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Vangelis Sarlis, George Papageorgiou and Christos Tjortjis
Injuries are an unfortunate part of professional sports. This study aims to explore the multi-dimensional impact of injuries in professional basketball, focusing on player performance, team dynamics, and economic outcomes. Employing advanced machine lear...
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Muhammad Sanaullah, Xiuquan Wang, Sajid Rashid Ahmad, Kamran Mirza, Muhammad Qasim Mahmood and Muhammad Kamran
The fate of agriculture in Pakistan is predominantly concerned with excessive water mining threats to the subsurface water resources. The current study integrates the Visual MODFLOW-2000 application to estimate the water balance of an aquifer bounded by ...
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Kevinstiv Castro Huaman, Yaneth Vasquez Olivera, Vidal Aramburu Rojas, Luis Arauzo, Carlos Raymundo Ibañez and Francisco Dominguez
The necessity of mining valuable metals must be balanced with the safe and effective disposal or remediation of the resulting waste. Water, one of our most valuable resources, is a major component of the mining process, and its post-operation storage oft...
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Yuheng Song, Shiyang Yin, Ning Zhang, Fengnian Lu and Zexuan Cheng
The ocean is extremely rich in mineral resources. To cope with the shortage of land mineral resources, countries are focusing on the development of deep-sea mineral mining technology. Owing to its superior traction performance, the deep-sea polymetallic ...
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Rui-Yu Li, Yu Guo and Bin Zhang
Nonnegative matrix factorization (NMF) is an efficient method for feature learning in the field of machine learning and data mining. To investigate the nonlinear characteristics of datasets, kernel-method-based NMF (KNMF) and its graph-regularized extens...
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