Explainable machine learning framework for cataracts recognition using visual features by Xiao Wu, Lingxi Hu, Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Jiang Liu

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Machine learning models and methods for solving optimization and forecasting problems of the work of seaports by M. N. Lukashevich, M. Y. Kovalyov

Subjects: “…machine learning…”
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Comparing multi-texture fibrosis analysis versus binary opacity-based abnormality detection for quantitative assessment of idiopathic pulmonary fibrosis by Sebastian Nowak, Dominik Creuzberg, Maike Theis, Carmen Pizarro, Alexander Isaak, Claus C. Pieper, Julian A. Luetkens, Dirk Skowasch, Alois M. Sprinkart, Daniel Kütting

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Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study by Zijian Zheng, Zijian Zheng, He Wang, Qianxi Chen, Qianxi Chen, Zhicheng Wang, Zhicheng Wang, Jun Fu, Jun Fu, Wenjian Fan, Wenjian Fan, Yuanxiang Lin, Yuanxiang Lin, Dezhi Kang, Dezhi Kang, Dezhi Kang, Changzhen Jiang, Changzhen Jiang, Zhangya Lin, Zhangya Lin, Xiaorong Yan, Xiaorong Yan, Xiaorong Yan

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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

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Enhancing electric vehicle battery lifespan: integrating active balancing and machine learning for precise RUL estimation by Yara A. Sultan, Abdelfattah A. Eladl, Mohamed A. Hassan, Samah A. Gamel

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Evaluation of Machine Learning Algorithms for Classification of Visual Stimulation-Induced EEG Signals in 2D and 3D VR Videos by Mingliang Zuo, Xiaoyu Chen, Li Sui

Subjects: “…machine learning…”
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Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress) by Ryan M. McGranaghan, Jack Ziegler, Téo Bloch, Spencer Hatch, Enrico Camporeale, Kristina Lynch, Mathew Owens, Jesper Gjerloev, Binzheng Zhang, Susan Skone

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Consumers’ perceptions, preferences and willingness to pay for infant meat puree in China by Xiaoling Yu, Kelin Liu, Yue Cui, Changming Ma, Chaozhi Zhu, Long Xu

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Analyzing factors of daily travel distances in Japan during the COVID-19 pandemic by Masaya Mori, Yuto Omae, Yohei Kakimoto, Makoto Sasaki, Jun Toyotani

Subjects: “…machine learning…”
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A Novel Model Using ML Techniques for Clinical Trial Design and Expedited Patient Onboarding Process by Iyer A, Narayanaswami S

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Mathematical Modeling of Properties and Structures of Crystals: From Quantum Approach to Machine Learning by Grzegorz Matyszczak, Christopher Jasiak, Gabriela Rusinkiewicz, Kinga Domian, Michał Brzozowski, Krzysztof Krawczyk

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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

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PreMevE Update: Forecasting Ultra‐Relativistic Electrons Inside Earth's Outer Radiation Belt by Saurabh Sinha, Yue Chen, Youzuo Lin, Rafael Pires de Lima

Subjects: “…supervised machine learning…”
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An extensive bibliometric analysis of pavement deterioration detection using sensors and machine learning: Trends, innovations, and future directions by Mehmet Rizelioğlu

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Editorial: Recent applications of noninvasive physiological signals and artificial intelligence by Irma N. Angulo, Eduardo Iáñez, Andres Ubeda

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Predicting Sentiments in Spotify Comments: A Comparative Analysis of Machine Learning Models by Filipe Augusto Felix de Queiroz, Igor Barbosa Negreiros, Giovana de Souza, Débora Cordeiro de Sousa, Sílvio Fernando Alves Xavier Júnior

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Machine Learning-Based Prediction of 2 MW Wind Turbine Tower Loads During Power Production Based on Nacelle Behavior by Soichiro Kiyoki, Shigeo Yoshida, Mostafa A. Rushdi

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Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance by Muxiu Yang, Fengzhou Li, Wenfeng Qiu

Subjects: “…Machine learning…”
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