Publisher: Scientific Research Publishing   (Total: 230 journals)

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Showing 1 - 200 of 243 Journals sorted alphabetically
Advances in Aerospace Science and Technology     Open Access   (Followers: 16)
Advances in Alzheimer's Disease     Open Access   (Followers: 8)
Advances in Anthropology     Open Access   (Followers: 19)
Advances in Applied Sociology     Open Access   (Followers: 17)
Advances in Biological Chemistry     Open Access   (Followers: 9)
Advances in Bioscience and Biotechnology     Open Access   (Followers: 21)
Advances in Breast Cancer Research     Open Access   (Followers: 18)
Advances in Chemical Engineering and Science     Open Access   (Followers: 112)
Advances in Computed Tomography     Open Access   (Followers: 2)
Advances in Entomology     Open Access   (Followers: 3)
Advances in Enzyme Research     Open Access   (Followers: 10)
Advances in Historical Studies     Open Access   (Followers: 10)
Advances in Infectious Diseases     Open Access   (Followers: 9)
Advances in Internet of Things     Open Access   (Followers: 18)
Advances in J.ism and Communication     Open Access   (Followers: 27)
Advances in Linear Algebra & Matrix Theory     Open Access   (Followers: 6)
Advances in Literary Study     Open Access   (Followers: 1)
Advances in Lung Cancer     Open Access   (Followers: 11)
Advances in Materials Physics and Chemistry     Open Access   (Followers: 33)
Advances in Microbiology     Open Access   (Followers: 24)
Advances in Molecular Imaging     Open Access   (Followers: 1)
Advances in Nanoparticles     Open Access   (Followers: 17)
Advances in Parkinson's Disease     Open Access   (Followers: 2)
Advances in Physical Education     Open Access   (Followers: 13)
Advances in Pure Mathematics     Open Access   (Followers: 9)
Advances in Remote Sensing     Open Access   (Followers: 53)
Advances in Reproductive Sciences     Open Access   (Followers: 1)
Advances in Sexual Medicine     Open Access   (Followers: 3)
Agricultural Sciences     Open Access   (Followers: 5)
American J. of Analytical Chemistry     Open Access   (Followers: 27)
American J. of Climate Change     Open Access   (Followers: 41)
American J. of Computational Mathematics     Open Access   (Followers: 4)
American J. of Industrial and Business Management     Open Access   (Followers: 26)
American J. of Molecular Biology     Open Access   (Followers: 4)
American J. of Operations Research     Open Access   (Followers: 6)
American J. of Plant Sciences     Open Access   (Followers: 20)
Applied Mathematics     Open Access   (Followers: 6)
Archaeological Discovery     Open Access   (Followers: 4)
Art and Design Review     Open Access   (Followers: 13)
Atmospheric and Climate Sciences     Open Access   (Followers: 34)
Beijing Law Review     Open Access   (Followers: 4)
Case Reports in Clinical Medicine     Open Access   (Followers: 3)
CellBio     Open Access  
Chinese Medicine     Open Access   (Followers: 3)
Chinese Studies     Open Access   (Followers: 4)
Circuits and Systems     Open Access   (Followers: 16)
Communications and Network     Open Access   (Followers: 13)
Computational Chemistry     Open Access   (Followers: 3)
Computational Molecular Bioscience     Open Access   (Followers: 1)
Computational Water, Energy, and Environmental Engineering     Open Access   (Followers: 5)
Creative Education     Open Access   (Followers: 14)
Crystal Structure Theory and Applications     Open Access   (Followers: 4)
Current Urban Studies     Open Access   (Followers: 15)
Detection     Open Access   (Followers: 3)
E-Health Telecommunication Systems and Networks     Open Access   (Followers: 3)
Energy and Power Engineering     Open Access   (Followers: 23)
Engineering     Open Access   (Followers: 2)
Food and Nutrition Sciences     Open Access   (Followers: 24)
Forensic Medicine and Anatomy Research     Open Access   (Followers: 7)
Geomaterials     Open Access   (Followers: 2)
Graphene     Open Access   (Followers: 7)
Green and Sustainable Chemistry     Open Access   (Followers: 4)
Health     Open Access   (Followers: 4)
iBusiness     Open Access   (Followers: 2)
InfraMatics     Open Access  
Intelligent Control and Automation     Open Access   (Followers: 6)
