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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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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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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Assessing artificial intelligence ability in predicting hospitalization duration for pleural empyema patients managed with uniportal video-assisted thoracoscopic surgery: a retrosp... by Issa Alnajjar, Baraa Alshakarnah, Tasneem AbuShaikha, Tareq Jarrar, Abed Al-Raheem Ozrail, Yousef Abu Asbeh

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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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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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The interplay between executive functions and updating predictive representations by Felipe Pedraza, Teodóra Vékony, Bence C. Farkas, Frederic Haesebaert, Romane Phelipon, Imola Mihalecz, Karolina Janacsek, Barbara Tillmann, Royce Anders, Gaën Plancher, Dezso Nemeth

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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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Prediction of permissioned blockchain performance for resource scaling configurations by Seungwoo Jung, Yeonho Yoo, Gyeongsik Yang, Chuck Yoo

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Numerical Prediction of Hydromechanical Behaviour of Controllable Pitch Propeller by Saman Tarbiat, Hassan Ghassemi, Manouchehr Fadavie

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A Method for Predicting Efficiency of Perforated Muzzle Brakes by Marta CZYŻEWSKA, Radosław TRĘBIŃSKI

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Mechanisms and spatial spillover effects of science and technology financial ecosystem on carbon emission reduction from multiple perspectives: evidence from China by Jinyue Zhang, Zhenglin Sun

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Oral microbiota signature predicts the prognosis of colorectal carcinoma by Shi-Hao Zhou, Yan Du, Wen-Qiong Xue, Min-Jun He, Ting Zhou, Zhi-Yang Zhao, Lu Pei, Yi-Wei Chen, Jin-Ru Xie, Chang-Ling Huang, Yong-Qiao He, Tong-Min Wang, Ying Liao, Wei-Hua Jia

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Predicting anxiety using Google and Youtube digital traces by Joshua Rochotte, Aniket Sanap, Vincent Silenzio, Vivek K. Singh

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