Intrusion detection in the iot under data and concept drifts: Online deep learning approach

OA Wahab - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Although the existing machine learning-based intrusion detection systems in the Internet of
Things (IoT) usually perform well in static environments, they struggle to preserve their …

Benchmark analysis for robustness of multi-scale urban road networks under global disruptions

WL Shang, Z Gao, N Daina, H Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
To date immunity to disruptions of multi-scale urban road networks (URNs) has not been
effectively quantified. This study uses robustness as a meaningful-if partial-representation of …

Efficient and trusted autonomous vehicle routing protocol for 6G networks with computational intelligence

K Haseeb, A Rehman, T Saba, SA Bahaj, H Wang… - ISA transactions, 2023 - Elsevier
Abstract The Internet of Things (IoT) and wireless sensors have collaborated with many real-
time environments for the collection and processing of physical data. Mobile networks with …

Trajectory optimization for drone logistics delivery via attention-based pointer network

F Kong, J Li, B Jiang, H Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Drone logistics delivery is a potential booster to redefine the logistics system efficiency,
which has been a new special hot research field. Among that, how to optimize drone …

Privacy-aware multiagent deep reinforcement learning for task offloading in vanet

D Wei, J Zhang, M Shojafar, S Kumari… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Offloading task to roadside units (RSUs) provides a promising solution for enhancing the
real-time data processing capacity and reducing energy consumption of vehicles in the …

Ir design for application-specific natural language: a case study on traffic data

W Hu, X Wang, D Wang, S Yao, Z Mao, L Li… - arXiv preprint arXiv …, 2023 - arxiv.org
In the realm of software applications in the transportation industry, Domain-Specific
Languages (DSLs) have enjoyed widespread adoption due to their ease of use and various …

AI/Machine learning for internet of dependable and controllable things

HH Song - Proceedings of the 2023 Workshop on Advanced …, 2023 - dl.acm.org
The Internet of Things (IoT) has the potential to enable a variety of applications and services.
However, it also presents grand challenges in security, safety, and privacy. Therefore, there …

Robustness and resilience of artificial intelligence-enabled electric vehicles: a safety and security perspective

T Garg, G Kaur, R Goyal - … -Empowered Modern Electric Vehicles in Smart …, 2024 - Elsevier
Rapid advances in artificial intelligence (AI) and electric vehicle (EV) technology have
resulted in the development of AI-enabled EVs (AI–EVs) that promise enhanced …

Artificial Intelligence and Automation in the Transport Industry: Envisioning the Future of Mobility

K Senthil, A Begum, G Ayyappan… - … and Industrial Internet …, 2024 - taylorfrancis.com
Over the past few decades, the transport industry has seen a number of transformations and
turning points. Self-driving cars, the monitoring of road conditions, traffic flow analysis, and …

A Survey of Machine Learning Algorithms and Techniques for Air Mobility Under Emergency Situations

Y Zhou, D Liu, H Song - … on Internet of Things (iThings) and …, 2022 - ieeexplore.ieee.org
Emergency situations in aviation pose serious risks to life and result in huge negative
impacts on air mobility, causing a significant economic and reputation loss to airlines and …