Intelligent Information Management     Open Access   (Followers: 7)
Intl. J. of Analytical Mass Spectrometry and Chromatography     Open Access   (Followers: 7)
Intl. J. of Astronomy and Astrophysics     Open Access   (Followers: 32)
Intl. J. of Clean Coal and Energy     Open Access   (Followers: 2)
Intl. J. of Clinical Medicine     Open Access   (Followers: 2)
Intl. J. of Communications, Network and System Sciences     Open Access   (Followers: 9)
Intl. J. of Geosciences     Open Access   (Followers: 10)
Intl. J. of Intelligence Science     Open Access   (Followers: 3)
Intl. J. of Internet and Distributed Systems     Open Access   (Followers: 2)
Intl. J. of Medical Physics, Clinical Engineering and Radiation Oncology     Open Access   (Followers: 11)
Intl. J. of Modern Nonlinear Theory and Application     Open Access   (Followers: 2)
Intl. J. of Nonferrous Metallurgy     Open Access   (Followers: 5)
Intl. J. of Organic Chemistry     Open Access   (Followers: 9)
Intl. J. of Otolaryngology and Head & Neck Surgery     Open Access   (Followers: 5)
J. of Agricultural Chemistry and Environment     Open Access   (Followers: 3)
J. of Analytical Sciences, Methods and Instrumentation     Open Access   (Followers: 5)
J. of Applied Mathematics and Physics     Open Access   (Followers: 9)
J. of Behavioral and Brain Science     Open Access   (Followers: 7)
J. of Biomaterials and Nanobiotechnology     Open Access   (Followers: 6)
J. of Biomedical Science and Engineering     Open Access   (Followers: 1)
J. of Biophysical Chemistry     Open Access   (Followers: 3)
J. of Biosciences and Medicines     Open Access  
J. of Building Construction and Planning Research     Open Access   (Followers: 10)
J. of Cancer Therapy     Open Access   (Followers: 1)
J. of Computer and Communications     Open Access   (Followers: 1)
J. of Cosmetics, Dermatological Sciences and Applications     Open Access   (Followers: 2)
J. of Crystallization Process and Technology     Open Access   (Followers: 7)
J. of Data Analysis and Information Processing     Open Access   (Followers: 2)
J. of Diabetes Mellitus     Open Access   (Followers: 5)
J. of Electromagnetic Analysis and Applications     Open Access   (Followers: 5)
J. of Electronics Cooling and Thermal Control     Open Access   (Followers: 9)
J. of Encapsulation and Adsorption Sciences     Open Access   (Followers: 1)
J. of Environmental Protection     Open Access   (Followers: 1)
J. of Financial Risk Management     Open Access   (Followers: 7)
J. of Flow Control, Measurement & Visualization     Open Access   (Followers: 1)
J. of Geographic Information System     Open Access   (Followers: 6)
J. of Geoscience and Environment Protection     Open Access  
J. of High Energy Physics, Gravitation and Cosmology     Open Access   (Followers: 4)
J. of Human Resource and Sustainability Studies     Open Access   (Followers: 1)
J. of Immune Based Therapies, Vaccines and Antimicrobials     Open Access   (Followers: 2)
J. of Information Security     Open Access   (Followers: 11)
J. of Intelligent Learning Systems and Applications     Open Access   (Followers: 4)
J. of Materials Science and Chemical Engineering     Open Access   (Followers: 1)
J. of Mathematical Finance     Open Access   (Followers: 7)
J. of Minerals and Materials Characterization and Engineering     Open Access   (Followers: 3)
J. of Modern Physics     Open Access   (Followers: 8)
J. of Power and Energy Engineering     Open Access   (Followers: 2)
J. of Quantum Information Science     Open Access   (Followers: 4)
J. of Sensor Technology     Open Access   (Followers: 3)
J. of Service Science and Management     Open Access  
J. of Signal and Information Processing     Open Access   (Followers: 9)
J. of Software Engineering and Applications     Open Access   (Followers: 12)
J. of Surface Engineered Materials and Advanced Technology     Open Access   (Followers: 3)
J. of Sustainable Bioenergy Systems     Full-text available via subscription  
J. of Transportation Technologies     Open Access   (Followers: 13)
J. of Tuberculosis Research     Open Access   (Followers: 1)
J. of Water Resource and Protection     Open Access   (Followers: 6)
Low Carbon Economy     Open Access   (Followers: 4)
Materials Sciences and Applications     Open Access   (Followers: 2)
