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Junfang Fan, Denghui Dou and Yi Ji
In this study, two different impact-angle-constrained guidance and control strategies using deep reinforcement learning (DRL) are proposed. The proposed strategies are based on the dual-loop and integrated guidance and control types. To address comprehen...
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Kaixuan Qiu, Kaifeng Fan, Xiaolin Chen, Gang Lei, Shiming Wei, Rahul Navik and Jia Li
Rapid technological advances have accelerated offshore and onshore tight oil extraction to meet growing energy demand. Reliable tools to carry out production prediction are essential for development of unconventional reservoirs. The existed tri-linear an...
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Yeong-Ho Kwak, Seung-Yong Kim, Young-Shin Go, Dong-Hun Lee, Ha-Yun Song, Sang Ok Chung, Jeong Bae Kim and Bohyung Choi
We integrated stomach content analysis (SCA) and stable isotope analysis (SIA) to understand ontogenetic niche shifts in the invasive freshwater fish, bluegill, Lepomis macrochirus, inhabiting the Yedang Reservoir in Korea. Based on the total length (TL)...
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Wenwen Shi, Sharifah Salwa Syed Mahdzar and Weicong Li
This study aims to optimize the evaluation system of inclusive design in urban parks, emphasizing the systemic nature of sensory, cognitive, and motor capacity support and exploring its role in park design practice. Based on the capability demand model, ...
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Helena M. Ramos, Maria Cristina Morani, Francesco Pugliese and Oreste Fecarotta
Urbanization and population growth have been responsible for a significant increase in consumption of water and energy at a global scale. A careful management of water resource and infrastructures is crucial for Energy Transition, as well as for achievin...
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