Gesture recognition based on flexible solar cells and ultrathin hydrogel film by Rucheng WU, Wenbo DING, Xiaomin XU, Linqi SONG, Weitao XU

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Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing by Enas Al-khlifeh, Ahmad S. Tarawneh, Khalid Almohammadi, Malek Alrashidi, Ramadan Hassanat, Ahmad B. Hassanat

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Understanding Logical-Shift Error Propagation in Quanvolutional Neural Networks by Marzio Vallero, Emanuele Dri, Edoardo Giusto, Bartolomeo Montrucchio, Paolo Rech

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Artificial Intelligence and the Future of Citizen Science by Lucy Fortson, Kevin Crowston, Laure Kloetzer, Marisa Ponti

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A novel RFE-GRU model for diabetes classification using PIMA Indian dataset by Mahmoud Y. Shams, Zahraa Tarek, Ahmed M. Elshewey

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Prediction of inhibitory peptides against E.coli with desired MIC value by Nisha Bajiya, Nishant Kumar, Gajendra P. S. Raghava

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The energy effect of blockchain technology innovation in the Industry 5.0 Era: From the perspective of carbon emissions by Wang Yunjing, Tian Jinfang, Sun Siyang, Liu Yufei, Ren Xiaoqi

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Multi-Layer Perceptron Model Integrating Multi-Head Attention and Gating Mechanism for Global Navigation Satellite System Positioning Error Estimation by Xiuxun Liu, Zuping Tang, Jiaolong Wei

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Identification of Potential Diagnostic Biomarkers of Carotid Atherosclerosis in Obese Populations by Wu X, Pan J, Pan X, Kang J, Ren J, Huang Y, Gong L, Li Y

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A reliable and privacy-preserved federated learning framework for real-time smoking prediction in healthcare by Siddhesh Fuladi, D. Ruby, N. Manikandan, Animesh Verma, M. K. Nallakaruppan, Shitharth Selvarajan, Shitharth Selvarajan, Shitharth Selvarajan, Preeti Meena, V. P. Meena, Ibrahim A. Hameed

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Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms by Noémie N. Moreau, Noémie N. Moreau, Samuel Valable, Cyril Jaudet, Loïse Dessoude, Leleu Thomas, Romain Hérault, Romain Modzelewski, Romain Modzelewski, Dinu Stefan, Juliette Thariat, Juliette Thariat, Alexis Lechervy, Aurélien Corroyer-Dulmont, Aurélien Corroyer-Dulmont

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Editorial: Smart biomedical signal analysis with machine intelligence by Tilendra Choudhary, Pulakesh Upadhyaya, Mohammad Zavid Parvez, Mohammad Zavid Parvez, Shaik Rafi Ahamed

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Development and validation of a novel artificial intelligence algorithm for precise prediction the postoperative prognosis of esophageal squamous cell carcinoma by Zichen Wang, Zhihan Xiao, Tongyu Zhang, Meiyou Lu, Hai Li, Jing Cao, Jianan Zheng, Yichan Zhou, Juncheng Dai, Cheng Wang, Liang Chen, Jing Xu

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Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

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The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development by Mayur Suresh Gawande, Nikita Zade, Praveen Kumar, Swapnil Gundewar, Induni Nayodhara Weerarathna, Prateek Verma

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UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases by Marco Capó, Silvia Vitali, Georgios Athanasiou, Nicole Cusimano, Daniel García, Garth Cruickshank, Bipin Patel

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Potential Biomarkers for Predicting the Risk of Developing Into Long COVID After COVID‐19 Infection by Zhiyong Hou, Yu Ming, Jun Liu, Zhong Wang

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Brain CT image classification based on mask RCNN and attention mechanism by Shoulin Yin, Hang Li, Lin Teng, Asif Ali Laghari, Ahmad Almadhor, Michal Gregus, Gabriel Avelino Sampedro

Subjects: “…Machine learning…”
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Utilizing deterministic smart tools to predict recovery factor performance of smart water injection in carbonate reservoirs by Ali Maghsoudian, Amin Izadpanahi, Zahra Bahmani, Amir Hossein Avvali, Ali Esfandiarian

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Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learning by Yunqing Zhu, Yicheng Cao, Lijun Peng, Qian Yu, Zhen Yang, Zengde Li, Junsheng Wu, Haofeng Xie

Subjects: “…Machine learning…”
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