|
|
|
Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C...
ver más
|
|
|
|
|
|
Husnain Haider, Mohammed Hammed Alkhowaiter, Md. Shafiquzzaman, Saleem S. AlSaleem, Meshal Almoshaogeh and Fawaz Alharbi
Original Canadian Council of Minster of the Environment Water Quality Index (CCME WQI) is being used for assessing the water quality of surface water sources and distribution systems on a case by case basis. Its full potential as a management tool for co...
ver más
|
|
|
|
|
|
Bilgin Metin, Sefa Duran, Eda Telli, Meltem Mutlutürk and Martin Wynn
In today?s technology-centric business environment, where organizations encounter numerous cyber threats, effective IT risk management is crucial. An objective risk assessment?based on information relating to business requirements, human elements, and th...
ver más
|
|
|
|
|
|
Sandro Pullo, Remo Pareschi, Valentina Piantadosi, Francesco Salzano and Roberto Carlini
Addressing the critical challenges of resource inefficiency and environmental impact in the agrifood sector, this study explores the integration of Internet of Things (IoT) technologies with IOTA?s Tangle, a Distributed Ledger Technology (DLT). This inte...
ver más
|
|
|
|
|
|
Rui Yuan, Ruiyang Xu, Hezhenjia Zhang, Yutao Hua, Hongsheng Zhang, Xiaojing Zhong and Shenliang Chen
This study presents an in-depth analysis of the dynamic beach landscapes of Hainan Island, which is located at the southernmost tip of China. Home to over a hundred natural and predominantly sandy beaches, Hainan Island confronts significant challenges p...
ver más
|
|
|