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Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes
In forecasting research, the focus has largely been on decision support systems for enhancing performance, with fewer studies in learning support systems. As a remedy, Intelligent Tutoring Systems (ITSs) offer an innovative solution in that they provide ...
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Lijuan Li, Xinyi Chen, Yan Wang, Fubin Zhang, Xinyi Zhou and Tuo Zhang
Ferrihydrite is usually used as a remedy for arsenic (As)-contaminated soil due to its strong affinity and large specific surface area. However, its noncrystalline phase makes it unstable in long-term applications in the soil. In this study, a soil incub...
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Xin Wang, Kang-Lin Peng and Ting Meng
The world is experiencing population ageing, which will extend to the future across the world. The ageing population is sure to impact a country?s welfare policy and economy. Macau is a special administrative region (SAR) of China with a long-life expect...
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Bartosz Mazurkiewicz, Markus Kattenbeck and Ioannis Giannopoulos
In recent years, there has been collected evidence suggesting that increased usage of navigation assistance systems has a harmful effect on spatial cognition, including spatial knowledge acquisition. Previously, we proposed a potential remedy called Free...
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Anna Karla Santos Pereira, Lívia Fernandes Silva, Gustavo Antonio Figueredo Barbosa, Thaynara Guimarães Miranda, Rayane Reis Sousa, Renato Almeida Sarmento, Nelson Luís Gonçalves Dias Souza, Douglas Henrique Pereira and Grasiele Soares Cavallini
The present study reviews the quantitative data on the use of pesticides and their relationship to environmental and human health problems in Brazil. The detection of residual concentrations of pesticides in food and water consumed by humans has raised q...
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Thomas Schiller, Bruce Caulkins, Annie S. Wu and Sean Mondesire
Internet of Things (IoT) devices are common in today?s computer networks. These devices can be computationally powerful, yet prone to cybersecurity exploitation. To remedy these growing security weaknesses, this work proposes a new artificial intelligenc...
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Jonathan Vance, Khaled Rasheed, Ali Missaoui and Frederick W. Maier
Alfalfa is critical to global food security, and its data is abundant in the U.S. nationally, but often scarce locally, limiting the potential performance of machine learning (ML) models in predicting alfalfa biomass yields. Training ML models on local-o...
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Jian Sun, Yiming Zhang, Haitao Chen and Jinyou Qiao
Present agricultural practices confront issues such as mismatches between tractors and implements, imprecise machinery allocation, and excessive machinery investment. Optimization of agricultural machinery systems was a potent remedy for these concerns. ...
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Dong Dai, Du Chen, Shumao Wang, Song Li, Xu Mao, Bin Zhang, Zhenyu Wang and Zheng Ma
Effective indoor testing on a four-poster rig of agricultural machinery should mimic the real-world environment while the machinery is in farming and transportation. The emerging load spectrum extrapolation and compilation are capable of speeding up the ...
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Liqi Zhang and Yonghui Zhao
Based on measured gust information, a multi-input multi-output (MIMO) adaptive feed-forward control scheme for gust load alleviation (GLA) on a semi-span flying-wing aircraft using multiple control surfaces is proposed. In order to remedy weight drift an...
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