10 publication(s) trouvée(s)
Article scientifique
Enhanced image encryption via a newly modified hyperchaotic lorenz system and extended DNA computing
Abstract The growing threat of cyberattacks targeting digital images calls for robust, efficient encryption schemes to secure sensitive visual data. …
Article scientifique
Ultra-low communication overhead federated learning strategy for distributed wearable ECG networks
Abstract Federated learning (FL) over wearable electrocardiogram (ECG) networks enables privacy-preserving cardiac monitoring at scale, yet standard FL protocols are …
Article scientifique
HQDR and HQPS: A Holy Quran digital repository with advanced pattern search and AI-enhanced natural language interface
Abstract Existing digital Quran repositories support verse-level access, but few preserve the complete chapter-to-character decomposition and the full grapheme inventory …
Article scientifique
AI-driven agricultural productivity: detecting potato leaf diseases with multi-scale feature extraction
Abstract Diseases that affect plant leaves significantly reduce crop yields and quality, so it’s essential to detect them promptly and …
Article scientifique
Enhancing 5G-4G handover decisions with fuzzy inference systems
Abstract Handover mechanisms are important to ensure continuity of services in wireless networks. This study examines how Fuzzy Logic can …
Article scientifique
AI-assisted load balanced and dominating set–based framework for energy-efficient IoT-WSNs in sustainable smart city applications
Abstract IoT-based Heterogeneous Wireless Sensor Networks (HWSNs) are a vital enabling technology for Sustainable Smart Cities (SSCs), but their heterogeneous …
Article scientifique
Enhancing multi-robot map fusion in ROS 2 via dynamic trust factor weighting
Abstract Getting a team of autonomous robots to agree on a single, accurate map is harder in practice than single-robot …
Article scientifique
ADoptDeepN: A novel optimized deep learning model for early diagnosis of Alzheimer’s disease
Abstract Alzheimer's disease (AD) is a neurological condition that impairs memory, movement, and brain. Early detection using non-invasive techniques has …
Article scientifique
A comprehensive review on green AI methods, strategies & measurement frameworks
Abstract As Artificial Intelligence (AI) systems continue to scale in complexity and deployment, their environmental impact has become a critical …
Article scientifique
GDEGWO: Enhancing grey wolf optimization with gradient descent and dynamic balance factors for optimized exploration-exploitation in network intrusion detection
Abstract Network intrusion detection remains a critical cybersecurity challenge, as existing metaheuristic optimizers suffer from premature convergence due to poor …