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Deep CNN and twin support vector machine based model for detecting potholes in road network Cover

Deep CNN and twin support vector machine based model for detecting potholes in road network

International Journal on Smart Sensing and Intelligent Systems
Volume 18 (2025): Issue 1 (January 2025)
By: Mohit Misra,  Saptarshi Gupta and  Shailesh Tiwari  
Open Access
|Aug 2025

Figures & Tables

Figure 1:

Illustrates the proposed pothole detection model based on deep CNN and TSVM. CNN, convolutional neural network; TSVM, twin support vector machine.

Figure 2:

Proposed deep CNN-based feature extractor model. CNN, convolutional neural network.

Figure 3:

Depicts the confusion matrix of proposed deep CNN-TPSVM model. CNN, convolutional neural network; TPSVM, twin parametric support vector machine.

Figure 4:

Depicts the confusion matrix of other existing models.

Figure 5:

Comparative analysis of the results using proposed deep CNN-TPSVM model and existing models based on different performance parameters. CNN, convolutional neural network; TPSVM, twin parametric support vector machine.

Figure 6:

Demonstrates the accuracy rate of the proposed deep CNN-TPSVM model based on training and validation sets. CNN, convolutional neural network; TPSVM, twin parametric support vector machine.

Figure 7:

Demonstrates the loss rate of the proposed deep CNN-TPSVM model based on training and validation sets. CNN, convolutional neural network; TPSVM, twin parametric support vector machine.

Figure 8:

Depicts the AUC of proposed deep CNN-TPSVM model and other existing techniques. CNN, convolutional neural network; TPSVM, twin parametric support vector machine.

Depicts the simulation results of the proposed deep CNN-TPSVM model and other existing models

TechniqueAccuracy (%)Recall (%)Precision (%)F1-score (%)
ANN79.7387.3285.8286.56
SVM82.6088.8388.0190.31
VGG1684.4390.5888.8290.99
VGG1987.6591.9791.5593.87
InceptionV390.0692.5594.8795.69
DBN model93.0494.3096.3196.92
Proposed deep CNN-TPSVM Model96.1298.1397.7997.96
DOI: https://doi.org/10.2478/ijssis-2025-0099 | Journal eISSN: 1178-5608
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Language: English
Submitted on: Apr 14, 2025
|
Published on: Aug 11, 2025
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
pothole detection,
twin support vector machine,
road infrastructure,
deep convolutional network
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Mohit Misra, Saptarshi Gupta, Shailesh Tiwari, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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