Quantitative insights into the Winnipeg rental sector: A data-driven analytical approach using geographic and property metrics by Lahiru Wickramasinghe, Aditya Jain

Subjects: “…Machine learning…”
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Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences by Zhu Liang, Jiamin Li, Yihan Tang, Yaxuan Zhang, Chunyuan Chen, Siyuan Li, Xuefeng Wang, Xinyan Xu, Ziye Zhuang, Shuyan He, Biao Deng

Subjects: “…Machine learning…”
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Electroencephalographic signatures of migraine in small prospective and large retrospective cohorts by Bihua Bie, Samer Ghosn, Shehryar R. Sheikh, Matheus Lima Diniz Araujo, Reena Mehra, MaryAnn Mays, Carl Y. Saab

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Colloque CHR 2024 : les LLM (large language models) au service des humanités numériques ? by Antonios Lagarias

Subjects: “…machine learning…”
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Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact by Enrique Mondragon-Estrada, Jane W. Newburger, Steven R. DePalma, Martina Brueckner, John Cleveland, Wendy K. Chung, Bruce D. Gelb, Elizabeth Goldmuntz, Donald J. Hagler, Jr., Hao Huang, Patrick McQuillen, Thomas A. Miller, Ashok Panigrahy, George A. Porter, Jr., Amy E. Roberts, Caitlin K. Rollins, Mark W. Russell, Martin Tristani-Firouzi, P. Ellen Grant, Kiho Im, Sarah U. Morton

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Demonstrating a Hybrid Machine Learning Approach for Snow Characteristic Estimation Throughout the Western United States by Hannah Steele, Eric E. Small, Mark S. Raleigh

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A machine learning-based model to predict intravenous immunoglobulin resistance in Kawasaki disease by Yuhan Xia, Yuezhong Huang, Min Gong, Weirong Liu, Yuanhui Meng, Huiyang Wu, Hui Zhang, Hao Zhang, Luyi Weng, Xiao-Li Chen, Huixian Qiu, Xing Rong, Rongzhou Wu, Maoping Chu, Xiu-Feng Huang

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Machine Learning for Community-Acquired Pneumonia Diagnosis Using Routine Clinical and Laboratory Data by Sung Yoon Lim, Eunhye Cho, Bokhee Jung, Jaeyeon Lee, Miyoung Kim, Sooyoung Yoo, Seyoung Jung, Joon Yhup Lee, Sejin Nam, Hyunju Lee, Eu Suk Kim

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Status and opportunities of machine learning applications in obstructive sleep apnea: A narrative review by Matheus Lima Diniz Araujo, Trevor Winger, Samer Ghosn, Carl Saab, Jaideep Srivastava, Louis Kazaglis, Piyush Mathur, Reena Mehra

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A Machine Learning‐Based Model Infers the Sea Surface Velocity of Surface Water and Ocean Topography (SWOT) by Shuyi Zhou, Jihai Dong, Hong Li, Guangjun Xu, Fanghua Xu

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Committee Machine Learning for Electrofacies-Guided Well Placement and Oil Recovery Optimization by Adewale Amosu, Dung Bui, Oluwapelumi Oke, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Najmudeen Sibaweihi, William Ampomah

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Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation by Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels

Subjects: “…machine learning…”
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Дослідження ефективності застосування технології Machine Learning Services в задачах прогнозування by В.В. Федько

Subjects: “…machine learning, сховище даних, sql server, python, machine learning services, продуктивність програми.…”
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A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models by Yawei Yang, Junjie Tang, Liping Ma, Feng Wu, Xiaoqing Guan

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An interpretable stacking machine-learning model to predict the hot torsion flow characteristics of a micro-alloyed steel by Hojjat Emami, Mehdi Shaban Ghazani

Subjects: “…Machine learning…”
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Machine Learning models for heart disease prediction and dietary lifestyle change therapy recommendation: a systematic review by Francis Adoba Ekle, Vincent Shidali, Richard Emoche Ochogwu, Igoche Bernard Igoche

Subjects: “…Machine learning…”
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Enhanced machine learning model for classification of the impact of technostress in the COVID and post-COVID era by Gabriel James, Anietie Ekong, Aloysius Akpanobong, Enefiok Etuk, Saviour Inyang, Samuel Oyong, Ifeoma Ohaeri, Chikodili Orazulume, Peace Okafor

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Design and analysis of quantum machine learning: a survey by Linshu Chen, Tao Li, Yuxiang Chen, Xiaoyan Chen, Marcin Wozniak, Neal Xiong, Wei Liang

Subjects: “…Machine learning…”
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Estimating Rainfall Erosivity in North Korea Using Automated Machine Learning: Insights into Regional Soil Erosion Risks by Jeongho Han, Seoro Lee

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Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data by Abhimanyu Thakur, Pedro Correia Santos Bezerra, Abhishek, Shihao Zeng, Kui Zhang, Werner Treptow, Alexander Luna, Urszula Dougherty, Akushika Kwesi, Isabella R. Huang, Christine Bestvina, Marina Chiara Garassino, Fuyu Duan, Yash Gokhale, Bin Duan, Yin Chen, Qizhou Lian, Marc Bissonnette, Jianpan Huang, Huanhuan Joyce Chen

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