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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Sugarcane acreage estimation using satellite imagery and machine learning by MEGHARANI B. MAYANI, RAJESHWARI L. ITAGI

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Artificial Intelligence and Machine Learning Applications to Pharmacokinetic Modeling and Dose Prediction of Antibiotics: A Scoping Review by Iria Varela-Rey, Enrique Bandín-Vilar, Francisco José Toja-Camba, Antonio Cañizo-Outeiriño, Francisco Cajade-Pascual, Marcos Ortega-Hortas, Víctor Mangas-Sanjuan, Miguel González-Barcia, Irene Zarra-Ferro, Cristina Mondelo-García, Anxo Fernández-Ferreiro

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The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review by Gaoqun Liu, Yufeng Wang, Binda Huang, Wenfeng Ding

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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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Exploring new useful phosphors by combining experiments with machine learning by Takashi Takeda, Yukinori Koyama, Hidekazu Ikeno, Satoru Matsuishi, Naoto Hirosaki

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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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Improving resectable gastric cancer prognosis prediction: A machine learning analysis combining clinical features and body composition radiomics by Gianni S.S. Liveraro, Maria E.S. Takahashi, Fabiana Lascala, Luiz R. Lopes, Nelson A. Andreollo, Maria C.S. Mendes, Jun Takahashi, José B.C. Carvalheira

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Deep Learning Approach for Detecting Audio Deepfakes in Urdu by Marium Mateen

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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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iSKIN: Integrated application of machine learning and Mondrian conformal prediction to detect skin sensitizers in cosmetic raw materials by Weikaixin Kong, Jie Zhu, Peipei Shan, Huiyan Ying, Tongyu Chen, Bowen Zhang, Chao Peng, Zihan Wang, Yifan Wang, Liting Huang, Suzhen Bi, Weining Ma, Zhuo Huang, Sujie Zhu, Xueyan Liu, Chun Li

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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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Exploring Variational Methods in Hydro- and Hemodynamics Through Incompressible Velocity Distribution Sampling by Ivan Stebakov, Alexei Kornaev, Elena Kornaeva, Sergey Majorov

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

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A Secure Deepfake Mitigation Framework: Architecture, Issues, Challenges, and Societal Impact by Mohammad Wazid, Amit Kumar Mishra, Noor Mohd, Ashok Kumar Das

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Imaging of electric-field-induced domain structure in DyMnO $$_{3}$$ 3 nanocrystals by Mansoor A. Najeeb, Robbie Morrison, Ahmed H. Mokhtar, Daniel G. Porter, Frank Lichtenberg, Alessandro Bombardi, Marcus C. Newton

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Flood Image Classification using Convolutional Neural Networks by Olusogo Julius Adetunji, Ibrahim Adepoju Adeyanju, Adebimpe Omolayo Esan, Adedayo Aladejobi Sobowale Sobowale

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