What type of study is this?

This is a Experimental Study study (also classified as: Quantitative Study).

October 17, 2025Scientific ReportsOpen Access

Localized identification of seepage and ponding in earthen embankment using infrared thermography assimilated with different deep learning frameworks

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Authors

RKRitesh KumarDr. Bhim Rao Ambedkar University HSHans Henning StutzKarlsruhe Institute of Technology KJKanupriya JohariIndian Institute of Technology Roorkee

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Implication

The research demonstrates accurate detection of seepage and ponding in earthen embankments, suggesting improved safety measures through deep learning and infrared thermography.

Key Points

Accurate identification of seepage and ponding was achieved, enhancing embankment safety measures.
The study utilized infrared thermography to assess thermal images and predict leakage in embankments.
A physical experimentation setup generated a diverse dataset of thermal images across various environmental conditions.
Deep learning frameworks were successful in transforming complex leakage issues into an effective image classification problem.

Cite This Study

Kumar et al. (2025) studied this question.

synapsesocial.com/papers/68f25c913dc7eb0776cbc0c2 https://doi.org/10.1038/s41598-025-13258-y

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Implication

The research demonstrates accurate detection of seepage and ponding in earthen embankments, suggesting improved safety measures through deep learning and infrared thermography.

Localized identification of seepage and ponding in earthen embankment using infrared thermography assimilated with different deep learning frameworks

Discussion

Member takes

Implication

Key Points

Cite This Study

Localized identification of seepage and ponding in earthen embankment using infrared thermography assimilated with different deep learning frameworks

Discussion

Member takes

Implication

Key Points

Cite This Study

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