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    Influencing Mechanism of the Social Role of Government Digital Human on Public Adoption Behavior by WEI Tianyu, LIU Zhongyi, ZHANG Ning

    Published 2025-02-01
    “…In approval service scenarios, the decision-maker role is more capable of promoting public adoption behavior than the advisor role; 2) Human-computer trust perception plays a crucial mediating role in the influence path of social roles on the public's adoption behavior, revealing the core value of the trust mechanism in human-computer interaction; 3) The synergy effect between role authority and task fit constitutes an important mechanism influencing public cognition. …”
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    Factors Affecting Maintenance Probability and Resurfacing Thickness Based on the Pavement Management System by Hongmei Li, Jiwang Jiang, Fujian Ni

    Published 2020-01-01
    “…Logistic regression was first employed to explore the influential factors on maintenance probability. Afterward, the classification tree model was established to find out the key factors on resurfacing thickness. …”
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    Opinion Mining and Analysis Using Hybrid Deep Neural Networks by Adel Hidri, Suleiman Ali Alsaif, Muteeb Alahmari, Eman AlShehri, Minyar Sassi Hidri

    Published 2025-04-01
    “…Furthermore, the model diminished misclassification loss from 20.24% for unbalanced to 13.3% for balanced dataset, signifying enhanced generalization and resilience.…”
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    The uptake of urban digital twins in the built environment: a pathway to resilient and sustainable cities by Hossein Omrany, Armin Mehdipour, Daniel Oteng, Karam M. Al-Obaidi

    Published 2025-04-01
    “…The study also presents a new classification model developed from analysing the research flow to elaborate on the main outcomes from five clusters towards UDT pathways. …”
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    Evaluation and Adjustment of Historical Hydroclimate Data: Improving the Representation of Current Hydroclimatic Conditions in Key California Watersheds by Andrew Schwarz, Z. Q. Richard Chen, Alejandro Perez, Minxue He

    Published 2025-01-01
    “…This method adjusts both annual and monthly streamflow values using a combination of precipitation–runoff relationships, quantile mapping, and water year classification. The adjusted data, reflecting current climatic conditions more accurately than the raw historical data, serve as valuable inputs for operational water resource planning models like CalSim3, commonly used in California for water management. …”
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