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Shun Wang, Jiayan Wang, Zhikang Xu, Ji Wang, Rui Li and Jinliang Dai
The application of titanium alloy in shipbuilding can reduce ship weight and carbon emissions. To solve the problem of titanium alloy forming, the deformation prediction of titanium alloy line heating based on a backpropagation (BP) neural network and sp...
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Qianyang Li and Xingjun Zhang
For time series forecasting, multivariate grey models are excellent at handling incomplete or vague information. The GM(1, N) model represents this group of models and has been widely used in various fields. However, constructing a meaningful GM(1, N) mo...
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Arturs Kempelis, Inese Polaka, Andrejs Romanovs and Antons Patlins
Urban agriculture presents unique challenges, particularly in the context of microclimate monitoring, which is increasingly important in food production. This paper explores the application of convolutional neural networks (CNNs) to forecast key sensor m...
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Yaolin Lin, Jingye Liu, Kamiel Gabriel, Wei Yang and Chun-Qing Li
Buildings consume about 40% of the global energy. Building energy consumption is affected by multiple factors, including building physical properties, performance of the mechanical system, and occupants? activities. The prediction of building energy cons...
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Kerry L. Mapes and Narcisa G. Pricope
With predicted alterations in climate and land use, managing water resources is of the utmost importance, especially in areas such as the United States (U.S.) Coastal Plain where extensive connections exist between surface and groundwater systems. These ...
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Narcisa G. Pricope, Kerry L. Mapes, Kyle D. Woodward, Steele F. Olsen and J. Britton Baxley
There is a growing demand for the collection of ultra-high spatial resolution imagery using unmanned aerial systems (UASs). UASs are a cost-effective solution for data collection on small scales and can fly at much lower altitudes, thus yielding spatial ...
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Dongguo Shao, Xizhi Nong, Xuezhi Tan, Shu Chen, Baoli Xu and Nengjie Hu
Water quality forecast is a critical part of water security management. Spatiotemporal and multifactorial variations make water quality very complex and changeable. In this article, a novel model, which was based on back propagation neural network that w...
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J. G. Alessi, D. Barton, E. Beebe, S. Bellavia, O. Gould, A. Kponou, R. Lambiase, R. Lockey, A. McNerney, M. Mapes, Y. Marneris, M. Okamura, D. Phillips, A. I. Pikin, D. Raparia
Pág. 02A509
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