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    Travel Behavior during the 2021 British Columbia Floods Using De-identified Network Mobility Data by Enqi Liao, Syeda N. Zehra, Stephen D. Wong

    Published 2024-05-01
    “…Using de-identified network mobility data, we analyze travel patterns centered around the municipality of Hope in British Columbia, Canada. …”
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    Article
  3. 23

    Forecasting Vegetation Behavior Based on PlanetScope Time Series Data Using RNN-Based Models by Ales Marsetic, Urska Kanjir

    Published 2024-01-01
    “…A time-series dataset consisting of 70 NDVI images calculated from PlanetScope data from April 2017 to January 2023 was used. Initially, all selected methods were evaluated and compared. …”
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    Simulating Flying Insects Using Dynamics and Data-Driven Noise Modeling to Generate Diverse Collective Behaviors. by Jiaping Ren, Xinjie Wang, Xiaogang Jin, Dinesh Manocha

    Published 2016-01-01
    “…In practice, the combination of Curl noise function with our dynamics model is used to generate realistic swarm simulations and emergent behaviors. …”
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  6. 26

    A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data by Barbara Cardone, Ferdinando Di Martino, Cristiano Mauriello, Vittorio Miraglia

    Published 2024-10-01
    “…This work proposes a new unsupervised method to evaluate the behavior of urban green areas in the presence of heatwave scenarios by analyzing three indices extracted from satellite data: the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST). …”
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  7. 27

    Estimation of Route-Choice Behavior Along LRT Lines Using Inverse Reinforcement Learning by Tomohiro Okubo, Akihiro Kobayashi, Daisuke Kamisaka, Akinori Morimoto

    Published 2024-12-01
    “…Therefore, this study uses inverse reinforcement learning (IRL), a type of machine learning, to build a model that estimates route-choice behavior along the LRT lines based on behavioral trajectories generated from smartphone location data. …”
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  8. 28

    Use of individual Google Location History data to identify consumer encounters with food outlets by Olufunso Oje, Ofer Amram, Perry Hystad, Assefaw Gebremedhin, Pablo Monsivais

    Published 2025-02-01
    “…We developed methods to identify visits to food outlets using outlet-specific buffer zones applied to the InfoUSA data on food outlet locations. …”
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    Using qualitative data to inform the adaptation of a stroke preparedness health intervention by Mellanie V. Springer, Tiffany Hodges, Cristi Lanning, Michael Tupper, Lesli E. Skolarus

    Published 2023-01-01
    “…Improved completeness of reporting may facilitate the development of effective behavior change interventions. Our objective was to describe how we used qualitative data to develop our stroke education intervention consisting of a pamphlet and video. …”
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  10. 30

    Help-Seeking Behaviors in Research Data Management by Jeremy Kenyon, Ramirose Attebury, Jylisa Doney, Marco Seiferle-Valencia, Jessica Martinez, Bruce Godfrey

    Published 2021-01-01
    “…Eighteen faculty in the natural and physical sciences at the University of Idaho were individually interviewed using an in-depth qualitative interview format and all transcripts were coded and analyzed using an open transcript data visualization tool created at the University of Idaho Library. …”
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    Article
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    A Hybrid Internet of Behavior Algorithm for Predicting IoT Data of Plant Growing using LSTM and NB Models by Khansaa Yaseen Ahmad, Omar Muayad Abdullah

    Published 2025-09-01
    “…This research proposes a hybrid Internet of Behaviors (IoB) technique that linking between time-series predicting and the classification models to estimate the plant growing behaviors using real environmental data. …”
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    Travel Behavior Analysis Using 2016 Qingdao’s Household Traffic Surveys and Baidu Electric Map API Data by Ge Gao, Zhen Wang, Xinmin Liu, Qing Li, Wei Wang, Junyou Zhang

    Published 2019-01-01
    “…Household traffic surveys are widely used in travel behavior analysis, especially in travel time and distance analysis. …”
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    Public Service Motivation and Attrition: Studying Individual-Level Turnover Behavior in the Public Sector Using Panel Data by Michael Bednarczuk

    Published 2024-12-01
    “…However, the evidence in support of the “attrition hypothesis” is nuanced, and there is a lack of research examining actual turnover behavior. This study addresses this gap by using longitudinal data from the Youth-Parent Socialization Study to examine the relationship between pre-employment PSM-related values and long-term turnover behavior in the public sector. …”
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    Test of the relationship between adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis by Ning Wang, Ziyi Wang, Hui Liu, Yifeng Wang, Jinkun Li, Xiaobin Hong

    Published 2025-05-01
    “…This study investigated the dose‒response relationship between Chinese adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis (CoDA). …”
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