IEEE

A Verilog based Approach for Object Detection using CNN

Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...

ISRO To Launch Anvesha On PSLV-C62: What Sets India’s New Earth-Observation Satellite Apart

Developed by the DRDO, Anvesha is a hyperspectral Earth-observation satellite designed to provide India with sharper ...
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
IEEE

Fine-Grained Image Classification via Lightweight Multi-Scale Feature Fusion and Guided Attention

Abstract: Fine-grained image classification remains a challenging task due to subtle inter-class differences and significant intra-class similarity. To address these challenges, we propose a novel ...
IEEE

AI-Powered Intelligent Crop Health Monitoring System using CNN-based Image Classification

Abstract: Plant and leaf diseases have a significant impact on agricultural production, leading to a decrease in crop yield and quality. Effective crop management demands early and precise detection ...
Frontiers

A privacy-preserving, on-board satellite image classification technique incorporating homomorphic encryption and transfer learning

Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and ...
IEEE

Design of an Explainable Deep Learning Framework for ECG-Based Arrhythmia Prediction

Abstract: Arrhythmia refers to abnormal deviations in the normal heart rhythm, possibly signifying severe cardiovascular conditions. The manual identification of arrhythmias by ECG analysis is ...
IEEE

Synergistic Deep Learning Pipeline for Dermatological Image Classification: Cascaded U-Net Denoising and Feature-Selective CNN with Fused Feature Extraction

Abstract: The utilization of skin disease images in diagnosis is increasingly necessitating high-quality visuals to ensure precise identification and treatment. Nevertheless, the presence of noise in ...