IEEE

Shadow-Aware Moving Target Detection in ViSAR: A Multiscale CNN–Transformer Hybrid Detection Framework

Abstract: Based on the all-weather imaging capability of synthetic aperture radar (SAR), video synthetic aperture radar (ViSAR) enables dynamic ground target monitoring through high-frame-rate ...
IEEE

Hybrid 1D and 2D CNN-Transformer Architectures for Multilabel 12-Lead EKG Anomaly Detection

Abstract: This study introduces two novel hybrid machine-learning architectures for multilabel anomaly detection in electrocardiograms (EKGs): a 1D modified ResNet combined with a transformer encoder ...
IEEE

Enhanced Grounding DINO: Efficient Cross-Modality Block for Open-Set Object Detection in Remote Sensing

Abstract: Open-set object detection unifies candidate category object detection and remote sensing visual grounding, and can simultaneously meet candidate category multiobject detection and ...
IEEE

Integrating Local and Global Features via CNN and Mamba for Semi-Supervised Change Detection

Abstract: Semi-supervised change detection (SSCD) has become increasingly important in remote sensing image (RSI) analysis due to the scarcity of labeled data. While state-of-the-art SSCD methods have ...
IEEE

Hospital Bed Vacancy Detection using Depthwise Separable CNN

Abstract: The rising demand for real-time hospital bed man-agement in healthcare institutions requires creative solutions to improve patient care and resource ...
IEEE

A Novel Dense-Swish-CNN With Bi-LSTM Framework for Image Deepfake Detection

Abstract: Artificial intelligence (AI) developments have revolutionized technologies and methodologies, particularly for malicious uses, especially since the advent of generative adversarial networks ...
IEEE

Improving Faster R-CNN for Vehicle Detection under Varying Conditions with Domain Adaptation Technique

Abstract: In recent years, the rapid progress in autonomous driving technology has transformed the automotive industry, positioning vehicle detection as a vital component to guarantee secure and ...
IEEE

CNN-Based Robust Harmonic Feature Extraction for Open-Circuit Fault Detection and Localization in Modular Multilevel Converters

Abstract: This letter presents a novel convolutional neural network (CNN)-based methodology for robust and accurate open-circuit fault detection and submodule (SM) localization in modular multilevel ...
CNN

Justice Department urges Supreme Court to block immigration judges’ free speech lawsuit

The Trump administration on Friday urged the Supreme Court to step into a yearslong legal battle over a policy that bars immigration judges from expressing their personal views in public, a case that ...
IEEE

Enhancing Medicare Fraud Detection With a CNN-Transformer-XGBoost Framework and Explainable AI

Abstract: Healthcare fraud is a critical challenge, contributing significantly to rising healthcare costs and financial losses. This article proposes a hybrid architecture for healthcare fraud ...
IEEE

An Advanced CNN–LSTM–Attention Framework for the Detection of GNSS Spoofing Interference

Abstract: Our study addresses the shortcomings of existing methods by designing a software-based spoofing-signal identification system for civilian GNSS receivers, enabling intelligent detection of ...