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Deep Belief Network and Auto-Encoder for Face Classification
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-06)
The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ...
EEG Signal Analysis of Writing and Typing between Adults with Dyslexia and Normal Controls
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-06)
EEG is one of the most useful techniques used to represent behaviours of the brain and helps explore valuable insights through the measurement of brain electrical activity. Hence, plays a vital role in detecting neurological ...
Model for Prediction of Progression in Multiple Sclerosis
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-09)
Multiple sclerosis is an idiopathic inflammatory disease of the central nervous system and the second most common cause of disability in young adults. Choosing an effective treatment is crucial to preventing disability. ...
An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-09)
This paper provides an integrated framework based on statistical tests, time series neural network and improved multi-layer perceptron neural network (MLP) with novel meta-heuristic algorithms in order to obtain best ...
MSA for Optimal Reconfiguration and Capacitor Allocation in Radial/Ring Distribution Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-06)
This work presents a hybrid heuristic search algorithm called Moth Swarm Algorithm (MSA) in the context of power loss minimization of radial distribution networks (RDN) through optimal allocation and rating of shunt ...
A User-centered Smartphone Application for Wireless EEG and its Role in Epilepsy
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-09)
Electroencephalography is well-known for its importance in the diagnosis and treatment of mental and neurological disorders and abnormalities, being especially noted in critically ill patients who suffer a variety of ...
Influence of Lymphocyte T CD4 Levels on the Neuropsychological Performance of Population Affected by HIV and with a Previous History of Substance Use
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
The immunological markers help to know if there is a good recovery of the immunological system in patients infected with HIV. Among them, the lymphocyte T CD4 rate is the main indicator of the patient’s immunological state ...
A Revision of Preventive Web-based Psychotherapies in Subjects at Risk of Mental Disorders
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
For the last years, the impulse of new technologies has overcome the traditional pathways of face-to-face clinical intervention and web-based psychological methodologies for intervention have started to gain success. This ...
A Repository of Semantic Open EHR Archetypes
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015-03)
This paper describes a repository of openEHR archetypes that have been translated to OWL. In the work presented here, five different CKMs (Clinical Knowledge Managers) have been downloaded and the archetypes have been ...
Design and Validation of a Framework for the Creation of User Experience Questionnaires
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-12)
Existing user experience questionnaires have a fixed number of scales. Each of these scales measures a distinct aspect of user experience. These questionnaires can be used with little effort and provide a number of useful ...