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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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Vittorio Maniezzo and Tingting Zhou
The performance of optimization algorithms, and consequently of AI/machine learning solutions, is strongly influenced by the setting of their hyperparameters. Over the last decades, a rich literature has developed proposing methods to automatically deter...
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Hengde Zhao, Yuxin Zhao and Xiong Deng
Since ocean mobile observation equipment and numerical models have achieved remarkable results, the combination of the two has become an influential topic. A numerical model provides auxiliary information for the arrangement of observation equipment. As ...
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Bin Wang, Hua Yang, Shujuan Zhang and Lili Li
Detection of skin defects in Cerasus humilis fruit is a critical process to guarantee its quality and price. This study presents a valid method for the detection of defective features in Cerasus humilis fruits based on hyperspectral imaging. A total of 4...
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Marek Kciuk, Zygmunt Kowalik, Grazia Lo Sciuto, Sebastian Slawski and Stefano Mastrostefano
The promising research on flexible and tactile sensors requires conducting polymer materials and an accurate system for the transduction of pressure into electrical signals. In this paper, the intelligent sensitive mat, based on Velostat, which is a poly...
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