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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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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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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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

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Prediction of protein–protein interaction based on interaction-specific learning and hierarchical information by Tao Tang, Taiguang Shen, Jing Jiang, Weizhuo Li, Peng Wang, Sisi Yuan, Xiaofeng Cao, Yuansheng Liu

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Species richness prediction and priority conservation planning for rare Michelia species in China by Jimin Tang, Zhi Chen, Xiaojie Yin, Jiao Teng, Weijie Gao, Yifei Liu, Xiuyu Li

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Prediction of tea leaf characteristics using spectral data and machine learning techniques by Sum Tateh, Suyog Balasaheb Khose, Damodhara Rao Mailapalli, Chandranath Chatterjee, Narendra Singh Raghuwanshi

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