Microscopy Research     Open Access   (Followers: 2)
Modeling and Numerical Simulation of Material Science     Open Access   (Followers: 14)
Modern Chemotherapy     Open Access  
Modern Economy     Open Access   (Followers: 3)
Modern Instrumentation     Open Access   (Followers: 58)
Modern Mechanical Engineering     Open Access   (Followers: 66)
Modern Plastic Surgery     Open Access   (Followers: 6)
Modern Research in Catalysis     Open Access  
Modern Research in Inflammation     Open Access  
Natural Resources     Open Access  
Natural Science     Open Access   (Followers: 8)
Neuroscience & Medicine     Open Access   (Followers: 2)
New J. of Glass and Ceramics     Open Access   (Followers: 6)
Occupational Diseases and Environmental Medicine     Open Access   (Followers: 3)
Open J. of Accounting     Open Access   (Followers: 2)
Open J. of Acoustics     Open Access   (Followers: 23)
Open J. of Air Pollution     Open Access   (Followers: 4)
Open J. of Anesthesiology     Open Access   (Followers: 9)
Open J. of Animal Sciences     Open Access   (Followers: 4)
Open J. of Antennas and Propagation     Open Access   (Followers: 10)
Open J. of Apoptosis     Open Access  
Open J. of Applied Biosensor     Open Access  
Open J. of Applied Sciences     Open Access  
Open J. of Biophysics     Open Access  
Open J. of Blood Diseases     Open Access  
Open J. of Business and Management     Open Access   (Followers: 3)
Open J. of Cell Biology     Open Access   (Followers: 1)
Open J. of Civil Engineering     Open Access   (Followers: 7)
Open J. of Clinical Diagnostics     Open Access   (Followers: 1)
Open J. of Composite Materials     Open Access   (Followers: 21)
Open J. of Depression     Open Access   (Followers: 2)
Open J. of Discrete Mathematics     Open Access   (Followers: 3)
Open J. of Earthquake Research     Open Access   (Followers: 3)
Open J. of Ecology     Open Access   (Followers: 8)
Open J. of Emergency Medicine     Open Access   (Followers: 2)
Open J. of Endocrine and Metabolic Diseases     Open Access   (Followers: 1)
Open J. of Energy Efficiency     Open Access   (Followers: 1)
Open J. of Epidemiology     Open Access   (Followers: 2)
Open J. of Fluid Dynamics     Open Access   (Followers: 35)
Open J. of Forestry     Open Access   (Followers: 1)
Open J. of Gastroenterology     Open Access   (Followers: 1)
Open J. of Genetics     Open Access  
Open J. of Geology     Open Access   (Followers: 14)
Open J. of Immunology     Open Access   (Followers: 4)
Open J. of Inorganic Chemistry     Open Access   (Followers: 1)
Open J. of Inorganic Non-metallic Materials     Open Access   (Followers: 2)
Open J. of Internal Medicine     Open Access  
Open J. of Leadership     Open Access   (Followers: 18)
Open J. of Marine Science     Open Access   (Followers: 6)
Open J. of Medical Imaging     Open Access   (Followers: 2)
Open J. of Medical Microbiology     Open Access   (Followers: 4)
Open J. of Medical Psychology     Open Access  
Open J. of Medicinal Chemistry     Open Access   (Followers: 4)
Open J. of Metal     Open Access   (Followers: 1)
Open J. of Microphysics     Open Access  
Open J. of Modelling and Simulation     Open Access   (Followers: 2)
Open J. of Modern Hydrology     Open Access   (Followers: 5)
Open J. of Modern Linguistics     Open Access   (Followers: 5)
Open J. of Modern Neurosurgery     Open Access   (Followers: 2)
Open J. of Molecular and Integrative Physiology     Open Access  
Open J. of Nephrology     Open Access   (Followers: 4)
Open J. of Nursing     Open Access   (Followers: 4)
Open J. of Obstetrics and Gynecology     Open Access   (Followers: 5)
Open J. of Ophthalmology     Open Access   (Followers: 3)
Open J. of Optimization     Open Access  
Open J. of Organ Transplant Surgery     Open Access   (Followers: 1)
Open J. of Organic Polymer Materials     Open Access   (Followers: 1)
Open J. of Orthopedics     Open Access   (Followers: 3)
Open J. of Pathology     Open Access   (Followers: 2)
Open J. of Pediatrics     Open Access   (Followers: 4)
Open J. of Philosophy     Open Access   (Followers: 11)
Open J. of Physical Chemistry     Open Access  
Open J. of Political Science     Open Access   (Followers: 5)
Open J. of Polymer Chemistry     Open Access   (Followers: 13)
Open J. of Preventive Medicine     Open Access  

