Yuqian Mei, Zhiying Zhang, Liang Sun, and Yunpeng Li


  1. [1] Z.P. Xu, X.M. Wang, C.F. Zhang, D.J. Zeng, and C.G.Liu, Scaling and clogging treatment of aging tunnel drainagepipes in karst areas using eco-friendly acid agent, Journal ofRock Mechanics and Geotechnical Engineering, 15(4), 2023,896–910.
  2. [2] F. Gilvan, E.P. Edmar, S. De, F. Eduardo, F. Simas, C.M.A.Paulo, C.D.S. Ivan, and T.T.F. Cl´audia, Constrained neuralclassifier training method for flaw detection in industrial pipesusing particle swarm optimisation, International Journal ofInnovative Computing and Applications, 13(3), 2022, 150–160.
  3. [3] H. Shafeek, H.A. Soltan, and M.H. Abdel, Corrosionmonitoring in pipelines with a computerized system, AlexandriaEngineering Journal, 60(6), 2021, 5771–5778.
  4. [4] T. Vijayachandrika, S. Thirunavukkarasu, B. Rao, andC. Purna, Comprehensive study on radial coil influence indesigning segmented remote field eddy current probe for defectdetection in ferromagnetic tubes, Nondestructive Testing andEvaluation, 37(3), 2022, 346–365.
  5. [5] A. Kuldip and G. Dibyendu, Polynomial differentiationthreshold based edge detection of contrast enhanced images,International Journal of Image, Graphics and Signal Process-ing, 15(2), 2023, 35–46.
  6. [6] C. Yu, A. Sagar, H.G. Wang, Y.F. Li, L. Dang, H.Y. Song,and H.J. Moon, Deep learning based underground sewer defectclassification using a modified RegNet, Computers, Materials& Continua, 75(3), 2023, 5455–5473.
  7. [7] H.B. Liang, Y. Wang, and H. Yang, Study on ultrasonicdetection pattern recognition of natural gas steel pipelinedefects, Russian Journal of Nondestructive Testing, 58(10),2023, 903–916.
  8. [8] X. Shi, X. Zhu, and J. Zhang, Simulation and experimentalanalysis of drive motor stator current under local fault of gear,Mechatronic Systems and Control, 49(2), 2021, 74–82.
  9. [9] L. Ding, L. Huang, S. Li, H. Gao, H. Deng, L. Li,and G. Liu, Definition and application of variable resis-tance coefficient for wheeled mobile robots on deformableterrain, IEEE Transactions on Robotics, 36(3), 2020,894–909.
  10. [10] S. Kousik, S. Vaskov, F. Bu, M. Johnson-Roberson, andR. Vasudevan, Bridging the gap between safety and real-timeperformance in receding-horizon trajectory design for mobilerobots, The International Journal of Robotics Research, 39(12),2020, 1419–1469.
  11. [11] C. Sun, L. Wang, N. Wang, and S.H. Jin, Image recognitiontechnology in texture identification of marine sediment sonarimage, Complexity, (2), 2021, 1–8.
  12. [12] F. Chen and C. Wang, Image recognition technology based oncloud computing platform, Journal of Intelligent and FuzzySystems, 39(5), 2020, 1–11.
  13. [13] Z. Wu, H. Li, X.F. Wang, Z.J. Wu, L. Zou, L.X. Xu,and M. Tan, New benchmark for household garbage imagerecognition, Tsinghua Science and Technology, 27(5), 2022,793–803.
  14. [14] C.Y. Zhu, W.H. Zhao, and H. Lian, Image recognition andclassification with HOG based on nonlinear support tensormachine, Multimedia Tools and Applications, 82(13), 2022,20119–20138.
  15. [15] M. Barma and U.M. Modibbo, Multiobjective mathematicaloptimization model for municipal solid waste management witheconomic analysis of reuse/recycling recovered waste materials,Journal of Computational and Cognitive Engineering, 1(3),2022, 122–137.
  16. [16] W.A. Laghari, A. Huong, G. Tay Kim, and C.C. Chew, Dorsalhand vein pattern recognition: A comparison between manualand automatic segmentation methods, Healthcare InformaticsResearch, 29(2), 2023, 152–160.
  17. [17] R.X. Xing, F. Wu, X.Y. Gong, J.W. Du, and C.Y. Liu, An axis-matching approach to combined collinear pattern recognitionfor urban building groups, Geocarto International, 37(16),2022, 4823–4842.
  18. [18] M. Zhang, Y.B. Guo, Z. Zhang, R.B. He, D.G. Wang, J.Z. Chen,and T. Yin, Extraction of pipeline defect feature based onvariational mode and optimal singular value decomposition,Petroleum Science, 20(2), 2023, 1200–1216.
  19. [19] S. Wang, W.B. Xu, Y. Zhou, Y.L. Li, and J. Song, A noveldefect identification design of gas pipeline based on inverseheat conduction problem, Journal of Thermal Analysis andCalorimetry, 148(9), 2023, 3645–3658.6

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