Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost by Sonam Tyagi, Ishwari Singh Rajput, Bhawnesh Kumar, Harendra Singh Negi

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ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application by Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, Sajeeb Saha, Rakib Hossen, Sabbir Ahmed, Mohammad Abu Tareq Rony, Mosammat Farida Akter

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Exploration of ductility for refractory high entropy alloys via interpretive machine learning by Shaolong Zheng, Lingwei Yang, Liyang Fang, Chenran Xu, Guanglong Xu, Yifang Ouyang, Xiaoma Tao

“…Through the prediction and subsequent preparation of TiZrNbTax (x=0.3, 0.5, 0.7, 1) alloys, the experimental results confirmed the reliability of the proposed model and key parameters. …”
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Diagnosis-related groups study of uterine leiomyoma patients based on E-CHAID by Zhi Zou, Dan Deng

“…Factors including surgery type, LOS, and complications or comorbidities had significant impact on hospitalization costs, among which surgery type were the main influencing factor. Using the three factors as classification nodes, a total of 10 DRG groups were established by a decision tree model. …”
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Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions by VIJAI M. MOORTHY, BHUPAL N. DHARAMSOTH, VIJAYALAKSHMI MUTHUKARUPPAN, ARUL ELANGO, KALAIARASI GANESAN

“…The model demonstrated superior performance in predicting CVD outcomes, with classification accuracy of 95.5%, 94.26%, and 98.3% for Linear Regression, Decision Tree, and Gradient Boosted methods, respectively. …”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…After a thorough evaluation, the KNN (Fine KNN) model proved to be the most effective, achieving an accuracy of 99.7%, an error rate of 0.3%, a precision of 99.8%, a recall of 99.7%, and an F1-score of 99.8%, outperforming other models in terms of accuracy, robustness, and balance between metrics. …”
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Enhanced detection of headache presentation in unruptured brain arteriovenous malformation through combined radiologic features: A cross-sectional study by Chia-Yu Liu, Chia-Feng Lu, Jr-Wei Wu, Yong-Sin Hu, Jih-Yuan Lin, Huai-Che Yang, Jing-Kai Loo, Feng-Chi Chang, Kang-Du Liu, Chung-Jung Lin

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Foundation Models in Agriculture: A Comprehensive Review by Shuolei Yin, Yejing Xi, Xun Zhang, Chengnuo Sun, Qirong Mao

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CFB：Financial Large Models Evaluation Methods by LI Yi, LI Hao, XU Xiaozhe, YANG Yifan

“…The CFB encompasses 36 datasets, covers 24 financial tasks, and involves 7 evaluation tasks: question answering, terminology explanation, text generation, text translation, classification task, voice recognition, and predictive decision. …”
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Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers by Victor Chang, Sharuga Sivakulasingam, Hai Wang, Siu Tung Wong, Meghana Ashok Ganatra, Jiabin Luo

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Application of deep learning in malware detection: a review by Yafei Song, Dandan Zhang, Jian Wang, Yanan Wang, Yang Wang, Peng Ding

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Personalizing age‐specific survival prediction and risk stratification in intracranial grade II/III ependymoma by Xiangyang Deng, Xiaojia Zhang, Liang Yang, Xiangqi Lu, Junhao Fang, Lisheng Yu, Dandong Li, Hansong Sheng, Bo Yin, Nu Zhang, Jian Lin

“…Abstract Background Models for estimation of survival rates of patients with intracranial grade II/III ependymoma (EPN) are scarce. …”
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Exposure Modeling of Transmission Towers for Large-Scale Natural Hazard Risk Assessments Based on Deep-Learning Object Detection Models by Luigi Cesarini, Rui Figueiredo, Xavier Romão, Mario Martina

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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

“…Specifically, the GA-PSO-MLP model achieves a 15 % higher classification accuracy than Logistic Regression, a 12 % improvement over Decision Trees, and an 8 % gain over Random Forests. …”
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Models for the Design and Operation of Digital Educational Environments by A. V. Solovov, A. A. Menshikova

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Stochastic Explicit Calibration Algorithm for Survival Models by Jeongho Park, Sangwook Kang, Gwangsu Kim

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Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer by Valentina Brancato, Mario Verdicchio, Carlo Cavaliere, Francesco Isgrò, Marco Salvatore, Marco Aiello

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Skincare Recommendation System Based on Facial Skin Type with Real-Time Weather Integration by Gabrielle Sheila Sylvagno, Theresia Herlina Rochadiani

“…The system consists of three main components: a ResNet50-based Skin Analyzer, a Weather Analyzer using the Decision Tree algorithm, and a Product Recommendation module. …”
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Enhancing airport services: data-driven analysis of passenger satisfaction and service quality in Southeast Asia by Pholsook Thitinan, Ramjan Sarawut, Wipulanusat Warit

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Enhancing feature learning of hyperspectral imaging using shallow autoencoder by adding parallel paths encoding by Bibi Noor Asmat, Hafiz Syed Muhammad Bilal, M. Irfan Uddin, Faten Khalid Karim, Samih M. Mostafa, José Varela-Aldás

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