Seismic Prediction of Shallow Unconsolidated Sand in Deepwater Areas by Jiale Chen, Yingfeng Xie, Tong Wang, Haoyi Zhou, Zhen Zhang, Yonghang Li, Shi Zhang, Wei Deng

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Predicting survival in malignant glioma using artificial intelligence by Wireko Andrew Awuah, Adam Ben-Jaafar, Subham Roy, Princess Afia Nkrumah-Boateng, Joecelyn Kirani Tan, Toufik Abdul-Rahman, Oday Atallah

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Food Sales Prediction Using MLP, RANSAC, and Bagging by Hussam Mezher Merdas, Ayad Hameed Mousa

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Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness by Mouhamadou Lamine NDAO, Genane YOUNESS, Ndèye NIANG, Gilbert SAPORTA

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Enhancing Predictive Maintenance in Mining Mobile Machinery Through a Hierarchical Inference Network by Raul de la Fuente, Luciano Radrigan, Anibal S. Morales

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Feasibility of the Implementation of Tools for Heart Failure Risk Prediction by Michael C. Wang, MD, Bridget Dolan, PharmD, Xiaoning Huang, PhD, Priya M. Freaney, MD, Benjamin H. Freed, MD, Lourdes Vega, PharmD, Nikola Markoski, PharmD, MBA, Amy Wainright, PharmD, Bonnie Kane, BS, RDCS, Laura E. Seegmiller, MPH, Sanjiv J. Shah, MD, Clyde W. Yancy, MD, MSc, Ian J. Neeland, MD, Hongyan Ning, MD, MS, Donald M. Lloyd-Jones, MD, ScM, Sadiya S. Khan, MD, MSc

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Review on Sound-Based Industrial Predictive Maintenance: From Feature Engineering to Deep Learning by Tongzhou Ye, Tianhao Peng, Lidong Yang

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The Predictive Power of Students' Metacognition and Perceptions of Instructional Competencies of Instructors on Academic Life Satisfaction by İbrahim Tuncel, Zeynep Ayvaz-tuncel

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Crowd Evacuation in Stadiums Using Fire Alarm Prediction by Afnan A. Alazbah, Osama Rabie, Abdullah Al-Barakati

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Predicting pain and its association with mortality in patients with stroke by Adam Viktorisson, Aref Haj Hashem, Katharina S Sunnerhagen, Tamar Abzhandadze

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Machine Learning for the Prediction of Thermodynamic Properties in Amorphous Silicon by Nicolás Amigo

“…The MD simulations provided a detailed dataset that captured the atomic-level behavior of the a-Si, which enabled exploration of how thermodynamic factors, such as the cooling rate, temperature, and pressure, affect the material’s density, internal energy, and enthalpy. Machine learning models were trained on this dataset and demonstrated exceptional predictive accuracy with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> values that exceeded 0.95 and minimal root-mean-square errors. …”
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Mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms by Yun Soo Hong, Sergiu Pasca, Wen Shi, Daniela Puiu, Nicole J. Lake, Monkol Lek, Meng Ru, Megan L. Grove, Anna Prizment, Corinne E. Joshu, Elizabeth A. Platz, Eliseo Guallar, Dan E. Arking, Lukasz P. Gondek

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Multifractal based topological characterization of perovskite crystal and predictive analysis on its physical properties by K. Yogalakshmi, D. Easwaramoorthy

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Research on ionospheric parameters prediction based on deep learning by Yuntian FENG, Xia WU, Xiong XU, Rongqing ZHANG

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Artificial intelligence in risk prediction and diagnosis of vertebral fractures by Srikar R. Namireddy, Saran S. Gill, Amaan Peerbhai, Abith G. Kamath, Daniele S. C. Ramsay, Hariharan Subbiah Ponniah, Ahmed Salih, Dragan Jankovic, Darius Kalasauskas, Jonathan Neuhoff, Andreas Kramer, Salvatore Russo, Santhosh G. Thavarajasingam

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Machine Learning-Based Prediction of No-Show Telemedicine Encounters by C. Mahony Reategui-Rivera, Wanting Cui, Stefan Escobar-Agreda, Leonardo Rojas-Mezarina, Joseph Finkelstein

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Prediction Intervals for the Failure Time of Prestressed Concrete Beams by Sebastian Szugat, Jens Heinrich, Reinhard Maurer, Christine H. Müller

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Significance of Theoretical Decomposition Enthalpies for Predicting Thermal Hazards by Didier Mathieu

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Androgen receptor positive triple negative breast cancer: Clinicopathologic, prognostic, and predictive features. by Kristine Astvatsaturyan, Yong Yue, Ann E Walts, Shikha Bose

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Exploring the predictive values of SERP4 and FRZB in dilated cardiomyopathy based on an integrated analysis by Bin Qi, Hai-Yan Wang, Xiao Ma, Yu-Feng Chi, Chun Gui

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