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  Subjects -> PSYCHOLOGY (Total: 1066 journals)
Showing 1 - 174 of 174 Journals sorted alphabetically
Academic Psychiatry and Psychology Journal : APPJ     Open Access   (Followers: 25)
Acción Psicológica     Open Access   (Followers: 5)
Acta Colombiana de Psicología     Open Access   (Followers: 9)
Acta Comportamentalia     Open Access   (Followers: 4)
Acta de Investigación Psicológica     Open Access   (Followers: 2)
Acta Psychologica     Hybrid Journal   (Followers: 29)
Activités     Open Access   (Followers: 1)
Actualidades en Psicologia     Open Access   (Followers: 2)
Adaptive Human Behavior and Physiology     Hybrid Journal   (Followers: 4)
Addictive Behaviors Reports     Open Access   (Followers: 12)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 30)
ADHD Report The     Full-text available via subscription   (Followers: 12)
Adolescent Research Review     Hybrid Journal   (Followers: 6)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 58)
Advances in Mental Health     Hybrid Journal   (Followers: 100)
Advances in Methods and Practices in Psychological Science     Full-text available via subscription   (Followers: 20)
Advances in Neurodevelopmental Disorders     Hybrid Journal   (Followers: 4)
Advances in Physiotherapy     Hybrid Journal   (Followers: 79)
Advances in Psychology     Full-text available via subscription   (Followers: 79)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 40)
Affective Science     Hybrid Journal   (Followers: 3)
African Journal of Cross-Cultural Psychology and Sport Facilitation     Full-text available via subscription   (Followers: 6)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 498)
Aggressive Behavior     Hybrid Journal   (Followers: 23)
Aging Psychology     Open Access   (Followers: 14)
Aging, Neuropsychology, and Cognition     Hybrid Journal   (Followers: 53)
Ágora - studies in psychoanalytic theory     Open Access   (Followers: 5)
Ajayu Órgano de Difusión Científica del Departamento de Psicología UCBSP     Open Access  
Aletheia     Open Access   (Followers: 2)
American Behavioral Scientist     Hybrid Journal   (Followers: 26)
American Imago     Full-text available via subscription   (Followers: 3)
American Journal of Applied Psychology     Open Access   (Followers: 60)
American Journal of Community Psychology     Hybrid Journal   (Followers: 35)
American Journal of Health Behavior     Full-text available via subscription   (Followers: 26)
American Journal of Orthopsychiatry     Hybrid Journal   (Followers: 9)
American Journal of Psychoanalysis     Hybrid Journal   (Followers: 27)
American Journal of Psychology     Full-text available via subscription   (Followers: 51)
American Psychologist     Full-text available via subscription   (Followers: 308)
An-Nafs : Jurnal Fakultas Psikologi     Open Access  
Anales de Psicología / Annals of Psychology     Open Access   (Followers: 2)
Análise Psicológica     Open Access   (Followers: 1)
Análisis y Modificación de Conducta     Open Access   (Followers: 2)
Analitika : Jurnal Magister Psikologi Uma     Open Access  
Analogías del Comportamiento     Open Access   (Followers: 1)
Analysis     Full-text available via subscription   (Followers: 4)
Annual Review of Clinical Psychology     Full-text available via subscription   (Followers: 99)
Annual Review of Organizational Psychology and Organizational Behavior     Full-text available via subscription   (Followers: 49)
Annual Review of Psychology     Full-text available via subscription   (Followers: 364)
Anuario de investigaciones (Facultad de Psicología. Universidad de Buenos Aires)     Open Access   (Followers: 2)
Anuario de Investigaciones de la Facultad de Psicología     Open Access  
Anuario de Psicología / The UB Journal of Psychology     Open Access   (Followers: 1)
Anuario de Psicología Jurídica     Open Access   (Followers: 1)
Anuario Pilquen : Sección Divulgación Científica     Open Access  
Anxiety, Stress & Coping: An International Journal     Hybrid Journal   (Followers: 28)
Applied and Preventive Psychology     Hybrid Journal   (Followers: 19)
Applied Cognitive Psychology     Hybrid Journal   (Followers: 82)
Applied Neuropsychology : Adult     Hybrid Journal   (Followers: 52)
Applied Neuropsychology : Child     Hybrid Journal   (Followers: 31)
Applied Psycholinguistics     Hybrid Journal   (Followers: 29)
Applied Psychological Measurement     Hybrid Journal   (Followers: 21)
Applied Psychology     Hybrid Journal   (Followers: 264)
Applied Psychology: Health and Well-Being     Hybrid Journal   (Followers: 65)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8)
Aprender     Open Access  
