Optimization of Magnetic Field-Assisted Laser Cladding Based on Hierarchical Analysis and Gray Correlation Method by Long Jiang, Kang Qi, Haitao Zhang, Youliang Yu, Qinpeng Sun

“…Then the comprehensive objective optimization was carried out according to the gray correlation degree. The optimization problem with multiple process objectives was transformed into a single gray correlation degree optimization method to realize the optimization of process objectives and obtain the optimal combination of process parameters. …”
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Analysis of Freeway Safety Influencing Factors on Driving Workload and Performance Based on the Gray Correlation Method by Lian Xie, Chaozhong Wu, Min Duan, Nengchao Lyu

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Sensitive Multispectral Variable Screening Method and Yield Prediction Models for Sugarcane Based on Gray Relational Analysis and Correlation Analysis by Shimin Zhang, Huojuan Qin, Xiuhua Li, Muqing Zhang, Wei Yao, Xuegang Lyu, Hongtao Jiang

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Research on correlation analysis and multivariate nonlinear regression modeling method for the tensile properties of mugwort petiole by Siqi Wang, Xinyu Hu, Rui Lu, Shuang Yan, Yunling Li, Daode Zhang

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Research on Reducing Regional Outage Loss Based on Entropy Weight-Gray Correlation Analysis by Jun HAN, Wenhua HAN, Xi CHEN, Na WANG, Qianqian CHE, Xiaoyan SU

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Comprehensive Evaluation Indexes Framework and Evaluation Method for Transmission Planning of Wind Power Cluster by Shuai XIAO, Yan ZHANG, De ZHANG, Haifeng YU, Mengjiao LI

“…And then, with a comprehensive consideration of subjective weights and the objective weights, the moment estimation theory-based optimal combination weighting method is used to determine the optimal combination weight of each index, and an improved gray relational analysis method is proposed through combination of gray correlation analysis and cosine sorting method, to evaluate each scheme more accurately and reasonably. …”
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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…To enhance adaptability, a genetic algorithm dynamically optimizes the time response parameters of the grey model, overcoming the limitation of a fixed structure in traditional methods. The improved model achieves an average absolute percentage error reduction of 2.04 % compared to the original gray Markov model. …”
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Research on Comprehensive Evaluation Method of High Reliability Wiring Mode for Medium Voltage Distribution Network by Jun HAN, Zhenjian XIE, Lu GENG, Hua QIN, Xi CHEN, Na WANG

“…Secondly, the DEATEL-ANP-anti-entropy weight method and improved gray correlation method are used to determine the weights of each evaluation indicator. …”
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Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis by Ke MAN, Zongxu LIU, Yan SHANG, Zhifei SONG, Xiaoli LIU, Bao SU

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An Improved Method for TOC Calculation in Lacustrine Sediments by GUAN Qianqian, JIANG Long, CHENG Ziyan, ZHANG Diandong, ZHANG Fan

“…Taking Boxing sag and Lijin sag of Jiyang depression in the study area as an example, the correlation coefficient between TOC and measured values predicted by the improved ΔlogR method under lacustrine sedimentary background is about 90% through lithology correction. …”
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Study on correlation of macro and microstructural parameters of hollowcylindrical grey sandstone based on PFC3D by Yue JIANG, Wendong ZOU

“…In order to provide an effective numerical simulation method to reveal the damage mechanism study of surrounding rock under the combination of the change of principal stress value and the rotation of the stress principal axis from the fine-scale level, based on the uniaxial compression and conventional triaxial compression test characteristics of hollow cylindrical gray sandstone, the sensitivity of the macro fine-scale parameters of the parallel bonding model in the discrete element software PFC3D was studied by using the one-factor analysis method, the response surface analysis method, and the regression analysis method, respectively. characteristics of the parallel bonding model in the discrete element software PFC3D. …”
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MRI-based differentiation of Parkinson's disease by cerebellar gray matter volume by Dacong Zhao, Jiang Guo, Guanghua Lu, Rui Jiang, Chao Tian, Xu Liang

