Wildfire Smoke Demonstrates Significant and Predictable Black Carbon Light Absorption Enhancements by James E. Lee, Kyle Gorkowski, Aaron G. Meyer, Katherine B. Benedict, Allison C. Aiken, Manvendra K. Dubey

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The Development of an Evidence-Based App to Predict the Need for Enhanced Care for People with Dementia by Sabina London, Shanquan Chen, Emad Sidhom, Christoph Mueller, Benjamin Underwood

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Dynamic Graph-Based Clustering for Non-Stationary Spatio-Temporal Event Prediction by Vasavi M., Murugan A., Sharma K. Venkatesh

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Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters by Signe Ulfbeck Schovsbo, Michael Charles Sachs, Margit Kriegbaum, Anne Ahrendt Bjerregaard, Line Tang Møllehave, Susanne Hansen, Bent Struer Lind, Tora Grauers Willadsen, Allan Linneberg, Christen Lykkegaard Andersen, Line Lund Kårhus

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An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results by Anthony Yazdani, Alban Bornet, Philipp Khlebnikov, Boya Zhang, Hossein Rouhizadeh, Poorya Amini, Douglas Teodoro

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Developing an explainable deep learning module based on the LSTM framework for flood prediction by Zhi Zhang, Dagang Wang, Yiwen Mei, Jinxin Zhu, Xusha Xiao

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Prediction of 1 and 2 week nonelective hospitalization and sepsis hospitalization risk in adults by Vincent X. Liu, Gabriel J. Escobar, Liam O’Suilleabhain, Khanh K. Thai, David Schlessinger, Laura C. Myers, John D. Greene, Fernando Barreda, Lawrence D. Gerstley, Patricia Kipnis

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A Technique to Predict Bankruptcy Using Ultimate Ownership Network as Key Indicators by Dyah Sulistyowati Rahayu, Zaäfri Ananto Husodo, Jan Pidanic, Xue Li, Heru Suhartanto

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Programming Languages Prediction from Stack Overflow Questions Using Deep Learning by Razowana Khan Mim, Tapu Biswas

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A participatory approach to deploy responsible artificial intelligence for diabetes prediction and prevention by Laura C Rosella, James Shaw, Shion Guha, Ibukun-Oluwa Omolade Abejirinde, Jennifer L Gibson, Lorraine Lipscombe, Kathy Kornas, Remziye Zaim, Victoria Chui, Ijeoma Uchenna Itanyi

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Prediction and identification of sequences coding for orphan enzymes using genomic and metagenomic neighbours by Takuji Yamada, Alison S Waller, Jeroen Raes, Aleksej Zelezniak, Nadia Perchat, Alain Perret, Marcel Salanoubat, Kiran R Patil, Jean Weissenbach, Peer Bork

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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

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A Framework for User Traffic Prediction and Resource Allocation in 5G Networks by Ioannis Konstantoulas, Iliana Loi, Dimosthenis Tsimas, Kyriakos Sgarbas, Apostolos Gkamas, Christos Bouras

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Global burden and trends of self-harm from 1990 to 2021, with predictions to 2050 by Li Xie, Liangchen Tang, Yixin Liu, Zhenchao Dong, Xiaojun Zhang

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Multi-fidelity graph neural networks for predicting toluene/water partition coefficients by Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, Kai Leonhard

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Unlocking the potential of wearable technology: Fitbit-derived measures for predicting ADHD in adolescents by Muhammad Mahbubur Rahman, Muhammad Mahbubur Rahman

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FACTORS PREDICTING COMMUNITY SUPPORT: THE CASE OF A SOUTH AFRICAN ARTS FESTIVAL by I. LOOTS, SURIA ELLIS, ELMARIE SLABBERT

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Development and assessment of a machine learning tool for predicting emergency admission in Scotland by James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett

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Research and application of rock fracturing pressure prediction method for deep oil reservoirs by Yanlin Zhang, Yang Tian, Lina Sun, Zhufeiye Yuan, Yi Wang

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Integrating evolutionary algorithms and enhanced-YOLOv8 + for comprehensive apple ripeness prediction by Yuchi Li, Zhigao Wang, Aiwei Yang, Xiaoqi Yu

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