News-Medical.Net

Automated system improves deep learning accuracy in chest radiography analysis

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
IEEE

A Hybrid CNN-LSTM Deep Learning Model for Next-Generation OFDM Channel Estimation in Wireless Networks

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...
IEEE

Plant Leaf Disease Detection Using Machine Learning Models

Abstract: The manual identification of plant diseases through visual examination demands large amounts of labor while showing restricted accuracy and variable scope. The implementation of automatic ...
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

Latest Trends in Face Recognition using CNN

Abstract: Face Recognition is a computer vision technology that identifies or verifies a person’s identity using a person’s facial features. It is widely used in different fields like security, ...
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

Deep Learning-Based Detection of Cauliflower Diseases Using Fine-Tuned VGG19 Model

Abstract: Plant diseases are an area of interest in agriculture because early identification of them makes it easier to treat before they spread and affect yield. This work aims to propose a ...
IEEE

Medicine Recommendation System for Diseases Using Machine Learning

Abstract: This study develops an AI-driven medicine recommendation system using machine learning to assist healthcare professionals in selecting optimal medications based on indications and medical ...
IEEE

Language-Driven Motion Prior Knowledge Learning for Moving Infrared Small Target Detection

Abstract: Different from traditional object detection, pure vision is often not enough to infrared small target detection (ISTD), due to the small target size and weak background contrast. For ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
IEEE

Plant Leaf Disease Classification Using Enhanced Preprocessing and CNN Architectures

Abstract: Accurate and timely identification of plant disease is necessary to optimize crop production and facilitate sustainable farming practices. Human inspection methods tend to be slow, laborious ...