Optimizing snow property forecasts over the tibetan plateau through hybrid assimilation of satellite precipitation and water vapor radiances using WRF model configured with Noah-MP by Jing Ren, Chunlin Huang, Jinliang Hou, Ying Zhang, Ling Yang

Subjects: “…Snow properties prediction…”
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Application of artificial neural network in determining the fabric weave pattern by Subrata Das, Keerthana Shanmugaraja

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Identification and verification of diagnostic biomarkers for deep infiltrating endometriosis based on machine learning algorithms by Shanping Shi, Chao Huang, Xiaojian Tang, Hua Liu, Weiwei Feng, Chen Chen

“…By analyzing the GSE141549 dataset from the Gene Expression Omnibus (GEO) database, using bioinformatics methods and three machine learning algorithms (LASSO, Random Forest, and Support Vector Machine), the key feature gene USP14 was identified. …”
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Big Data and AI Algorithms for Sustainable Development Goals: A Topic Modeling Analysis by Prema Nedungadi, Simi Surendran, Kai-Yu Tang, Raghu Raman

“…In energy, AI-driven solutions optimize forecasting, grid management, and renewable integration, while in industry, they bolster infrastructure resilience through innovations like predictive maintenance and automated quality control within Industry 4.0 frameworks. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Additionally, machine learning algorithms such as artificial neural networks, support vector machines, regression trees, ensemble of regression trees, Gaussian process regression, efficient linear regression, and kernel methods are employed to predict power reduction due to soiling and soiling losses across various soiling percentages. …”
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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…In comparison to prior research, the model displayed enhanced prediction accuracy and reliability, attributed to innovations in extracting multi-factor coupling relationships and algorithm choices. …”
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Environmental impacts of economic growth: A STIRPAT analysis using machine learning algorithms by J. Krishnendu, Biswajit Patra

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The Effect of Correction Algorithms on Knee Kinematics and Kinetics during Gait of Patients with Knee Osteoarthritis by Hanna Ulbricht, Meijin Hou, Xiangbin Wang, Jian He, Yanxin Zhang

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FUZZY GEOGRAPHICALLY WEIGHTED CLUSTERING WITH OPTIMIZATION ALGORITHMS FOR SOCIAL VULNERABILITY ANALYSIS IN JAVA ISLAND by Alwan Fadlurohman, Tiani Wahyu Utami, Setiawan Amrullah, Nila Ayu Nur Roosyidah, Oktaviana Rahma Dhani

“…FGWC is an extension of the Fuzzy C-Means algorithm, which involves geographical influences in calculating membership values. …”
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Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…To fill existing gaps, we propose further research on AI-driven hybrid models that integrate real-time data analytics with predictive algorithms, enabling proactive load management in ultra-reliable 5G/6G architectures. …”
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Numerical Study on Zika Epidemic Early Warning Algorithms Driven by Dynamical Network Biomarker by Qingyi Zhan, Zhifang Zhang

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Bridge Deformation Monitoring Combining 3D Laser Scanning with Multi-Scale Algorithms by Dongmei Tan, Wenjie Li, Yu Tao, Baifeng Ji

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Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis by Jingtai Ma, Jingtai Ma, Yiting Fang, Yiting Fang, Shiqi Li, Shiqi Li, Lilian Zeng, Siyi Chen, Zhifeng Li, Guiyuan Ji, Xingfen Yang, Wei Wu, Wei Wu

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Link Prediction Based on the Derivation of Mapping Entropy by Hefei Hu, Yanan Wang, Zheng Li, Yang Tian, Yuemei Ren

“…The algorithms based on topological similarity play an important role in link prediction. …”
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Algorithms for Controlling Industrial Robots in Food Production, Including the Processes of Serialization and Aggregation of Products by Ya. S. Hurskaya

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A County-Level Analysis of the Economic Performance in Romania and Bulgaria Using Hierarchical Algorithms by Alexandra-Nicoleta Ciucu (Durnoi), Camelia Delcea, Kosyo Stoychev

“…Thus, within the current research, Romania and Bulgaria are studied by means of a county-level analysis of the economies of the two states established through the prism of the labor market, the field of health, transport, enterprises, tourism, education, and research. Through eight indicators, a series of maps designed to present the situation of the two states was illustrated, and the investigation continued with a cluster analysis carried out by the implementation of hierarchical algorithms. …”
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Churn prediction for SaaS company with machine learning by Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon

“…Originality/value – By applying machine learning to churn prediction, this study offers valuable insights into the performance and comparative analysis of different algorithms in a real-world SaaS environment. …”
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Artificial Intelligence overview for optimizing production scheduling in a picture framing company by Krupnik-Worek Jadwiga, Skoczypiec Sebastian, Habel Jacek

“…In warehouse planning, AI optimizes inventory placement, automates processes, and enables predictive maintenance. In production, it improves scheduling, predicts machine failures, and personalizes products. …”
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The Influence of Network Structural Preference on Link Prediction by Yongcheng Wang, Yu Wang, Xinye Lin, Wei Wang

“…However, in the social network, link prediction may raise concerns about privacy and security, because, through link prediction algorithms, criminals can predict the friends of an account user and may even further discover private information such as the address and bank accounts. …”
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Machine learning approach for optimizing usability of healthcare websites by Amandeep Kaur, Jaswinder Singh, Satinder Kaur

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