In recent years, numerous landslides on hillsides in urban and rural areas have underscored that understanding and predicting ...
Abstract: The spatialization of precipitation data is crucial for studies on climatology, agriculture, and climate change, as well as for urban and environmental planning. Established spatial ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
Abstract: This paper addresses the mitigation of spatial-wideband (SW) and the resulting beam-split (B-SP) effects in intelligent reflecting surface (IRS)-aided wideband systems. The SW effect occurs ...
This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...
From Chaos to Order: Designing for Multifunctional Efficiency in Intracity Bus Termini in Nairobi ()
infrastructural design and the needs of the people, and the bus termini of Nairobi can become an excellent model of smart, ...
This project represents a complete, industry standard, end-to-end data analytics workflow, designed to mirror the real responsibilities of professional analysts in modern business environments. The ...
1 School of Management, Xuzhou Medical University, Xuzhou, Jiangsu, China 2 Xuzhou Surveying & Mapping Institute Co., Ltd., Xuzhou, Jiangsu, China Evaluation of the spatial effect of urban green ...
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