IEEE

Real-Time Fall Detection With Hybrid CNN-LSTM Using IWR6843AOP FMCW Radar

Abstract: Falls are a leading health risk for the elderly, highlighting the need for accurate and unobtrusive monitoring systems. Traditional camera-based approaches often raise privacy concerns, ...
IEEE

A Comparative Study for Yemeni Poets Detection Using TEXT-CNN and RNN-LSTM Text Classification

Abstract: The growing prevalence of internet usage has led to a substantial capacity in textual data. Text classification is an essential field in natural language processing (NLP). It differs in ...
IEEE

Spatio-Temporal Deep Neural Modelling for Climate Anomaly Detection using CNN-LSTM Networks

Abstract: When it comes to studying environmental problems, it is growing increasingly vital to discover climatic anomalies and measure temperature changes, particularly in areas like Ethiopia, where ...
IEEE

Smart Surveillance: Real-Time Shoplifting Detection Using Deep Learning and YOLOv8

Abstract: Shoplifting is a major concern for retailers, leading to substantial financial losses worldwide. Traditional surveillance methods rely on manual monitoring ...
IEEE

Robust Distant Small Object Detection Using Radar-Vision Fusion and Prior-Enhanced Query Generation in Autonomous Driving

Abstract: Detecting distant small objects under adverse visual conditions such as rain, fog, or low light remains a critical challenge in autonomous driving. To address this issue, we propose a novel ...
IEEE

A Multi-Scale Attention Transformer for Martian Dust Devil Detection in Remote Sensing Imagery

Abstract: Detecting Martian dust devils remains a challenging task due to the scarcity of high-quality annotated data, significant variations in scale, blurred boundaries, and complex surface textures ...