|
|
|
|
|
Mihael Gudlin, Miro Hegedic, Matija Golec and Davor Kolar
In the quest for industrial efficiency, human performance within manufacturing systems remains pivotal. Traditional time study methods, reliant on direct observation and manual video analysis, are increasingly inadequate, given technological advancements...
ver más
|
|
|
|
|
|
|
|
|
Tasha Austin and Bharat S. Rawal
The purpose of this study is to show how machine learning can be leveraged as a tool to govern social impact and drive fair and equitable investments. Many organizations today are establishing financial inclusion goals to promote social impact and have b...
ver más
|
|
|
|
|
|
|
|
|
Yinghao Qin, Qinglong Yu, Liying Wan, Yang Liu, Huier Mo, Yi Wang, Sujing Meng, Xiangyu Wu, Dandan Sui and Jiping Xie
In this study, a global-ocean-data-assimilation system based on the three-dimensional variational (3DVAR) scheme is built for operational oceanography. The available observations include satellite altimetry; the satellite-measured sea-surface temperature...
ver más
|
|
|
|
|
|
|
|
|
Chi Xu, Chuanqi Liu, Wanchang Zhang, Zhenghao Li and Bangsheng An
Complex terrain, the sparse distribution of rain gauges, and the poor resolution and quality of satellite data in remote areas severely restrict the development of watershed hydrological modeling, meteorology, and ecological research. In this study, base...
ver más
|
|
|
|
|
|
|
|
|
Xiaoguo Mu, Hu Gao, Haijun Li, Fucheng Gao, Ying Zhang and Lin Ye
This study aimed to address the crop growth and development issues caused by environmental factors in the area of the Liupan Mountains in Ningxia. In this area, there is a large temperature difference between day and night due to drought and low rainfall...
ver más
|
|
|
|