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ORCIDKaushal K. Shukla
Kaushal Kumar Shukla – K. K. Shukla 0001
Person information
- affiliation: Banaras Hindu University (BHU), Indian Institute of Technology, Varanasi, India
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Books and Theses
- 2013
[b2]Kaushal K. Shukla, Arvind K. Tiwari:
Efficient Algorithms for Discrete Wavelet Transform - With Applications to Denoising and Fuzzy Inference Systems. Springer Briefs in Computer Science, Springer 2013, ISBN 978-1-4471-4940-8, pp. i-ix, 1-91- 2011
- [b1]Kaushal K. Shukla, Munaga V. N. K. Prasad:
Lossy Image Compression - Domain Decomposition-Based Algorithms. Springer Briefs in Computer Science, Springer 2011, ISBN 978-1-4471-2217-3, pp. i-xii, 1-89
Journal Articles
- 2024
- [j49]Vandana Bharti
, Bhaskar Biswas, Kaushal Kumar Shukla:
QEMCGAN: Quantized Evolutionary Gradient Aware Multiobjective Cyclic GAN for Medical Image Translation. IEEE J. Biomed. Health Informatics 28(3): 1240-1251 (2024) - 2023
- [j48]Vandana Bharti, Shabari S. Nair, Akshat Jain, Kaushal Kumar Shukla, Bhaskar Biswas:
Concept drift detection in toxicology datasets using discriminative subgraph-based drift detector. Briefings Bioinform. 24(1) (2023) - [j47]Anviti Pandey, Sanjay Kumar Singh, Sandeep S. Udmale, Kaushal K. Shukla:
An intelligent optimized deep learning model to achieve early prediction of epileptic seizures. Biomed. Signal Process. Control. 84: 104798 (2023) - [j46]Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla:
MDO: a novel murmuration-flight based dispersive optimization algorithm and its application to image security. J. Ambient Intell. Humaniz. Comput. 14(5): 4809-4826 (2023) - [j45]Atul Chaudhary, Rahul Mishra, Hari Prabhat Gupta, Kaushal K. Shukla:
Jointly Prediction of Activities, Locations, and Starting Times for Isolated Elderly People. IEEE J. Biomed. Health Informatics 27(5): 2288-2295 (2023) - 2022
- [j44]Sarika Keshri, Shyam Lal, K. K. Shukla:
Picture quality and compression analysis of multilevel legendre wavelet transformation based image compression technique. Multim. Tools Appl. 81(21): 29799-29845 (2022) - [j43]Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla:
EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation. Neural Comput. Appl. 34(24): 21433-21447 (2022) - [j42]Atul Chaudhary, Hari Prabhat Gupta, K. K. Shukla:
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 740-750 (2022) - [j41]Anviti Pandey, Sanjay Kumar Singh, Sandeep S. Udmale, Kaushal K. Shukla:
Epileptic Seizure Classification Using Battle Royale Search and Rescue Optimization-Based Deep LSTM. IEEE J. Biomed. Health Informatics 26(11): 5494-5505 (2022) - 2021
- [j40]Prateep Upadhyay, S. K. Upadhyay, K. K. Shukla:
Magnetic resonance images denoising using a wavelet solution to laplace equation associated with a new variational model. Appl. Math. Comput. 400: 126083 (2021) - [j39]Manisha Singla, Debdas Ghosh, K. K. Shukla:
øverline pin-TSVM: A Robust Transductive Support Vector Machine and its Application to the Detection of COVID-19 Infected Patients. Neural Process. Lett. 53(6): 3981-4010 (2021) - [j38]Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla:
A Novel Multiobjective GDWCN-PSO Algorithm and Its Application to Medical Data Security. ACM Trans. Internet Techn. 21(2): 46:1-46:28 (2021) - 2020
- [j37]Prateep Upadhyay, S. K. Upadhyay, K. K. Shukla:
Denoising 1D signal using wavelets. Int. J. Intell. Syst. Technol. Appl. 19(6): 517-525 (2020) - [j36]Anuranjeeta, Shiru Sharma, Neeraj Sharma, Munendra Singh, K. K. Shukla:
Enhancement and segmentation of histopathological images of cancer using dynamic stochastic resonance. Int. J. Medical Eng. Informatics 12(2): 180-193 (2020) - [j35]Mridula Verma, Kaushal Kumar Shukla:
Convergence analysis of accelerated proximal extra-gradient method with applications. Neurocomputing 388: 288-300 (2020) - [j34]Manisha Singla, Debdas Ghosh, K. K. Shukla:
A survey of robust optimization based machine learning with special reference to support vector machines. Int. J. Mach. Learn. Cybern. 11(7): 1359-1385 (2020) - [j33]Manisha Singla, K. K. Shukla:
Robust statistics-based support vector machine and its variants: a survey. Neural Comput. Appl. 32(15): 11173-11194 (2020) - [j32]Manisha Singla, Debdas Ghosh, K. K. Shukla:
Improved Sparsity of Support Vector Machine with Robustness Towards Label Noise Based on Rescaled α-Hinge Loss with Non-smooth Regularizer. Neural Process. Lett. 52(3): 2211-2239 (2020) - [j31]Manisha Singla, Debdas Ghosh, K. K. Shukla, Witold Pedrycz:
Robust twin support vector regression based on rescaled Hinge loss. Pattern Recognit. 105: 107395 (2020) - 2019
- [j30]Debdas Ghosh, Abhishek Singh, K. K. Shukla, Kartik Manchanda:
Extended Karush-Kuhn-Tucker condition for constrained interval optimization problems and its application in support vector machines. Inf. Sci. 504: 276-292 (2019) - [j29]Abhishek N. Tripathi, Hari Prabhat Gupta, Tanima Dutta, Durgesh Kumar, Satyabrat Jit, K. K. Shukla:
A Target Tracking System Using Directional Nodes in Wireless Sensor Networks. IEEE Syst. J. 13(2): 1618-1627 (2019) - 2018
- [j28]Abhishek N. Tripathi, Hari Prabhat Gupta, