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Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu and Jun Wang
Efficient yet sufficient exploration remains a critical challenge in reinforcement learning (RL), especially for Markov Decision Processes (MDPs) with vast action spaces. Previous approaches have commonly involved projecting the original action space int...
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Geng Liu, Zhongshan Shen, Xibin Han, Haifeng Wang, Weiwei Chen, Yi Zhang, Pengyun Ma, Yibing Li, Yun Cai, Pengfei Xue, Huafeng Qin and Chunxia Zhang
The stability of contemporary ice shelves is under threat due to global warming, and the geological records in the Ross Sea offer such an opportunity to test the linkage between them. However, the absence of calcareous microfossils in the sediments of th...
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Junbo Liu, Ji Zhou, Dajie Yu, Haifeng Sun, Song Hu and Jian Wang
As an effective resolution enhancement technology, source optimization (SO) is considered key for significantly improving the image quality of optical lithography at advanced nodes. To solve the problem of unsatisfactory SO performance, it is necessary t...
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Gonghou Yao, Zhanqiang Liu and Haifeng Ma
The presence of residual stress seriously affects the mechanical performance and reliability of engineering components. Here, the authors propose a novel method to determine corresponding residual stress through micro-hardness measurements of machined su...
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Hong Ding, Qinghui Zeng, Qin Yang, Huan Liu, Peng Hu, Haifeng Zhu and Yinan Wang
Wetlands have powerful runoff regulation functions, which can effectively store and retain surface runoff. The runoff regulation function of wetlands is affected by wetland areas, which affect the capacity of flood control. To explore the law of the area...
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Dan Wang, Jialing Che, Haifeng Liu and Siew Choo Chin
Economical desert sand engineered cementitious composites (DS-ECCs) using a mixture of cement, fly ash, local desert sand, water, low-cost PVA fibers, and chemical additives were developed, aiming for a further enhancement in ductility and toughness. The...
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Chaoyun Yang, Yonghong Zhang, Min Xia, Haifeng Lin, Jia Liu and Yang Li
Cloud and snow recognition technology is of great significance in the field of meteorology, and is also widely used in remote sensing mapping, aerospace, and other fields. Based on the traditional method of manually labeling cloud-snow areas, a method of...
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Zhiqi Guo, Xiaoyu Lv, Cai Liu, Haifeng Chen and Lulu Mei
Characterizing gas hydrate-bearing marine sediments using seismic methods is essential for locating potential hydrate resources. However, most existing pre-stack seismic inversion methods estimate the properties of sediments containing gas hydrates witho...
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Haifeng Liu, Chenghao Ma and Changqi Zhu
The pore-throat network of rock exerts a vital influence on the permeability and mechanical properties of the rock. Resorting to X-ray micro-CT scanning, the present work investigates the pore-throat structure of marine biogenic carbonate samples from th...
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Xinyi Yang, Ziyi Wang, Hengxi Zhang, Nan Ma, Ning Yang, Hualin Liu, Haifeng Zhang and Lei Yang
Combinatorial optimization problems (COPs) are a class of NP-hard problems with great practical significance. Traditional approaches for COPs suffer from high computational time and reliance on expert knowledge, and machine learning (ML) methods, as powe...
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