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  1. 3961

    Performance of ChatGPT on tasks involving physics visual representations: The case of the brief electricity and magnetism assessment by Giulia Polverini, Jakob Melin, Elias Önerud, Bor Gregorcic

    Published 2025-05-01
    “…[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Artificial intelligence-based chatbots are increasingly influencing physics education because of their ability to interpret and respond to textual and visual inputs. …”
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  2. 3962

    Landslide Risk Assessment along Roads by Using Radar-driven Land Deformation and Rainfall Data by Y. Ishii, J. Susaki, A. Kurihara, T. Oba, K. Yamaguchi, Y. Miyazaki, K. Kishida

    Published 2024-11-01
    “…There are problems that the operation of the traffic regulation tends to be redundant in terms of temporal duration and spatial coverage. In this paper, to consider the effect of topography and land deformation and resolve the problems of redundant traffic regulation, we attempted to predict the land deformation using spatio-temporal statistical models whose objective variable was deformation estimated PSInSAR and explanatory variables were accumulated rainfall and maximum gradient angle. …”
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  5. 3965

    Research on Road Crack Detection Based on RGB-LPC-GPR Data Fusion by Z. Wang, D. Qiu, R. Wu, R. Wu, Y. Shi, W. Niu

    Published 2025-08-01
    “…Moreover, a trend prediction model integrating ConvLSTM and a spatiotemporal attention mechanism achieved an MAE of 8.7% in a six-month damage trend prediction experiment, reducing prediction error by 34% compared to existing methods, underscoring the model's effectiveness in forecasting damage progression.The experimental results demonstrate that the proposed framework exhibits strong adaptability and stability across diverse road damage detection tasks, particularly excelling in the joint detection of cracks and underground voids with high accuracy. …”
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