Archives of Clinical Neuropsychology     Hybrid Journal   (Followers: 36)
Archives of Depression and Anxiety     Open Access   (Followers: 2)
Archives of Scientific Psychology     Open Access   (Followers: 6)
Archives of Suicide Research     Hybrid Journal   (Followers: 11)
Arquivos Brasileiros de Psicologia     Open Access   (Followers: 1)
Art Therapy Online     Open Access   (Followers: 5)
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 11)
Asia-Pacific Psychiatry     Hybrid Journal   (Followers: 5)
Asian American Journal of Psychology     Full-text available via subscription   (Followers: 8)
Asian Journal of Behavioural Studies     Open Access   (Followers: 2)
Asian Journal of Business Ethics     Hybrid Journal   (Followers: 13)
Assessment     Hybrid Journal   (Followers: 19)
Attention, Perception & Psychophysics     Full-text available via subscription   (Followers: 17)
Augmented Human Research     Hybrid Journal   (Followers: 1)
Australasian Journal of Organisational Psychology     Hybrid Journal   (Followers: 10)
Australian and Aotearoa New Zealand Psychodrama Association Journal     Full-text available via subscription   (Followers: 2)
Australian Journal of Psychology     Hybrid Journal   (Followers: 26)
Australian Journal of Rehabilitation Counseling     Full-text available via subscription   (Followers: 6)
Australian Psychologist     Hybrid Journal   (Followers: 15)
Autism Research     Hybrid Journal   (Followers: 61)
Autism Research and Treatment     Open Access   (Followers: 37)
Autism's Own     Open Access   (Followers: 10)
Autism-Open Access     Open Access   (Followers: 10)
Avaliação Psicológica     Open Access  
Avances en Psicologia Latinoamericana     Open Access   (Followers: 1)
Aviation Psychology and Applied Human Factors     Hybrid Journal   (Followers: 26)
Balint Journal     Hybrid Journal   (Followers: 3)
Barbaroi     Open Access  
Basic and Applied Social Psychology     Hybrid Journal   (Followers: 46)
Behavior Analysis in Practice     Full-text available via subscription   (Followers: 16)
Behavior Analysis: Research and Practice     Full-text available via subscription   (Followers: 9)
Behavior Analyst     Hybrid Journal   (Followers: 7)
Behavior and Social Issues     Full-text available via subscription   (Followers: 2)
Behavior Modification     Hybrid Journal   (Followers: 14)
Behavior Research Methods     Hybrid Journal   (Followers: 27)
Behavior Therapy     Hybrid Journal   (Followers: 57)
Behavioral Development Bulletin     Full-text available via subscription  
Behavioral Disorders     Hybrid Journal   (Followers: 1)
Behavioral Interventions     Hybrid Journal   (Followers: 18)
Behavioral Neuroscience     Full-text available via subscription   (Followers: 68)
Behavioral Sciences & the Law     Hybrid Journal   (Followers: 30)
Behavioral Sleep Medicine     Hybrid Journal   (Followers: 16)
Behaviormetrika     Hybrid Journal  
Behaviour Change     Full-text available via subscription   (Followers: 13)
Behaviour Research and Therapy     Hybrid Journal   (Followers: 23)
Behavioural and Cognitive Psychotherapy     Hybrid Journal   (Followers: 238)
Behavioural Processes     Hybrid Journal   (Followers: 9)
Behavioural Public Policy     Hybrid Journal   (Followers: 10)
Behavioural Sciences Undergraduate Journal     Open Access   (Followers: 6)
Beyond Behavior     Hybrid Journal   (Followers: 1)
Biofeedback     Hybrid Journal   (Followers: 4)
BioPsychoSocial Medicine     Open Access   (Followers: 9)
BMC Psychology     Open Access   (Followers: 22)
Body, Movement and Dance in Psychotherapy: An International Journal for Theory, Research and Practice     Hybrid Journal   (Followers: 15)
Boletim Academia Paulista de Psicologia     Open Access  
Boletim de Psicologia     Open Access  
Brain Informatics     Open Access   (Followers: 1)
Brain Science Advances     Open Access  
British Journal of Clinical Psychology     Full-text available via subscription   (Followers: 237)
British Journal of Developmental Psychology     Hybrid Journal   (Followers: 41)
British Journal of Educational Psychology     Hybrid Journal   (Followers: 45)
British Journal of Health Psychology     Hybrid Journal   (Followers: 53)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 20)
British Journal of Psychology     Full-text available via subscription   (Followers: 77)
British Journal of Psychotherapy     Hybrid Journal   (Followers: 73)
British Journal of Social Psychology     Full-text available via subscription   (Followers: 48)
Buletin Psikologi     Open Access  
Burnout Research     Open Access   (Followers: 11)
Cadernos de psicanálise (Rio de Janeiro)     Open Access   (Followers: 1)