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World Journal of Nuclear Science and Technology
Number of Followers: 4  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2161-6795 - ISSN (Online) 2161-6809
Published by Scientific Research Publishing Homepage  [230 journals]
  • Development of a Hybrid Algorithm for efficient Task Scheduling in Cloud
           Computing environment using Artificial Intelligence

    • Authors: Mohammed Yousuf Uddin, Hikmat Awad Abdeljaber, Tariq Ahamed Ahanger
      Abstract: Cloud computing is developing as a platform for next generation systems where users can pay as they use facilities of cloud computing like any other utilities. Cloud environment involves a set of virtual machines, which share the same computation facility and storage. Due to rapid rise in demand for cloud computing services several algorithms are being developed and experimented by the researchers in order to enhance the task scheduling process of the machines thereby offering optimal solution to the users by which the users can process the maximum number of tasks through minimal utilization of the resources. Task scheduling denotes a set of policies to regulate the task processed by a system. Virtual machine scheduling is essential for effective operations in distributed environment. The aim of this paper is to achieve efficient task scheduling of virtual machines, this study proposes a hybrid algorithm through integrating two prominent heuristic algorithms namely the BAT Algorithm and the Ant Colony Optimization (ACO) algorithm in order to optimize the virtual machine scheduling process. The performance evaluation of the three algorithms (BAT, ACO and Hybrid) reveal that the hybrid algorithm performs better when compared with that of the other two algorithms.
      PubDate: 2021-10-04
      Issue No: Vol. 16, No. 5 (2021)
       
  • HABCSm: A Hamming Based t-way Strategy based on Hybrid Artificial Bee
           Colony for Variable Strength Test Sets Generation

