Comparative Analysis of Conventional Machine Learning and Deep Learning Techniques for Predicting Parkinson's Disease
M Sethi, V Baggan - Multimodal Data Fusion for Bioinformatics …, 2025 - Wiley Online Library
A neurological disorder which gets worse as time progresses is Parkinson's disease (PD).
Once dopaminergic generating neurons in certain regions of the cerebral cortex are …
Once dopaminergic generating neurons in certain regions of the cerebral cortex are …
Classification of Potholes using Convolutional Neural Network Model: A Transfer Learning Approach using Inception ResnetV2
Rough and damaged roads give poor ride quality which leads to poor transport experience,
high travel cost, physical loss to vehicles and passengers, and high vehicle maintenance …
high travel cost, physical loss to vehicles and passengers, and high vehicle maintenance …
Visualizing Alzheimer's Prediction: An Ensembled Deep Learning and Grad-CAM Approach
Alzheimer's Disease (AD) is a neurological disorder which is irreversible and progressive in
nature. Deep Learning (DL) architectures have enhanced ability to detect and classify AD …
nature. Deep Learning (DL) architectures have enhanced ability to detect and classify AD …
A Novel Method for the Precise Determination of Mango Ripeness Level: Multi-Layer Visual Feature Fusion
Recently., there has been a lot of interest in using image classification to determine if a
mango is ripe or unripe. One can get more accurate categorization results using effective …
mango is ripe or unripe. One can get more accurate categorization results using effective …
Machine Learning Models for Diagnosing Alzheimer's Disorders
Kamini, S Rani - Data Analysis for Neurodegenerative Disorders, 2023 - Springer
Alzheimer's disease is a neurodegenerative disorder which affects millions of people around
the world. Machine learning (ML) models have emerged as a promising tool in early …
the world. Machine learning (ML) models have emerged as a promising tool in early …