|
|
|
|
|
Bon-Ho Gu, Seung-Buhm Woo, Jae-Il Kwon, Sung-Hwan Park and Nam-Hoon Kim
This study presents a comprehensive analysis of contaminant transport in estuarine environments, focusing on the impact of tidal creeks and flats. The research employs advanced hydrodynamic models with irregular grid systems and conducts a detailed resid...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guilherme Ramos Milis, Christophe Gay, Marie-Cécile Alvarez-Herault and Raphaël Caire
In the context of increasingly necessary energy transition, the precise modeling of profiles for low-voltage (LV) network consumers is crucial to enhance hosting capacity. Typically, load curves for these consumers are estimated through measurement campa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongbo Liu, Peng He, Yan Cao, Conghua Zhu and Shitao Ding
A critical precondition for realizing mechanized transplantation in rice cultivation is the implementation of seedling tray techniques. To augment the efficacy of seeding, a precise evaluation of the quality of rice seedling cultivation in these trays is...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haiqiang Yang and Zihan Li
The objective imbalance between the taxi supply and demand exists in various areas of the city. Accurately predicting this imbalance helps taxi companies with dispatching, thereby increasing their profits and meeting the travel needs of residents. The ap...
ver más
|
|
|
|
|
|
|
|
|
|
|
Claudia Cavallaro, Carolina Crespi, Vincenzo Cutello, Mario Pavone and Francesco Zito
This paper introduces an agent-based model grounded in the ACO algorithm to investigate the impact of partitioning ant colonies on algorithmic performance. The exploration focuses on understanding the roles of group size and number within a multi-objecti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdullah F. Al-Aboosi, Aldo Jonathan Muñoz Vazquez, Fadhil Y. Al-Aboosi, Mahmoud El-Halwagi and Wei Zhan
Accurate prediction of renewable energy output is essential for integrating sustainable energy sources into the grid, facilitating a transition towards a more resilient energy infrastructure. Novel applications of machine learning and artificial intellig...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiayu Huang, Feng Diao, Shifeng Ding, Sen Han, Pentti Kujala and Li Zhou
In previous studies of ship?ice interactions, most studies focused on ship?level ice interactions, overlooking potential rafted ice conditions in extreme ice conditions. The purpose of this study is to develop a numerical model for predicting ship resist...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinya Lei, Yuewei Wang, Wei Han and Weijing Song
Coastal cities are increasingly vulnerable to urban storm surge hazards and the secondary hazards they cause (e.g., coastal flooding). Accurate representation of the spatio-temporal process of hazard event development is essential for effective emergency...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mengke Zhang, Xiaoguang Li, Ling Wang, Liujian Jin and Shubo Wang
The application of intelligent mobile robots in agriculture has emerged as a new research frontier, with the integration of autonomous navigation technology and intelligent agricultural robots being the key to the widespread adoption of smart agricultura...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fuyin Cui, Shuling Chen, Hongbin Hao, Changzhi Han, Ruidong Ni and Yueyue Zhuo
To address the unstable motion of a tension leg platform (TLP) for floating wind turbines in various sea conditions, an improved method of incorporating a tuned liquid multi-column damper (TLMCD) into the TLP foundation is proposed. In order to evaluate ...
ver más
|
|
|
|
|
|