AI-Based Prediction of Visual Performance in Rhythmic Gymnasts Using Eye-Tracking Data and Decision Tree Models by Ricardo Bernardez-Vilaboa, F. Javier Povedano-Montero, José Ramon Trillo, Alicia Ruiz-Pomeda, Gema Martínez-Florentín, Juan E. Cedrún-Sánchez

“…Each algorithm was trained to classify visual performance, and predictive performance was assessed using accuracy and macro F1-score metrics. Results: The decision tree model demonstrated the highest performance, achieving an average accuracy of 92.79% and a macro F1-score of 0.9276. …”
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Data-Driven Decision-Making for Flexible Natural Gas Allocation Under Uncertainties: An Agent-Based Modelling Approach by Noor Yusuf, Ahmed AlNouss, Roberto Baldacci, Tareq Al-Ansari

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Predicting women's career decisiveness in the ICT sector: A serial multiple mediation model among MIS students. by Nuray Akar, Tayfun Yörük, Ömür Tosun

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Circular Intuitionistic Fuzzy Median Ranking Model with a Novel Scoring Mechanism for Multiple Criteria Decision Analytics by Ting-Yu Chen

“…This study aims to pioneer an innovative circular intuitionistic fuzzy (C-IF) scoring-mediated median ranking model designed for multiple criteria decision analytics. …”
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Evaluation and improvement of nursing undergraduates’ informatics competencies using a hybrid multi-criteria decision-making model by Chao Liu, YouYou Hong, Wei-Ling Hu, Lili Feng, Yen-Ching Chuang, Bing-Long Wang

“…Methods This study constructed a hybrid multiple-criteria decision-making model. The analytical hierarchical process was applied to obtain criteria weights; thereafter, the Visekriterijumska Optimizacija I Kompromisno Resenje with Aspiration-level (VIKOR-AS) method was used to assess undergraduate nursing students’ informatics competencies of in the case hospital. …”
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Machine learning decision support model construction for craniotomy approach of pineal region tumors based on MRI images by Ziyan Chen, Yinhua Chen, Yandong Su, Nian Jiang, Siyi Wanggou, Xuejun Li

“…And class activation mapping was used to reveal that the tumor itself and its surrounding relations are crucial areas for model decision-making. Conclusion In our study, we used machine learning and deep learning to construct surgical approach recommendation models. …”
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Augmented intelligence in precision medicine: Transforming clinical decision‐making with AI/ML and/or quantitative systems pharmacology models by Sai Phanindra Venkatapurapu, Megan Gibbs, Holly Kimko

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Improved multi-objective decision-making in manufacturing processes through uncertainty quantification and robust pareto front modelling by Arne De Temmerman, Mathias Verbeke

“…Our findings demonstrate that incorporating aleatoric uncertainty into surrogate modelling leads to more reliable and robust decision-making in manufacturing optimization.…”
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A Comparative Study on Drivers’ Stop/Go Behavior at Signalized Intersections Based on Decision Tree Classification Model by Sheng Dong, Jibiao Zhou

“…The results indicate that the instantaneous speed of FG onset, the distance to the intersection at the start of FG, and the vehicle type are the most important predictors for both types of intersections. Besides, a DTC model can offer a simple way of modeling drivers’ stopping decision behavior and produce good results for urban intersections.…”
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Retracted: Define Electronic Enterprise Financial Management Information Decision-Making Process Based on IoT and the ERP Model by International Transactions on Electrical Energy Systems

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Corpus Development and NER Model for Identification of Legal Entities (Articles, Laws, and Sanctions) in Corruption Court Decisions in Indonesia by Edy Subowo, Imam Bukhori, warto

“…Error analysis highlighted challenges in recognizing SANCTIONS entities (F1: 87.4%) due to sentence structure variability and conjunctions. The model’s implementation could accelerate judicial decision analysis, identify violation patterns, and support sanctions recommendation systems for laws enforcement. …”
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Developing interpretable machine learning models to predict length of stay and disposition decision for adult patients in emergency departments by Abhishek Sharma, Timothy N Fazio, Long Song, Samantha Plumb, Uwe Aickelin, Mojgan Kouhounestani, Mark John Putland

“…Objective Machine learning (ML) models have emerged as tools to predict length of stay (LOS) and disposition decision (DD) in emergency departments (EDs) to combat overcrowding. …”
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Decision Support Model with TreeSoft Set for Assessment of Coupled and Coordinated Development of Digital Transportation Technology and Industry by 10.5281/zenodo.15009416, Jie Liu, Jianchang Huang

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Identification of the Physical Fabric Potential to Infill Development Applying Decision Making and GIS Models (case study: Ahvaz) by Ahmad Pourahmad, Saeid Zanganeh Shahraki, Mahmoud Arvin

“…The present study aims at identifying the redevelopment capacities of physical texture of Ahvaz regarding both the effective factors on urban development and prioritizing the identified textures for redevelopment. 2- Materials and Methodology The Research aims at identifying the lands and redevelopment capacities by applying the hybrid decision making models in GIS. As the first step, the exact definition of the problem is provided. …”
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Diagnosis model for gastric submucosal tumor based on multiple decision trees comprising endoscopic and endoscopic ultrasonography features by Shen Su, Shun-Yao Wu, Yun-He Tang, Lin-Lin Ren, Fan Yin, Yu-Shuang Xu, Xiao-Yu Li, Hua Liu, Shao-Hua Zhang, Xing-Lin Zhang, Zi-Bin Tian, Tao Mao

“…The predictive performance of the model was obtained through a five-fold cross-validation, and each decision tree model was evaluated by the area under the curve (AUC) and F1. …”
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Enhancing Environmental Control in Broiler Production: Retrieval-Augmented Generation for Improved Decision-Making with Large Language Models by Marcus Vinicius Leite, Jair Minoro Abe, Marcos Leandro Hoffmann Souza, Irenilza de Alencar Nääs

“…Among the promising advances in artificial intelligence (AI), large language models (LLMs) hold potential to enhance decision-making in broiler production by supporting environmental control through the interpretation of climatic data, the generation of reports to optimize conditions, guidance on ventilation adjustments, recommendations for thermal management, assistance in air quality monitoring, and the translation of simulation results into actionable suggestions to improve bird welfare. …”
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Stock Data Analysis by Machine Learning Techniques to Improve Predictive Model-ing and Decision-Making in Financial Markets by Rasool F. Jader, Mudhafar Haji M. Abd

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Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression. by Amon Masache, Precious Mdlongwa, Daniel Maposa, Caston Sigauke

“…Therefore, we recommend that the QGAM be preferred ahead of decision tree-based models when predicting solar irradiance. …”
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Factors Influencing the Decision to Use the Flipped Classroom Model by Primary School Teachers: A Case Study in Vietnam by Hung Tran Van, Hanh Dinh Thi My, Phuong Le Thai, Quyen Kim Ngo, Tram Thi Bich Nguyen

“…This study analyzed the factors affecting teacher motivation (TM) and intention to use the flipped classroom (ITU) model of primary school teachers in Vietnam. Using the PLS-SEM (structural equation modeling) structural model, data collected from 890 teachers showed that TM is essential in determining the level of FC acceptance. …”
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Development and validation of a decision tree model for prediction of insomnia risk among ischemic stroke convalescence patients by Xuefeng Sun, Zilin Wang, Yuqing Song, Deyu Cong, Shu Sun, Xinye Zhang, Ye Zhang, Hongshi Zhang

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