105   Artículos

 
en línea
Zhiqiang Jiang, Yongyan Ma and Weijia Li    
Accurate forecasting of ship motion is of great significance for ensuring maritime operational safety and working efficiency. A data-driven ship motion forecast method is proposed in this paper, aiming at the problems of low generalization of a single fo... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zeqin Tian, Dengfeng Chen and Liang Zhao    
Accurate building energy consumption prediction is a crucial condition for the sustainable development of building energy management systems. However, the highly nonlinear nature of data and complex influencing factors in the energy consumption of large ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Weiwei Yuan, Wanxia Yang, Liang He, Tingwei Zhang, Yan Hao, Jing Lu and Wenbo Yan    
The extraction of entities and relationships is a crucial task in the field of natural language processing (NLP). However, existing models for this task often rely heavily on a substantial amount of labeled data, which not only consumes time and labor bu... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Jia-Ling Xie, Wei-Feng Shi, Ting Xue and Yu-Hang Liu    
The fault detection and diagnosis of a ship?s electric propulsion system is of great significance to the reliability and safety of large modern ships. The traditional fault diagnosis method based on mathematical models and expert knowledge is limited by ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Kevin Mero, Nelson Salgado, Jaime Meza, Janeth Pacheco-Delgado and Sebastián Ventura    
Unemployment, a significant economic and social challenge, triggers repercussions that affect individual workers and companies, generating a national economic impact. Forecasting the unemployment rate becomes essential for policymakers, allowing them to ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mihael Gudlin, Miro Hegedic, Matija Golec and Davor Kolar    
In the quest for industrial efficiency, human performance within manufacturing systems remains pivotal. Traditional time study methods, reliant on direct observation and manual video analysis, are increasingly inadequate, given technological advancements... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Brian Rizqi Paradisiaca Darnoto, Daniel Siahaan and Diana Purwitasari    
Persuasive content in online news contains elements that aim to persuade its readers and may not necessarily include factual information. Since a news article only has some sentences that indicate persuasiveness, it would be quite challenging to differen... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Tianhao Hou, Hongyan Xing, Xinyi Liang, Xin Su and Zenghui Wang    
Marine sensors are highly vulnerable to illegal access network attacks. Moreover, the nation?s meteorological and hydrological information is at ever-increasing risk, which calls for a prompt and in depth analysis of the network behavior and traffic to d... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Demeng Zhang, Guang Zheng, Hebing Liu, Xinming Ma and Lei Xi    
Chinese named entity recognition of wheat diseases and pests is an initial and key step in constructing knowledge graphs. In the field of wheat diseases and pests, there are problems, such as lack of training data, nested entities, fuzzy entity boundarie... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Arwa Alqarni and Atta Rahman    
The World Health Organization (WHO) declared the outbreak of Coronavirus disease 2019 (COVID-19) a pandemic on 11 March 2020. The evolution of this pandemic has raised global health concerns, making people worry about how to protect themselves and their ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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