|
|
|
Francisca Lanai Ribeiro Torres, Luana Medeiros Marangon Lima, Michelle Simões Reboita, Anderson Rodrigo de Queiroz and José Wanderley Marangon Lima
Streamflow forecasting plays a crucial role in the operational planning of hydro-dominant power systems, providing valuable insights into future water inflows to reservoirs and hydropower plants. It relies on complex mathematical models, which, despite t...
ver más
|
|
|
|
|
|
|
Peipei Chen, Jianguo Dai, Guoshun Zhang, Wenqing Hou, Zhengyang Mu and Yujuan Cao
Nitrogen plays a crucial role in cotton growth, making the precise diagnosis of its nutrition levels vital for the scientific and rational application of fertilizers. Addressing this need, our study introduced an EMRDFC-based diagnosis model specifically...
ver más
|
|
|
|
|
|
|
Dongyi Wang, Guoli Wang and Hang Wang
Among so many autonomous driving technologies, autonomous lane changing is an important application scenario, which has been gaining increasing amounts of attention from both industry and academic communities because it can effectively reduce traffic con...
ver más
|
|
|
|
|
|
|
Anton Sysoev
The construction of a mathematical model of a complicated system is often associated with the evaluation of inputs? (arguments, factors) influence on the output (response), the identification of important relationships between the variables used, and red...
ver más
|
|
|
|
|
|
|
Kidoo Park, Yeongjeong Seong, Younghun Jung, Ilro Youn and Cheon Kyu Choi
The methods for improving the accuracy of water level prediction were proposed in this study by selecting the Gated Recurrent Unit (GRU) model, which is effective for multivariate learning at the Paldang Bridge station in Han River, South Korea, where th...
ver más
|
|
|
|
|
|
|
Kazem Javan, Ali Altaee, Mariam Darestani, Mehrdad Mirabi, Farshad Azadmanesh, John L. Zhou and Hanieh Hosseini
Ardabil Plain, which holds significant political and economic importance in agricultural production in Iran, has faced various challenges including climate change, economic sanctions, and limited access to global trade. Ensuring food security has become ...
ver más
|
|
|
|
|
|
|
Rasoul Afsari, Saman Nadizadeh Shorabeh, Mostafa Kouhnavard, Mehdi Homaee and Jamal Jokar Arsanjani
Preparedness against floods in a hazard management perspective plays a major role in the pre-event phase. Hence, assessing urban vulnerability and resilience towards floods for different risk scenarios is a prerequisite for urban planners and decision ma...
ver más
|
|
|
|
|
|
|
Md. Mostafizur Rahman and György Szabó
In urban land use optimization problems, different conflicting objectives are applied. One of the most significant goals in urban land use optimization problems is to maximize environmental benefits. To quantify environmental benefits in land use optimiz...
ver más
|
|
|
|
|
|
|
Daniela Stroppiana, Gloria Bordogna, Matteo Sali, Mirco Boschetti, Giovanna Sona and Pietro Alessandro Brivio
The paper proposes a fully automatic algorithm approach to map burned areas from remote sensing characterized by human interpretable mapping criteria and explainable results. This approach is partially knowledge-driven and partially data-driven. It explo...
ver más
|
|
|
|
|
|
|
Ta-Chun Wen, Hsin-Hung Lai and Kuei-Hu Chang
Multi-expert multi-criterion decision-making problems are complicated decision issues. Different experts have different opinions with regard to multi-criterion decision-making problems, depending on their background and experience. These experts provide ...
ver más
|
|
|
|