Enhancing Hierarchical Sales Forecasting with Promotional Data: A Comparative Study Using ARIMA and Deep Neural Networks by Mariana Teixeira, José Manuel Oliveira, Patrícia Ramos

“…As competition intensifies, the use of promotions has become a widespread strategy, significantly impacting consumer purchasing behavior. …”
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Computing the COVID-19 Basic and Effective Reproduction Numbers Using Actual Data: SEIRS Model with Vaccination and Hospitalization by Svetozar Margenov, Nedyu Popivanov, Tsvetan Hristov, Veneta Koleva

“…We analyze the actual COVID-19 data from the USA, Italy, and Bulgaria to solve appropriate inverse problems and gain an understanding of the time evolution behavior of the basic and effective reproduction numbers. …”
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Intensification of Azeotropic Distillation for Ethanol Dehydration using Data-based Optimization, Steady-state Simulation and Sensitivity Analysis by T. Fattahi, E. Salehi, Z. Hosseini

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Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans. by Mei Zhan, Matthew M Crane, Eugeni V Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch'ng, Hang Lu

“…To serve a common need for automated high-resolution imaging and behavior applications in the C. elegans research community, we contribute a ready-to-use classifier for the identification of the head of the animal under bright field imaging. …”
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Data driven tensile strength prediction for fiber-reinforced rubberized recycled aggregate concrete using machine learning by Avijit Pal, Khondaker Sakil Ahmed, Nur Yazdani

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Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model by Lizhen Wu, Zhefei Pan, Shu Yuan, Xiaoyu Huo, Qiang Zheng, Xiaohui Yan, Liang An

“…Therefore, machine learning methods are adopted to accelerate the optimization. A data-driven surrogate model based on deep neural network (DNN) is developed and successfully trained using data obtained by the physical VOF method. …”
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Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data by Ke Niu, Jiayang Guo, Yijie Pan, Xin Gao, Xueping Peng, Ning Li, Hailong Li

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Gender roles in sustainable mobility: Exploring E-scooter adoption intentions in a developing country through an integrated TPB-UTAUT framework by Abbas Sheykhfard, Nima Dadashzadeh, Fengxiang Qiao, Mehdi Azimi, Sergio A. Useche

“…For this purpose, we conducted an e-survey, with 449 complete responses from Babol’s residents in Iran. Once the data was gathered, an integrated theoretical framework was developed by synthesizing constructs from the Theory of Planned Behavior (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT). …”
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Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction by Payam Boozary, Sogand Sheykhan, Hamed GhorbanTanhaei, Cosimo Magazzino

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Using big data analytics to improve HIV medical care utilisation in South Carolina: A study protocol by Mohammad Rifat Haider, Bankole Olatosi, Jiajia Zhang, Sharon Weissman, Jianjun Hu, Xiaoming Li

“…These data will be linked to the RFA data and serve as sources for traditional and vulnerable domain Gelberg-Anderson Behavioral Model variables. …”
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Non-Linear Models in Economic and Social Research by L. F. Petrov

“…For simple natural scientific systems chaotic behavior is only one of possible forms of the dynamic process in line with determined behavior. …”
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Model Predictive Control Using an Artificial Neural Network for Fast-Charging Lithium-Ion Batteries by Joris Jaguemont, Ali Darwiche, Fanny Bardé

“…The framework synergizes MPC’s predictive capabilities with the daptive learning of Artificial Neural Network (ANN) by training the ANN offline using MPC-derived input–output data. Validation against prior MPC results demonstrates MPCANN’s ability to replicate MPC behavior across temperatures, achieving strong alignment in current and temperature predictions. …”
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Using machine learning to identify key predictors of maternal success in sheep for improved lamb survival by Ebru Emsen, Bahadir Baran Odevci, Muzeyyen Kutluca Korkmaz

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Critical Fluctuations as an Early Warning Signal of Sports Injuries? A Proof of Concept Using Football Monitoring Data by Niklas D. Neumann, Jur J. Brauers, Nico W. van Yperen, Mees van der Linde, Koen A. P. M. Lemmink, Michel S. Brink, Fred Hasselman, Ruud J. R. den Hartigh

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Self-monitoring of health - user viewpoints on gathering data using consumer health technologies during leisure time by Nora Weinberger, Martina F. Baumann, Maria Maia

“…It focuses on attitudes toward health data collection, data sharing, privacy concerns, and the use of EEG-supported devices.ResultsFindings reveal a complex landscape of trust and concern. …”
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Scenic area attractiveness in Dali City and its influencing factors evaluated using multi-source spatiotemporal data. by Di Wang, Haizhong Qian

“…Developments in social media and multi-source spatiotemporal data provide a basis for studying complex tourist behaviors, overcoming the limitations of traditional interview survey data. …”
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Predictive model for sarcopenia in chronic kidney disease: a nomogram and machine learning approach using CHARLS data by Renjie Lu, Shiyun Wang, Pinghua Chen, Fangfang Li, Fangfang Li, Pan Li, Qian Chen, Xuefei Li, Fangyu Li, Suxia Guo, Jinlin Zhang, Jinlin Zhang, Dan Liu, Zhijun Hu

“…The 2015 CHARLS data were split randomly into a training set (70%) and a testing set (30%). …”
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A Dynamic Precision Evaluation System for Physical Education Classroom Teaching Behaviors Based on the CogVLM2-Video Model by Chao Liu, Fan Yang, Chengyu Ge, Zhiyu Shao

“…Leveraging the CogVLM2-Video model, the research presents a system for real-time data collection, automated annotation, and in-depth analysis of teaching behaviors. …”
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The Profound Nature of Linkage Between the Impact of the Use of Artificial Intelligence in Retail on Buying and Consumer Behavior and Consumers’ Perceptions of Artificial Intellige... by Theodor Purcărea, Valeriu Ioan-Franc, Ştefan-Alexandru Ionescu, Ioan Matei Purcărea

“…The purpose of this paper is to investigate the impact of the use of Artificial Intelligence in retail on buying and consumer behavior, better understanding how consumers perceive Artificial Intelligence on the path to the Next Normal. …”
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Analysis of the Impact of Ownership Type on Construction Land Prices Under the Influence of Government Decision-Making Behaviors in China: Empirical Research Based on Micro-Level L... by Jinlong Duan, Zizhou Ma, Fan Dong, Xiaoping Zhou

“…This paper analyzed the impact of ownership type on construction land prices using micro-level land transaction data from Wujin District, Changzhou City, from 2015 to 2021 and investigated the role of government decision-making behaviors such as spatial planning and supply plan in this relationship. …”
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