Cadernos de Psicologia Social do Trabalho     Open Access   (Followers: 1)
Cahiers d’Études sur la Représentation     Open Access  
Canadian Art Therapy Association     Hybrid Journal   (Followers: 1)
Canadian Journal of Art Therapy : Research, Practice, and Issues     Hybrid Journal   (Followers: 1)
Canadian Journal of Behavioural Science     Full-text available via subscription   (Followers: 7)
Canadian Journal of Experimental Psychology     Full-text available via subscription   (Followers: 19)
Canadian Psychology / Psychologie canadienne     Full-text available via subscription   (Followers: 14)
Case Studies in Sport and Exercise Psychology     Hybrid Journal   (Followers: 6)
Castalia : Revista de Psicología de la Academia     Open Access  
CASUS : Revista de Investigación y Casos en Salud     Open Access   (Followers: 1)
Cendekia : Jurnal Kependidikan dan Kemasyarakatan     Open Access  
CES Psicología     Open Access  
Child Development Perspectives     Hybrid Journal   (Followers: 41)
Child Development Research     Open Access   (Followers: 26)
Ciencia Cognitiva     Open Access   (Followers: 3)
Ciencia e Interculturalidad     Open Access   (Followers: 2)
Ciências & Cognição     Open Access   (Followers: 1)
Ciencias Psicológicas     Open Access  
Clínica y Salud     Open Access  
Clinical Medicine Insights : Psychiatry     Open Access   (Followers: 10)
Clinical Practice & Epidemiology in Mental Health     Open Access   (Followers: 2)
Clinical Practice in Pediatric Psychology     Full-text available via subscription   (Followers: 14)
Clinical Psychological Science     Hybrid Journal   (Followers: 16)
Clinical Psychologist     Hybrid Journal   (Followers: 21)
Clinical Psychology & Psychotherapy     Hybrid Journal   (Followers: 92)
Clinical Psychology and Special Education     Open Access   (Followers: 8)
Clinical Psychology Review     Hybrid Journal   (Followers: 59)
Clinical Psychology: Science and Practice     Hybrid Journal   (Followers: 29)
Clinical Schizophrenia & Related Psychoses     Full-text available via subscription   (Followers: 12)
Clocks & Sleep     Open Access   (Followers: 2)
Coaching : Theorie & Praxis     Open Access   (Followers: 3)
Coaching Psykologi : The Danish Journal of Coaching Psychology     Open Access   (Followers: 2)
Cogent Psychology     Open Access  
Cógito     Open Access  
Cognition & Emotion     Hybrid Journal   (Followers: 49)
Cognitive Behaviour Therapist     Hybrid Journal   (Followers: 15)
Cognitive Behaviour Therapy     Hybrid Journal   (Followers: 22)
Cognitive Neuropsychology     Hybrid Journal   (Followers: 43)
Cognitive Psychology     Hybrid Journal   (Followers: 88)
Cognitive Research : Principles and Implications     Open Access   (Followers: 5)
Community Psychology in Global Perspective     Open Access   (Followers: 1)
Comprehensive Psychoneuroendocrinology     Open Access  
Comprehensive Results in Social Psychology     Hybrid Journal   (Followers: 1)
Consciousness and Cognition     Hybrid Journal   (Followers: 41)
Construção Psicopedagógica     Open Access  
Consulting Psychology Journal : Practice and Research     Full-text available via subscription   (Followers: 4)
Consumer Psychology Review     Hybrid Journal   (Followers: 2)
Contagion : Journal of Violence, Mimesis, and Culture     Full-text available via subscription   (Followers: 7)
Contemporary Educational Psychology     Hybrid Journal   (Followers: 34)
Contemporary Psychoanalysis     Hybrid Journal   (Followers: 2)
Contemporary School Psychology     Hybrid Journal   (Followers: 7)
Contextos Clínicos     Open Access  
Counseling et spiritualité / Counselling and Spirituality     Full-text available via subscription   (Followers: 2)
Counseling Outcome Research and Evaluation     Hybrid Journal   (Followers: 13)
Counseling Psychologist     Hybrid Journal   (Followers: 17)
Counseling Psychology and Psychotherapy     Open Access   (Followers: 19)
Counselling and Psychotherapy Research : Linking research with practice     Hybrid Journal   (Followers: 29)
Counselling and Values     Hybrid Journal   (Followers: 7)
Counselling Psychology Quarterly     Hybrid Journal   (Followers: 17)
Couple and Family Psychology : Research and Practice     Full-text available via subscription   (Followers: 9)
Creativity Research Journal     Hybrid Journal   (Followers: 30)
Creativity. Theories ? Research ? Applications     Open Access   (Followers: 9)
Crime Psychology Review     Hybrid Journal   (Followers: 1)
Criminal Justice Ethics     Hybrid Journal   (Followers: 13)
Cuadernos de Marte     Open Access  
Cuadernos de Neuropsicología     Open Access   (Followers: 2)
Cuadernos de Psicologia del Deporte     Open Access  

