| Segmentation and classification of medical images using texture-primitive features: Application of BAM-type artificial neural network N Sharma, AK Ray, S Sharma, KK Shukla, S Pradhan, LM Aggarwal Journal of medical physics/Association of Medical Physicists of India 33 (3 …, 2008 | 165 | 2008 |
| Neuro-genetic prediction of software development effort KK Shukla Information and Software Technology 42 (10), 701-713, 2000 | 125 | 2000 |
| Coverage and connectivity in WSNs: A survey, research issues and challenges A Tripathi, HP Gupta, T Dutta, R Mishra, KK Shukla, S Jit IEEE Access 6, 26971-26992, 2018 | 110 | 2018 |
| Efficient algorithms for discrete wavelet transform: with applications to denoising and fuzzy inference systems KK Shukla, AK Tiwari Springer Science & Business Media, 2013 | 74 | 2013 |
| Prayas at emoint 2017: An ensemble of deep neural architectures for emotion intensity prediction in tweets P Goel, D Kulshreshtha, P Jain, KK Shukla Proceedings of the 8th Workshop on Computational Approaches to Subjectivity …, 2017 | 51 | 2017 |
| Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction AK Tiwari, S Shreevastava, T Som, KK Shukla Expert Systems with Applications 101, 205-212, 2018 | 50 | 2018 |
| Fast and robust passive copy-move forgery detection using SURF and SIFT image features RC Pandey, SK Singh, KK Shukla, R Agrawal 2014 9th International conference on industrial and information systems …, 2014 | 43 | 2014 |
| Passive forensics in image and video using noise features: A review RC Pandey, SK Singh, KK Shukla Digital Investigation 19, 1-28, 2016 | 38 | 2016 |
| Passive copy-move forgery detection in videos RC Pandey, SK Singh, KK Shukla 2014 International conference on computer and communication technology …, 2014 | 38 | 2014 |
| Real-time task scheduling with fuzzy uncertainty in processing times and deadlines PK Muhuri, KK Shukla Applied soft computing 8 (1), 1-13, 2008 | 38 | 2008 |
| Convergence rate analysis of proximal gradient methods with applications to composite minimization problems DR Sahu, JC Yao, M Verma, KK Shukla Optimization 70 (1), 75-100, 2021 | 37 | 2021 |
| Exploring neuro-genetic processing of electronic nose data AK Srivastava, KK Shukla, SK Srivastava Microelectronics Journal 29 (11), 921-931, 1998 | 37 | 1998 |
| A comparison among ARIMA, BP-NN, and MOGA-NN for software clone evolution prediction J Pati, B Kumar, D Manjhi, KK Shukla IEEE Access 5, 11841-11851, 2017 | 35 | 2017 |
| Segmentation of medical images using simulated annealing based fuzzy C Means algorithm N Sharma, AK Ray, S Sharma, KK Shukla, L Aggarwal, S Pradhan International Journal of Biomedical Engineering and Technology 2 (3), 260-278, 2009 | 30 | 2009 |
| Real-time scheduling of periodic tasks with processing times and deadlines as parametric fuzzy numbers PK Muhuri, KK Shukla Applied Soft Computing 9 (3), 936-946, 2009 | 29 | 2009 |
| Adaptive resonance neural classifier for identification of gases/odours using an integrated sensor array KK Shukla, RR Das, R Dwivedi Sensors and Actuators B: Chemical 50 (3), 194-203, 1998 | 27 | 1998 |
| Defect prediction for object oriented software using support vector based fuzzy classification model B Mishra, K Shukla International Journal of Computer Applications 60 (15), 2012 | 25 | 2012 |
| Classification of histopathological images of breast cancerous and non cancerous cells based on morphological features KK Shukla, A Tiwari, S Sharma Biomedical and Pharmacology Journal 10 (1), 353-366, 2017 | 23 | 2017 |
| A comparison of ARIMA, neural network and a hybrid technique for Debian bug number prediction J Pati, KK Shukla 2014 International Conference on Computer and Communication Technology …, 2014 | 19 | 2014 |
| Passive copy move forgery detection using SURF, HOG and SIFT features RC Pandey, R Agrawal, SK Singh, KK Shukla Proceedings of the 3rd International Conference on Frontiers of Intelligent …, 2015 | 18 | 2015 |
