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Acoustic Classification of Mosquitoes using Convolutional Neural Networks Combined with Activity Circadian Rhythm Information
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Many researchers have used sound sensors to record audio data from insects, and used these data as inputs of machine learning algorithms to classify insect species. In image classification, the convolutional neural network ...
Design of a Virtual Assistant to Improve Interaction Between the Audience and the Presenter
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
This article presents a novel design of a Virtual Assistant as part of a human-machine interaction system to improve communication between the presenter and the audience that can be used in education or general presentations ...
LIPSNN: A Light Intrusion-Proving Siamese Neural Network Model for Facial Verification
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
Facial verification has experienced a breakthrough in recent years, not only due to the improvement in accuracy of the verification systems but also because of their increased use. One of the main reasons for this has been ...
Feasibility and Acceptability of a Mobile-Based Emotion Recognition Approach for Bipolar Disorder
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Over the past years, the mobile Health approach has motivated research projects to develop mood monitoring systems for bipolar disorder. Whereas mobile-based approaches have examined self-assessment or sensor data, so far, ...
Extensive Classification of Visual Art Paintings for Enhancing Education System using Hybrid SVM-ANN with Sparse Metric Learning based on Kernel Regression
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
In recent decades, the collection of visual art paintings is large, digitized, and available for public uses that are rapidly growing. The development of multi-media systems is needed due to the huge amount of digitized ...
Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
The analysis of the structure of musical pieces is a task that remains a challenge for Artificial Intelligence, especially in the field of Deep Learning. It requires prior identification of the structural boundaries of the ...
Optimized DWT Based Digital Image Watermarking and Extraction Using RNN-LSTM
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
The rapid growth of Internet and the fast emergence of multi-media applications over the past decades have led to new problems such as illegal copying, digital plagiarism, distribution and use of copyrighted digital data. ...
An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Software Maintainability is an indispensable factor to acclaim for the quality of particular software. It describes the ease to perform several maintenance activities to make a software adaptable to the modified environment. ...
Learning Analytics to Detect Evidence of Fraudulent Behaviour in Online Examinations
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Lecturers are often reluctant to set examinations online because of the potential problems of fraudulent behaviour from their students. This concern has increased during the coronavirus pandemic because courses that were ...
Social Relations and Methods in Recommender Systems: A Systematic Review
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
With the constant growth of information, data sparsity problems, and cold start have become a complex problem in obtaining accurate recommendations. Currently, authors consider the user's historical behavior and find ...