Yuhan Guo

Optimal compliance strategy for an emission-controlled supply chain under the introduction of voluntary carbon emission reduction regulations

Zhixuan Lai, Yuhan Guo, Jilin Qiu, Mengxuan Jiang et autres

cn (code pays fourni par la source)

State-of-the-art machine learning applications for ship performance modeling: a comprehensive review from design and operation to maintenance and retrofit

Yuhan Guo, Xiao Lang, Yiyang Wang, Xiaonan Zhang et autres

Accurate ship performance modeling, which characterizes the relationships among ship speed, engine power, fuel consumption, and emissions, under varying operational and environmental conditions. It is essential for analyzing and optimizing ship energy efficiency, and it plays a crucial role in supporting shipping …

cn, se (code pays fourni par la source)

AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature Research

Zefei Xie, Yuhan Guo, Kai Xu

There are different goals for literature research, from understanding an unfamiliar topic to generate hypothesis for the next research project. The nature of literature research also varies according to user's familiarity level of the topic. For inexperienced researchers, identifying gaps in the …

AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature Research

Zefei Xie, Yuhan Guo, Kai Xu

There are different goals for literature research, from understanding an unfamiliar topic to generate hypothesis for the next research project. The nature of literature research also varies according to user's familiarity level of the topic. For inexperienced researchers, identifying gaps in the …

A rapid evaluation method of dynamic response for fixed offshore monopile wind turbines combined with experimental and numerical validation

Yu Zhang, Yuhan Guo, Chen An, Zhenyu Zhou et autres

cn (code pays fourni par la source)

PromptMap: Supporting Exploratory Text-to-Image Generation

Yuhan Guo, Xingyou Liu, Xiaoru Yuan, Kai Xü

Text-to-image generative models can be tremendously valuable in supporting creative tasks by providing inspirations and enabling quick exploration of different design ideas. However, one common challenge is that users may still not be able to find anything useful after many hours and …

Predicting estimated time of arrival for ships: A frequency-based approach considering met-ocean factors

Yiyang Wang, Xiaonan Zhang, Yuhan Guo

Accurate prediction of the estimated time of arrival (ETA) of ocean-going ships facilitates coordinated dispatch between ships and ports, alleviating congestion and enhancing efficiency. For ships navigating along predetermined routes to complete scheduled voyages, ETA prediction methods are broadly classified into direct …

cn (code pays fourni par la source)

State-of-the-art optimization algorithms in weather routing — ship decision support systems: challenge, taxonomy, and review

Yuhan Chen, Yuhan Guo, Yiyang Wang, Xiao Lang et autres

Weather routing has been extensively used as a decision support system in merchant ship operations and traffic management. A critical component of such a system is the optimisation method. Over recent years, substantial research efforts have been devoted to developing voyage optimisation …

se, fi, cn (code pays fourni par la source)

Vessel speed prediction using latent-invariant transforms in the presence of incomplete information

Xu Zhao, Yuhan Guo, Yiyang Wang, Maoxin Wang

cn (code pays fourni par la source)

3CLpro inhibitors: DEL-based molecular generation

Honggui Xu, Mingao Yu, Xingyu Chen, Zhenmin Zhong et autres

machine learning (ML) has speeded drug structural optimization, especially for targets with a large amount of reported bioactivity data. However, molecular generation for structural optimization is often powerless for new targets. DNA-encoded library (DEL) can generate systematic, target-specific activity data, including novel …

Discovery of TIGIT inhibitors based on DEL and machine learning

Feng Xiong, Mingao Yu, Honggui Xu, Zhenmin Zhong et autres

Drug discovery has entered a new period of vigorous development with advanced technologies such as DNA-encoded library (DEL) and artificial intelligence (AI). The previous DEL-AI combination has been successfully applied in the drug discovery of classical kinase and receptor targets mainly based …