IEEE

ST-Gesture: Spatio-Temporal Feature Extraction Network for Gesture Recognition Based on Attention Mechanism

Abstract: Gesture recognition, a crucial technology in human-computer interaction, finds applications across various domains, including smart homes, automotive driver assistance systems, and more.
IEEE

MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals

Abstract: Human emotion recognition is important as it finds applications in multiple domains such as medicine, entertainment, and military. However, accurately identifying emotions remains ...
IEEE

Channel–Spatial Aligned Global Knowledge Distillation for Underwater Acoustic Target Recognition

Abstract: Knowledge distillation (KD) is a predominant technique to streamline deep-learning-based recognition models for practical underwater deployments. However, existing KD methods for underwater ...
IEEE

A Lightweight Hybrid Transformer-CNN Architecture for Real-Time Railway Event Recognition with Fiber-Optic Distributed Acoustic Sensor

Abstract: Fiber-optic distributed acoustic sensor (DAS) offers great potential for railway event monitoring due to its high sensitivity and robustness in complex environments. However, accurate ...
IEEE

An Attention-Enhanced 3D-CNN Framework for Spectrogram-Based EEG Analysis in Epilepsy Detection

Abstract: Epilepsy is a widespread neurological disorder affecting approximately 50 million individuals globally, with a disproportionately high burden in low- and middle-income countries. It is ...
GitHub

AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Biomedical Audio Classification

Official TensorFlow/Keras implementation for the paper: "AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Phonocardiogram Classification" Summary: The automatic ...
IEEE

Anchor-Free Signal Detector Based on Center Frequency Axis Learning in Wideband Spectrogram

Abstract: Deep learning-based object detectors have become increasingly critical in spectrogram-based wideband multi-signal detection, recognition, and time-frequency localization. Current methods ...
IEEE

Human Action Recognition Based on Bimodal Data and Spationtemporal Features Using UWB MIMO Radar

Abstract: Human action recognition (HAR) methods based on ultra-wideband (UWB) multiple-input–multiple-output (MIMO) radar have demonstrated substantial potential in complex environments. However, the ...
IEEE

Mixed Intrusion Vibration Signal Recognition Based on Fiber Bragg Grating and RL-KAN-CNN

Abstract: Fiber Bragg Grating (FBG) sensing systems have demonstrated strong potential for distributed vibration monitoring, yet recognizing mixed intrusion events remains challenging due to the ...
IEEE

StealthPhase: Towards a Stealthy Backdoor Attack Against Speaker Recognition

Abstract: Speaker recognition systems (SRS) play a vital role in identity authentication. At the same time, researchers have found that these systems are highly vulnerable to backdoor attacks, where ...
IEEE

Robust CNN-based Musical Instrument Recognition with Enhanced Feature Learning

Abstract: Musical instrument recognition is a challenging task with applications in music information retrieval, audio processing, and automated transcription. This study presents a Convolutional ...