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Shatha Abbas, Mohammed J. F. Alenazi and Amani Samha
Artificial intelligence (AI) is a fundamental part of improving information technology systems. Essential AI techniques have revolutionized communication technology, such as mobility models and machine learning classification. Mobility models use a virtu...
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Wilson Tsakane Mongwe, Rendani Mbuvha and Tshilidzi Marwala
Markov chain Monte Carlo (MCMC) techniques are usually used to infer model parameters when closed-form inference is not feasible, with one of the simplest MCMC methods being the random walk Metropolis?Hastings (MH) algorithm. The MH algorithm suffers fro...
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Zhi Yung Tay, Januwar Hadi, Favian Chow, De Jin Loh and Dimitrios Konovessis
The global greenhouse gas emitted from shipping activities is one of the factors contributing to global warming; thus, there is an urgent need to mitigate the adverse effect of climate change. One of the key strategies is to build a vibrant maritime indu...
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Zhenbo Lu, Jingxin Xia, Man Wang, Qinghui Nie and Jishun Ou
Short-term traffic flow forecasting is crucial for proactive traffic management and control. One key issue associated with the task is how to properly define and capture the temporal patterns of traffic flow. A feasible solution is to design a multi-regi...
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Sima Rastayesh, Amol Mankar, John Dalsgaard Sørensen and Sajjad Bahrebar
This paper presents recent contributions to the Marie Sklodowska-Curie Innovative Training Network titled INFRASTAR (Innovation and Networking for Fatigue and Reliability Analysis of Structures-Training for Assessment of Risk) in the field of reliability...
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