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An efficient deep learning mechanisms for IoT/Non-IoT devices classification and attack detection in SDN-enabled smart environment
In recent years, the development of Internet of Things (IoT) applications has increased,
resulting in higher demands for sufficient bandwidth, data rates, latency, and quality of …
resulting in higher demands for sufficient bandwidth, data rates, latency, and quality of …
[HTML][HTML] A Mini Review of the Impacts of Machine Learning on Mobility Electrifications
Electromobility contributes to decreasing environmental pollution and fossil fuel
dependence, as well as increasing the integration of renewable energy resources. The …
dependence, as well as increasing the integration of renewable energy resources. The …
[HTML][HTML] A deep learning approach for securing IoT infrastructure with emphasis on smart vertical networks
As a result of the Internet of Things (IoT), smart city infrastructure has been able to advance,
enhancing efficiency and enabling remote management. Despite this, this interconnectivity …
enhancing efficiency and enabling remote management. Despite this, this interconnectivity …
Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
Resource allocation in tactical ad-hoc networks presents unique challenges due to their
dynamic and multi-hop nature. Accurate prediction of future network connectivity is essential …
dynamic and multi-hop nature. Accurate prediction of future network connectivity is essential …
[HTML][HTML] Enhancing Communication Networks in the New Era with Artificial Intelligence: Techniques, Applications, and Future Directions
M El-Hajj - Network, 2025 - mdpi.com
Artificial intelligence (AI) transforms communication networks by enabling more efficient data
management, enhanced security, and optimized performance across diverse environments …
management, enhanced security, and optimized performance across diverse environments …
Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning
This study introduces a novel ensemble learning technique namely Multi-Armed Bandit
Ensemble (MAB-Ensemble), designed for lane detection in road images intended for …
Ensemble (MAB-Ensemble), designed for lane detection in road images intended for …
Dynamic Traffic Optimization in Smart Cities (DTOS): Integrating OpenStreetMap, IoT, and Fog Computing
This paper presents an innovative approach to urban traffic management by integrating
OpenStreetMap (OSM) with Dijkstra's algorithm, augmented with the Internet of Things (IoT) …
OpenStreetMap (OSM) with Dijkstra's algorithm, augmented with the Internet of Things (IoT) …
Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection
The exponential growth of the Internet of Things (IoT) has boosted connectivity across
various sectors, such as Industry 4.0 and smart cities. However, this expansion has also …
various sectors, such as Industry 4.0 and smart cities. However, this expansion has also …
[HTML][HTML] Acoustic Sensors data transmission integrity and endurance with IoT-enabled location-aware framework
Environmental monitoring and disaster mitigation are critical applications of underwater
acoustic sensor networks (UASNs). However, UASNs face significant challenges, including …
acoustic sensor networks (UASNs). However, UASNs face significant challenges, including …
[HTML][HTML] Optimizing marine vehicles industry: a hybrid analytical hierarchy process and additive ratio assessment approach for evaluating and selecting IoT-based …
Rapid developments in the Internet of Things (IoT) have opened the door for game-changing
applications in numerous sectors, especially the vehicle industry. There is a rising demand …
applications in numerous sectors, especially the vehicle industry. There is a rising demand …