|
|
|
|
|
Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac...
ver más
|
|
|
|
|
|
|
|
|
|
|
S. Rahma, R. A. E. Putra
Pág. 76 - 83
The main role of a transportation network is providing optimum services for transportation network. Over the time, the population is increasing and the needs of reliable transportation network also increased. Transportation network consists of node and c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mihai Crengani?, Radu-Eugen Breaz, Sever-Gabriel Racz, Claudia-Emilia Gîrjob, Cristina-Maria Biri?, Adrian Maro?an and Alexandru Bârsan
This scientific paper presents the development and validation process of a dynamic model in Simulink used for decision-making regarding the locomotion and driving type of autonomous omnidirectional mobile platforms. Unlike traditional approaches relying ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cagri Alperen Inan, Ammar Maoui, Yann Lucas and Joëlle Duplay
Water resource management scenarios have become more crucial for arid to semi-arid regions. Their application prerequisites rigorous hydrological modelling approaches since data are usually exposed to uncertainties and inaccuracies. In this work, Soil Wa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qianyang Li and Xingjun Zhang
For time series forecasting, multivariate grey models are excellent at handling incomplete or vague information. The GM(1, N) model represents this group of models and has been widely used in various fields. However, constructing a meaningful GM(1, N) mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Li, Yamin Wu, Houqiao Wang, Junjie He, Qiaomei Wang, Jiayi Xu, Yuxin Xia, Wenxia Yuan, Shuyi Chen, Lin Tao, Xinghua Wang and Baijuan Wang
To investigate the variation in flavonoids content in ancient tree sun?dried green tea under abiotic stress environmental conditions, this study determined the flavonoids content in ancient tree sun-dried green tea and analyzed its correlation with corre...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bingyu Zhang, Yingtang Wei, Ronghua Liu, Shunzhen Tian and Kai Wei
The calibration and validation of hydrological model simulation performance and model applicability evaluation in Gansu Province is the foundation of the application of the flash flood early warning and forecasting platform in Gansu Province. It is diffi...
ver más
|
|
|
|
|
|
|
|
|
|
|
WoonSeong Jeong, ByungChan Kong and Sang-Guk Yum
The demand for compact housing is on the rise, driven by the need for floor plans that accommodate stakeholders? preferences. However, clients frequently struggle to convey their spatial needs to professionals, such as architects, due to a lack of means ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hossein Salehi, Saeid Gharechelou, Saeed Golian, Mohammadreza Ranjbari and Babak Ghazi
Hydrological modeling is essential for runoff simulations in line with climate studies, especially in remote areas with data scarcity. Advancements in climatic precipitation datasets have improved the accuracy of hydrological modeling. This research aims...
ver más
|
|
|
|
|
|