Recent Developments in Heavy Metals Detection: Modified Electrodes, Pretreatment Methods, Prediction Models and Algorithms by Yujie Shi, Shijie Zhang, Hang Zhou, Yue Dong, Gang Liu, Wenshuai Ye, Renjie He, Guo Zhao

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Modelling relative richness of flooding-response groups to predict hydrology-driven change in wetland plant communities by David C. Deane, Michelle T. Casanova, Jason Nicol, Justin D. Brookes

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Targeting TCMR-associated cytokine genes for drug screening identifies PPARγ agonists as novel immunomodulatory agents in transplantation by Lu Hu, Lu Hu, Xiaohan Zhang, Xiaohan Zhang, Weiqi Zhang, Weiqi Zhang, Shuai Jin, Shuai Jin, Jie Zhao, Jianming Zheng, Wenli Song, Zhongyang Shen, Zhongyang Shen, Zhongyang Shen

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Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach by Iyán Iván-Baragaño, Antonio Ardá, José L. Losada, Rubén Maneiro

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Breast cancer risk assessment based on a predictive model: evaluation of risk factors among Japanese women by Michiyo Yamada, Takashi Chishima, Takashi Ishikawa, Kazutaka Narui, Sadatoshi Sugae, Peter J. Tonellato, Itaru Endo

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A comparative study of statistical and intelligent classification models for predicting airlines passenger management satisfaction by Mohammed Alharithi, Ehab M. Almetwally, Omar Alotaibi, Marwa M. Eid, El-Sayed M. El-kenawy, Alaa A. Elnazer

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Predicting Time in Range Without Hypoglycaemia Using a Risk Calculator for Intermittently Scanned CGM in Type 1 Diabetes by Fernando Sebastian‐Valles, Jose Alfonso Arranz Martin, Julia Martínez‐Alfonso, Jessica Jiménez‐Díaz, Iñigo Hernando Alday, Victor Navas‐Moreno, Teresa Armenta Joya, Maria del Mar delFandiño García, Gisela Liz Román Gómez, Jon Garai Hierro, Luis Eduardo Lander Lobariñas, Carmen González‐Ávila, Purificación deMartinez de Icaya, Vicente Martínez‐Vizcaíno, Miguel Antonio Sampedro‐Nuñez, Mónica Marazuela

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COVID-19, FINANCIAL RISK AND THE AIRLINE INDUSTRY by Kasım Kiracı

Subjects: “…financial distress prediction models…”
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Association between neutrophil-albumin ratio and ultrasound-defined metabolic dysfunction-associated fatty liver disease in U.S. adults: evidence from NHANES 2017–2018 by Ming-yu He, Xin-jie Du, Yi-ming Liu

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Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Hafeez Anwar, Tariq Ali

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A Data-Driven Approach to Engineering Instruction: Exploring Learning Styles, Study Habits, and Machine Learning by Lauren Genith Isaza Dominguez, Antonio Robles-Gomez, Rafael Pastor-Vargas

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Predictive modeling of ALS progression: an XGBoost approach using clinical features by Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih, Hussain Alsalman

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Meta Learning Strategies for Comparative and Efficient Adaptation to Financial Datasets by Kubra Noor, Ubaida Fatima

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An Integrated Approach for Conducting long-term PM2.5 Exposure and Health Impact Assessments for Residents of a City-scale by Ming-Shing Ho, Ming-Yeng Lin, Chih-Da Wu, Jung-Der Wang, Li-Hao Young, Hui-Tsung Hsu, Bing-Fang Hwang, Perng-Jy Tsai

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ANN-based software cost estimation with input from COCOMO: CANN model by Chaudhry Hamza Rashid, Imran Shafi, Bilal Hassan Ahmed Khattak, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

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Modeling Multimedia Ad Exposure: The Role of Low-Level Audiovisual Features by Urban Burnik, Andrej Kosir, Gregor Strle

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Digital generation in the context of predicting the professional future by E. F. Zeer, N. G. Tserkovnikova, V. S. Tretyakova

Subjects: “…professional future predicting model…”
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Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

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