IEEE

Lung Disease Detection Using CNNs and Transfer Learning on Medical Imaging

Abstract: Lung disease are some of life's most prevalent lung illnesses, which significantly affect morbidity and mortality. The main reason to diagnose these diseases is to ensure early intervention ...
IEEE

A comparative analysis of Alzheimer’s Disease by Pre-Trained CNN Classifiers using Two Palnes of MRI Images

Abstract: Alzheimer’s Disease (AD) is a progressive neurological disorder that leads to significant deterioration in cognitive functions and memory. AD is accompanied by many symptoms like memory loss ...
IEEE

Low-Cost Sensing and Classification for Early Stress and Disease Detection in Avocado Plants

Abstract: With rising demands for efficient disease and salinity management in agriculture, early detection of plant stressors is crucial, particularly for high-value crops like avocados. This article ...
IEEE

Accurate and Fast Quantitative Detection of Rail Corrugation Driven by Deep Learning Algorithms Using Adaptive Targeted Loss and Directed Metric Functions

Abstract: Rail corrugation is a common rail surface defect in wheel–rail system and can significantly reduce the running quality of vehicles. Accurate and fast detection of corrugation is of great ...
IEEE

Enhancing Short-Term Load Forecasting in Virtual Power Plants via Sparrow Search Algorithm Optimized Long Short-Term Memory Network

Abstract: With the introduction of goals for carbon neutrality and peak carbon emissions, Virtual Power Plants(VPPS) are evolving towards intelligence, automation, scaling, and diversification of ...
IEEE

Hybrid CNN and Transformer-Based Sequential Learning Techniques for Plant Disease Classification

Abstract: Plant diseases have important consequences for livelihoods and economies, both on local and global scales, whereby the spread of plant pathogens can lead to high levels of damage to ...
IEEE

ADAM-1: An AI Reasoning and Bioinformatics Model for Alzheimer’s Disease Detection and Microbiome-Clinical Data Integration

Alzheimer’s Disease Analysis Model Generation 1 (ADAM-1) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome ...
IEEE

Early Detection and Analysis of Potato Leaf Diseases Using Deep Learning based CNN Models

Abstract: Potato diseases pose a significant threat to global agricultural productivity, leading to severe economic losses. Early and accurate disease detection is crucial for effective disease ...
IEEE

Optimized ResNet-50 Deep Learning Model for Highly Accurate Plant Disease Classification and Detection Efficiency

Abstract: This research aims to develop a resilient and expert deep learning system to identify and classify plant diseases using ResNet (Residual Neural Networks). Such innovations will help overcome ...
IEEE

Identification and Classification of Medicinal Plants Using Resnet V2 CNN Architecture

Abstract: Identifying medicinal plants is crucial in herbal medicine, pharmaceutical research, and plant taxonomy. Conventional manual classification techniques tend to be errorprone and ...
Phys.org

Fungal allies arm plant roots against disease by rewriting the rules of infection

Scientists have discovered that beneficial root-dwelling fungi boost plant resilience to disease by remodeling the plant cell membrane at pathogen infection sites—offering critical new insights into ...
CNN

Parkinson’s disease is on the rise. 5 expert tips to reduce your risk of developing it

EDITOR’S NOTE: The podcast Chasing Life With Dr. Sanjay Gupta explores the medical science behind some of life’s mysteries big and small. You can listen to episodes here. The “Shaking Palsy.” Those ...