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Similar Journals
Journal Cover
Augmented Human Research
Number of Followers: 1  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2365-4317 - ISSN (Online) 2365-4325
Published by Springer-Verlag Homepage  [2658 journals]
  • A New Hybrid Optimization Technique for Scheduling of Periodic and
           Non-periodic Tasks

    • Free pre-print version: Loading...

      Abstract: This article addresses a renowned issue of allocating periodic tasks to a network of heterogeneous processors in distributed computing systems (DCS) subject to timing constraints, tasks precedence, and arbitrary communication among them, in order to lessen the overall busy time whereas guaranteeing the tasks deadlines. A new hybrid optimization (NHO) technique is introduced, a fusion of k-mean clustering (KMC) and Branch-and-Bound (B&B) method for reducing overall normalized busy time (NSBT) of the system. This technique is stationed on B&B method in which each branch grants scheduling solution. K-mean clustering (KMC) technique has been utilized to reduce the complexity of B&B technique by pruning the branches those do not lead feasible solution. A specialized case of non-periodic tasks allocation issue is also studied in this work. The problem is intractable in nature. Finally, a demonstrative example and comparison with some computational experiences are presented. Experimental results reveal that proposed technique achieves better proficiency than other existing techniques in literature. This model is advisable for arbitrary number of processors and tasks.
      PubDate: 2021-07-16
       
  • Impact of SARS-CoV-2 in Online Education, Predicting and Contrasting
           Mental Stress of Young Students: A Machine Learning Approach

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      Abstract: The nation has already had to contend with such a major public health issue when this COVID-19 disease was propagated in March 2020. The corona's propagation does have an effect on all areas of people's lives. The hostile effect on education systems throughout all locations is indeed a diverse expansion impact. A complete shutdown keeps adding fresh problems for students to learn and also for educators to effectively manage the class, likely to result in the conversion of such an offline education system into a virtual class. This study investigated and described various online learning platforms, as well as teaching resource distribution technology and modern technologies used to ensure that students can study. Overall, this relates to channels that can be used to create a confidential environment in order to prevent copying in online tests. This also outlines so many difficulties in managing online teaching methods, like learners' perceptions of e-learning being more traumatic and having a negative impact on general wellbeing and social relationships. So, a technique has been proposed to provide learners with a superior online classroom teaching experience, allowing the online classroom to be as good as, if not better than, a single online classroom. This study focused on daily teaching methods that employ online learning supported by a machine teaching approach to provide an individual with a relevant stress-free solution.
      PubDate: 2021-06-08
       
  • Developing Professional Capacity of Preschool Teachers in Mountainous
           Areas to Meet the Requirements of Augmented Education Innovation 4.0

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      Abstract: The professional capacity of preschool teachers is a decisive factor for the quality of child care and early education for children. However, many preschool teachers teaching in disadvantaged areas have not yet responded to the increasing demands of society and educational innovation. Therefore, developing educators’ competencies in disadvantaged areas is an important task in education renovation. This article investigates the status of the professional competencies of preschool teachers in disadvantaged and mountainous areas to find out the advantages and disadvantages in implementing educational innovation. The main method is the quantitative research method entailing observation, questionnaire investigation and in-depth interviews with 250 early childhood educators and 30 administrators. Research results have revealed that the professional capacity of teachers in mountainous areas has many limitations, especially the ability to apply information technology and develop their own professional skills. Besides, research also pointed out a number of factors affecting the professional capacity development of preschool teachers. This research result is the foundation for improving professional competencies for preschool teachers in educational innovation.
      PubDate: 2021-06-04
       
  • Application of EEG Time-Varying Networks in the Evaluation of Dynamic
           Functional Brain Networks

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      Abstract: The variability that occurs in spontaneous network communication has brought about increased attention in the area of study that is centered on analytical approaches and models aimed at addressing the shorter timescales conceivable with dynamic functional networks. As the shifts in functional connectivity have been immense in the quantification of task performance in the cognitive domain so has the usefulness in the clinical setting been predicted. More so, the analysis of dynamic functional connections can be of considerable clinical relevance as had been observed in the studies of pathologies such as schizophrenia, Alzheimer's disease mild cognitive impairment. The evaluation of dynamic functional connectivity is however far from being perfect. Though functional magnetic resonance, imaging which has been vastly employed in evaluating neural communication in the human brain, does not appear to be efficient in measuring neuronal dynamics, and this could be down to the variability in sampling, physiological, noise, and head motion that usually accompany fMRI. This is where EEG, despite its limited spatial resolution, has found significance owing to the delivery of temporal resolution which is higher in measuring the time-varying relationships feasible in the rhythmic patterns of neural activity. In this paper, we shall aim at reviewing the strides that have been made in the efforts to develop an effective technique for quantifying the transitions in functional connectivity that take place over specific timescales.
      PubDate: 2021-04-12
       
  • Augmenting Team Games With a Ball to Promote Cooperative Play

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      Abstract: Team games with a ball provide a great workout and are social activities, making them a great way to spend free time. Unfortunately, it can be challenging to play when the participants' level is not more or less equal. We use digital augmentation technology to promote collaboration during the game and soften the focus that is usually put exclusively on the physical skill levels. Using computer game elements (attack points, defense points, life points) enables us to create a unique mixed reality playing experience that is approachable and enjoyable to various people who have different playing skills. Therefore, it works for promoting physical activity among such players. When designing a fast-paced game with a real ball, taking place in the physical world and the virtual world, special considerations on tracking the game progress, information display, and player experience have to be taken. We describe the development of the augmented dodgeball game, which includes the systems required to play the game and player status display systems. We also present a user study, which consists of questionnaires, interviews, and player-observations. We found that players had a positive experience playing the developed game; they liked the game concept and saw it as a fun activity to do with friends. The players were also communicating and collaborating more during the augmented game. This research contributes to providing design insights specific to designing for augmented reality team games with the ball.
      PubDate: 2021-04-07
       
  • Multilayer Neural Network Design for the Calculation of Risk Factor
           Associated with COVID-19

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      Abstract: Coronavirus disease 2019 (COVID-19) is a public health emergency and is of international concern. Till now, there is no effective pharmaceutical treatment available for this disease. This paper presents a multilayer neural network algorithm to calculate the risk factor of getting COVID-19 to the individual based on the symptoms described by World Health Organization. The aim of this study is to provide an approximate risk factor of getting COVID-19 to an individual that helps for further treatment.
      PubDate: 2021-03-09
       
  • Exploiting the Capabilities of Blockchain and Machine Learning in
           Education

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      Abstract: Today, technology has advanced tremendously that it is now being incorporated into the education sector for academic enhancement. Certain technologies like Artificial Intelligence, Machine Learning, Blockchain, Big data, Internet of Things, Augmented Reality, Cloud computing, etcetera changed the conventional education system making it a better platform for the growth of students. In this paper, we dissect the importance of two blooming technologies, Blockchain and Machine Learning, in the education field. Blockchain technology, having data immutability as one of its advantages, has been used in miscellaneous fields for security aspects. It can be used to securely store the degree or other achievement certificates. Such information would be added by the college or university to the blockchain, which can be accessed or shared by the student through the online CV with employers. This approach is secure as there is no need to worry about changes to the institution or the loss of data. Also, Machine learning with its fully capable learning algorithms is the breakthrough technology for future perspectives because it can accurately predict the future based on experience; hence, the incorporation of this technology in the educational field helps the student to make a strategy with the help of various algorithms. By doing such things, better outcomes should be made from present conditions. When the benefits of blockchain are combined with Machine Learning algorithms, we can get certain predictions beforehand and we can securely store the actual results, which is the proposed idea of this study. In this study, the emphasis is made on the impacts created by recent technologies in the educational field and review of various systems proposed by blockchain and machine learning technology and assumption is made for combining two technologies for the betterment of the educational field.
      PubDate: 2021-01-16
       
  • Deep Learning-Based Binary Classification of ADHD Using Resting State MR
           Images

