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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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Haojun Wen, Xiaodong Ma, Chenjian Qin, Hao Chen and Huanyu Kang
The high clearance spray is a type of large and efficient agricultural machinery used for plant protection, and path tracking control is the key to ensure the efficient and safe operation of spray. Sliding mode control and other methods are commonly used...
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Károly Héberger
Background: The development and application of machine learning (ML) methods have become so fast that almost nobody can follow their developments in every detail. It is no wonder that numerous errors and inconsistencies in their usage have also spread wi...
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Xiyun Ge, Hongkun Zhou, Junbo Zhao, Xiaowei Li, Xinyu Liu, Jin Li and Chengming Luo
With the extensive application of sensor technology in scientific ocean research, ocean resource exploration, underwater engineering construction, and other fields, underwater target positioning technology has become an important support for the ocean fi...
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Zhihong Zhang, Chaowei Huang, Xing Xu, Lizhe Ma, Zhou Yang and Jieli Duan
Potted plant canopy extraction requires a fast, accurate, stable, and affordable detection system for precise pesticide application. In this study, we propose a new method for extracting three-dimensional canopy information of potted plants using millime...
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Gayan Dharmarathne, Gabriela F. Nane, Andrew Robinson and Anca M. Hanea
Mathematical aggregation of probabilistic expert judgments often involves weighted linear combinations of experts? elicited probability distributions of uncertain quantities. Experts? weights are commonly derived from calibration experiments based on the...
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Junfang Fan, Denghui Dou and Yi Ji
In this study, two different impact-angle-constrained guidance and control strategies using deep reinforcement learning (DRL) are proposed. The proposed strategies are based on the dual-loop and integrated guidance and control types. To address comprehen...
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Manuel Vargas-Yáñez, Elena Tel, Marta Marcos, Francina Moya, Enrique Ballesteros, Cristina Alonso and M. Carmen García-Martínez
We present an attempt to estimate the long-term changes in Relative Sea Level (RSL), in addition to the different factors contributing to such trends on a local and regional scale, using a statistical linear model. The time series analysis corresponded t...
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Ning Sun, Jie Li, Debiao Zhang, Chenjun Hu, Xiaofei Peng, Jie Jiang, Shuai Wang, Zeyu Zhang and Wentao Cui
The performance of analog-to-digital converters (ADCs) has reached a bottleneck due to the limitations of the manufacturing process and testing environment. Time-interleaved ADC (TIADC) technology can increase the sampling rate without changing the resol...
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Evangelos Rozos, Demetris Koutsoyiannis and Alberto Montanari
Uncertainty is inherent in the modelling of any physical processes. Regarding hydrological modelling, the uncertainty has multiple sources including the measurement errors of the stresses (the model inputs), the measurement errors of the hydrological pro...
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