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Carlos Blanco, Antonio Santos-Olmo and Luis Enrique Sánchez
As the Internet of Things (IoT) becomes more integral across diverse sectors, including healthcare, energy provision and industrial automation, the exposure to cyber vulnerabilities and potential attacks increases accordingly. Facing these challenges, th...
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Li Zhao, Shumin Liu, Haiying Gu and David Ahlstrom
Consumer preferences and attitudes toward genetically modified (GM) food have been widely studied, yet there is little research on the aspects of farmers and risk amplification. Based on both a field survey and an experiment conducted in villages in Chin...
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Lishi Mao, Junfeng Song, Siyuan Xu and Degui Yu
The agricultural organization based on digital platforms in C2F (Company?Platform?Farmers) may be an effective way to reduce the increased risk of green production caused by the COVID-19 pandemic, but the specific mechanism and impact involved are unclea...
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Thi-Linh Ho, Anh-Cuong Le and Dinh-Hong Vu
Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users? reviews, a...
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Wenhua Wan, Yueyi Liu, Hang Zheng, Jianshi Zhao, Fei Zhao and Yajing Lu
Reservoirs are susceptible to interference from inter-basin water transfer projects intended to relieve serious water shortages. The Central Route of the South-to-North Water Division Project in China has altered the hydrological conditions and water sto...
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Yanqi Xie, Shuifa Ke and Xiaojing Li
The implementation of China?s rural homestead withdrawal policy has been a topic of great interest in recent years. However, little is known about its impact on farmers? homestead withdrawal behavior from the perspective of psychological resilience. This...
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Yi-Chang Chen, Shih-Ming Kuo, Yonglin Liu, Zeqiong Wu and Fang Zhang
Most of the growth forecasts in analysts? evaluation reports rely on human judgment, which leads to the occurrence of bias. A back-propagation neural network (BPNN) is a financial technique that learns a multi-layer feedforward network. This study aims t...
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Rebecca Wehrle, Marcus Wiens, Fabian Neff and Frank Schultmann
Purpose?Unreliable transport infrastructure can cause negative externalities for industries. In this article, we analyze how the private sector is affected by infrastructure failure of public transport infrastructure, using waterways as an example. Metho...
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Kyungdoh Kim
Drones, which were first used in military applications, are now widely used by civilians for various purposes such as for deliveries and as cameras. There has been a lack of research into what drone users expect in terms of drone design and operation fro...
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Charl Maree and Christian W. Omlin
Personalisation of products and services is fast becoming the driver of success in banking and commerce. Machine learning holds the promise of gaining a deeper understanding of and tailoring to customers? needs and preferences. Whereas traditional soluti...
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