IEEE

UOT-FRCNN: Underwater Object Tracking Using Faster R-CNN with ResNet-50 FPN on the UOT32 Dataset

Abstract: UOT-FRCNN, an underwater object tracking system trained on the UOT32 dataset, is presented in this article. It is built on Faster R-CNN with ResNet-50 FPN. With minimal classification and ...
IEEE

A Semantic-Guided Framework for Few-Shot Remote Sensing Object Detection

Abstract: Few-shot object detection (FSOD) aims to recognize novel class targets using limited annotated data. Conventional approaches rely on extensive base class training, followed by fine-tuning ...
IEEE

Crispvision: Apple Leaf Disease Detection Using Machine Learning and Deeper CNN

Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
IEEE

Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection

Abstract: A common neurological condition that causes cognitive decline, particularly in older people, is Alzheimer's disease (AD). In order to improve patient treatment and minimize the progression ...
IEEE

Multi-Head Attention Mechanism in CNN-LSTM for Real Time ECG Arrhythmia Detection

Abstract: Heart arrhythmia detection is critical for diagnosing and managing cardiovascular diseases. Traditional methods for real-time ECG signal analysis, such as featurebased approaches and ...
IEEE

Commercial Plant Leaf Disease Detection in the Coastal and Malnad Regions of Karnataka using CNN, DenseNet121, and InceptionV3

Abstract: Leaf diseases pose a major threat to the productivity and quality of commercial crops in the coastal and Malnad regions, renowned for their diverse and high-value agricultural practices. In ...
IEEE

A Thermal Imaging System with Object Detection Based on High-Precision Temperature Calibration via Thermal Camera Structural Design

Abstract: This study presents an infrared thermal imaging measurement system equipped with object detection and automatic temperature calibration capabilities. The system is built on a FLIR Lepton 3.5 ...
IEEE

Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...
IEEE

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation

Abstract: Accurate multi-view 3D object detection is essential for applications such as autonomous driving. Researchers have consistently aimed to leverage LiDAR’s precise spatial information to ...
IEEE

Salient Object Detection of Dynamic Night Scenes via Bio-Inspired Spotlight Attention and Hierarchical Edge-Texture Fusion

Abstract: The perception of night scenes is of crucial importance for driving safety. In the dimly lit night environment, as the visibility of objects decreases, both experienced and inexperienced ...
IEEE

Operator Chain Detection in Image Forensics Using a Two-Stream CNN

Abstract: The advent of image-manipulation techniques and manipulation operator chains has raised the problem of identifying edited photos to prominence in information forensics. Existing forensic ...
IEEE

CNN vs. Transformer-Based Models for Deepfake Detection: A Comparative Analysis

Abstract: As deepfake technology has rapidly progressed, it has become a concern for media authenticity, cybersecurity, and digital forensics. In this work, we compare and contrast CNNs and ...