A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

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AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects by Soha G. Ahmed, Katrien Verbert, Nazar Zaki, Ashraf Khalil, Hamad Aljassmi, Fady Alnajjar

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EMS3D-KITTI: Synthetic 3D dataset in KITTI format with a fair distribution of Emergency Medical Services vehicles for autodrive AI model trainingZenodo by Chandra Jaiswal, Sally Acquaah, Christopher Nenebi, Issa AlHmoud, AKM Kamrul Islam, Balakrishna Gokaraju

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AI Thinking: a framework for rethinking artificial intelligence in practice by Denis Newman-Griffis

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AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

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Integrated Approach for Biomarker Discovery and Mechanistic Insights into the Co-Pathogenesis of Type 2 Diabetes Mellitus and Non-Hodgkin Lymphoma by Zhu Y, Liu J, Wang B

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Automated Computer Vision System for Urine Color Detection by Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera

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Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh by Md. Mahmudul Hasan, Md. Talha, Most. Mitu Akter, Md Tasim Ferdous, Pratik Mojumder, Sujit Kumar Roy, N.M. Refat Nasher

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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

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Predictive model of acute kidney injury in critically ill patients with acute pancreatitis: a machine learning approach using the MIMIC-IV database by Shengwei Lin, Wenbin Lu, Ting Wang, Ying Wang, Xueqian Leng, Lidan Chi, Peipei Jin, Jinjun Bian

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Declining suitability for conversion of drylands to paddy fields in Northeast China: Impact of future climate and socio-economic changes by Jiacheng Qian, Huafu Zhao, Xiaoxiao Wang, Tao Wang, Zhe Feng, Congjie Cao, Xiao Li, Aihui Zhang

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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

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Modeling Ring Current Proton Fluxes Using Artificial Neural Network and Van Allen Probe Measurements by Jinxing Li, Jacob Bortnik, Xiangning Chu, Donglai Ma, Sheng Tian, Chih‐Ping Wang, Jerry W. Manweiler, Louis J. Lanzerotti

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Promoting Agency Among Upper Elementary School Teachers and Students with an Artificial Intelligence Machine Learning System to Score Performance-Based Science Assessments by Fatima Elvira Terrazas-Arellanes, Lisa Strycker, Giani Gabriel Alvez, Bailey Miller, Kathryn Vargas

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Comparison of simulating visibility using XGBoost and IMPROVE method: a case study in East China by Xin Zhang, Yue Wang, Zibo Zhuang, Yuxi Liu, Chengduo Yuan, Lei Su, Jingyuan Shao, Pak-Wai Chan

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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

Subjects: “…machine learning…”
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Bringing Motor Imagery BCI systems outside of the laboratory into daily activities by Sonal Santosh Baberwal, Shirley Coyle

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Immunomodulatory insights of monoterpene glycosides in endometriosis: immune infiltration and target pathways analysis by Jin Zhan, Jiajie Wu

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Mapping Canada’s Green Economic Pathways for Battery Minerals: Balancing Prospectivity Modelling With Conservation and Biodiversity Values by Christopher J. M. Lawley, Matthew G. E. Mitchell, Diana Stralberg, Richard Schuster, Eliot McIntire, Joseph R. Bennett

Subjects: “…machine learning…”
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