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Yonggang Wang, Ruimin Xiao, Yizhi Yin and Tan Liu
Yield prediction for tomatoes in greenhouses is an important basis for making production plans, and yield prediction accuracy directly affects economic benefits. To improve the prediction accuracy of tomato yield in Chinese-style solar greenhouses (CSGs)...
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Jiajie Wei, Jiazhi Zhao and Jixin Wang
The proposed methods for predicting shovel force and power-matching optimization can enhance the operational efficiency of large-tonnage electric wheel loader.
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M. Guru Vimal Kumar, Veena N, Lenka Cepová, M Arun Manicka Raja, Allam Balaram and Muniyandy Elangovan
Agriculture is the backbone of any developing or developed country that makes any living to survive. To make food available throughout the year, it is necessary to know about agriculture and the work and strategies involved. Hence, agricultural courses h...
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Huaiyu Liu, Zhijun Meng, Anqi Zhang, Yue Cong, Xiaofei An, Weiqiang Fu, Guangwei Wu, Yanxin Yin and Chengqian Jin
Aiming to address the problems of low detection accuracy and poor stability due to the weak anti-interference ability of the bridge circuit and operational amplifier circuit, and the influence on the capacitance of the bulk density and temperature of the...
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Chaoran Zheng, Mohsen Eskandari, Ming Li and Zeyue Sun
The large-scale integration of wind power and PV cells into electric grids alleviates the problem of an energy crisis. However, this is also responsible for technical and management problems in the power grid, such as power fluctuation, scheduling diffic...
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Daniel Okojie, Linus Idoko, Daniel Herbert and Agha Nnachi
Protection schemes are usually implemented in the planning of transmission line operations. These schemes are expected to protect not only the network of transmission lines but also the entire power systems network during fault conditions. However, it is...
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Shuchuang Dong, Xinxing You and Fuxiang Hu
In Japan, the marine aquaculture net cage has an important role in farming pacific bluefin tuna farming in oceans, and the design of the net cage needs to ensure robustness against hostile oceanic conditions. Accordingly, this study focuses on the drag f...
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Aidong Hou, Shengli Jin, Dietmar Gruber and Harald Harmuth
Artificial neural network (ANN) is widely applied as a predictive tool to solve complex problems. The performance of an ANN model is significantly affected by the applied architectural parameters such as the node number in a hidden layer, which is largel...
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May Phu Paing, Kazuhiko Hamamoto, Supan Tungjitkusolmun and Chuchart Pintavirooj
Lung cancer is a life-threatening disease with the highest morbidity and mortality rates of any cancer worldwide. Clinical staging of lung cancer can significantly reduce the mortality rate, because effective treatment options strongly depend on the spec...
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Wei Li, Lijuan Cui, Yaqiong Zhang, Zhangjie Cai, Manyin Zhang, Weigang Xu, Xinsheng Zhao, Yinru Lei, Xu Pan, Jing Li and Zhiguo Dou
Nutrient removal in tidal flow constructed wetlands (TF-CW) is a complex series of nonlinear multi-parameter interactions. We simulated three tidal flow systems and a continuous vertical flow system filled with synthetic wastewater and compared the influ...
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Wei Li, Lijuan Cui, Yaqiong Zhang, Zhangjie Cai, Manyin Zhang, Weigang Xu, Xinsheng Zhao, Yinru Lei, Xu Pan, Jing Li and Zhiguo Dou
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Fauziah Fauziah
Pág. 53 - 61
One area of science that can apply facial recognition applications is artificial intelligence. The algorithms used in facial recognition are quite numerous and varied, but they all have the same three basic stages, face detection, facial extraction and f...
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Siyao Yu, Haoran Bu, Xue Hu, Wancheng Dong and Lixin Zhang
In order to explore the feasibility of rapid non-destructive detection of cotton leaf chlorophyll content during the growth stage, this study utilized hyperspectral technology combined with a feature variable selection method to conduct quantitative dete...
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Sheng Zhang, Guangzhong Liu and Chen Cheng
Over the past few decades, unmanned surface vehicles (USV) have drawn a lot of attention. But because of the wind, waves, currents, and other sporadic disturbances, it is challenging to understand and collect correct data about USV dynamics. In this pape...
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Yuyang Hao, Kan He and Ying Zhang
In this paper, we establish an aggregate class distribution neural network (AGGNN) structure to determine whether an arbitrary two-qubit quantum state is steerable. Compared to the classification results obtained using a support vector machine (SVM) and ...
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Siyu Chen, Guohua Fang, Xianfeng Huang and Yuhong Zhang
Prediction of water quality which can ensure the water supply and prevent water pollution is essential for a successful water transfer project. In recent years, with the development of artificial intelligence, the backpropagation (BP) neural network has ...
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Ruyi Zhou, Dasheng Wu, Luming Fang, Aijun Xu and Xiongwei Lou
Traditional field surveys are expensive, time-consuming, laborious, and difficult to perform, especially in mountainous and dense forests, which imposes a burden on forest management personnel and researchers. This study focuses on predicting forest grow...
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Siyu Chen, Guohua Fang, Xianfeng Huang and Yuhong Zhang
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Muhammad Tayyab, Ijaz Ahmad, Na Sun, Jianzhong Zhou and Xiaohua Dong
Consistent streamflow forecasts play a fundamental part in flood risk mitigation. Population increase and water cycle intensification are extending not only globally but also among Pakistan’s water resources. The frequency of floods has increased i...
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Chien-Lin Huang, Nien-Sheng Hsu, Chih-Chiang Wei and Wei-Jiun Luo
This study adopts rainwater harvesting systems (RWHS) into a stormwater runoff management model (SWMM) for the spatial design of capacities and quantities of rain barrel for urban flood mitigation. A simulation-optimization model is proposed for effectiv...
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