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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Global burn severity in forest ecoregions: trends, climate drivers, and predictive insights by Kang He, Xinyi Shen, Emmanouil Anagnostou

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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 Bioelectrically Enabled Smart Bandage for Accelerated Wound Healing and Predictive Monitoring by Ahmad F. Turki, Aziza R. Alrafiah

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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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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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Genomic insights into oxalate content in spinach: A genome-wide association study and genomic prediction approach by Haizheng Xiong, Kenani Chiwina, Waltram Ravelombola, Yilin Chen, Ibtisam Alatawi, Qun Luo, Theresa Makawa Phiri, Beiquan Mou, Ainong Shi

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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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AI-Driven Drought Monitoring: Advanced Machine Learning Techniques for Early Prediction by Vij Priya, Tiwari Ankita

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Tropical monsoon rainfall can be predicted with lead times up to 10 months by Guanghao Ran, Jun Meng, Jingfang Fan

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Causality-aware graph neural networks for functional stratification and phenotype prediction at scale by Charalampos P. Triantafyllidis, Ricardo Aguas

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A Short-Term Risk Prediction Method Based on In-Vehicle Perception Data by Xinpeng Yao, Nengchao Lyu, Mengfei Liu

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Predicting patent challenges for small-molecule drugs: A cross-sectional study. by Ally Memedovich, Brian Steele, Taylor Orr, Shanzeh Chaudhry, Mina Tadrous, Aaron S Kesselheim, Aidan Hollis, Reed F Beall

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