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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Using Data-Driven Computer Vision Techniques to Improve Wheat Yield Prediction by Merima Smajlhodžić-Deljo, Madžida Hundur Hiyari, Lejla Gurbeta Pokvić, Nejra Merdović, Faruk Bećirović, Lemana Spahić, Željana Grbović, Dimitrije Stefanović, Ivana Miličić, Oskar Marko

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Risk prediction method for power Internet of Things operation based on ensemble learning by Chao Hong, Xiaoyun Kuang, Yiwei Yang, Yixin Jiang, Yunan Zhang

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Using social presence theory to predict online consumer engagement in the emerging markets by Abraham Yeboah, Ofosu Agyekum, Vida Owusu-Prempeh, Kwadwo Boateng Prempeh

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Comprehensive evaluation of AlphaMissense predictions by evidence quantification for variants of uncertain significance by Amina Kurtovic-Kozaric, Lejla Delalic, Belma Mutapcic, Lejla Comor, Eric Siciliano, Mark J. Kiel

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Enhancing bathymetric prediction by integrating gravity and gravity gradient data with deep learning by Junhui Li, Nengfang Chao, Nengfang Chao, Houpu Li, Gang Chen, Gang Chen, Shaofeng Bian, Zhengtao Wang, Aoyu Ma

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Improved enzyme functional annotation prediction using contrastive learning with structural inference by Yuxin Yang, Abby Jerger, Song Feng, Zixu Wang, Christina Brasfield, Margaret S. Cheung, Jeremy Zucker, Qiang Guan

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Phenotyping, genome‐wide dissection, and prediction of maize root architecture for temperate adaptability by Weijun Guo, Fanhua Wang, Jianyue Lv, Jia Yu, Yue Wu, Hada Wuriyanghan, Liang Le, Li Pu

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Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks. by Petros-Pavlos Ypsilantis, Musib Siddique, Hyon-Mok Sohn, Andrew Davies, Gary Cook, Vicky Goh, Giovanni Montana

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Teachers’ demographics, mindfulness skills, and anxiety predict COVID-19 vaccination status by Summer S. Braun, Avery K. Westbrooks, Zachary T. Schornick, Matthew S. Snyder, Theodore S. Tomeny

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Optimising Insider Threat Prediction: Exploring BiLSTM Networks and Sequential Features by Phavithra Manoharan, Wei Hong, Jiao Yin, Hua Wang, Yanchun Zhang, Wenjie Ye

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Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil by Rafael Felippe Ratke, Paulo Roberto Nunes Viana, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana, Carlos Eduardo da Silva Santos, Alan Mario Zuffo, Jorge González Aguilera

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