IEEE

Advancing Predictive Maintenance in Smart Grids with Machine Learning Techniques Through Comparative Analysis of SVM and CNN Models

Abstract: Applying ML techniques into smart grid architectures has transformed the predictive maintenance to a level that can predict equipment failures before they occur. This approach reduces the ...
IEEE

CNN and Transfer Learning-based Deep Learning Architectures for Alzheimer’s Disease Detection from MRI Scan: A Comparative Analysis

Abstract: Alzheimer’s disease, a neurodegenerative illness that gradually impairs cognitive function, affects a large number of people worldwide. It is crucial to enhance early detection methods so ...
IEEE

Crispvision: Apple Leaf Disease Detection Using Machine Learning and Deeper CNN

Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
IEEE

Detection of Powdery Mildew in Cherry Plant Leaves using Machine Learning and CNN

Abstract: Timed observation and accurate detection of plant diseases is vital for minimizing the damage to the crops and securing food for the long term, but particularly with cherry powdery mildew ...
IEEE

Brain MRI Analysis Using CNN-Based Feature Extraction and Machine Learning Techniques to Diagnose Alzheimer's Disease

Abstract: This research focuses on developing a complex framework for automatic diagnosis purposes of Alzheimer's disease from MRI brain data, with emphasis placed on advancement in accuracy towards ...