Abstract: Radio Frequency Fingerprint Identification (RFFI) is a technology that utilizes unique hardware characteristics for identity authentication. This paper proposes a feature fusion-based RFFI ...
Abstract: Atrial fibrillation exhibits a high incidence rate and poses considerable risks within cardiovascular diseases, necessitating both early detection and continuous monitoring. However, because ...
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: Aiming at the problems that the license plate recognition system is susceptible to illumination change, viewing angle tilt and noise interference in complex environments, a collaborative ...
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: Fingerprint recognition technologies rely largely on minute details. As multiple previous research investigations have shown fingerprint scans high quality responses from automatic ...
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 ...
Abstract: In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the ...
Abstract: In low Signal-to-Noise Ratio (SNR) environments, radar target recognition using High-Resolution Range Profiles (HRRP) from airborne platforms faces significant challenges, particularly under ...