Identification of cell chemistries in lithium-ion batteries: Improving the assessment for recycling and second-life by Christopher Wett, Jörg Lampe, Dominik Görick, Thomas Seeger, Bugra Turan

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Predicting mechanical properties of bainitic rail steels based on microstructure digitalization and machine learning by L.Q. Bai, Z.Y. Ding, J.L. Wang, Z.J. Xie, Z.N. Yang, C.J. Shang

Subjects: “…Machine learning…”
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Fourier Transformation-Based Analysis of X-Ray Diffraction Pattern of Keratin for Cancer Detection by Alexander Alekseev, Oleksii Avdieiev, Sasha Murokh, Delvin Yuk, Alexander Lazarev, Daizie Labelle, Lev Mourokh, Pavel Lazarev

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Estimating Intelligence Quotient Using Stylometry and Machine Learning Techniques: A Review by Glory O. Adebayo, Roman V. Yampolskiy

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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan by John Karongo, Joseph Ivivi Mwaniki, John Ndiritu, Victor Mokaya

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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

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Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms by Sobhan Maleky, Maryam Faraji, Majid Hashemi, Akbar Esfandyari

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Domain‐Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach by Marlene Tahedl, Ulrich Bogdahn, Bernadette Wimmer, Dennis M. Hedderich, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler

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Generation and study of the synthetic brain electron microscopy dataset for segmentation purpose by N.A. Sokolov, E.P. Vasiliev, A.A. Getmanskaya

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Mathematical model of working processes of piston hybrid power machine of volumetric action with reduced fluctuations of gas pressure in discharge line by V. E. Scherba, A. V. Grigor’ev, A. V. Zanin

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Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering by Aya Fujiwara, Sunao Nakanowatari, Yohei Cho, Toshiaki Taniike

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Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence by Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad

Subjects: “…Machine learning…”
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Bearing Response Prediction in Hydrothermal Aged Carbon Fiber Reinforced Epoxy Composite Joints Using Machine Learning Techniques by Mohit Kumar, Govind Vashishtha, Babita Dhiman, Sumika Chauhan

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A Weighted Bayesian Kernel Machine Regression Approach for Predicting the Growth of Indoor-Cultured Abalone by Seung-Won Seo, Gyumin Choi, Ho-Jin Jung, Mi-Jin Choi, Young-Dae Oh, Hyun-Seok Jang, Han-Kyu Lim, Seongil Jo

Subjects: “…weighted Bayesian kernel machine regression…”
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Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review by Hoda Naseri, Ali A. Safaei

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In‐Situ Rheology Measurements via Machine‐Learning Enhanced Direct‐Ink‐Writing by Robert D. Weeks, Jennifer M. Ruddock, J. Daniel Berrigan, Jennifer A. Lewis, James. O. Hardin

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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

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Crop yield prediction through machine learning: A path towards sustainable agriculture and climate resilience in Saudi Arabia by Mohammad M. Islam, Majed Alharthi, Rotana S. Alkadi, Rafiqul Islam, Abdul Kadar Muhammad Masum

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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

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A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS by DRAGOS-ALEXANDRU ANDRIOAIA, VASILE GHEORGHITA GAITAN

Subjects: “…predictive maintenance, PdM, RUL prediction, defect identification, IoT, machine learning…”
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