167   Artículos

 
en línea
Qingyan Wang, Longzhi Sun and Xuan Yang    
Rice yield is essential to global food security under increasingly frequent and severe climate change events. Spatial analysis of rice yields becomes more critical for regional action to ensure yields and reduce climate impacts. However, the understandin... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Zhenzhong Yin and Bin Zhang    
Providing accurate and real-time bus travel time information is crucial for both passengers and public transportation managers. However, in the traditional bus travel time prediction model, due to the lack of consideration of the influence of different b... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Daping Xi, Yuhao Feng, Wenping Jiang, Nai Yang, Xini Hu and Chuyuan Wang    
The extraction of ship behavior patterns from Automatic Identification System (AIS) data and the subsequent prediction of travel routes play crucial roles in mitigating the risk of ship accidents. This study focuses on the Wuhan section of the dendritic ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Xuhang Xu, Chunshan Liu, Jianghui Li, Yongchun Miao and Lou Zhao    
Vessel trajectory prediction is an important step in route planning, which could help improve the efficiency of maritime transportation. In this article, a high-accuracy long-term trajectory prediction algorithm is proposed for oil tankers. The proposed ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jinya Xu, Jiaye Gong, Luyao Wang and Yunbo Li    
The stability of navigation in waves is crucial for ships, and the effect of the waves on navigation stability is complicated. Hence, the LSTM neural network technique is applied to predict the course changing of a ship in different wave conditions, wher... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yupeng Yuan, Xiaoyu Wang, Liang Tong, Rui Yang and Boyang Shen    
Various measures have been taken to improve ship energy efficiency while decreasing CO2 emissions. In this work, the navigation environment between Wuhan and Shanghai in China has been classified based on an improved K-means algorithm in order to realize... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Peng Lyu, Jeongik Min and Juwhan Song    
A non-invasive automatic broiler weight estimation and prediction method based on a machine learning algorithm was developed to address the issue of high labor costs and stress responses caused by the traditional broiler weighing method in large-scale br... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Roman Putter, Andre Neubohn, Andre Leschke and Roland Lachmayer    
Traffic accident avoidance and mitigation are the main targets of accident research and vehicle safety development worldwide. Despite improving advanced driver assistance systems (ADAS) and active safety systems, it will not be possible to avoid all vehi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Tulio Silveira-Santos, Anestis Papanikolaou, Thais Rangel and Jose Manuel Vassallo    
App-based ride-hailing mobility services are becoming increasingly popular in cities worldwide. However, key drivers explaining the balance between supply and demand to set final prices remain to a considerable extent unknown. This research intends to un... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Dibo Dong, Shangwei Wang, Qiaoying Guo, Xing Li, Weibin Zou and Zicheng You    
Accurately predicting wind speed is crucial for the generation efficiency of offshore wind energy. This paper proposes an ultra-short-term wind speed prediction method using a graph neural network with a multi-head attention mechanism. The methodology ai... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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