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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 ...
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. ...
Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-06)
This article offers a thorough analysis of the machine learning classifiers approaches for the collected Received Signal Strength Indicator (RSSI) samples which can be applied in predicting propagation loss, used for network ...
A Hybrid Approach for Android Malware Detection and Family Classification
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-06)
With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify. The increase ...
Binary Multi-Verse Optimization (BMVO) Approaches for Feature Selection
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Multi-Verse Optimization (MVO) is one of the newest meta-heuristic optimization algorithms which imitates the theory of Multi-Verse in Physics and resembles the interaction among the various universes. In problem domains ...
A Novel Fog Computing Approach for Minimization of Latency in Healthcare using Machine Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-09)
In the recent scenario, the most challenging requirements are to handle the massive generation of multimedia data from the Internet of Things (IoT) devices which becomes very difficult to handle only through the cloud. Fog ...
Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...
Intelligent Detection and Recovery from Cyberattacks for Small and Medium-Sized Enterprises
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-09)
Cyberattacks threaten continuously computer security in companies. These attacks evolve everyday, being more and more sophisticated and robust. In addition, they take advantage of security breaches in organizations and ...
Alzheimer Disease Detection Techniques and Methods: A Review
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-09)
Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...
Learning Models for Semantic Classification of Insufficient Plantar Pressure Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...