Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients by Thomas Meredith, Thomas Meredith, Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Jason Kovacic, Jason Kovacic, Jason Kovacic, Michael Feneley, Michael Feneley, Michael Feneley, Christopher Hayward, Christopher Hayward, Christopher Hayward, David Muller, David Muller, David Muller, Mayooran Namasivayam, Mayooran Namasivayam, Mayooran Namasivayam

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Leveraging Advanced NLP Techniques and Data Augmentation to Enhance Online Misogyny Detection by Alaa Mohasseb, Eslam Amer, Fatima Chiroma, Alessia Tranchese

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Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

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Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

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Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Appro... by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

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Variational Approaches for Drug-Disease-Gene Links in Periodontal Inflammation by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Musab Hamed Saeed, Carlos M. Ardila

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Machine learning-assisted prediction of durability behavior in pultruded fiber-reinforced polymeric (PFRP) composites by Ammar A. Alshannaq, Mohammad F. Tamimi, Muath I. Abu Qamar

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Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain by Mohammad Barzegar, Aliakbar Hasani

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Elucidating epigenetic landscape of gastric premalignant lesions through genome‐wide mapping of 5‐hydroxymethylcytosines: A 12‐year median follow‐up study by Zhongguang Luo, Wenshuai Li, Wanwei Zheng, Yixiang Shi, Maolin Ye, Xiangyu Guo, Kaiyi Fu, Changsheng Yan, Bowen Wang, Bin Lv, Shaocong Mo, Hongyang Zhang, Jun Zhang, Chuan He, Feifei Luo, Wei Zhang, Jie Liu

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Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT by Lal Khan, Atika Qazi, Hsien-Tsung Chang, Mousa Alhajlah, Awais Mahmood

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A novel perspective on survival prediction for AML patients: Integration of machine learning in SEER database applications by Zheng-yi Jia, Maierbiya Abulimiti, Yun Wu, Li-na Ma, Xiao-yu Li, Jie Wang

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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

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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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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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