Neutrosophic VIKOR Approach for Multi-attribute Group Decision-Making by Hossein Sayyadi Tooranloo, Arezoo Sadat Ayatollah

“…Euclidean distances from the positive and negative ideal solutions are calculated to construct relative closeness coefficients. Lastly, an illustrative example of tablet selection is provided to show the applicability of the proposed VIKOR approach. …”
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Taxonomical implications of fruit and seed morphology in wild species of Diospyros L. (Ebenaceae) in Odisha, Eastern India by Sabita Tudu, Jeevan Kumar Jena, Sifan Priyadarshini, Dr. Sudhansu Sekhar Dash, Dr. Sudam Charan Sahu

“…Twenty (20) taxonomically important morphological characters of fruits and seeds were selected to study the similarity and variations among the taxa. …”
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Determination of Phytotechnological Parameters of the Dense Extract from Peach (<i>Persica vulgaris</i>) Leaves by E. I. Molokhova, L. V. Ivantsova, V. D. Belonogova

“…Experimental studies were carried out to select optimal modes of extraction of flavonoids from peach leaves (extractant, extraction temperature, extraction duration, degree of raw material grinding, hydromodule), which ensure high output of BAS complex into extract.Conclusion. …”
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Quantitatively Distinguishing the Factors Driving Runoff and Sediment Yield Variations in Karst Watersheds by Si Cheng, Xingxiu Yu, Zhenwei Li, Xianli Xu, Kelin Wang

“…To address this issue, the Pearson correlation and random forest were first to select the dominant factors influencing runoff and SY. …”
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Assessing Lightweight Folding UAV Reliability Through a Photogrammetric Case Study: Extracting Urban Village’s Buildings Using Object-Based Image Analysis (OBIA) Method by Junyu Kuang, Yingbiao Chen, Zhenxiang Ling, Xianxin Meng, Wentao Chen, Zihao Zheng

“…The classification accuracy of the three selected algorithms exceeded 80%, with the KNN classifier achieving an accuracy of 91% and a Kappa coefficient of 0.87, which robustly demonstrate the reliability of the UAV data and validate the feasibility of the proposed approach in complex cases. …”
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Mangrove Extraction Algorithm Based on Orthogonal Matching Filter-Weighted Least Squares by Yongze Li, Jin Ma, Dongyang Fu, Jiajun Yuan, Dazhao Liu

“…However, mangroves typically grow in coastal and near-shore areas with complex water colors, where traditional mangrove extraction algorithms face challenges such as unclear region segmentation and insufficient accuracy. …”
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Exploring weighted network backbone extraction: A comparative analysis of structural techniques. by Ali Yassin, Hocine Cherifi, Hamida Seba, Olivier Togni

“…Backbone extraction simplifies complex networks while retaining essential features. …”
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The development and initial validation of IgG4-related disease damage index: a consensus report from Chinese IgG4-RD Consortium by Rong Zhang, Ning Ma, Wen Zhang, Xiaofeng Zeng, Lingli Dong, Yunyun Fei, Mengtao Li, Yan Zhao, Fang Wang, Yanhong Wang, Cheng Zhao, Dingding Zhang, Yunxia Hou, Nan Che, Liwei Lu, Hongsheng Sun, Xiaoping Hong, Zongfei Ji, Yujin Ye, Jingna Li, Linyi Peng, Jiaxin Zhou, Yan-Ying Liu, Shuhong Chi, Changyan Liu, Wenjia Sun, Yamin Lai

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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…The Pearson correlation coefficient between the original OCO-2 SIF data and MODIS GPP stood were at a modest 0.53. …”
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Analysis and comprehensive evaluation of fruit quality of 39 sweet cherry accessions in Shanxi region by HOU Xuan, YIN Kaihua, NIE Guowei, LI Kai, ZHANG Yanan, ZHANG Xiaoping, TIAN Yongqiang

“…Correlation analysis showed that the relationships among various phenotypic traits of different germplasms were close and complex. Cluster analysis divided the 39 sweet cherries into three groups. …”
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Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery by Tarek Berghout, Eric Bechhoefer, Faycal Djeffal, Wei Hong Lim

“…The first part focuses on comprehensive data preprocessing using only feature scaling and selection via random forest (RF) algorithm, streamlining the process by minimizing human intervention while managing data complexity. …”
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Characterization and application of flow heterogeneity in high water cut reservoirs by ZHANG Min, JIN Zhongkang, FENG Xubo

“…Next, various methods for characterizing heterogeneity were compared, and the Lorenz coefficient was selected as a key parameter for characterizing flow heterogeneity. …”
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Aircraft range fuel prediction study based on WPD with IAPO optimized BiLSTM–KAN model by Weizhen Tang, Jie Dai, Yuantai Li

“…Initially, Pearson’s correlation coefficient is employed to select the most significant features. …”
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Salting-Out Assisted Liquid-Liquid Extraction of Cr (VI) from Water Samples before Its Determination by UV-Vis Spectrophotometry by Jote Dame, Feyisa Wedajo, Guyo Jilo Molole, Abera Gure

“…This paper proposes salting-out assisted liquid-liquid extraction for selective extraction of a Cr (VI)-1,5-diphenylcarbazide complex before its determination by UV-Vis spectrophotometry. …”
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Results of study of long-fiber flax’s collection material by the parameters of economically valuable traits by N. S. Koshcheeva, G. A. Batalova, I. V. Lyskova, S. N. Kraeva

“…Stable and plastic traits are selected according to correlation coefficient. Strong “genotype - environment” interactions were expressed by seed productivity, number of bolls and seed per plant; moderate interactions - by productivity of straw and fiber; weak interactions - by plant length, fiber content, 1000-grain mass. …”
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Prediction of Monthly Temperature Over China Based on a Machine Learning Method by Ping Mei, Zixin Yin, Haoyu Wang, Changzheng Liu, Yaoming Liao, Qiang Zhang, Liping Yin

“…We identified three statistical challenges in climate prediction: instability of statistical models, complexity of feature factors, and the nonlinearity of the relationship between predictors and predictands. …”
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Variability in performance of genetic-enhanced DXA-BMD prediction models across diverse ethnic and geographic populations: A risk prediction study. by Yong Liu, Xiang-He Meng, Chong Wu, Kuan-Jui Su, Anqi Liu, Qing Tian, Lan-Juan Zhao, Chuan Qiu, Zhe Luo, Martha I Gonzalez-Ramirez, Hui Shen, Hong-Mei Xiao, Hong-Wen Deng

“…Models based on regression with least absolute shrinkage and selection operator (LASSO), selected based on the coefficient of determination (R2) from a model selection subset of 5,973 individuals from British white population. …”
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Prediction of Ground Subsidence Risk in Urban Centers Using Underground Characteristics Information by Sungyeol Lee, Jaemo Kang, Jinyoung Kim

“…Ground subsidence primarily occurs due to complex factors, such as damage to underground facilities and excavation work, and its occurrence can result in loss of life and damage to property. …”
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Predicting Student Behavior Using a Neutrosophic Deep Learning Model by Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y. Shams, A. A. Salama

“…An intelligent system was designed to assess the difficulty level of preliminary exams and select top-performing advanced students using a Neutrosophic Deep Learning Model. …”
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Media Communications of Executive Power: Assessing Effectiveness by E. A. Bazhenova, M. A. Shirinkina

“…One such measure is the engagement coefficient of users, determined through the online service Popsters.ru. …”
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