Page 50 - Read Online
P. 50
Chazhoor et al. Intell Robot 2022;2:1-19 https://dx.doi.org/10.20517/ir.2021.15 Page 19
29. Han X, Zhong Y, Cao L, Zhang L. Pre-trained AlexNet Architecture with pyramid pooling and supervision for high spatial resolution
remote sensing image scene classification. Remote Sensing 2017;9:848. DOI
30. Talo M. Convolutional neural networks for multi-class histopathology image classification. 2019. Available from:
https://arxiv.org/ftp/arxiv/papers/1903/1903.10035.pdf [Last accessed on 24 Jan 2022].
31. Go JH, Jan T, Mohanty M, Patel OP, Puthal D, Prasad M. Visualization approach for malware classification with ResNeXt. 2020 IEEE
Congress on Evolutionary Computation (CEC). 2020 Jul 19-24; Glasgow, UK. IEEE; 2020. p. 1-7. DOI
32. Seidaliyeva U, Akhmetov D, Ilipbayeva L, Matson ET. Real-time and accurate drone detection in a video with a static background.
Sensors (Basel) 2020;20:3856. DOI PubMed PMC
33. Nguyen THB, Park E, Cui X, Nguyen VH, Kim H. fPADnet: small and efficient convolutional neural network for presentation attack
detection. Sensors (Basel) 2018;18:2532. DOI PubMed PMC
34. Paszke A, Gross S, Chintala S, et al. Automatic differentiation in pytorch. Available from: https://openreview.net/pdf?id=BJJsrmfCZ
[Last accessed on 24 Jan 2022].
35. You K, Long M, Wang J, Jordan MI. How does learning rate decay help modern neural networks? Available from:
https://arxiv.org/abs/1908.01878 [Last accessed on 24 Jan 2022].
36. Li X, Chang D, Tian T, Cao J. Large-margin regularized Softmax cross-entropy loss. IEEE Access 2019;7:19572-8. DOI
37. Ketkar N. Stochastic gradient descent. Deep learning with Python. Springer; 2017. p. 113-32. DOI
38. Mukherjee H, Ghosh S, Dhar A, Obaidullah SM, Santosh KC, Roy K. Shallow convolutional neural network for COVID-19 outbreak
screening using chest X-rays. Cognit Comput 2021. DOI PubMed PMC
39. Selvik JT, Abrahamsen EB. On the meaning of accuracy and precision in a risk analysis context. Proceedings of the Institution of
Mechanical Engineers, Part O: Journal of Risk and Reliability 2017;231:91-100. DOI
40. Singh A, Príncipe JC. A loss function for classification based on a robust similarity metric. The 2010 International Joint Conference on
Neural Networks (IJCNN). 2010 Jul 18-23; Barcelona, Spain. IEEE; 2010. p. 1-6. DOI
41. Gao B, Bai L, Woo WL, Tian G. Thermography pattern analysis and separation. Appl Phys Lett 2014;104:251902. DOI
42. Gao B, Zhang H, Woo WL, Tian GY, Bai L, Yin A. Smooth nonnegative matrix factorization for defect detection using microwave
nondestructive testing and evaluation. IEEE Trans Instrum Meas 2014;63:923-34. DOI
43. Ahmed J, Gao B, Woo WL, Zhu Y. Ensemble joint sparse low-rank matrix decomposition for thermography diagnosis system. IEEE
Trans Ind Electron 2021;68:2648-58. DOI
44. Song J, Gao B, Woo W, Tian G. Ensemble tensor decomposition for infrared thermography cracks detection system. Infrared Physics
& Technology 2020;105:103203. DOI
45. Ahmed J, Gao B, Woo WL. Sparse low-rank tensor decomposition for metal defect detection using thermographic imaging
diagnostics. IEEE Trans Ind Inf 2021;17:1810-20. DOI
46. Wu T, Gao B, Woo WL. Hierarchical low-rank and sparse tensor micro defects decomposition by electromagnetic thermography
imaging system. Philos Trans A Math Phys Eng Sci 2020;378:20190584. DOI PubMed PMC