IEEE

Real-Time Detection of Fileless Malware Using Hybrid Deep Learning with CNN and Autoencoder Anomaly Detection

Abstract: Fileless malware represents a rising and complex challenge in cybersecurity, primarily due to its capability to avoid conventional detection strategies by operating entirely within a ...

TikTok users “absolutely justified” in fearing MAGA makeover, experts say

A TikTok USDS spokesperson told Ars that US owners have not yet made any changes to the algorithm or content moderation ...
AZoBuild

Structural Cracks Don’t Stand a Chance Against This Dual-Module AI

The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...
IEEE

Deep Reinforcement Learning-Based Anti-Jamming Rate Adaptation and Frequency Selection Algorithm for UAV Ad Hoc Networks

Abstract: In unmanned aerial vehicle (UAV) ad hoc networks, dynamic wireless channel fluctuations and malicious electromagnetic jamming may severely compromise link reliability, causing rate ...
EDN

CES 2026: AI, automotive, and robotics dominate

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...
IEEE

Siamese CNN-based Few-shot Learning for PCB Defect Detection*

Abstract: Defect detection in mass production lines is often challenged by small and imbalanced datasets, making few-shot learning approaches particularly suitable. Traditional deep learning methods ...
IEEE

Parallel CNN Deep Learning Model for Security Monitoring and Fault Prediction in Electrical Systems

Abstract: Electrical systems keep things running in modern life, but they often run into problems like imbalances, short circuits, ground faults, and overloading, which can cause equipment to break ...
Frontiers

Infectious disease prediction model based on optimized deep learning algorithm

Since 2019, the world has experienced a major outbreak of infectious disease caused by a novel coronavirus, first identified in Wuhan, Hubei Province, China. Through extensive scientific research and ...
IEEE

Privacy-Preserving Federated Learning for Threat Detection Using CNN and Transformer with Homomorphic Encryption

Abstract: Identifying and filtering cybersecurity threats are necessary for data privacy and security. This research proposes a Federated Learning (FL) framework integrated with a Hybrid Deep Learning ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
IEEE

A CNN and Deep Learning-based Smart Satellite Surveillance System for Wildfire Detection and Wildlife Damage Assessment

Abstract: Wildfires are a growing concern due to their catastrophic impacts on the environment, ecosystem services, biodiversity, and human settlements. Different fire detection systems face ...