    • Authors: Ammar Kareem Alazzawi, Helmi Md Rais, Shuib Basri, Yazan A. Alsariera, Luiz Fernando Capretz, Abdullahi Abubakar Imam, Abdullateef Oluwagbemiga Balogun
      Abstract: Search-based software engineering that involves the deployment of meta-heuristics in applicable software processes has been gaining wide attention. Recently, researchers have been advocating the adoption of meta-heuristic algorithms for t-way testing strategies (where t points the interaction strength among parameters). Although helpful, no single meta-heuristic based t-way strategy can claim dominance over its counterparts. For this reason, the hybridization of meta-heuristic algorithms can help to ascertain the search capabilities of each by compensating for the limitations of one algorithm with the strength of others. Consequently, a new meta-heuristic based t-way strategy called Hybrid Artificial Bee Colony (HABCSm) strategy, based on merging the advantages of the Artificial Bee Colony (ABC) algorithm with the advantages of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. HABCSm is the first t-way strategy to adopt Hybrid Artificial Bee Colony (HABC) algorithm with Hamming distance as its core method for generating a final test set and the first to adopt the Hamming distance as the final selection criterion for enhancing the exploration of new solutions. The experimental results demonstrate that HABCSm provides superior competitive performance over its counterparts. Therefore, this finding contributes to the field of software testing by minimizing the number of test cases required for test execution.
      PubDate: 2021-10-04
      Issue No: Vol. 16, No. 5 (2021)
       
  • iEEG based Epileptic Seizure Detection using Reconstruction Independent
           Component Analysis and Long Short Term Memory Network

    • Authors: Praveena Hirald Dwaraka, Subhas C., Rama Naidu K.
      Abstract: In recent decades, an epileptic seizure is a neurological disorder, which is commonly detected from intracranial Electroencephalogram (iEEG) signals. However, the visual interpretation and inspection of iEEG signal is subjective variability, a time-consuming mechanism, slow and vulnerable to errors. In this research article, an automated epileptic seizure detection model is proposed to highlight the above-mentioned concerns. The proposed automated model integrates the Reconstruction Independent Component Analysis (RICA) and Long Short Term Memory (LSTM) for seizure detection. In the proposed model, RICA is utilized to extract the features from the normalized iEEG signals, and then the obtained feature vectors are fed to the LSTM network for classification, which effectively classifies inter-ictal and ictal iEEG signals. This experimental outcome showed that the proposed RICA-LSTM model achieved an accuracy of 98.92%, sensitivity of 99.01%, specificity of 98.68%, balanced accuracy of 99.24%, and f-score of 98.25% in epileptic seizure recognition on the SWEC-ETHZ iEEG database, which is better compared to the conventional machine learning classifiers.
      PubDate: 2021-09-22
      Issue No: Vol. 16, No. 5 (2021)
       
  • Deep Learning and Uniform LBP Histograms for Position Recognition of
           Elderly People with Privacy Preservation

    • Authors: Monia Hamdi, Heni Bouhamed, Abeer AlGarni, Hela Elmannai, Souham Meshoul
      Abstract: For the elderly population, falls are a vital health problem especially in the current context of home care for COVID-19 patients. Given the saturation of health structures, patients are quarantined, in order to prevent the spread of the disease. Therefore, it is highly desirable to have a dedicated monitoring system to adequately improve their independent living and significantly reduce assistance costs. A fall event is considered as a specific and brutal change of pose. Thus, human poses should be first identified in order to detect abnormal events. Prompted by the great results achieved by the deep neural networks, we proposed a new architecture for image classification based on local binary pattern (LBP) histograms for feature extraction. These features were then saved, instead of saving the whole image in the series of identified poses. We aimed to preserve privacy, which is highly recommended in health informatics. The novelty of this study lies in the recognition of individuals’ positions in video images avoiding the convolution neural networks (CNNs) exorbitant computational cost and Minimizing the number of necessary inputs when learning a recognition model. The obtained numerical results of our approach application are very promising compared to the results of using other complex architectures like the deep CNNs.
      PubDate: 2021-09-16
      Issue No: Vol. 16, No. 5 (2021)
       
  • Development and Analysis of Low-Cost IoT Sensors for Urban Environmental
           Monitoring

