Machine learning-assisted development of gas separation membranes: A review by An Li, Jianchun Chu, Shaoxuan Huang, Yongqi Liu, Maogang He, Xiangyang Liu

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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients by Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak

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PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts by Jordi Armengol-Estapé, Felipe Soares, Montserrat Marimon, Martin Krallinger

Subjects: “…machine learning…”
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Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

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Immunoinfiltration Analysis of Mitochondrial Damage‐Related Genes in Lung Adenocarcinoma and Construction of a Classification and Prognostic Model Integrated With WGCNA and Machine... by Jirong Zhang, Lin Lin

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A novel machine learning approach for portfolio optimization by Saman Haratizadeh, Fatemeh Rezaee

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Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach by Reza Saberisani, Amir Hossein Barati, Mostafa Zarei, Paulo Santos, Armin Gorouhi, Luca Paolo Ardigò, Hadi Nobari

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Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score by Mike Nsubuga, Timothy Mwanje Kintu, Helen Please, Kelsey Stewart, Sergio M. Navarro

Subjects: “…Machine learning…”
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The Real-Time Prediction of Cracks and Wrinkles in Sheet Metal Forming According to Changes in Shape and Position of Drawbeads Based on a Digital Twin by Sarang Yi, Daeil Hyun, Seokmoo Hong

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Simplified Outcome Prediction in Patients Undergoing Transcatheter Tricuspid Valve Intervention by Survival Tree-Based Modelling by Vera Fortmeier, MD, Mark Lachmann, MD, Lukas Stolz, MD, Jennifer von Stein, MD, Karl-Philipp Rommel, MD, Mohammad Kassar, MD, Muhammed Gerçek, MD, Anne R. Schöber, MD, Thomas J. Stocker, MD, Hazem Omran, MD, Michelle Fett, Jule Tervooren, Maria I. Körber, MD, Amelie Hesse, Gerhard Harmsen, PhD, Kai Peter Friedrichs, MD, Shinsuke Yuasa, MD, PhD, Tanja K. Rudolph, MD, Michael Joner, MD, Roman Pfister, MD, Stephan Baldus, MD, Karl-Ludwig Laugwitz, MD, Stephan Windecker, MD, Fabien Praz, MD, Philipp Lurz, MD, Jörg Hausleiter, MD, Volker Rudolph, MD

Subjects: “…machine learning…”
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Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique by Rafael F. Pinheiro, Maria P. Guarino, Marlene Lages, Rui Fonseca-Pinto

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Adoption of machine learning in streamlining maintenance strategies for effective operations in automotive industries by Aniekan Ikpe, Imoh Ekanem

Subjects: “…machine learning…”
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An outlook on structural biology after AlphaFold: tools, limits and perspectives by Serena Rosignoli, Maddalena Pacelli, Francesca Manganiello, Alessandro Paiardini

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Identification of key genes associated with oxidative stress in ischemic stroke via bioinformatics integrated analysis by Gaiyan Li, Yu Cheng, Shanshan Ding, Qianyun Zheng, Lanqiong Kuang, Ying Zhang, Ying Zhou

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La machine à vapeur dans l’aérostation au XIXe siècle by Molveau, Jean

Subjects: “…Machine à vapeur…”
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Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the... by Ali Omidkar, Razieh Es'haghian, Hua Song

Subjects: “…machine learning model…”
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Forging the future of nanotechnology: embracing greener practices for a resilient today and a sustainable tomorrow by Ankita Rajendra Parab, Ayyagari Ramlal, Ayyagari Ramlal, Subash C. B. Gopinath, Subash C. B. Gopinath, Subash C. B. Gopinath, Subash C. B. Gopinath, Sreeramanan Subramaniam, Sreeramanan Subramaniam, Sreeramanan Subramaniam, Sreeramanan Subramaniam

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Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI by Fei Peng, Jiaxiang Xia, Fandong Zhang, Shiyu Lu, Hao Wang, Jiashu Li, Xinmin Liu, Yao Zhong, Jiahuan Guo, Yonghong Duan, Binbin Sui, Chuyang Ye, Yi Ju, Shuai Kang, Yizhou Yu, Xin Feng, Xingquan Zhao, Rui Li, Aihua Liu

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Victorian and Edwardian Virtual Reality: from Stoker to Forster by Catherine Lanone

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SURVEY OF MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING. ALGORITHMS AND TECHNOLOGIES by Marius Eremia Vlaicu POPA, Mihai CRUCERU, Bogdan DIACONU

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