Projected Future Changes in Tropical Cyclones Using the CMIP6 HighResMIP Multimodel Ensemble by Malcolm John Roberts, Joanne Camp, Jon Seddon, Pier Luigi Vidale, Kevin Hodges, Benoît Vannière, Jenny Mecking, Rein Haarsma, Alessio Bellucci, Enrico Scoccimarro, Louis‐Philippe Caron, Fabrice Chauvin, Laurent Terray, Sophie Valcke, Marie‐Pierre Moine, Dian Putrasahan, Christopher D. Roberts, Retish Senan, Colin Zarzycki, Paul Ullrich, Yohei Yamada, Ryo Mizuta, Chihiro Kodama, Dan Fu, Qiuying Zhang, Gokhan Danabasoglu, Nan Rosenbloom, Hong Wang, Lixin Wu

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A new multi objective optimization model for designing a green supply chain network under uncertainty by Mohammad Mahdi Saffar, Hamed Shakouri G., Jafar Razmi

“…Recently, researchers have focused on how to minimize the negative effects of industrial activities on environment. …”
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Missing values imputation using Fuzzy K-Top Matching Value by Azza Ali, Mervat Abu-Elkheir, Ahmed Atwan, Mohammed Elmogy

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Diagnosis Method of Blade Stall Based on Data Distribution for Wind Turbine by YIN Yefeng, ZHANG Jiayou, LOU Bin, CHEN Yanan

“…Fault diagnosis and warning around wind turbines is a widely concerned and researched hotspot in the industry, especially the blade stall faults, which directly affects the power generation efficiency and safety of wind turbines.This paper proposes a method for diagnosing blade stall conditions in wind turbines. …”
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Determination of Fast-Moving Objects’ Speed and Range with Linear Frequency Modulation Continuous Wave Radar Using Autocorrelation Scheme by N. V. Sokolik

“…The proposed algorithm is based on the methods of primary and secondary digital processing of radar signals. …”
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SCUC Considering Loads and Wind Power Forecasting Uncertainties using Binary Gray Wolf Optimization Method by Majid Moazzami, Sayed Jamal Al-Din Hosseini, Hossein Shahinzadeh, Gevork B. Gharehpetian, Jalal Moradi

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Research on Forecasting Sales of Pure Electric Vehicles in China Based on the Seasonal Autoregressive Integrated Moving Average–Gray Relational Analysis–Support Vector Regression M... by Ru Yu, Xiaoli Wang, Xiaojun Xu, Zhiwen Zhang

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Research on Reservoir Identification of Gas Hydrates with Well Logging Data Based on Machine Learning in Marine Areas: A Case Study from IODP Expedition 311 by Xudong Hu, Wangfeng Leng, Kun Xiao, Guo Song, Yiming Wei, Changchun Zou

“…The internal relationship between logging data and hydrate reservoir is analyzed through six ML algorithms. The results show that the constructed ML model performs well in gas hydrate reservoir identification. …”
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Design, Development and Implementation of iALERTS (Informatics Analytics for Long-term Evaluation and Repercussions Tracking of SARS-CoV-2 Infection): A Research Protocol by Krishna Mohan Surapaneni, Manmohan Singhal, Ashish Joshi

“…This platform employs machine learning algorithms to predict the likelihood of PASC development among Coronavirus Disease-19 (COVID-19) survivors. …”
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Circadian clock disruption impairs immune oscillation in chronic endogenous hypercortisolism: a multi-level analysis from a multicentre clinical trialResearch in context by Valeria Hasenmajer, Emilia Sbardella, Francesca Sciarra, Chiara Simeoli, Claudia Pivonello, Filippo Ceccato, Riccardo Pofi, Marianna Minnetti, Flavio Rizzo, Davide Ferrari, Ilaria Bonaventura, Federica Barbagallo, Elisa Giannetta, Danilo Alunni Fegatelli, Simone Conia, Roberto Navigli, Giorgio Arnaldi, Carla Scaroni, Rosario Pivonello, Daniele Gianfrilli, Mary Anna Venneri, Andrea M. Isidori

“…Cosinor mixed effects model, rhythmicity algorithms and machine learning techniques were applied to the multi-level dataset. …”
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Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning studyResearch... by Shaolin Chen, Ting Deng, Qing Yang, Jin Li, Juanyan Shen, Xu Luo, Juan Tang, Xulian Zhang, Jordan Tovera Salvador, Junliang Ma

“…Feature selection involved univariate analysis, collinearity analysis, nine ML algorithms, and expert consensus. Twelve independent ML models and 26 stacking ensemble models were developed. …”
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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…A quasiexperimental research design was employed. Participants were recruited from a calculus course taught at a university in northern Taiwan. …”
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Optimization of anti-MRSA compound production by Streptomyces sp. AR05 using an integrated RSM-ANN-GA approach by Fateh Merouane, Amani Kifadji, Racha Mansouri, Meroua Safa Mechouche, Chemes El-Houda Messaad, Anfal Bellebcir

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Parsimonious mixture of mean-mixture of normal distributions with missing data by Farzane Hashemi, Saeed Darijani

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Application of Machine Learning for Adaptive Trajectory Control of UAVs Under Uncertainty by Alexander S. Ermilov, Olga A. Saltykova

“…The concepts of ML algorithms and the classification of UAVs by purpose, size, and weight are examined. …”
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Effect of Wear-Resistant Tape Layers on Torsional Characteristics of Unbonded Flexible Pipes Under Internal Pressure by LUO Chunmiao, FU Shixiao, ZHANG Mengmeng, CHEN Kunpeng, CUI Xiaoxuan

“…Further sensitivity research shows that the width of the tape layer is positively correlated with the flexible pipe torsion angle, while the tape laying angle is negatively correlated with the overall torsion angle. …”
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Organizational Mechanism for Systematically Attracting New Clients to IT Company Through Social Networks by M. P. Batura, I. V. Marakhina, U. A. Parkhimenko

“…The input data of the mechanism are the type of company, the type of a client, the algorithm of a social network. The mechanism covers the stages of work presented in the AIDA and “Customer journey” models and the use of SMM methods that are implemented at each of the identified stages. …”
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Designing an innovative closed-loop supply chain network considering economic and environmental aspects by Maryam Rahmaty

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Enhanced securities investment strategy using ISSA–SVM: a hybrid model combining adaptive moving average, support vector machine, and multi-strategy sparrow search algorithm for im... by Wei Ni, Qingqing Chen, Xiaochen Guo, Yanan Liu

“…This study proposes a novel hybrid strategy, ISSA–SVM, that combines Adaptive Moving Average (AMA), Support Vector Machine (SVM), and an Improved Sparrow Search Algorithm (ISSA) to enhance CTA model performance in securities investment. …”
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Multi-Objective Optimization Design of Traditional Soil Dwelling Renovation Based on Analytic Hierarchy Process—Quality Function Deployment—Non-Dominated Sorting Genetic Algorithm... by Weiqin Gou, Halike Saierjiang, Jingsu Shang, Mei Yang, Tianyi Zhang

“…A novel multi-objective optimization model (MOP) is introduced, with materials as the central focus, addressing key aspects of engineering, culture, and energy conservation. The NSGA-II algorithm is utilized to generate optimal Pareto solutions, which are then further refined using the entropy-weighted VIKOR method. …”
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