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      Abstract: Attention-deficit/hyperactivity disorder (ADHD) is one of the most prevalent neuropsychiatric disorders in adolescence and adult, but the origin of this disorder is still under research. The focus of this paper is on classification of resting state functional magnetic resonance imaging (rs-fMRI) of ADHD and healthy controls using deep learning techniques. ADHD-200 dataset includes resting state rs-fMRI images of ADHD, and typically developing controls and deep learning-based techniques such as 2-dimensional convolutional neural network (CNN) algorithm and hybrid 2-dimensional convolutional neural network–long short-term memory (2D CNN–LSTM) were applied on this dataset for the classification of ADHD from typically developing controls. The proposed hybrid system evaluated on the basis of parameters, viz. accuracy, specificity, sensitivity, F1-score, and AUC. In comparison with existing methods, the proposed method achieved significant improvement in analyzing and detection of parameters. By incorporating techniques of deep learning with rs-fMRI, the results built up an adequate and intelligent model to comparatively diagnose ADHD from healthy controls.
      PubDate: 2021-01-12
       
  • The Effect of Movie Frame Rate on Viewer Preference: An Eye Tracking
           Study

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      Abstract: The film industry has begun to increase the frame rate of movies in order to enhance viewer's perception of visual smoothness. This decision is causing controversy, and it is exacerbated by the development of high frame rate technology for television. To address this issue, we investigated if higher (60 frames per second or fps) versus conventional lower frame rates (24 fps) influence viewing behaviour and preference. Observers (N = 30) were eye-tracked while they viewed pairs of identical movie clips that differed only in their frame rate. Results showed that individuals looked more frequently at the videos they preferred; however, many could not discriminate between the high and low rate clips. However, those individuals who could reliably discriminate between the two frames rates preferred the lower 24 fps clips. Our results provide empirical support to those who argue that the viewing quality of films at higher frame rates is compromised on 2D displays.
      PubDate: 2021-01-12
       
  • Development of Robot-Based Upper Limb Devices for Rehabilitation Purposes:
           a Systematic Review

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      Abstract: As the number of patients with impaired nerves is continuously increasing day by day around the globe, rehabilitation training by the physical therapist is more time-consuming and less effective. From last two decades, many robot-based upper limb rehabilitation devices have been developed for physical therapy of the human upper limb by employing state-of-the-art technologies. Hence, there is a need for a comprehensive systematic analysis to understand the basic principle and working of rehabilitation devices. The devices are primarily classified as exoskeleton- and end-effector-oriented robotic devices depending on the alignment of the upper limb joints. The objective of the review is to investigate the functionality developments of the robot-based upper limb rehabilitation devices. In this work, a systematic analysis is being carried out depending on the factors such as compatible designs, control aspects, training modes, actuation methods, and clinical developments of the devices. Furthermore, a tabular comparison is presented for the above factors considering different types of robotic devices and the status of the developments. Finally, the scope of improvement is discussed by minimizing the potential gaps between design and prototyping establishments. This review will help the therapists, researchers, and manufacturers to augment the safety and cost-effective concerns for patients with upper limb impairments.
      PubDate: 2021-01-12
       
  • Dual-Tree Sparse Decomposition of DWT Filters for ECG Signal Compression
           and HRV Analysis

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      Abstract: In this paper, a one-dimensional ECG signal is decomposed as symmetry tree structure at each level using discrete wavelet transforms which outcomes from a larger quantity of insignificant coefficients. They are measured as zero amplitude value and represented as sparse datasets that improve the compression rate, and Huffman coding helps to represent the signal with low bit rate data. These results compressed data codes of large ECG time-series datasets of the signal. Here, different wavelet filters are evaluated for compression based on sparse data from wavelet decomposition. The performance of an algorithm in terms of compression is 43.52% and 42.8% with a 99.9% correlation between original and recovered signals from compressed ECG data for the MIT-BIH arrhythmia and compression dataset, respectively. Further, heart rate variability (HRV) analysis with correlation of R-R intervals in between original and reconstructed ECG signals validates the reconstruction as well as sensitivity of compression technique toward data accuracy.
      PubDate: 2021-01-12
       
  • Research Trends on the Usage of Machine Learning and Artificial
           Intelligence in Advertising

