IEEE

RadarAttn: Efficient Radar-Based Human Activity Recognition by Integrating Visual Attention and Self-Attention

Abstract: Radar-based human activity recognition (HAR) has emerged as a critical component in various applications, ranging from smart homes to healthcare monitoring. Radar has several advantages: a ...
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

Forensic Automatic Speaker Recognition: Coping with Impersonated Speech

Abstract: Forensic Automatic Speaker Recognition (FASR) systems are essential for authenticating individuals based on speech characteristics in forensic contexts. The efficacy of the system is ...
IEEE

Intelligent Recognition of Abnormal Operating Conditions in Cement Grate Cooler Based on CNN-LSTM

Abstract: The grate cooler plays a critical role in cement clinker cooling and waste heat recovery. However, under high-temperature dust environments and fluctuating loads, it is prone to abnormal ...
Microsoft

A CNN-Based Approach for Automatic License Plate Recognition in the Wild

In this paper, we address automatic license plate recognition (ALPR) in the wild. Such an ALPR system takes an arbitrary image as input and outputs the recognized license plate numbers. In the ...
IEEE

Multimodal Fusion of Speech and Action Recognition for IoT Device

Abstract: Developments in deep learning techniques have opened up novel possibilities in the multimodal data fusion field. However, there is a significant gap in the capability of deep learning ...
IEEE

Emotion Recognition from Speech Signals Using Hybrid CNN Model

Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
IEEE

Advanced YOLO v11-Integrated CNN Framework for Efficient and Accurate Animal Recognition

Abstract: Animal recognition is essential for applications like wildlife monitoring, biodiversity conservation, and security surveillance. Traditional methods have problems with accuracy, ...
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

IVEX-WA and IVEX-MetaStack Ensemble Models: A Transfer Learning Approach for Still-Image Human Action Recognition With XAI Visualization

Abstract: Human action recognition (HAR) using deep learning approaches has significantly improved our lives, including elderly care, child monitoring, and sports analytics, particularly where human ...
IEEE

Intelligent Fault Diagnosis of Motor Bearings Based on Dual-Branch Depthwise Separable CNN With Acoustic–Vibration Signal Fusion

Abstract: The intelligent diagnosis of motor bearings under complex working conditions presents significant challenges, including insufficient feature extraction, limited reliability of ...