IEEE

Optimizing CNN for IoT Anomaly Detection in 6G using Ant Lion Optimizer and Slime Mould Algorithm

Abstract: The fast spread of the Internet of Things (IoT) and the approaching deployment of 6G networks have presented hitherto unheard-of possibilities and problems in network security. IoT devices ...
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 Complete Coverage Path Planning Algorithm for Mobile Robot Based on Improved Deep Reinforcement Learning

Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...
IEEE

Hybrid Deep Learning Algorithm for Real-Time Emotion Detection from Facial Expressions

Abstract: Effective and real-time facial expression detection is becoming increasingly crucial in affective computing, intelligent user interfaces, and mental health screening to comprehend human ...
IEEE

A photoplethysmogram-based 1D-CNN algorithm for automated atrial fibrillation detection

Abstract: Atrial fibrillation (AF) is an irregular heartbeat that originates in the upper chambers of the heart (atria). This paper presents a method for the detection of AF events from ...
Frontiers

Adaptive mapless mobile robot navigation using deep reinforcement learning based improved TD3 algorithm

1 Department of Information Technology, Central University of Kashmir, Ganderbal, Jammu and Kashmir, India 2 Department of Computer Science and Engineering, National Institute of Technology, Srinagar, ...
Frontiers

Proximal hyperspectral detection of rice and weed: characterization and discriminant analysis

Introduction: Weeds represent a critical component of agricultural biodiversity and contribute to a range of ecosystem services, yet they remain a major constraint on global crop production. Remote ...