Driving Behavior Classification Using a ConvLSTM by Alberto Pingo, João Castro, Paulo Loureiro, Sílvio Mendes, Anabela Bernardino, Rolando Miragaia, Iryna Husyeva

“…This work explores the classification of driving behaviors using a hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with Long Short-Term Memory (LSTM) networks (ConvLSTM). …”
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Analog Behavioral Modeling of Schottky Diode Using Spice by Messaadi Lotfi, Dibi Zohir

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Behavior engineering using quantitative reinforcement learning models by Ohad Dan, Ori Plonsky, Yonatan Loewenstein

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Emulating a randomized clinical trial with real-world data to evaluate the effect of antidepressant use in PTSD patients with high suicide risk by Oshin Miranda, Xiguang Qi, M. Daniel Brannock, Ryan Whitworth, Thomas Kosten, Neal David Ryan, Gretchen L. Haas, Gretchen L. Haas, Gretchen L. Haas, Levent Kirisci, LiRong Wang

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The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention by Ahmet Erdem, Mahmut Barakazı, Ferhat Şeker

“…The aim of this research is to determine the effect of attitude and acceptability of the use of robots in restaurants on behavioral intention. …”
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Financial Literacy, Consumptive Behavior, and Lifestyle on the Use of Shopee PayLater with the Moderating Role of Financial Behavior by Ahmad Zaki Zein, Farahiyah Sartika

“…Using a quantitative approach, the study surveyed 100 students across five universities in Malang City and analyzed the data through Structural Equation Modeling (SEM) with SmartPLS 4.0. …”
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User Behavior Analysis of E-Wallet Usage Among Gen Z using the Theory of Planned Behavior by Muhammad Zacky Raditya, Mona Fronita, Eki Saputra, Megawati Megawati

“…A quantitative research method was employed, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). …”
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Social Class and Digital Divide: Analyzing Digital Inequalities on Census and Digital Behavioral Data by Kata Számel, Ákos Huszár, Michelle Horváth, Szilvia Rudas, Zsófia Rakovics, Júlia Koltai

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An Intelligent Market Model that Incorporates Individual Trader’s Behavior to Simulate Forex Trading Data by Patrick Naivasha, George Musumba, Patrick Gikunda, John Wandeto

“…We use game-theoretic analysis to build a model that considers individual trader traits and generates Forex data. …”
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Transform-Based Multiresolution Decomposition for Unsupervised Learning and Data Clustering of Cellular Network Behavior by Juan Cantizani-Estepa, Sergio Fortes, Javier Villegas, Javier Rasines, Raul Martin Cuerdo, Raquel Barco

“…The proposed approach has been tested with real network data, successfully separating different behaviors analyzed in the evaluation section of the manuscript.…”
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Decoding a Cognitive Performance State From Behavioral Data in the Presence of Auditory Stimuli by Saman Khazaei, Rose T. Faghih

“…We decode the performance from behavioral observation data using the Bayesian state-space approach. …”
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Optimized workflow for behavior-coupled fiber photometry experiment: improved data navigation and accessibility by Anna Athanassi, Amaury François, Emmanuel Bourinet, Marc Thevenet, Nathalie Mandairon

“…Our approach allows ease of data analysis and exploration using custom algorithms and scripts that extract and process both fiber photometry and behavioral data, without relying on predefined event markers. …”
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A data dissemination mechanism based on evaluating behavior for vehicular delay-tolerant networks by Na Fan, Zongtao Duan, Guangyuan Zhu

“…To address this issue, we propose a data dissemination mechanism for vehicular delay-tolerant networks. …”
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Holiday Destination Choice Behavior Analysis Based on AFC Data of Urban Rail Transit by Chang-jun Cai, En-jian Yao, Sha-sha Liu, Yong-sheng Zhang, Jun Liu

“…First, based on Guangzhou Metro AFC data collected on New Year’s day, the characteristics of holiday destination choice behavior for urban rail transit passengers is analyzed. …”
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Inferring mobility of care travel behavior from transit smart fare card data by Awad Abdelhalim, Daniela Shuman, Anson F. Stewart, Kayleigh B. Campbell, Mira Patel, Gabriel L. Pincus, Inés Sánchez de Madariaga, Jinhua Zhao

“…In contrast to past studies that have quantified the impact of gender using survey and qualitative data, we examine a novel data-driven workflow utilizing a combination of previously developed origin, destination, and transfer inference (ODX) based on individual transit fare card transactions, name-based gender inference, and geospatial analysis as a framework to identify mobility of care trip making. …”
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Driving behavior recognition and prediction based on Bayesian model by Xinsheng WANG, Zhen BIAN

“…Since the existing intelligent driving systems are lack of efficiency and accuracy when processing huge number of driving data,a brand new approach of processing driving data was developed to identify and predicate human driving behavior based on Bayesian model.The approach was proposed to take two steps to deduce the specific driving behavior from driving data correspondingly without any supervision,the first step being using Bayesian model segmentation algorithm to divide driving data that inertial sensor collected into near-linear segments with the help of Bayesian model segmentation algorithm,and the second step being using extended LDA model to aggregate those linear segments into specific driving behavior (such as braking,turning,acceleration and coasting).Both offline and online experiments are conducted to verify this approach and it turns out that approach has higher efficiency and recognition accuracy when dealing with numerous driving data.…”
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Do network externalities and perceived gratifications boost WeChat continued use? Combining perspectives of network externalities and uses and gratifications by Hua Pang, Yuxin Qiao, Yanran Li, Lei Wang

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Indoor tanning is associated with substance use behaviors among adolescents by Nathan Shen, Suzanne L. Fastner, Xuechen Wang, Ben J. Brintz, Chelsey R. Schlechter, Yelena P. Wu

“…Conclusions Indoor tanning among adolescents is associated with increased odds of engaging in substance use behaviors, including e-cigarette use. Health interventions for adolescents may benefit from addressing multiple health risk behaviors concurrently and targeting adolescents most in need for health interventions. …”
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Immigration-specific stress and 24-hour movement behaviors among international nurses in Japan: a network and time-series network analysis using wearable device data by Xinyi Chang, Xiuzhu Gu

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Examining health-related social needs and their association with stress and mental health among US Veterans using 2022 behavioral risk factor surveillance system (BRFSS) data by Halima Ahmadi-Montecalvo, Zackery White, Yessenia Castillo, Shannon Beattie Lopez, Kelly Sanders, Marguerite Daus

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