    • Authors: Ionut Muntean, George Dan Mois, Silviu Corneliu Folea
      Abstract: The accelerated pace of urbanization is having a major impact over the world’s environment. Although urban dwellers have higher living standards and can access better public services as compared to their rural counterparts, they are usually exposed to poor environmental conditions such as air pollution and noise. In order for municipalities and citizens to mitigate the negative effects of pollution, the monitoring of certain parameters, such as air quality and ambient sound levels, both in indoor and outdoor locations, has to be performed. The current paper presents a complete solution that allows the monitoring of ambient parameters such as Volatile Organic Compounds, temperature, relative humidity, pressure, and sound intensity levels both in indoor and outdoor spaces. The presented solution comprises of low-cost, easy to deploy, wireless sensors and a cloud application for their management and for storing and visualizing the recorded data.
      PubDate: 2021-09-16
      Issue No: Vol. 16, No. 5 (2021)
       
  • Multi Objective PSO with Passive Congregation for Load Balancing Problem

    • Authors: Mohammad Marufuzzaman, Muneed Anjum Timu, Jubayer Sarkar, Aminul Islam, Labonnah Farzana Rahman, Lariyah Mohd Sidek
      Abstract: High-level architecture (HLA) and Distributed Interactive Simulation (DIS) are commonly used for the distributed system. However, HLA suffers from a resource allocation problem and to solve this issue, optimization of load balancing is required. Efficient load balancing can minimize the simulation time of HLA and this optimization can be done using the multi-objective evolutionary algorithms (MOEA). Multi-Objective Particle Swarm Optimization (MOPSO) based on crowding distance (CD) is a popular MOEA method used to balance HLA load. In this research, the efficiency of MOPSO-CD is further improved by introducing the passive congregation (PC) method. Several simulation tests are done on this improved MOPSO-CD-PC method and the results showed that in terms of Coverage, Spacing, Non-dominated solutions and Inverted generational distance metrics, the MOPSO-CD-PC performed better than the previous MOPSO-CD algorithm. Hence, it can be a useful tool to optimize the load balancing problem in HLA.
      PubDate: 2021-09-14
      Issue No: Vol. 16, No. 5 (2021)
       
  • Video Streaming Service Identification on Software-Defined Networking

    • Authors: Luis Miguel Castañeda Herrera, Wilmar Yesid Campo-Muñoz, Alejandra Duque Torres
      Abstract: It is well known that video streaming is the major network traffic today. Futhermore, the traffic generated by video streaming is expected to increase exponentially. On the other hand, SoftwareDefined Networking (SDN) has been considered a viable solution to cope with the complexity and increasing network traffic due to its centralised control and programmability features. These features, however, do not guarantee that network performance will not suffer as traffic grows. As result, understanding video traffic and optimising video traffic can aid in control various aspects of network performance, such as bandwidth utilisation, dynamic routing, and Quality of Service (QoS). This paper presents an approach to identify video streaming traffic in SDN and investigates the feasibility of using Knowledge-Defined Networking (KDN) in traffic classification. KDN is a networking paradigm that takes advantage of Artificial Intelligence (AI) by using Machine Learning approaches, which allows integrating behavioural models to detect patterns, like video streaming traffic identification, in SDN traffic. In our initial proof-of-concept, we derive the relevant information of network traffic in the form of flows statistics. Then, we used such information to train six ML models that can classify network traffic into three types, Video on Demand (VoD), Livestream, and no-video traffic. Our proof-of-concept demonstrates that our approach is applicable and that we can identify and classify video streaming traffic with 97.5% accuracy using the Decision Tree model.
      PubDate: 2021-09-03
      Issue No: Vol. 16, No. 5 (2021)
       
  • Verification of University Student and Graduate Data using Blockchain
           Technology

