WEGAN: a web-based community ecology platform by Gina P. Sykes, Gina P. Sykes, Louisa Normington, Jenna Poelzer, Shiyang Zhao, Dana Allen, Samuel Stuart, Eponine Oler, Komal Jot, Vasuk Gautam, Xin Zhao, Jianguo Xia, Glen C. Jickling, David S. Wishart, David S. Wishart, David S. Wishart, David S. Wishart

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Application of Immune Complement Algorithm to NSL-KDD Intrusion Detection Dataset by Mafaz Khalil Alanezi, Najlaa Aldabagh

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An initial investigation of preservice teachers in the United States and possible applications to Ukraine: perceived knowledge of response to intervention by Phillip M. Weishaar, Wendy W. Fuchs, Llena R. Williams

“…Reform in the United States focuses on the use of evidence-based practices and data-based decision making. Reform in Ukraine focuses on democratic, learner-centered education. …”
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Global perspectives on unmanned aerial vehicles technology in social sciences: applications, innovations, and future research directions by Ricky Anak Kemarau, Zaini Sakawi, Stanley Anak Suab, Oliver Valentine Eboy, Wan Shafrina Wan Mohd Jaafar, Khairul Nizam Abdul Maulud, Nik Norliati Fitri Md Nor

“…The analysis reveals that UAVs significantly enhance research capabilities by improving data accuracy, resolution, and accessibility, particularly in remote or challenging environments. …”
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Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application by Ingrid Cintura, Antonio Arenas

“…The model was trained on historical data from 2012 to 2019 and thoroughly evaluated using out-of-sample data from 2002 to 2011. …”
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GPT Models Can Perform Thematic Analysis in Public Health Studies, Akin to Qualitative Researchers by Yuyi Yang, Charles Alba, Chenyu Wang, Xi Wang, Jami Anderson, Ruopeng An

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Enhancing educational through blended teaching: an analysis of teaching and learning quality with learning environment and social impacts by Tang Xinfa, Yang Xuejiao, Hao Guozu, Sun Yifei, Wan Youwei

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A machine learning‐based approach for wait‐time estimation in healthcare facilities with multi‐stage queues by Amjed Al‐Mousa, Hamza Al‐Zubaidi, Mohammad Al‐Dweik

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Machine learning applications in risk management: Trends and research agenda [version 2; peer review: 2 approved, 1 approved with reservations] by Erica Agudelo-Ceballos, Diana Marleny Ramírez-Ramírez, Ezequiel Martínez Rojas, Julio Leyrer Henríquez, Aarón José Alberto Oré León, Jesus Alberto Jimenez Garcia, Alejandro Valencia-Arias

“…Key terms include random forest, support vector machines (SVM), and credit risk assessment, while terms such as prediction, postpartum depression, big data, and security emerge as new areas of study. …”
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Enhancing Aspect-Based Sentiment Analysis in Imbalanced Multilabel Datasets using Resampling and Classifiers for Digital Signature Applications by Efriza Cahya Narendra, Amalia Anjani Arifiyanti, Tri Luhur Indayanti Sugata

“…These results underscore the importance of imbalanced data resampling and multilabel classification techniques in advancing ABSA, offering valuable insights for improving sentiment analysis in real-world applications.…”
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Application of Log Lithofacies Classification Model Based on Clustering-Support Vector Classification Method by HE Xianhong, LI Kesai, XU Jiacheng, FU Meiyan, YANG Yufei, SUN Jiaqi

“…This can provide theoretical basis and data support for accurate rock types division and physical parameters calculation.…”
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A novel Compound-Pareto model with applications and reliability peaks above a random threshold value at risk analysis by Mohammad Abiad, M. M. Abd El-Raouf, Haitham M. Yousof, M. E. Bakr, Oluwafemi Samson Balogun, M. Yusuf, Getachew Tekle Mekiso, Yusra A. Tashkandy

“…Abstract This paper aims to model the bimodal and right-skewed aircraft windshield data using a novel compounded-Pareto distribution. …”
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A Study on Water Quality Characteristics and Classification Scheme for Improving Major Tributaries in Sejong Special Self-Governing City: Development and Application of a Monthly W... by Chan-Ju Park, Sung-Suk Jung, Chang-Suk You, Seung-Gu Kang, Jang-Hee Lee, Jae-Hyuk Choi, Mi-Hye Ahn, Jung-Woo Ryu, Jin-Gyun Eom, Eun-Ok Bang, Kyung-Duk Zoh, Kyong-Yong Jung

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Leveraging the satellite-based climate data record CLARA-A3 to understand the climatic trend regimes relevant for solar energy applications over Europe by A. Devasthale, S. Andersson, E. Engström, F. Kaspar, J. Trentmann, A. Duguay-Tetzlaff, J. F. Meirink, E. Kjellström, E. Kjellström, T. Landelius, M. A. Thomas, K.-G. Karlsson

“…In this study, by leveraging the satellite-based climate data record (CDR) CLARA-A3, we investigate the recent trends in SIS and cloud properties over Europe during the 1982–2020 period. …”
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Application of the polynomial chaos expansion method for forecasting structural response of two full-scale case studies by Georgijev Viktor, Bogoevska Simona

“…Consequently, identifying the source of any existing discrepancies between obtained model results and measured data is difficult. This paper demonstrates a straightforward implementation of the polynomial chaos expansion method for the formulation of prognostic data-driven models targeted at tracking changes in continuously measured structural response. …”
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Application of Mapping Algorithm Based on Point Cloud Intensity Characteristics to Map Construction in Rail Transit Scenarios by LENG Binghan, WANG Bin, LYU Yu, JIANG Guotao

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The applications of anterior segment optical coherence tomography in glaucoma: a 20-year bibliometric analysis by Yijia Huang, Di Gong, Kuanrong Dang, Lei Zhu, Junhong Guo, Weihua Yang, Jiantao Wang

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Data splitting to avoid information leakage with DataSAIL by Roman Joeres, David B. Blumenthal, Olga V. Kalinina

“…Abstract Information leakage is an increasingly important topic in machine learning research for biomedical applications. When information leakage happens during a model’s training, it risks memorizing the training data instead of learning generalizable properties. …”
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Application of Mixed-Integer Linear Programming Models for the Sustainable Management of Vine Pruning Residual Biomass: An Integrated Theoretical Approach by Leonel J. R. Nunes

“…Future research should focus on real-time data integration, dynamic updates, and multi-objective optimization to improve model robustness and applicability across diverse supply chain scenarios.…”
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A digital twin model of urban utility tunnels and its application [version 1; peer review: 2 approved] by Wu Jiansong, Hu Yanzhu, Fan chen, Cai Jitao, Fu Ming, Wang Xin, Zou Xiaofu

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