Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy perfor... by Benjamin Blackman, Prushoth Vivekanantha, Rafay Mughal, Ayoosh Pareek, Anthony Bozzo, Kristian Samuelsson, Darren de SA

Subjects: “…Machine learning…”
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Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool by Hatem Ali, Arun Shroff, Tibor Fülöp, Miklos Z. Molnar, Adnan Sharif, Bernard Burke, Sunil Shroff, David Briggs, Nithya Krishnan

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Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data by Dung Nguyen, Peter de Voil, Andries Potgieter, Yash P. Dang, Thomas G. Orton, Duc Thanh Nguyen, Thanh Thi Nguyen, Scott C. Chapman

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The Future of Gaming: How Artificial Intelligence is Revolutionizing the Industry by Dariana Gomez-Alvarez, Michel Lopez-Franco, David Bonilla Carranza, Carlos Lopez-Franco, Lilibet Lopez-Franco

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Machine Learning-Integrated Usability Evaluation and Monitoring of Human Activities for Individuals With Special Needs During Hajj and Umrah by Ghadah Naif Alwakid

Subjects: “…Machine learning…”
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Adoption of Drone Technology for the Smart Safety Mechanism of Women by Victoria Nozick

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Machine learning method based on enhanced CT to predict perineural invasion of rectal cancer by Jiacheng Shen, Long Jin, Shengnan Yin

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Integrating traditional machine learning with qPCR validation to identify solid drug targets in pancreatic cancer: a 5-gene signature study by Xiaoyan Wang, Pengcheng Yu, Wei Jia, Bingbing Wan, Zhougui Ling, Yangyang Tang

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Machine learning‐assisted performance analysis of organic photovoltaics by Sijing Zhong, Jiayi Huang, Hengyu Meng, Zhuo Feng, Qianyue Wang, Zhenyu Huang, Lijie Zhang, Shiwei Li, Weiyang Gong, Yusen Huang, Lei Ying, Ning Li

Subjects: “…machine learning…”
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Efficient model-and-data based channel estimation algorithm by Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI

Subjects: “…machine learning…”
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Dynamics of Cropland Non-Agriculturalization in Shaanxi Province of China and Its Attribution Using a Machine Learning Approach by Huiting Yan, Hao Chen, Fei Wang, Linjing Qiu

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Forecasting insect abundance using time series embedding and machine learning by Gabriel R. Palma, Rodrigo F. Mello, Wesley A.C. Godoy, Eduardo Engel, Douglas Lau, Charles Markham, Rafael A. Moral

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Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning by Ahmad Aldelemy, Raed A. Abd-Alhameed

Subjects: “…Machine Learning…”
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Machine learning-driven power prediction in continuous extrusion of pure titanium for enhanced structural resilience under extreme loading by Ahmed Ghazi Abdulameer, Muhannad M. Mrah, Maryam Bazerkan, Luttfi A. Al-Haddad, Mustafa I. Al-Karkhi

Subjects: “…Machine learning…”
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The value of multiparametric MRI radiomics and machine learning in predicting preoperative Ki-67 expression level in breast cancer by Yan Lu, Long Jin, Ning Ding, Mengjuan Li, Shengnan Yin, Yiding Ji

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Artificial Intelligence–Related Dental Research: Bibliometric and Altmetric Analysis by Wei Lu, Xueqian Yu, Yueyang Li, Yi Cao, Yanning Chen, Fang Hua

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Prognostic prediction for inflammatory breast cancer patients using random survival forest modeling by Yiwei Jia, Chaofan Li, Cong Feng, Shiyu Sun, Yifan Cai, Peizhuo Yao, Xinyu Wei, Zeyao Feng, Yanbin Liu, Wei Lv, Huizi Wu, Fei Wu, Lu Zhang, Shuqun Zhang, Xingcong Ma

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Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

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Machine Learning para la Clasificación y Análisis de los Índices de Biomasa y su relación con el Cambio Climático, Desierto de Atacama by Santos Gómez, Edwin Pino-Vargas, Germán Huayna, Jorge Espinoza-Molina, Karina Acosta-Caipa, Fredy Cabrera-Olivera4

Subjects: “…cambio climático; índices de biomasa; desierto atacama; machine learning.…”
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AI foundation models for experimental fusion tasks by R. Michael Churchill

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