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A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-01)
Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large ...
The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-07)
Detecting Alzheimer’s disease (AD) in its early stages is essential for effective management, and screening for Mild Cognitive Impairment (MCI) is common practice. Among many deep learning techniques applied to assess brain ...
Improving Retrieval Performance of Case Based Reasoning Systems by Fuzzy Clustering
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-07)
Case-based reasoning (CBR), which is a classical reasoning methodology, has been put to use. Its application has allowed significant progress in resolving problems related to the diagnosis, therapy, and prediction of ...
ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ...
IoT Detection System for Mildew Disease in Roses Using Neural Networks and Image Analysis
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-12)
Artificial intelligence presents different approaches, one of these is the use of neural network algorithms, a particular context is the farming sector and these algorithms support the detection of diseases in flowers, ...
An Empirical Evaluation of Machine Learning Techniques for Crop Prediction
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-12)
Agriculture is the primary source driving the economic growth of every country worldwide. Crop prediction, which is critical to agriculture, depends on the soil and environment. Nutrient levels differ from area to area and ...