“…We observed that the combination of the ICA method and the SVM method produced an improved classification model. …”
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Evaluation of geological engineering factors for productivity of deep CBM well after fracturing based on grey correlation method by KONG Xiangwei,XIE Xin,WANG Cunwu,SHI Xian

“…However, the increase in production after gas well retrofitting has not been ideal and the main factors affecting gas well productivity remain unclear, directly impacting the overall improvement. To address this, the degree of influence of geological and engineering factors on fracturing productivity in coal-bed gas wells is described using the gray correlation method, and the main factors controlling gas well productivity after fracturing are analyzed. …”
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Vulnerability analysis of power grid structure based on complex network theory by Zhichun Yang, Huaidong Min, Jie Zhao, Xuzhu Dong, Fan Yang, Chenhao Wang, Nan Zhang

“…Finally, the gray correlation degree is introduced to improve the ideal solution of the multi-objective decision making method, obtaining the criticality of the grid nodes and then identifying the critical nodes.Results and DiscussionThe example analysis presented in this article shows that the identified critical nodes of the power grid have a high degree of overlap with the identification results of different methods, can better identify edge nodes, and validate the effectiveness of the proposed evaluation indicators and key node identification methods.…”
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Effects of four physiologically active substances on the control of gray mold and fruit quality of blueberries by QIE Mengyu, WEI Jiali, ZHANG Suilin, HU Qipeng, XU Haigen, HOU Zhixia

“…Currently, using natural plant physiological active substances to induce plant resistance against gray mold disease is regarded as a new method for disease control. …”
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Hyperspectral Imaging Combined with Deep Learning for the Early Detection of Strawberry Leaf Gray Mold Disease by Yunmeng Ou, Jingyi Yan, Zhiyan Liang, Baohua Zhang

“…Next, the CARS algorithm was used to extract spectral fingerprint features (17). Pearson correlation analysis combined with the SPA method was used to select five significant vegetation indices. …”
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Research on fuzzy evaluation of ecological safety of land resources in Pearl river Delta area based on DPSIR framework by Weihua Deng, Meng Li, Yanlong Guo

“…The correlation coefficients between the land eco-safety condition in the Pearl River Delta area and the influencing factors were derived using gray correlation analysis (GCA). …”
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Fusion analysis of sMRI-DTI in patients with ulcerative colitis by multimodal CCA + joint ICA and associated neurotransmitter profiles by Chengxiang Liu, Zi Wei, Jian Tang, Yintao Liu, Jingdong Lu, Yujia Li, Xin Liu, Peng Liu, Fenrong Chen

“…Methods Thirty-four UC patients and 21 healthy controls (HCs) participated in structural magnetic resonance imaging and diffusion tensor imaging scans. …”
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Study on the Influence of Fiber Parameters on the Mechanical Properties of Self-Compacting Concrete by Yu Zhao, Nan Ru, Jun Wang, Yong Li, Yi Zhou

“…A multi-indicator comprehensive evaluation model of compressive strength, flexural strength, and elastic modulus was established using an improved entropy-weighted TOPSIS method. Gray relational analysis was integrated to reveal nonlinear correlation patterns between fiber parameters (the volume fraction and aspect ratio) and mechanical responses. …”
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A new method for determining factors Influencing productivity of deep coalbed methane vertical cluster wells by HUANG Li, XIONG Xianyue, WANG Feng, SUN Xiongwei, ZHANG Yixin, ZHAO Longmei, SHI Shi, ZHANG Wen, ZHAO Haoyang, JI Liang, DENG Lin

“…Engineering factors were found to have a significant impact on gas well productivity and cannot be overlooked. This method leverages the advantages of multiple machine-learning algorithms, demonstrating strong operability and improving the accuracy of CBM dynamic predictions. …”
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