A novel machine learning approach for portfolio optimization by Saman Haratizadeh, Fatemeh Rezaee

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Machine learning-based forecasting of ground surface settlement induced by metro shield tunneling construction by Qiankun Wang, Chuxiong Shen, Chao Tang, Zeng Guo, Fangqi Wu, Wenyi Yang

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Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach by Reza Saberisani, Amir Hossein Barati, Mostafa Zarei, Paulo Santos, Armin Gorouhi, Luca Paolo Ardigò, Hadi Nobari

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Improving Performance of Real-Time Object Detection in Edge Device Through Concurrent Multi-Frame Processing by Seunghwan Kim, Changjong Kim, Sunggon Kim

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Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score by Mike Nsubuga, Timothy Mwanje Kintu, Helen Please, Kelsey Stewart, Sergio M. Navarro

Subjects: “…Machine learning…”
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The Real-Time Prediction of Cracks and Wrinkles in Sheet Metal Forming According to Changes in Shape and Position of Drawbeads Based on a Digital Twin by Sarang Yi, Daeil Hyun, Seokmoo Hong

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Simplified Outcome Prediction in Patients Undergoing Transcatheter Tricuspid Valve Intervention by Survival Tree-Based Modelling by Vera Fortmeier, MD, Mark Lachmann, MD, Lukas Stolz, MD, Jennifer von Stein, MD, Karl-Philipp Rommel, MD, Mohammad Kassar, MD, Muhammed Gerçek, MD, Anne R. Schöber, MD, Thomas J. Stocker, MD, Hazem Omran, MD, Michelle Fett, Jule Tervooren, Maria I. Körber, MD, Amelie Hesse, Gerhard Harmsen, PhD, Kai Peter Friedrichs, MD, Shinsuke Yuasa, MD, PhD, Tanja K. Rudolph, MD, Michael Joner, MD, Roman Pfister, MD, Stephan Baldus, MD, Karl-Ludwig Laugwitz, MD, Stephan Windecker, MD, Fabien Praz, MD, Philipp Lurz, MD, Jörg Hausleiter, MD, Volker Rudolph, MD

Subjects: “…machine learning…”
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Assessing the strength of lime-treated clayey soil reinforced with PET: A ML-based data-derived approach by Javadreza Vahedi, Mehdi Koohmishi

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Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique by Rafael F. Pinheiro, Maria P. Guarino, Marlene Lages, Rui Fonseca-Pinto

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Adoption of machine learning in streamlining maintenance strategies for effective operations in automotive industries by Aniekan Ikpe, Imoh Ekanem

Subjects: “…machine learning…”
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An outlook on structural biology after AlphaFold: tools, limits and perspectives by Serena Rosignoli, Maddalena Pacelli, Francesca Manganiello, Alessandro Paiardini

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Identification of key genes associated with oxidative stress in ischemic stroke via bioinformatics integrated analysis by Gaiyan Li, Yu Cheng, Shanshan Ding, Qianyun Zheng, Lanqiong Kuang, Ying Zhang, Ying Zhou

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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

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UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods by Minghu Zhao, Dashuai Wang, Qing Yan, Zhuolin Li, Xiaoguang Liu

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Interpretable machine learning for predicting sepsis risk in emergency triage patients by Zheng Liu, Wenqi Shu, Teng Li, Xuan Zhang, Wei Chong

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Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the... by Ali Omidkar, Razieh Es'haghian, Hua Song

Subjects: “…machine learning model…”
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Forging the future of nanotechnology: embracing greener practices for a resilient today and a sustainable tomorrow by Ankita Rajendra Parab, Ayyagari Ramlal, Ayyagari Ramlal, Subash C. B. Gopinath, Subash C. B. Gopinath, Subash C. B. Gopinath, Subash C. B. Gopinath, Sreeramanan Subramaniam, Sreeramanan Subramaniam, Sreeramanan Subramaniam, Sreeramanan Subramaniam

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Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI by Fei Peng, Jiaxiang Xia, Fandong Zhang, Shiyu Lu, Hao Wang, Jiashu Li, Xinmin Liu, Yao Zhong, Jiahuan Guo, Yonghong Duan, Binbin Sui, Chuyang Ye, Yi Ju, Shuai Kang, Yizhou Yu, Xin Feng, Xingquan Zhao, Rui Li, Aihua Liu

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Utilising AI technique to identify depression risk among doctoral students by Changhong Teng, Chunmei Yang, Qiushi Liu

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APPLICATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN ACADEMIC LIBRARIES by Adedeji Daniel GBADEBO

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