    • Authors: Yassynzhan Shakan, Bolatzhan Kumalakov, Galimkair Mutanov, Zhanl Mamykova, Yerlan Kistaubayev
      Abstract: Blockchain is a reliable and innovative technology that harnesses education and training through digital technologies. Nonetheless, it has been still an issue keeping track of student/graduate academic achievement and blockchain access rights management. Detailed information about academic performance within a certain period (semester) is not present in the official education documents. Furthermore, academic achievement documents issued by institutions are not secured against unauthorized changes due to the involvement of intermediaries. Therefore, verification of official educational documents has become a pressing issue owing to the recent development of digital technologies. However, effective tools to accelerate the verification are rare as the process takes time. This study provides a prototype of the UniverCert platform based on a consortium version of the decentralized, open-source Ethereum blockchain technology. The proposed platform is based on a globally distributed peer-to-peer network that allows educational institutions to partner with the blockchain network, track student data, verify academic performance, and share documents with other stakeholders. The UniverCert platform was developed on a consortium blockchain architecture to address the problems universities face in storing and securing student data. The system provides a solution to facilitate students’ registration, verification, and authenticity of educational documents.
      PubDate: 2021-09-03
      Issue No: Vol. 16, No. 5 (2021)
       
  • An Interactive Automation for Human Biliary Tree Diagnosis Using Computer
           Vision

    • Authors: Mohammad AL-Oudat, Saleh Alomari, Hazem Qattous, Mohammad Azzeh, Tariq AL-Munaizel
      Abstract: The biliary tree is a network of tubes that connects the liver to the gallbladder, an organ right beneath it. The bile duct is the major tube in the biliary tree. The dilatation of a bile duct is a key indicator for more major problems in the human body, such as stones and tumors, which are frequently caused by the pancreas or the papilla of vater. The detection of bile duct dilatation can be challenging for beginner or untrained medical personnel in many circumstances. Even professionals are unable to detect bile duct dilatation with the naked eye. This research presents a unique vision-based model for biliary tree initial diagnosis. To segment the biliary tree from the Magnetic Resonance Image, the framework used different image processing approaches (MRI). After the image’s region of interest was segmented, numerous calculations were performed on it to extract 10 features, including major and minor axes, bile duct area, biliary tree area, compactness, and some textural features (contrast, mean, variance and correlation). This study used a database of images from King Hussein Medical Center in Amman, Jordan, which included 200 MRI images, 100 normal cases, and 100 patients with dilated bile ducts. After the characteristics are extracted, various classifiers are used to determine the patients’ condition in terms of their health (normal or dilated). The findings demonstrate that the extracted features perform well with all classifiers in terms of accuracy and area under the curve. This study is unique in that it uses an automated approach to segment the biliary tree from MRI images, as well as scientifically correlating retrieved features with biliary tree status that has never been done before in the literature.
      PubDate: 2021-09-03
      Issue No: Vol. 16, No. 5 (2021)
       
  • Role of Modern Technologies and Internet of things in the field of Solid
           Waste Management

    • Authors: S.Godwin Barnabas, K.Arun vasantha Geethan, S.Valai Ganesh, S. Rajakarunakaran, P.Sabarish Kumar
      Abstract: The process of handling solid waste becomes complex and tedious due to the urbanization and industrialization of the most developing and developed countries. These solid waste issues if it is not addressed properly it affects ecosystem and environment. There is a possibility of many health-oriented issues especially during the pandemic period covid-19. Most of the human beings are struggling with respiratory pulmonary diseases, asthma caused by these solid wastes. Most of the governments are also spending huge amount of money for labors, devices and some technologies to tackle these solid waste issues. There is also an opportunity for the government to generate revenue from these solid wastes by properly sorting these waste into recyclable, nonrecyclable and bio-degradable wastes. But when humans are involved in sorting these waste it will cause some diseases and hygienic problems. So,in order to address the above said issues in this work the role of modern technologies, algorithms and some Internet of things (IoT) methods are discussed. Implementing these technologies in the future will save huge amount of money spent by the government for the solid waste management activities.
      PubDate: 2021-09-03
      Issue No: Vol. 16, No. 5 (2021)
       
 
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