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      Abstract: Advertising is a way in which a company introduces possible customers to a company’s product/service, the main objective is possibly to convince them to buy their product or use their service. The significance of Advertising is critical for the company, as this alone can make people aware of the company’s product and in doing so can generate a good possibility of it being sold to the customers. It is inevitable for companies to face changes and one such change is the evolution in the way of doing Advertisement. Advertisement is now done with the help of not so newfound helping hand that is Artificial Intelligence and Machine Learning. The answer to the question as to why the change in the process of Advertising is important lies in the before-after statistical observations of companies using this technology. The results themselves are reasonable motivating factors for companies who are yet to acknowledge the change. The serious challenge to this new version of Advertising is to make sure to not allow the usage of it to such a great extent where ordinary person is concerned about his/her privacy. Implementing Advertisements this way, we are quite sure that making laws, enforcing the laws or even having its own governing body can ensure righteous use of deploying this technology. The future of Advertising is going to be even better than before as Artificial Intelligence and Machine Learning will bring more control of Advertising to companies. Summing up, we feel confident that Advertising with Artificial Intelligence and Machine Learning are here for a noticeable and a significant change.
      PubDate: 2020-11-25
       
  • Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group
           Population in India

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      Abstract: The new pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated at Wuhan, Hubei province, China in December 2019, threatening the world and becomes the public health crisis throughout the globe. Due to changing data and behavior of the current epidemic, appropriate pharmacological techniques to cure are getting delayed day by day. The estimated trends of the global and Indian region for COVID-19 epidemic were predicted for the next 21 days till 05/05/2020 on the data recorded till 14/04/2020 in the present work. The main focus of the work was to estimate the trends of COVID-19 outbreak on population, especially the high-risk age group of elderly people (with age 50 years and greater) in the Republic of India. It was observed that this identified age-group could be more prone to SARS-CoV-2 virus infection and chances of death in this age group could be more. The high-risk Indian states/regions were also identified throughout the nation and trends for infection, death, and cured cases were predicted for the next 21 days. The outcome of the present work was presented in terms of suggestions that the proper social and medical care for the identified high-risk age group of elderly people of the Indian population should be required to prevent the COVID-19 community transmission. The work also supported the extension in countrywide proper lockdown, mass testing, and also the strict rules to follow social distancing.
      PubDate: 2020-07-01
       
  • A Comparative Study of ECG Beats Variability Classification Based on
           Different Machine Learning Algorithms

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      Abstract: The electrocardiogram (ECG) signal is a method that uses electrodes to record cardiac rates along with sensing minute electrical fluctuations for each cardiac rate. The information is utilized to analyze abrupt cardiac function like arrhythmias and conduction disturbance. The paper proposes strategy classifying ECG signal using various technique. The preprocessing stage includes filtering of input signal via low pass, high pass including Butterworth filter in order to remove clamour of high frequency. From signal, the excess clamour is sliced by Butterworth filter. The peak points are detected by peak detection algorithm, and the signal features are extracted using statistical parameters. At last, extracted feature classification is done via GWO-MSVM, SVM, Adaboost, ANN and Naive Bayes classifier to classify the ECG signal database into normal or abnormal ECG signal. The experimental result indicates the precision of the GWO-MSVM, SVM, Adaboost, ANN and Naive Bayes classifier is 99.9%, 94%, 93%,87.57% and 85.28%. When compared with other classifier, it was determined that precision of GWO-MSVM classifier is high.
      PubDate: 2020-04-20
       
  • Design of a BR-ABC Algorithm-Based Fuzzy Model for Glucose Detection

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      Abstract: This paper presents a modeling approach for defining a measured data set obtained from an optical sensing circuit based on the use of a fuzzy reasoning system. A simple but effective optical sensor is designed for in vitro determination of glucose concentrations in an aqueous solution. The measured data used in this study include analog voltages that reflect the absorbance values of three wavelengths measured in different concentrations of glucose from an RGB light-emitting diode (LED). The parameters of the fuzzy models are optimized using the bounded-range artificial bee colony (BR-ABC) algorithm to achieve the desired model performance. The results indicate that the optimized fuzzy model demonstrates high performance quality. The minimum mean square error (MSE) obtained from the singleton fuzzy model with the BR-ABC algorithm is 0.00014, which is better than the reported MSE value achieved with the Takagi–Sugeno fuzzy model.
      PubDate: 2020-04-20
       
  • A Comprehensive Analysis Regarding Several Breakthroughs Based on Computer
           Intelligence Targeting Various Syndromes

