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Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
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Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes
In forecasting research, the focus has largely been on decision support systems for enhancing performance, with fewer studies in learning support systems. As a remedy, Intelligent Tutoring Systems (ITSs) offer an innovative solution in that they provide ...
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Yussuf Ahmed, Muhammad Ajmal Azad and Taufiq Asyhari
In recent years, there has been a notable surge in both the complexity and volume of targeted cyber attacks, largely due to heightened vulnerabilities in widely adopted technologies. The Prediction and detection of early attacks are vital to mitigating p...
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Chaojiao Sun, Alistair J. Hobday, Scott A. Condie, Mark E. Baird, J. Paige Eveson, Jason R. Hartog, Anthony J. Richardson, Andrew D. L. Steven, Karen Wild-Allen, Russell C. Babcock, Dezhou Yang, Rencheng Yu and Mathieu Mongin
In times of rapid change and rising human pressures on marine systems, information about the future state of the ocean can provide decision-makers with time to avoid adverse impacts and maximise opportunities. An ecological forecast predicts changes in e...
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Saeede Anbaee Farimani, Majid Vafaei Jahan and Amin Milani Fard
News dissemination in social media causes fluctuations in financial markets. (Scope) Recent advanced methods in deep learning-based natural language processing have shown promising results in financial market analysis. However, understanding how to lever...
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Evi Bourma, Leonidas Perivoliotis, George Petihakis, Gerasimos Korres, Constantin Frangoulis, Dionysios Ballas, Vassilis Zervakis, Elina Tragou, Petros Katsafados, Christos Spyrou, Manos Dassenakis, Serafim Poulos, Persefoni Megalofonou, Sarantis Sofianos, Theodora Paramana, Georgios Katsaounis, Aikaterini Karditsa, Stelios Petrakis, Apostolia-Maria Mavropoulou, Vasiliki Paraskevopoulou, Niki Milatou, Paris Pagonis, Spyros Velanas, Manolis Ntoumas, Ioannis Mamoutos, Manos Pettas, Sylvia Christodoulaki, Dimitris Kassis, Maria Sotiropoulou, Aspasia Mavroudi, Antigoni Moira, Dimitra Denaxa, Gerasimi Anastasopoulou, Emmanuel Potiris, Vassilis Kolovogiannis, Agisilaos-Alexandros Dimitrakopoulos, Stamatios Petalas and Nikos Zissisadd Show full author list remove Hide full author list
Research infrastructures have been established throughout Europe in order to create robust organizations that will facilitate and enhance research and innovation processes and will advance society with innovative products and services. The Hellenic Integ...
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Fi-John Chang and Shenglian Guo
The impacts of climate change on water resources management as well as the increasing severe natural disasters over the last decades have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resources ma...
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Shannon Nudds, Youyu Lu, Simon Higginson, Susan P. Haigh, Jean-Philippe Paquin, Mitchell O?Flaherty-Sproul, Stephanne Taylor, Hauke Blanken, Guillaume Marcotte, Gregory C. Smith, Natacha B. Bernier, Phillip MacAulay, Yongsheng Wu, Li Zhai, Xianmin Hu, Jérôme Chanut, Michael Dunphy, Frédéric Dupont, David Greenberg, Fraser J. M. Davidson and Fred Pageadd Show full author list remove Hide full author list
The oceanography sub-initiative of Canada?s Oceans Protection Plan was tasked to develop high-resolution nearshore ocean models for enhanced marine safety and emergency response, fitting into the multi-scale, multi-level nested operational ocean forecast...
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Austin D. Lewis and Katrina M. Groth
Dynamic Bayesian networks (DBNs) represent complex time-dependent causal relationships through the use of conditional probabilities and directed acyclic graph models. DBNs enable the forward and backward inference of system states, diagnosing current sys...
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Abdelkader Dairi, Fouzi Harrou, Ying Sun and Sofiane Khadraoui
The accurate modeling and forecasting of the power output of photovoltaic (PV) systems are critical to efficiently managing their integration in smart grids, delivery, and storage. This paper intends to provide efficient short-term forecasting of solar p...
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