An Enhanced Deep Learning Approach to Potential Purchaser Prediction: AutoGluon Ensembles for Cross-Industry Profit Maximization by Hashibul Ahsan Shoaib, Md Anisur Rahman, Jannatul Maua, Ashifur Rahman, M. F. Mridha, Pankoo Kim, Jungpil Shin

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An Operational Carbon Emission Prediction Model Based on Machine Learning Methods for Urban Residential Buildings in Guangzhou by Lintao Zheng, Kang Luo, Lihua Zhao

Subjects: “…operational carbon emission prediction…”
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Birds of a Feather Resist Together: Sociality and Species Predict the Resilience and Recovery Strategies of Two Neotropical Birds by Melissa Ardila‐Villamizar, Daniela T. Sandoval, Adriana A. Maldonado‐Chaparro

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Predicting farmers' intention to use PPE for prevent pesticide adverse effects: An examination of the Health Belief Model (HBM) by Gholamhossein Abdollahzadeh, Mohammad Sharif Sharifzadeh

“…This study used the Health Belief Model (HBM) as a framework in predicting farmers' intention to use a series of PPE (face mask, goggles, gloves, protective clothing and rubber boots) for prevent pesticide adverse effects. …”
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Ultrasound contrast microbubbles to predict the microsphere distribution during transarterial radioembolization with holmium microspheres, an in vitro proof of concept study by Jan L. van der Hoek, Tess J. Snoeijink, Hadi Mirgolbabaee, Romaine Kunst, Michel Versluis, Jutta Arens, Srirang Manohar, Erik Groot Jebbink

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Predicting User Purchases From Clickstream Data: A Comparative Analysis of Clickstream Data Representations and Machine Learning Models by A. Aylin Tokuc, Tamer Dag

“…Predicting purchase events from e-commerce clickstream data is a critical challenge with significant implications for optimizing marketing strategies and enhancing customer experience. …”
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Temperature dependence of very high cycle fatigue behavior and life modeling for In713C Ni-based superalloy by Xiao-Long Li, Ming-Liang Zhu, Peng-Bo Zhu, Zi-Wei Wang

“…Finally, an energy-based model for predicting crack initiation life was established by considering the critical resolved shear stress of the γ′ phase with favorable accuracy.…”
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Determinants of Household Food Wasting Behavior: Applying the Theory of Planned Behavior by Fajar Wahyu Nugroho, Maswadi, Novira Kusrini

“…The goal of this study is to evaluate at how attitudes toward behavior, subjective norms, perceived behavioral control, and intention to reduce food waste affect food waste behavior in households. …”
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Forecasting Vegetation Behavior Based on PlanetScope Time Series Data Using RNN-Based Models by Ales Marsetic, Urska Kanjir

“…Recurrent neural network (RNN) deep learning (DL) models represent a modern approach to predict vegetation behavior with a high level of precision. …”
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Peripheral platelet count is a diagnostic marker for predicting the risk of rapid ejaculation: findings from a pilot study in rats by Yuan-Yuan Huang, Nan Ye, Dang-Wei Peng, Guang-Yuan Li, Xian-Sheng Zhang

“…To investigate the clinical significance of hematological parameters for predicting the risk of rapid ejaculation, we established a rat copulatory model on the basis of ejaculation distribution theory. …”
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Numerical Analysis of the Dynamic Behavior of the Ballasted Railway Track Under Loading of Trains at Variable Speeds to Improve the Prediction of Dynamic Amplification Factors and Damage to Its Components by Zoa Ambassa, Jean Chills Amba

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Commentary: Prediction of problem gambling by demographics, gaming behavior and psychological correlates among gacha gamers: A cross-sectional online survey in Chinese young adults by Leon Y. Xiao, Leon Y. Xiao, Nick Ballou, Charlotte Eben, Charlotte Eben

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A Comparative Study on Improved Arrhenius-Type and Artificial Neural Network Models to Predict High-Temperature Flow Behaviors in 20MnNiMo Alloy by Guo-zheng Quan, Chun-tang Yu, Ying-ying Liu, Yu-feng Xia

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Comparison of the performance of various forms of nano carbon as a membrane with the aim of optimal use in water purification and providing a mathematical model to predict membrane behavior by Abdollah Abbasloo, Farshad Farahbod

“…The significance of this research lies in its comprehensive comparison of various carbon-based nano-membranes for water purification and the development of a predictive mathematical model for membrane fouling behavior. …”
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Roughness prediction of end milling surface for behavior mapping of digital twined machine tools [version 2; peer review: 2 approved, 1 approved with reservations] by Gedong Jiang, Suiyan Shang, Wenwen Tian, Zheng Sun, Jun Xu, Dawei Zhang, Chi Fai Cheung

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DMA Master Curves for Long-Term Life Prediction of Epoxy Resins and Composites Using Time Temperature Superposition by Thiago F. Silvano, Ricardo M. Di Benedetto, Marilia Sonego, Angelo Souza, Antonio C. Ancelotti Junior

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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematological parameters by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…The research highlights the value of hybrid ML models to integrate behavioral and biological data to effectively predict LC. …”
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Predicting peer acceptance among students with and without special educational needs in secondary educational settings by Ivonne Douma, Ivonne Douma, Matthijs Warrens, Anke de Boer, Anke de Boer, Alexander Minnaert

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Plasticity and Fracture Behavior of High-Strength Bolts Considering Steel Shear Behavior by Yajun Zhang, Longteng Liang, Jian Zhu, Ruilin Zhang

“…However, based on the von Mises criterion, inputting the constitutive relation and damage model from the tensile coupon test into the finite element method cannot properly predict the shear behavior of high-strength bolts. …”
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Digital twin-driven management strategies for logistics transportation systems by Junfeng Li, Jianyu Wang

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