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Satoshi Warita and Katsuhide Fujita
Recently, multi-agent systems have become widespread as essential technologies for various practical problems. An essential problem in multi-agent systems is collaborative automating picking and delivery operations in warehouses. The warehouse commission...
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Giuseppe Vizzari and Thomas Cecconello
Pedestrian simulation is a consolidated but still lively area of research. State of the art models mostly take an agent-based perspective, in which pedestrian decisions are made according to a manually defined model. Reinforcement learning (RL), on the o...
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Neil S. Grigg, Ryan T. Bailey and Ryan G. Smith
Integrated solutions to groundwater management problems require effective analysis of stream-aquifer connections, especially in irrigated semi-arid regions where groundwater pumping affects return flows and causes streamflow depletion. Scientific researc...
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Wenwen Li, Sizhe Wang, Xiao Chen, Yuanyuan Tian, Zhining Gu, Anna Lopez-Carr, Andrew Schroeder, Kitty Currier, Mark Schildhauer and Rui Zhu
The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, and wildfires to hurricanes, floods, and wars. Providing timely disaster response and humanitarian aid to these events is a critical topic fo...
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Marlene Susanne Lisa Scharfe-Scherf, Sebastian Wiese and Nele Russwinkel
The development of highly automated driving requires dynamic approaches that anticipate the cognitive state of the driver. In this paper, a cognitive model is developed that simulates a spectrum of cognitive processing and the development of situation aw...
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Jiagen Yu, Zhengjiang Liu and Xianku Zhang
The problem of ship collision avoidance path planning is one of the key problems in the ship motion control field. Aiming at the high computational time problem of path planning in multi-ship encounter situations and the impact of the target ship?s actio...
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Ting Sun, Cheng Liu, Shuang Xu, Qizhi Hu and Cheng Li
In crowded waters, the incidence of collision accidents of multiple vessels has increased significantly, most of which can be ascribed to human factors, particularly, human decision-making failures and inobservance with International Regulations for Prev...
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Virginia Mendizabal, Borja Martínez, Luis Mercedes, Ernest Bernat-Maso and Lluis Gil
The reinforcement of concrete structures using FRCM is a rather novelty approach that overcomes some of the drawbacks of organic composites such as carbon fiber CFRP. Moreover, the use of vegetal fabrics has a direct effect on the carbon footprint. Some ...
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Qingwei Mi and Tianhan Gao
Artificial intelligence in games is one of the most challenging tasks in academia and industry. In action role-playing games, how to manage combat effectively is a key issue related to game development and the player?s experience. The Belgian artificial ...
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Karpin Karpin,Ai Mahmudatussa'adah
Pág. 32 - 40
The research objective was to improve the students' competency mastery which is the demand for lectures; building student learner autonomy; describes the stages of learning reflection to build learner autonomy. Quasi-experimental research is used to achi...
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