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 ...
IEEE

Deep Learning-Powered Signature Authentication: The SigVerify CNN Model

Abstract: Verification of signatures is critical for authentication procedures in the legal, banking, and financial domains. A cutting-edge, AI-powered technology called SigVerify Project uses deep ...
IEEE

A Comprehensive Hybrid CNN-LSTM Deep Learning Model for Accurate Landslide Prediction

Abstract: A significant natural threat, landslides take lives and damage infrastructure. Economic setbacks often follow. The complex interplay of external factors-like terrain attributes and data on ...
IEEE

Deep Learning-Driven Diagnosis CNN-LSTM Models for Accurate Grading of Knee Osteoarthritis

Abstract: Musculoskeletal disorder knee osteoarthritis (OA) is very prevalent and impacts quality of life demanding accurate grading to inform treatment planning. This study presents a novel deep ...
IEEE

Seagrass Species Recognition using Generalized Transfer Learning Resnet CNN Synergized with Support Vector Machine

Abstract: Seagrasses are vital marine plants that provide essential habitats for aquatic species and play a critical role in maintaining healthy coastal ecosystems. However, manually identifying ...
KEYT

Ancient bone may be first physical evidence of Hannibal’s ‘war machine’ elephants in Western Europe

(CNN) — Archaeologists in Spain have uncovered an elephant bone from 2,200 years ago, and they believe it belonged to an animal that served as a “war machine” in an army sent to invade the Roman ...
IEEE

An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features

Abstract: Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches.