Effortless alkalinity analysis using AI and smartphone technology, no equipment needed, from freshwater to saltwater by Zachary Y. Han, Zihan Zheng, Alan Y. Han, Huichun Zhang

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Addressing Missing Data in Slope Displacement Monitoring: Comparative Analysis of Advanced Imputation Methods by Seungjoo Lee, Yongjin Kim, Bongjun Ji, Yongseong Kim

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A METHOD OF GENERATING CUSTOMER REQUESTS IN A CAR RENTAL SIMULATION MODEL by Tomasz MATYJA, Zbigniew STANIK, Krzysztof WŁODKOWSKI

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Machine Learning and Multi-Omics Integration to Reveal Biomarkers and Microbial Community Assembly Differences in Abnormal Stacking Fermentation of Sauce-Flavor <i>Baijiu</i> by Shuai Li, Yueran Han, Ming Yan, Shuyi Qiu, Jun Lu

Subjects: “…machine learning…”
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Vulnerability identification technology research based on project version difference by Cheng HUANG, Mingxu SUN, Renyu DUAN, Susheng WU, Bin CHEN

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Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources by Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar

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Machine learning in medicine: what clinicians should know by Jordan Zheng Ting Sim, Qi Wei Fong, Weimin Huang, Cher Heng Tan

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Improving model performance in mapping black-soil resource with machine learning methods and multispectral features by Jianfang Hu, Yulei Tang, Jiapan Yan, Jiahong Zhang, Yuxin Zhao, Zhansheng Chen

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Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning by Ryan Eusebi, Hui Su, Longtao Wu, Pingping Rong, Karthik Balaguru, Ruby Leung, Yong-Sang Choi, Pak Wai Chan, Jianping Gan, Mark DeMaria, Galina Chirokova

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Load balancing based on clustering analysis and deep learning for multi-frequency and multi-mode network by Yaxing QIU, Xidong WANG, Sen BIAN, Lei YUE

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Artificial intelligence is going to transform the field of endocrinology: an overview by Jamal Belkhouribchia

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Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

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Prediction of Cisplatin‐Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information by Kaori Ambe, Yuka Aoki, Miho Murashima, Chiharu Wachino, Yuto Deki, Masaya Ieda, Masahiro Kondo, Yoko Furukawa‐Hibi, Kazunori Kimura, Takayuki Hamano, Masahiro Tohkin

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Towards personalized cardiometabolic risk prediction: A fusion of exposome and AI by Zeinab Shahbazi, Slawomir Nowaczyk

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Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learning by Yiqin Yang, Mei Dong

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Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using Full‐Disk SoHO Images by A. Hu, C. Shneider, A. Tiwari, E. Camporeale

Subjects: “…machine learning…”
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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

Subjects: “…Machine learning…”
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Exploring the influence of age on the causes of death in advanced nasopharyngeal carcinoma patients undergoing chemoradiotherapy using machine learning methods by Mengni Zhang, Shipeng Zhang, Xudong Ao, Lisha Liu, Shunlin Peng

Subjects: “…Machine learning models…”
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Prediction of pulmonary embolism by an explainable machine learning approach in the real world by Qiao Zhou, Ruichen Huang, Xingyu Xiong, Zongan Liang, Wei Zhang

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Detection of Adulteration of Ground Meat by Spectral-based Techniques and Artificial Intelligence (2020-2024) by Amir Kazemi, Asghar Mahmoudi, Mostafa Khojasteh Najand

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