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
   45   46   47   48   49   50   51   52   53   54   55