|
|
|
|
|
Zhi Dou, Xin Huang, Weifeng Wan, Feng Zeng and Chaoqi Wang
Hydraulic conductivity generally decreases with depth in the Earth?s crust. The hydraulic conductivity?depth relationship has been assessed through mathematical models, enabling predictions of hydraulic conductivity in depths beyond the reach of direct m...
ver más
|
|
|
|
|
|
|
|
|
George Papageorgiou, Vangelis Sarlis and Christos Tjortjis
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ...
ver más
|
|
|
|
|
|
|
|
|
Xiaotian Luo, Cong Yin, Yueqiang Sun, Weihua Bai, Wei Li and Hongqing Song
Deep soil moisture data have wide applications in fields such as engineering construction and agricultural production. Therefore, achieving the real-time monitoring of deep soil moisture is of significant importance. Current soil monitoring methods face ...
ver más
|
|
|
|
|
|
|
|
|
Danial Khojasteh, Tej Vibhani, Hassan Shafiei, William Glamore and Stefan Felder
Estuaries worldwide are experiencing increasing threats from climate change, particularly from the compounding effects of sea level rise (SLR) and varying magnitude of river inflows. Understanding the tidal response of estuaries to these effects can guid...
ver más
|
|
|
|
|
|
|
|
|
Chang-Min Lee, Hee-Joo Jang and Byung-Gun Jung
As the development of autonomous ships is underway in the maritime industry, the automation of ship spare part management has become an important issue. However, there has been little development of dedicated devices or applications for ships. This study...
ver más
|
|
|
|