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Zhengwei Zhu, Can Hu, Chenyang Zhu, Yanping Zhu and Yu Sheng
Unmanned Surface Vehicle (USV) has a broad application prospect and autonomous path planning as its crucial technology has developed into a hot research direction in the field of USV research. This paper proposes an Improved Dueling Deep Double-Q Network...
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Hongjie Zhang, Cheng Qu, Jindou Zhang and Jing Li
Deep Reinforcement Learning (DRL) is a promising approach for general artificial intelligence. However, most DRL methods suffer from the problem of data inefficiency. To alleviate this problem, DeepMind proposed Prioritized Experience Replay (PER). Thoug...
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Mehrdad Karimimoshaver, Hatameh Hajivaliei, Manouchehr Shokri, Shakila Khalesro, Farshid Aram and Shahab Shamshirband
Tall buildings have become an integral part of cities despite all their pros and cons. Some current tall buildings have several problems because of their unsuitable location; the problems include increasing density, imposing traffic on urban thoroughfare...
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Hanaa Darouich, Maria R. Cameira, José M. Gonçalves, Paula Paredes, Luis S. Pereira
Pág. 1 - 19
Coping with water scarcity using supplemental irrigation of wheat (Triticum aestivum L.) in the semi-arid northeast Syria is a great challenge for sustainable water use in agriculture. Graded borders and set sprinkler systems were compared using multi-cr...
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Steve Dübel, Martin Röhlig, Christian Tominski and Heidrun Schumann
Visualizing geo-spatial data embedded into a three-dimensional terrain is challenging. The problem becomes even more complex when uncertainty information needs to be presented as well. This paper addresses the question of how to visually communicate all ...
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