| Improved handwritten digit recognition using convolutional neural networks (CNN) S Ahlawat, A Choudhary, A Nayyar, S Singh, B Yoon Sensors 20 (12), 3344, 2020 | 221 | 2020 |
| Hybrid CNN-SVM classifier for handwritten digit recognition S Ahlawat, A Choudhary Procedia Computer Science 167, 2554-2560, 2020 | 181 | 2020 |
| Off-line handwritten character recognition using features extracted from binarization technique A Choudhary, R Rishi, S Ahlawat Aasri Procedia 4, 306-312, 2013 | 93 | 2013 |
| A new character segmentation approach for off-line cursive handwritten words A Choudhary, R Rishi, S Ahlawat Procedia Computer Science 17, 88-95, 2013 | 91 | 2013 |
| A new approach to detect and extract characters from off-line printed images and text A Choudhary, R Rishi, S Ahlawat Procedia Computer Science 17, 434-440, 2013 | 31 | 2013 |
| Hand gesture recognition using convolutional neural network S Ahlawat, V Batra, S Banerjee, J Saha, AK Garg International Conference on Innovative Computing and Communications …, 2019 | 30 | 2019 |
| Off-line handwritten numeral recognition using hybrid feature set–a comparative analysis S Ahlawat, R Rishi Procedia computer science 122, 1092-1099, 2017 | 20 | 2017 |
| Handwritten numeral recognition using modified BP ANN structure A Choudhary, R Rishi, S Ahlawat Advanced Computing: First International Conference on Computer Science and …, 2011 | 17 | 2011 |
| Performance analysis of feed forward MLP with various activation functions for handwritten numerals recognition A Choudhary, S Ahlawat, R Rishi, VS Dhaka 2010 The 2nd International Conference on Computer and Automation Engineering …, 2010 | 16 | 2010 |
| A binarization feature extraction approach to OCR: MLP vs. RBF A Choudhary, S Ahlawat, R Rishi Distributed Computing and Internet Technology: 10th International Conference …, 2014 | 15 | 2014 |
| A neural approach to cursive handwritten character recognition using features extracted from binarization technique A Choudhary, S Ahlawat, R Rishi Complex System Modelling and Control Through Intelligent Soft Computations …, 2015 | 14 | 2015 |
| A genetic algorithm based feature selection for handwritten digit recognition S Ahlawat, R Rishi Recent Patents on Computer Science 12 (4), 304-316, 2019 | 13 | 2019 |
| A deep learning-based framework for retinal disease classification A Choudhary, S Ahlawat, S Urooj, N Pathak, A Lay-Ekuakille, N Sharma Healthcare 11 (2), 212, 2023 | 11 | 2023 |
| Unconstrained handwritten digit OCR using projection profile and neural network approach A Choudhary, R Rishi, S Ahlawat Proceedings of the International Conference on Information Systems Design …, 2012 | 11 | 2012 |
| Optimal feed forward MLParchitecture for off-line cursive numeral recognition A Choudhary, R Rishi, S Ahlawat, VS Dhaka International Journal on Computer Science and Engineering 2 (1s), 1-7, 2010 | 7 | 2010 |
| Offline handwritten mathematical expression evaluator using convolutional neural network A Choudhary, S Ahlawat, H Gupta, A Bhandari, A Dhall, M Kumar International Conference on Innovative Computing and Communications …, 2021 | 6 | 2021 |
| Modified COVID-19 Indian and international dataset for automatic prediction of risk in an individual using machine learning models using a mobile APP J Bindra, S Ahlawat, M Javed International Journal of Intelligent Engineering Informatics 9 (2), 142-160, 2021 | 5 | 2021 |
| Influence of introducing an additional hidden layer on the character recognition capability of a BP neural network having one hidden layer A Choudhary, R Rishi, VS Dhaka, S Ahlawat Int J Eng Technol 2 (1), 24-28, 2010 | 5 | 2010 |
| Handwritten digit recognition using adaptive neuro-fuzzy system and ranked features S Ahlawat, R Rishi 2018 International Conference on Computing, Power and Communication …, 2018 | 4 | 2018 |
| Deeper into image classification J Bindra, B Rajesh, S Ahlawat International Conference on Innovative Computing and Communications …, 2021 | 3 | 2021 |
Rahul RishiM D University RohtakVerified email at mdurohtak.ac.in
Rahul RishiM D University RohtakVerified email at mdurohtak.ac.in