IEEE

An Efficient Approach to Fingerprint Recognition with Proposed CNN

Abstract: Fingerprint recognition technologies rely largely on minute details. As multiple previous research investigations have shown fingerprint scans high quality responses from automatic ...
IEEE

Facial Recognition for Locating Missing Child Using CNN Algorithm

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 ...
IEEE

Early Radar Work Mode Recognition Using Hybrid CNN-Transformer and Reinforcement Learning

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 ...
IEEE

An Improved Gesture Recognition Algorithm Based on the Integration of CNN and Transformer

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 ...
IEEE

An Interpretable Intelligent Bearing Fault Diagnosis Method Using Damage Dynamics Response

Abstract: Convolutional neural networks (CNNs) are widely applied in fault diagnosis due to their excellent ability to extract local features and process complex data. However, the decision-making and ...
IEEE

Optimized Multi-Radar Hand Gesture Recognition: Robust MIMO-CNN Framework with FPGA Deployment

Abstract: Hand gesture recognition (HGR) utilizing radar sensors frequently encounters obstacles such as interference, clutter, and the restricted amount of radar datasets, which hinder the ...
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

Integrated License Plate Recognition Using YOLO and CNN for Automated Vehicle Identification

Abstract: Automated License Plate Reader (LPR) technology finds significant use in traffic monitoring, vehicle identification, and security systems. In this paper, we propose a practical LPR system ...
IEEE

Emotion Recognition based on Multimodal Physiological Signals using a CNN-Transformer Model

Abstract: Emotion recognition technology has been receiving significant attention as a potential solution for addressing mental health issues in recent years. Transformer is a deep learning model ...
IEEE

CNN-Based Facial Emotion Recognition for Productivity Analysis in Autism Spectrum Disorder (ASD)

Abstract: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is defined by persistent social interaction and communication difficulties, along with limited interests, repetitive ...
GitHub

A2Mamba: Attention-augmented State Space Models for Visual Recognition

Transformers and Mamba, initially invented for natural language processing, have inspired backbone architectures for visual recognition. Recent studies integrated Local Attention Transformers with ...