizations to supervise their products, consequently bridging the gap between design and implementations. As the name suggests, “Digital Twin” infers that a reproduction of the product is made in order to have a nearby relationship with the live item. The procedure of computerized twin begins by gathering real time data, processed data, and operational data and performs distinctive investigation which helps in anticipating the future. This additionally enhances the customer experiences by giving a digital feel of their product. The objective behind all these is the job of gathering information and putting them in a place, i.e., the cloud which could store exorbitant data. The user experience gets enhanced by the intervention of digital twin technology which could help in the successful working of the products geographically distributed. The impact of Internet of Things and Cloud Computing lifts up the digital twin.The information gathered from the sources can be arranged in terms of utilization and prospect to change on a timely basis. These data, as they are stored require proper coordination and a legitimate use.Digital Twin innovation assumes incredible opportunities in the field of manufacturing, healthcare, smart cities, automobile and so on. The effect of having a digital twin for the product makes it simple for activities and recognize the blemishes, if any happened. This approach can help reduce the workload and furthermore can get trained on the virtual machine without the need of a specific training.With the most prevailing technologies of today, like Artificial Intelligence, Machine Learning and Internet of Things more prominent approach to train and monitor products, taking care of its own execution, collaborating to different frameworks, performing self-repairs are made possible. Hence the future is getting unfolded with the emerging DIGITAL TWIN era. The massive data utilized in the field of digital twin is prone to severe security breaches. Thus digital twin technology should be handled with extreme care so as to protect the data. Hence, this chapter identifies the ways and means of collecting, organizing and storing the data in a secured cloud environment. The data is filtered according to the use and priority and pushed into the cloud. It is determined to implement an exclusive algorithm for a secured cloud which would greatly benefit the users and the providers to handle and process it effectively.
       
 
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