Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks. [PDF]
Isaac RA +3 more
europepmc +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Toward Energy-Efficient and Low-Carbon Intrusion Detection in Edge and Cloud Computing Based on GreenShield Cybersecurity Framework. [PDF]
Alshammari A.
europepmc +1 more source
Task‐Aligned Haze Removal With Semantic‐Aware Fusion and Contrast Self‐Correction
ABSTRACT Adverse haze conditions introduce complex degradations that obscure scene details and distort structural cues critical for object detection, posing persistent challenges for vision‐based sensing systems. Although existing haze removal methods have achieved notable improvements in visual clarity, their optimisation objectives are often ...
Jinbin Wang +5 more
wiley +1 more source
Real time smart parking system based on IoT and fog computing evaluated through a practical case study. [PDF]
Ala'anzy MA +3 more
europepmc +1 more source
TMSA‐Net: Transformer‐Based Multi‐Scale Attention U‐Net for Flood Image Segmentation
ABSTRACT Flood detection is essential for real‐time applications, including disaster management, emergency response, and alerting people in flood zones. For successful flood detection, accurate flood region segmentation is essential. However, the flood region segmentation is challenging due to the complex background and occlusions with debris and the ...
Parham Imanzadeh Charandabi +3 more
wiley +1 more source
A novel intrusion detection framework using hybrid deep learning to detect IIoT cloud environments attacks. [PDF]
Chen S, Feng X.
europepmc +1 more source
Deep blueprint: A literature review and guide to automated image classification for ecologists
A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game +2 more
wiley +1 more source
Modeling and simulation of VANET routing protocols under realistic mobility patterns. [PDF]
Sharma S, Kour S, Sarangal H.
europepmc +1 more source
Russia is consistently a top migration destination. While most migrate to Russia from other post‐Soviet countries, a small but highly visible group of the Russian‐speaking diaspora has returned from Europe and North America. Lauded in Russian media as ‘ideological migrants’, their narratives at first glance echo those of the state as they claim to flee
Lauren Woodard
wiley +1 more source

