First-principles investigation of local atomic environment and its impact on properties in non-equiatomic CoCrFeNi high-entropy alloys by Qingxu Tian, Fuhui Chen, Peter K. Liaw, Yang Tong, Shuying Chen, Fanchao Meng

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Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns by Khaled Megahed

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Development of the algorithm for classifying industries according to the type of intra-factory cooperation of main and auxiliary processes using machine learning by T. V. Malysheva

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The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision-Making by Muhammad Nauman, Ahmad S. Almadhor, Mohammed Albekairi, Ali R. Ansari, Muhammad A. B. Fayyaz, Raheel Nawaz

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Revolutionizing Education: Harnessing Graph Machine Learning for Enhanced Problem-Solving in Environmental Science and Pollution Technology by R. Krishna Kumari

Subjects: “…graph machine learning, environmental science, environmental data analysis, graph theory, pollution technology, sustainable practices…”
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Raman Spectroscopy and Its Application in Fruit Quality Detection by Yong Huang, Haoran Wang, Huasheng Huang, Zhiping Tan, Chaojun Hou, Jiajun Zhuang, Yu Tang

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Computational Methods for Information Processing from Natural Language Complaint Processes—A Systematic Review by J. C. Blandón Andrade, A. Castaño Toro, A. Morales Ríos, D. Orozco Ospina

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Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation by Jamal Hassan Ougahi, John S Rowan

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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

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Covid-19 Verileri için Bayes Ağlari ile Makine Öğrenmesi by Hüseyin Can Yılmaz, Serpil Aktaş

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Enhancing surface integrity of medical Ti–6Al–4V alloy via magnetic field-assisted mass polishing by Rui Gao, Dawei Luo, Yee Man Loh, Chi Fai Cheung, Chen Jiang, Chunjin Wang

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Differentiation between multiple sclerosis and neuromyelitis optic spectrum disorders with multilevel fMRI features: A machine learning analysis by Xiao Liang, Qingwen Zeng, Yanyan Zhu, Yao Wang, Ting He, Lin Wu, Muhua Huang, Fuqing Zhou

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Development of a Neuroevolution Machine Learning Potential of Al-Cu-Li Alloys by Fei Chen, Han Wang, Yanan Jiang, Lihua Zhan, Youliang Yang

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Individualized diagnosis of Parkinson’s disease based on multivariate magnetic resonance imaging radiomics and clinical indexes by Qianqian Ye, Chenhui Lin, Fangyi Xiao, Tao Jiang, Jialong Hou, Yi Zheng, Jiaxue Xu, Jiani Huang, Keke Chen, Jinlai Cai, Jingjing Qian, Weiwei Quan, Yanyan Chen

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A multi-task model for failure identification and GPS assessment in metro trains by Pratik Vinayak Jadhav, Sairam V. A, Siddharth Sonkavade, Shivali Amit Wagle, Preksha Pareek, Ketan Kotecha, Tanupriya Choudhury

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Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data by Vahid Nourani, Ramin Ahmadi, Yongqiang Zhang, Dominika Dąbrowska

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Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models by Lu Li, Huub Hoefsloot, Barbara M. Bakker, David Horner, Morten A. Rasmussen, Age K. Smilde, Evrim Acar

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AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism by Lucindah N. Fry-Nartey, Cyril Akafia, Ursula S. Nkonu, Spencer B. Baiden, Ignatus Nunana Dorvi, Kwasi Agyenkwa-Mawuli, Odame Agyapong, Claude Fiifi Hayford, Michael D. Wilson, Whelton A. Miller, Samuel K. Kwofie

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DC serial arc fault recognition in aircraft using machine learning techniques by Raul Carreira Rufato, Thierry Ditchi, Cyril Van de Steen, Thierry Lebey, Yacine Oussar

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Detection the topics of Facebook posts using text mining with Latent Dirichlet Allocation (LDA) algorithm by Shahlaa Mashhadani

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