Modeling Climate‐Driven Vegetation Changes Under Contrasting Temperate and Arid Conditions in the Mediterranean Basin by Marco Bianchini, Mohamed Tarhouni, Matteo Francioni, Marco Fiorentini, Chiara Rivosecchi, Jamila Msadek, Abderrazak Tlili, Farah Chouikhi, Marina Allegrezza, Giulio Tesei, Paola Antonia Deligios, Roberto Orsini, Luigi Ledda, Maria Karatassiou, Athanasios Ragkos, Paride D'Ottavio

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Machine Learning Algorithm for Estimating Surface PM2.5 in Thailand by Pawan Gupta, Shanshan Zhan, Vikalp Mishra, Aekkapol Aekakkararungroj, Amanda Markert, Sarawut Paibong, Farrukh Chishtie

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Pushing the boundaries of anticipatory action using machine learning by Alexander Kjærum, Bo S. Madsen

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Multiomics integration unravels genotype‐microbiome interactions shaping the conjunctival transcriptome by Qiaoxing Liang, Guo‐Wang Lin, Xiaohu Ding, Bin Zou, Xiaomin Liu, Jing Li, Yuxin Zhang, Xiaofeng Wen, Lingyi Liang, Jin‐Xin Bei, Mingguang He, Huijue Jia, Lai Wei

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Part B: Innovative Data Augmentation Approach to Boost Machine Learning for Hydrodynamic Purposes—Computational Efficiency by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

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Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model de... by Hayeon Lee, Seung Ha Hwang, Seoyoung Park, Yunjeong Choi, Sooji Lee, Jaeyu Park, Yejun Son, Hyeon Jin Kim, Soeun Kim, Jiyeon Oh, Lee Smith, Damiano Pizzol, Sang Youl Rhee, Hyunji Sang, Jinseok Lee, Dong Keon Yon

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Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete by Maryam Bypour, Mohammad Yekrangnia, Mahdi Kioumarsi

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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

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Role of artificial intelligence in smart grid – a mini review by M. Balamurugan, Kamala Narayanan, N. Raghu, G. B. Arjun Kumar, V. N. Trupti

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Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models by Khabat Khosravi, Aitazaz A. Farooque, Amir Naghibi, Salim Heddam, Ahmad Sharafati, Javad Hatamiafkoueieh, Soroush Abolfathi

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A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma by Jie Zha, Qinwei Chen, Wei Zhang, Hongmei Jing, Jingjing Ye, Huanhuan Liu, Haifeng Yu, Shuhua Yi, Caixia Li, Zhong Zheng, Wei Xu, Zhifeng Li, Zhijuan Lin, Lingyan Ping, Xiaohua He, Liling Zhang, Ying Xie, Feili Chen, Xiuhua Sun, Liping Su, Huilai Zhang, Haiyan Yang, Weili Zhao, Lugui Qiu, Zhiming Li, Yuqin Song, Bing Xu

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Lost circulation intensity characterization in drilling operations: Leveraging machine learning and well log data by Ahmad Azadivash

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Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHAN... by Jiayi Chen

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Using artificial intelligence to optimize anti-seizure treatment and EEG-guided decisions in severe brain injury by Zade Akras, Jin Jing, M. Brandon Westover, Sahar F. Zafar

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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

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A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes by Shuheng Yang, Ralf Weiskirchen, Wenjing Zheng, Xiangxu Hu, Aibiao Zou, Zhiguo Liu, Hualin Wang

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Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA19... by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

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Habitat Distributions and Abundance of Four Wild Herbivores on the Qinghai–Tibetan Plateau: A Review by Tian Qiao, Chiwei Xiao, Zhiming Feng, Junzhi Ye

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Key risk factors of generalized anxiety disorder in adolescents: machine learning study by Yonghwan Moon, Hyekyung Woo, Hyekyung Woo

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