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      Abstract: Artificial intelligence (AI) is a broad field; this term signifies the application of a machine or computer to construct intelligent behaviour with insignificant human interruption or interference. AI is expressed as the combination of science and engineering for making intelligent computers. The term AI applies to a broad spectrum of matters in medicine and healthcare sectors like robotics, a medical diagnosis which concerns too many different types of diseases, human biology, and medical statistics. AI in medicine and health care is the main focus of this survey. Our goal is to highlight numerous algorithms based on the techniques which rely on artificially intelligent behaviour for detecting many diseases. We then review more precisely regarding AI applications in several categories of diseases such as hereditary diseases, physiological diseases, cancers, and infectious diseases. We have analysed the AI-based algorithms, and results for the same for the diseases included in the categories as mentioned above. Popular AI techniques include machine learning methods, along with the implementation of natural language processing. We have also discussed the impact of big data in the healthcare sector and how it has supported to improve the field of AI. An overview of various artificial intelligent methods is exhibited in this paper alongside the review of relevant important clinical applications.
      PubDate: 2020-03-30
       
  • Identification of Potential Task Shedding Events Using Brain Activity Data

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      Abstract: In Human–Machine Teaming environments, it is important to identify potential performance drops due to cognitive overload. If identified correctly, they can help improve the performance of the human–machine system by offloading some tasks to less cognitively overloaded users. This can help prevent user error that can result in critical failures. Also, it can improve productivity by keeping the human operators at an optimal performance state. This paper explores a new method for identifying user cognitive load by a three-class classification using brain activity data and by applying a convolutional neural network and long short-term memory model. The data collected from a set of cognitive benchmark experiments were used to train the model, which was then tested on two separate datasets consisting of more ecologically valid task environments. We experimented with various models built with different benchmark tasks to explore which benchmark tasks were better suited for the prediction of task shedding events in these compound tasks that are more representative of real-world scenarios. We also show that this method can be extended across-tasks and across-subject pools.
      PubDate: 2020-03-30
       
  • Optimization of Smart Traffic Governance System Using Artificial
           Intelligence

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      Abstract: Traffic system shows a great scope of trade with the environment and is directly connected to it. Manual traffic systems are proving to be insufficient due to rapid urbanization. Central monitoring systems are facing scalability issues as they process increasing amounts of data received from hundreds of traffic cameras. Major traffic problems include congestion, safety, pollution (leading to various health issues) and increased need for mobility. A solution to most of them is the construction of newer and safer highways and additional lanes on existing ones, but it proves to be expensive and often not feasible. Cities are limited by space, and construction cannot keep up with ever-growing demand. Hence, a need for an improved system with a minimal manual interface is persisting. One of such methods is introduced and discussed in this paper; smart traffic governance system here used artificial intelligence to regulate and govern the course of transport and automated administration and implementation to make a difference in face of travel scenarios in urban cities suffering from such major traffic issues.
      PubDate: 2020-03-29
       
  • A Comparative Analysis of Logistic Regression, Random Forest and KNN
           Models for the Text Classification

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      Abstract: In the current generation, a huge amount of textual documents are generated and there is an urgent need to organize them in a proper structure so that classification can be performed and categories can be properly defined. The key technology for gaining the insights into a text information and organizing that information is known as text classification. The classes are then classified by determining the text types of the content. Based on different machine learning algorithms used in the current paper, the system of text classification is divided into four sections namely text pre-treatment, text representation, implementation of the classifier and classification. In this paper, a BBC news text classification system is designed. In the classifier implementation section, the authors separately chose and compared logistic regression, random forest and K-nearest neighbour as our classification algorithms. Then, these classifiers were tested, analysed and compared with each other and finally got a conclusion. The experimental conclusion shows that BBC news text classification model gets satisfying results on the basis of algorithms tested on the data set. The authors decided to show the comparison based on five parameters namely precision, accuracy, F1-score, support and confusion matrix. The classifier which gets the highest among all these parameters is termed as the best machine learning algorithm for the BBC news data set.
      PubDate: 2020-03-05
       
  • Multi-label Movie Genre Detection from a Movie Poster Using Knowledge
           Transfer Learning

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      Abstract: The task of predicting a movie genre from its poster can be very challenging owing to the high variability of movie posters. A novel approach for the generation of a multi-label movie genre prediction from its poster using neural networks that employ knowledge transfer learning has been proposed in this paper. This approach works on two fronts; one is aimed at creating a large, diverse and balanced dataset for movie genre prediction. The second front involves reframing the problem to simpler single-label multi-class classification and generating a multi-label multi-class prediction on a given movie poster as input. The experimental evaluation suggests that our approach generates a remarkable accuracy which is a result of a larger, evenly distributed dataset, simplifying the problem to a single-label multi-class classification problem and because of the use of knowledge transfer learning to extract higher-level feature.
      PubDate: 2019-12-24
       
 
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