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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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Jiahao Chen, Jiaxin Li, Deqian Zheng, Qianru Zheng, Jiayi Zhang, Meimei Wu and Chaosai Liu
The multi-field coupling of grain piles in grain silos is a focal point of research in the field of grain storage. The porosity of grain piles is a critical parameter that affects the heat and moisture transfer in grain piles. To investigate the distribu...
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Jiabo Wang, Zhixiong Lu, Guangming Wang, Ghulam Hussain, Shanhu Zhao, Haijun Zhang and Maohua Xiao
There are some problems in the shifting process of hydraulic CVT, such as irregularity, low stability and high failure rate. In this paper, the BP neural network and convolutional neural network are used for fault diagnosis of the HMCVT hydraulic system....
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Daoye Zhu, Chengqi Cheng, Weixin Zhai, Yihang Li, Shizhong Li and Bo Chen
Spatial object matching is one of the fundamental technologies used for updating and merging spatial data. This study focused mainly on the matching optimization of multiscale spatial polygonal objects. We proposed a granularity factor evaluation index t...
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Hang Yang, Xiaoqing Li, Bing Wu
Pág. 3840 - 3854
The forecast of the scale of highway network is of great importance in the planning of regional highway network. This paper is to seek a hybrid method to improve the accuracy and reliability of scale-forecast and obtain the optimal hierarchical structure...
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Ling Zhou, Peng Yan, Yanjun Zhang, Honglei Lei, Shuren Hao, Yueqiang Ma and Shaoyou Sun
The optimization of the production scheme for enhanced geothermal systems (EGS) in geothermal fields is crucial for enhancing heat production efficiency and prolonging the lifespan of thermal reservoirs. In this study, the 4100?4300 m granite diorite str...
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Lu Wang, Cunjie Yan, Wenqi Zhang and Yinghu Zhang
Exploring the crop production water footprint and their driving factors is of significant importance for management of agricultural water resources. However, how do we effectively assess the total agricultural water consumption and explore the significan...
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Zhe-Wei Zhou, Hui-Ya Yang, Bei-Xiu Xu, Yu-Hung Ting, Shia-Chung Chen and Wen-Ren Jong
For a long time, the traditional injection molding industry has faced challenges in improving production efficiency and product quality. With advancements in Computer-Aided Engineering (CAE) technology, many factors that could lead to product defects hav...
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Daopan Zhang and Sihua Wang
The collaborative innovation plan for colleges and universities is one of the important plans for the construction of high-level universities in Jiangsu Province. A key aspect of this plan is the development of collaborative innovation centers in college...
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Runjuan Zhou, Kuo Zhang and Ming Zhang
A back-propagation neural network (BPNN) was used to model and optimize the process of hydroxylamine (HA)-enhanced Fe2+ activating peroxymonosulfate (PMS). Using HA-enhanced Fe2+ to activate PMS is a cost-effective method to degrade orange II (AO7). We i...
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Xiang Yu, Chao Zhan, Yan Liu, Jialin Bi, Guoqing Li, Buli Cui, Longsheng Wang, Xianbin Liu and Qing Wang
Grain size is the basic property of intertidal zone sediment. Grain size acts as an indicator of sedimentary processes and geomorphological evolution under human and nature interactions. The remote sensing technique provides an alternative for sediment g...
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Zeqiang Wang, Guoliang Shi, Zhansheng Liu, Yanchi Mo, Bo Si, Yang Hu and Yongliang Wang
The construction process of cable net structure is complicated, which leads to the strong randomness of construction errors. The safety state of the cable net structure is very sensitive to construction errors. Obtaining the coupling relationship between...
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Zhiliang Kang, Jinping Geng, Rongsheng Fan, Yan Hu, Jie Sun, Youli Wu, Lijia Xu and Cheng Liu
The dry matter test of mango has important practical significance for the quality classification of mango. Most of the common fruit and vegetable quality nondestructive testing methods based on fluorescence hyperspectral imaging technology use a single a...
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Richard Romero Izurieta, Segundo Moisés Toapanta Toapanta, Luis Jhony Caucha Morales, María Mercedes Baño Hifóng, Eriannys Zharayth Gómez Díaz, Luis Enrique Mafla Gallegos, Ma. Roció Maciel Arellano and José Antonio Orizaga Trejo
Public organizations lack adequate models and methods to efficiently support and manage processes related to information security and IT investments. The objective is to optimize the management of strategic projects planned to improve the information sec...
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Wen-Chin Chen, Pao-Wen Lin, Shi-Bo Lin, Kuan-Ming Lin, Yun-Ru Chang
Pág. 211 - 221
This research integrates the Taguchi method, analysis of variables (ANOVA), back-propagation neural networks (BPNN), and hybrid PSO-GA to develop an intelligent optimization system of micro electroforming process for the mesh filter. From the outset of d...
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Jian Yang, Lin Du, Shuo Shi, Wei Gong, Jia Sun and Biwu Chen
Leaf nitrogen concentration (LNC) is a major biochemical parameter for estimating photosynthetic efficiency and crop yields. Laser-induced fluorescence, which is a promising potential technology, has been widely used to estimate the growth status of crop...
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Sudhanshu Panda, Devendra M. Amatya, Rhett Jackson, Ge Sun and Asko Noormets
The study goal was to develop automated user-friendly remote-sensing based evapotranspiration (ET) estimation tools: (i) artificial neural network (ANN) based models, (ii) ArcGIS-based automated geospatial model, and (iii) executable software to predict ...
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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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Qingxi Yang, Gongbo Li, Weilei Mu, Guijie Liu and Hailiang Sun
The reconstruction algorithm for the probabilistic inspection of damage (RAPID) is aimed at localizing structural damage via the signal difference coefficient (SDC) between the signals of the present and reference conditions. However, tomography is only ...
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