IEEE

Intelligent Cargo Recognition and Visualization Based on Improved YOLOv10

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 ...
IEEE

Enhanced Time-Series Activity Recognition with a Hybrid CNN-SVM Model: Insights from Wearable Sensor Analysis

Abstract: The fundamental requirement of time-series activity detection that uses wearable sensors spreads across healthcare monitoring alongside fitness tracking and smart environments applications.
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 ...
GitHub

SoundPlot: Birdsong Acoustic Analysis & Neural Synthesis Framework

An open-source framework for analyzing birdsong recordings through acoustic feature extraction, dimensionality reduction, and neural audio synthesis. Transform audio signals into interactive 3D ...
IEEE

DeepHybridNet: A Novel CNN-Transformer Architecture for Robust Object Recognition and Categorization

Abstract: Having profound implications for autonomous systems, intelligent surveillance, and human-computer interaction, object detection and classification of images are one of the principal ...
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

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 ...