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

Ground HRRP Target Recognition under Low SNR Based on MSFF-CNN Model

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 ...
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 ...
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 ...
GitHub

sneha-dhage/Named-Entity-Recognition-using-Azure-OpenAI-Models-Loss-Run-Reports-Insurance

This project demonstrates an automated solution for extracting structured information from insurance loss run reports using Azure OpenAI Models. It focuses on Named Entity Recognition (NER) tasks to ...
IEEE

Comparative Analysis of YOLOv11n and Faster R-CNN for Dog Emotion Recognition

Abstract: This study focuses on the need for effective emotional recognition in dogs, addressing the growing importance of canine emotional health in pet care and service dog optimization. As the ...
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

Multi-Modal Spatiotemporal Behavior Recognition and Visualization in Classroom Environments

Abstract: The automatic analysis of student behavior in classroom environments poses substantial challenges in computer vision, encompassing fine-grained action recognition, long-term multi-object ...
IEEE

Tactile Recognition Using PVDF Sensor Arrays with Time-Series Image Encoding and CNN

Abstract: To enhance the recognition performance of flexible tactile sensing systems in human-computer interaction (HCI), this letter proposes a tactile signal recognition method for polyvinylidene ...