| Audio signature-based condition monitoring of internal combustion engine using FFT and correlation approach SK Yadav, K Tyagi, B Shah, PK Kalra IEEE Transactions on instrumentation and measurement 60 (4), 1217-1226, 2010 | 42 | 2010 |
| Material sorting using a vision system N Kumar, MG Garcia, K Tyagi US Patent 10,710,119, 2020 | 20 | 2020 |
| Second Order Training Algorithms For Radial Basis Function Neural Networks K Tyagi Department of Electrical Engineering, The University of Texas at Arlington, 2012 | 9 | 2012 |
| Fuzzy C-means clustering based construction and training for second order RBF network K Tyagi, X Cai, MT Manry 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 248-255, 2011 | 9 | 2011 |
| Multi-step Training of a Generalized Linear Classifier K Tyagi, M Manry Neural Processing Letters 50 (2), 1341-1360, 2019 | 6 | 2019 |
| An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation X Cai, K Tyagi, MT Manry The 2011 International Joint Conference on Neural Networks, 3120-3126, 2011 | 6 | 2011 |
| Second Order Training and Sizing for the Multilayer Perceptron K Tyagi, S Nguyen, R Rawat, M Manry Neural Processing Letters, 1-29, 2019 | 5 | 2019 |
| Material handling using machine learning system N Kumar, MG Garcia, K Tyagi US Patent App. 17/380,928, 2021 | 4 | 2021 |
| Partially affine invariant back propagation S Nguyen, K Tyagi, P Kheirkhah, M Manry 2016 International Joint Conference on Neural Networks (IJCNN), 811-818, 2016 | 4 | 2016 |
| Training multilayer perceptron by using optimal input normalization X Cai, K Tyagi, MT Manry 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2771-2778, 2011 | 4 | 2011 |
| Material handling using machine learning system N Kumar, MG Garcia, K Tyagi US Patent App. 17/495,291, 2022 | 3 | 2022 |
| Second order design of multiclass kernel machines Y Hao, K Tyagi, R Rawat, M Manry 2016 International Joint Conference on Neural Networks (IJCNN), 3233-3240, 2016 | 3 | 2016 |
| Discriminant vector tranformations in neural network classifiers SS Auddy, K Tyagi, S Nguyen, M Manry 2016 International Joint Conference on Neural Networks (IJCNN), 1780-1786, 2016 | 3 | 2016 |
| A novel complex-valued counterpropagation network PK Kalra, D Mishra, K Tyagi 2007 IEEE Symposium on Computational Intelligence and Data Mining, 81-87, 2007 | 3 | 2007 |
| Automated multistep classifier sizing and training for deep learner K Tyagi The University of Texas at Arlington, 2018 | 2 | 2018 |
| Structural adaptation for sparsely connected MLP using Newton's method P Kheirkhah, K Tyagi, S Nguyen, MT Manry 2017 International Joint Conference on Neural Networks (IJCNN), 4467-4473, 2017 | 2 | 2017 |
| An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network X Cai, K Tyagi, MT Manry, Z Chen 2014 International Joint Conference on Neural Networks (IJCNN), 1093-1099, 2014 | 2 | 2014 |
| Supervised learning K Tyagi, C Rane, M Manry Artificial Intelligence and Machine Learning for EDGE Computing, 3-22, 2022 | 1 | 2022 |
| Regression analysis K Tyagi, C Rane, Harshvardhan, M Manry Artificial Intelligence and Machine Learning for EDGE Computing, 53-63, 2022 | 1 | 2022 |
| Multistage Newton’s approach for training radial basis function neural networks K Tyagi, C Rane, B Irie, M Manry SN Computer Science 2, 1-22, 2021 | 1 | 2021 |
Michael T ManryProfessor of Electrical Engineering, University of Texas at Arlingtonuta.edu의 이메일 확인됨
