[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …
Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research
The recent o-ran specifications promote the evolution of ranran architecture by function
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …
A federated learning framework based on incremental weighting and diversity selection for internet of vehicles
With the rapid increase of data, centralized machine learning can no longer meet the
application requirements of the Internet of Vehicles (IoV). On the one hand, both car owners …
application requirements of the Internet of Vehicles (IoV). On the one hand, both car owners …
FLCSDet: Federated Learning-Driven Cross-Spatial Vessel Detection for Maritime Surveillance With Privacy Preservation
Maritime surveillance plays a vital role in reducing maritime accidents and improving
maritime safety. To enhance situational awareness for maritime movements, deep learning …
maritime safety. To enhance situational awareness for maritime movements, deep learning …
Exploring Deep Federated Learning for the Internet of Things: A GDPR-Compliant Architecture
With the emergence of intelligent services and applications powered by artificial intelligence
(AI), the Internet of Things (IoT) affects many aspects of our daily lives. Traditional …
(AI), the Internet of Things (IoT) affects many aspects of our daily lives. Traditional …
Convergence of AI and MEC for autonomous IoT service provisioning and assurance in B5G
With the exponential growth of Internet of Things (IoT) devices, IoT has become a
transformative technology with applications spanning various domains. It encompasses a …
transformative technology with applications spanning various domains. It encompasses a …
Federated learning for zero-day attack detection in 5G and beyond V2X networks
Deploying Connected and Automated Vehicles (CAVs) on top of 5G and Beyond networks
(5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this …
(5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this …
A Survey of Deep/Machine Learning in Maritime Communications
S Sinha, SY Kwon, SH Park - 2023 Fourteenth International …, 2023 - ieeexplore.ieee.org
In recent years Machine learning has begun to show its potential in all domains of life,
including the field of maritime communications. Research on and attempts to use Machine …
including the field of maritime communications. Research on and attempts to use Machine …
Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
A Boualouache, B Brik, R Rahal… - arxiv preprint arxiv …, 2024 - arxiv.org
Deploying Connected and Automated Vehicles (CAVs) on top of 5G and Beyond networks
(5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this …
(5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this …
A Survey on Predictive Maintenance in the Maritime Industry Using Machine and Federated Learning
The maritime industry is responsible for the transportation of over 80% of worldwide
commodities. Currently, the industry heavily relies on traditional maintenance strategies …
commodities. Currently, the industry heavily relies on traditional maintenance strategies …