Suggested Topics within your search.
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1
Human Behavior Analysis Using Radar Data: A Survey
Published 2024-01-01“…In this study, we focus not only on the analysis of human behavior using radar but also on video observations. …”
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Using Big Data in Consumer Behavior Analysis: A Case Study
Published 2025-04-01Get full text
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Early detection of mental health disorders using machine learning models using behavioral and voice data analysis
Published 2025-05-01“…For this reason, this study presents a novel framework for the early detection of mental illness disorders using a multi-modal approach combining speech and behavioral data. …”
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The Influence of Consumer Behavior And Interest on The Purchase Decision of Second-Hand Clothing in Lubuk Pakam City
Published 2025-04-01“… Purpos: The purpose of this research is to determine the influence of consumer behavior and interests on purchasing decisions for used clothing in Lubuk Pakam City. …”
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Heterogeneity in the Driver Behavior: An Exploratory Study Using Real-Time Driving Data
Published 2022-01-01“…The driving maneuver data are analyzed using the unsupervised techniques (PCA and K-means clustering) and three patterns of acceleration and braking are identified, which are further associated with two patterns of speed behavior. …”
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Association between different types of smoking and first sexual behavior in adolescents: Survey data from South Korea
Published 2025-02-01“…Furthermore, data from the KYRBS 2018–2021 were used to analyze the time-related patterns in the connection between tobacco use and the first occurrence of sexual behavior among adolescents, with a focus on the moderating role of gender. …”
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Predicting Student Behavior Using a Neutrosophic Deep Learning Model
Published 2025-02-01“…Traditional machine learning approaches struggle with the inherent uncertainty in behavioral data. To address this, we combined neutrosophic theory—a mathematical framework that accounts for truth, falsity, and indeterminacy—with deep learning, which excels at learning complex data relationships, to predict student outcomes such as dropout rates. …”
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Beyond UTAUT: Integrating Digital Literacy and Voluntariness of Use to Understand Cashless Payment Behavior
Published 2025-07-01“…The study aims to identify the factors influencing MSME owners' behavioral intention and usage behavior regarding digital payment systems, using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. …”
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Personal Information Sharing Behavior Using Social Media
Published 2025-06-01“…We used Scopus database for data extraction, and 1020 pertinent records were chosen. …”
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Behavior recognition technology based on deep learning used in pediatric behavioral audiometry
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Identifying Cyclical Patterns of Behavior Using a Moving-Average, Data-Smoothing Manipulation
Published 2024-11-01“…We describe two cases for which we identified cyclical patterns in daily occurrences of destructive behavior, and we demonstrate the importance of analyzing smoothed data across various windows when using this approach. …”
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Driving sustainable transportation: analyzing consumer behavior toward used electric vehicles
Published 2025-12-01“…This study explores factors influencing consumers’ willingness to purchase used electric vehicles by integrating the Theory of Planned Behavior and the Technology Acceptance Model. …”
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Factors affecting auditors’ decisions to adopt Big Data analytics: a mixed method study
Published 2025-08-01Subjects: Get full text
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Knowledge and behavior of dentistry patients about the use and misuse of antibiotics: A cross-sectional study
Published 2022-12-01“…Background: Antibiotics are being used frequently in dental infection and this study focused on the knowledge and behavior on antibiotic use of dentistry patients to reveal major mistakes leading to drug misuse. …”
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Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin
Published 2025-06-01“…Existing approaches to modeling and predicting URS behavior are known for their weak or absent integration of data from real sensors in real time. …”
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A dynamical systems analysis of criminal behavior using national longitudinal survey of youth data.
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Simultaneous Speech and Eating Behavior Recognition Using Data Augmentation and Two-Stage Fine-Tuning
Published 2025-03-01“…By concatenating speech and eating sounds of varying lengths and sequences, we generated training data that mimic real-world environments where speech and eating behaviors co-exist. …”
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