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Thibaut Théate and Damien Ernst
Classical reinforcement learning (RL) techniques are generally concerned with the design of decision-making policies driven by the maximisation of the expected outcome. Nevertheless, this approach does not take into consideration the potential risk assoc...
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Szabolcs Deák, Paul Levine, Joseph Pearlman and Bo Yang
We construct a New Keynesian (NK) behavioural macroeconomic model with bounded-rationality (BR) and heterogeneous agents. We solve and simulate the model using a third-order approximation for a given policy and evaluate its properties using this solution...
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Guangfeng Jin, Tianzhen Wang, Yassine Amirat, Zhibin Zhou and Tao Xie
Grid-connected inverters are the core equipment for connecting marine energy power generation systems to the public electric utility. The variation of current sensor fault severity will make fault samples multimodal. However, linear discriminant analysis...
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Benyamine Abbou, Orna Tal, Gil Frenkel, Robyn Rubin and Nadav Rappoport
Background: Operating rooms are the core of hospitals. They are a primary source of revenue and are often seen as one of the bottlenecks in the medical system. Many efforts are made to increase throughput, reduce costs, and maximize incomes, as well as o...
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Sophie Curtis-Ham, Wim Bernasco, Oleg N. Medvedev and Devon L. L. Polaschek
It is well established that offenders? routine activity locations (nodes) shape their crime locations, but research examining the geography of offenders? routine activity spaces has to date largely been limited to a few core nodes such as homes and prior...
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Abhishek V. Potnis, Surya S. Durbha and Rajat C. Shinde
Earth Observation data possess tremendous potential in understanding the dynamics of our planet. We propose the Semantics-driven Remote Sensing Scene Understanding (Sem-RSSU) framework for rendering comprehensive grounded spatio-contextual scene descript...
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Edina Chandiwana, Caston Sigauke and Alphonce Bere
Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector...
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William Hurst, Casimiro A. Curbelo Montañez and Nathan Shone
Smart meters have become a core part of the Internet of Things, and its sensory network is increasing globally. For example, in the UK there are over 15 million smart meters operating across homes and businesses. One of the main advantages of the smart m...
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Sharanabasaweshwara A. Asundi and Syed Firasat Ali
A parametric study of a novel turbofan engine with an auxiliary high-pressure bypass (AHPB) is presented. The underlying motivation for the study was to introduce and explore a configuration of a turbofan engine which could facilitate clean secondary bur...
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Jun-Feng Qu, Mengchi Liu, Chunsheng Xin and Zhongbo Wu
High utility itemsets (HUIs) are sets of items with high utility, like profit, in a database. Efficient mining of high utility itemsets is an important problem in the data mining area. Many mining algorithms adopt a two-phase framework. They first genera...
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