Abstract: This report presents a novel approach for identifying harmonic and non-harmonic disturbances in power quality monitoring systems using spectrogram analysis and a one-dimensional ...
Abstract: This study explores how combining the YOLOv10 artificial intelligence model with data visualization technology can improve the speed and accuracy of sorting and delivering packages in ...
Abstract: The fundamental requirement of time-series activity detection that uses wearable sensors spreads across healthcare monitoring alongside fitness tracking and smart environments applications.
Abstract: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is defined by persistent social interaction and communication difficulties, along with limited interests, repetitive ...
Abstract: In India, countless children are reported missing every year, with a significant percentage remaining untraced due to challenges in identification and limited resources. This project ...
In this paper, a novel approach is proposed for early recognition of Radar Work Mode, which integrates a hybrid CNN-Transformer architecture and a Reinforcement Learning strategy. The model processes ...