Dynamic behavior analysis of copper wire for predicting defects in the winding process of a motor coil by Masato NAGANO, Taichi HIROSAWA, Hidefumi WAKAMATSU, Yoshiharu IWATA, Hironori SUZUKI, Takumi NAKAUE, Takahiro TANAKA

“…Under these constraints, the equations of motion are solved to predict the dynamic behavior of the copper wire. In this paper, the simulation domain of the winding process is limited to speed up the calculation. …”
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Vehicle Fuel Consumption Prediction Method Based on Driving Behavior Data Collected from Smartphones by Ying Yao, Xiaohua Zhao, Chang Liu, Jian Rong, Yunlong Zhang, Zhenning Dong, Yuelong Su

“…By matching the driving behavior data collected by a mobile phone with the fuel consumption data collected by OBD, the correlation between driving behavior and fuel consumption is explored, so that vehicle fuel consumption could be predicted based on mobile phone data. …”
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Stable Inverse Reinforcement Learning via Leveraged Guided Motion Planner for Driving Behavior Prediction by Minglu Zhao, Masamichi Shimosaka

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Probabilistic prediction of Load–Displacement curves of corroded strands by Seungjun Lee, Jaebeom Lee, Chi-Ho Jeon, Young-Joo Lee

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Machine learning algorithms can predict emotional valence across ungulate vocalizations by Romain A. Lefèvre, Ciara C.R. Sypherd, Élodie F. Briefer

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Student academic performance prediction via hypergraph and TabNet by Yisheng Yang, Shiyu Zhao, Sufang An, Xiaoyong Li, Yong Zhang

“…Thus, modeling students’ behavior can enable the prediction of their academic performance. …”
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Social prediction errors in assisting strangers: the role of outcomes and contexts by Yan Li, Zhiwei Liu

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Predictive modeling of the mechanical behavior of 3D-printed polylactic acid/wood composite: Comparison of GEP and ANN methods by Abhijit Bhowmik, Raman Kumar, Ranganathaswamy M. K., Y. Karun Kumar, Priyaranjan Samal, Abinash Mahapatro, Abdulaziz N. Alhazaa, Valentin Romanovski, A. Johnson Santhosh

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Investigation on the Mechanical Behavior of Date Palm Fibers Reinforced Composites: Predictive Modelling Using Artificial Neural Networks (ANNs) by Hocine Makri, Salah Amroune, Moussa Zaoui, Khalissa Saada, Mohammad Jawaid, Yasemin Seki, Bilal Aichouche, Hassan Fouad, Imran Uddin

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Study on the effect of water on the shear behavior and microstructure of red mudstone by Qingyu Xie, Qiangbing Huang, Xiaosen Kang, Shaoyan Wu, Hengxing Lan

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Comparison and evaluation of different constitutive models for predicting the hot deformation behavior of Mg-Gd-Y-Zr alloy by Yanbo Pei, Liting Li, Menghua Yu, Enbo Wei, Maosheng Zhao, Bugang Teng

Subjects: “…Hot deformation behavior…”
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Prediction and analysis of flow behavior during gas kicks considering wellbore–formation coupling and gas solubility by Yu Su, Yu Su, Huiyun Ma, Lianbin Xia, Chi Peng, Jianhua Guo, Xinyu Shen, Jianhong Fu, Yijia Tang

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Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

“…This study addresses the challenge of wildfire occurrence and behavior prediction in Alaska by developing a comprehensive framework that leverages satellite-based data, geospatial features, advanced optimization, and machine learning (ML). …”
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Finite element analysis of RC beams using static experimental data to predict static and dynamic behaviors by Arvindan Sivasuriyan, D. S. Vijayan, Naveen Sankaran, D. Parthiban

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Otoacoustic emissions but not behavioral measurements predict cochlear nerve frequency tuning in an avian vocal communication specialist by Diana M Karosas, Leslie Gonzales, Yingxuan Wang, Christopher Bergevin, Laurel H Carney, Kenneth S Henry

“…Which methods accurately predict cochlear tuning remains controversial due to only a single animal study comparing SFOAE-based, behavioral, and cochlear frequency tuning in the same species. …”
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Machine learning to predict killer whale (Orcinus orca) behaviors using partially labeled vocalization data by Sophia Sandholm

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Predicting quality of life and self-care behaviors in patients with painful diabetic neuropathy based on psychological factors by Fatemeh Davari Moghadam, Zahra Rahami, Seyed Ahmadreza Ahmadi, Sajjad Reisi, Seyed Majid Ahmadi

“…The present study aimed to predict the quality of life (QoL) and self-care behaviors based on self-compassion, mental pain, and emotional expressivity in patients with PDN. …”
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Predicting customer loyalty in omnichannel retailing using purchase behavior, socio-cultural factors, and learning techniques by Shima Roosta, Seyed Jafar Sadjadi, Ahmad Makui

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On the Use of an Improved Artificial Fish Swarm Algorithm-Backpropagation Neural Network for Predicting Dam Deformation Behavior by Bo Dai, Hao Gu, Yantao Zhu, Siyu Chen, E. Fernandez Rodriguez

“…Dam behavior is difficult to predict due to its complexity. …”
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Prediction Model of the Mechanical Behavior of a Fuel Cell Stack under Strengthened Road Vibrating Conditions by Liying Ma, Bo Lv, Yongping Hou, Xiangmin Pan

“…In this paper, a data-oriented model has been presented by nonlinear autoregressive exogenous model (NARX) neural network, which aims at predicting the mechanical behavior of a fuel cell stack for vehicle under the real-life operational conditions. …”
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