Showing 401 - 420 results of 726 for search '"province of China"', query time: 0.08s Refine Results
  1. 401

    Load Characteristics of Tunnel Lining in Flooded Loess Strata considering Loess Structure by Yuyang Liu, Hongpeng Lai

    Published 2019-01-01
    “…Based on a tunnel in Gansu Province in China, two failure glide planes of a shallowly buried loess tunnel and their immersion modes are summarized. …”
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  2. 402

    A Multicriteria Decision Model Based on Analytic Hierarchy Process for Managing Safety in Coal Mines by Xin Wang, Lei Zhang

    Published 2022-01-01
    “…Coal Mine in Henan Province of China. The matrix that evaluates each factor is obtained through a membership function and scored by experts, and the weight of each attribute is obtained through an analytic hierarchy process. …”
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  3. 403

    Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model by Hui Chen, Shenghua Xiong, Xuan Ren

    Published 2014-01-01
    “…A case study was performed based on the physical signs data, without using a biochemical index, that was collected from the staff of Lanzhou Grid Company in Gansu province of China. The results show that the developed artificial intelligence model is an effective classification system for identifying individuals at high risk of metabolic syndrome.…”
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    <i>Guium nebulum</i> gen. et sp. nov., a New Cup Moth from Southern China Based on Morphological and Molecular Analysis (Lepidoptera: Zygaenoidea: Limacodidae) by Jun Wu, Ting-Ting Zhao, Hui Geng, Guang-Ze Jin, Hui-Lin Han

    Published 2025-01-01
    “…., is described based on specimens collected from Guangxi Autonomous Region and Jiangxi Province in China. The new genus shares certain morphological features, such as a well-developed labial palpus, with related genera like <i>Tanvia Solovyev & Witt</i>, 2009; <i>Scopelodes</i> Westwood, 1841; <i>Hyphorma</i> Walker, 1865; and <i>Monema</i> Walker, 1855. …”
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  6. 406

    Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network by Chen Yang, Zhaohong Wang, Lihui Zheng, Dengtian Mao

    Published 2015-01-01
    “…The model is applied in the Mo80-C well located in Sichuan Province of China; the maximum relative error between calculated results and measured data is less than 2%. …”
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    Analysis of Sugarcane Juice Quality Indexes by Zeqing Xiao, Xiaoping Liao, Shuaiyin Guo

    Published 2017-01-01
    “…., brix, purity, polarization, sucrose content, and reducing sugar) combined with graphs over time along the course of crushing season (December–March) in Guangxi province of China. During this time, the sugarcane is in the mature stage and hypermature stage. …”
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    Evaluation of Water Resources Carrying Capacity in Heilongjiang Province Based on PSO-SVM Model by WANG Tao, LI Zhijun

    Published 2023-01-01
    “…The problem of water resources has triggered a global crisis.With the rapid development of the social economy,the rapid increase in population,and the acceleration of modernization and urbanization,the demand for water in various industries is gradually increasing,and the problems of water shortage and water waste are becoming serious.Heilongjiang Province is an important industrial base and a major grain-producing province in China.With the rapid development of the economy and society,the contradiction between the supply and demand of water resources has become increasingly prominent.Although many measures have been taken to protect water resources in Heilongjiang Province,the development and utilization situation of water resources is still severe.In view of the above problems,this paper established a support vector machine (SVM) model optimized by particle swarm optimization (PSO) algorithm to evaluate the water resources carrying capacity in Heilongjiang Province.Based on the actual situation of Heilongjiang Province,an evaluation index system and index grading standards were established to evaluate the water resources carrying capacity of 13 cities in Heilongjiang Province in 2020.It thus provides a reference for the development and utilization of water resources in the future and plays a certain role in the application and promotion of SVM in water resources.The PSO-SVM model complements the theory of multi-factor comprehensive evaluation.…”
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