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Muhammad Tayyab, Rana Ammar Aslam, Umar Farooq, Sikandar Ali, Shahbaz Nasir Khan, Mazhar Iqbal, Muhammad Imran Khan and Naeem Saddique
Groundwater Arsenic (As) data are often sparse and location-specific, making them insufficient to represent the heterogeneity in groundwater quality status at unsampled locations. Interpolation techniques have been used to map groundwater As data at unsa...
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Qian Liu, Xiaofeng Zhao, Jing Zou, Yunzhou Li, Zhijin Qiu, Tong Hu, Bo Wang and Zhiqian Li
The Coupled Ocean?Atmosphere?Wave?Sediment Transport (COAWST) model serves as the foundation for creating a forecast model to detect lower atmospheric ducts in this study. A set of prediction tests with different forecasting times focusing on the South C...
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Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for...
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Yong-Hee Kim, Soon-Seong Moon and Jun-Oh Yeon
Floor mats are commonly used to improve the impact sound performance of existing homes, but actual impact sound reductions do not consistently appear, as they depend on the test-bed conditions used to determine impact sound performance. Therefore, this s...
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Tahsin Koroglu and Elanur Ekici
In recent years, wind energy has become remarkably popular among renewable energy sources due to its low installation costs and easy maintenance. Having high energy potential is of great importance in the selection of regions where wind energy investment...
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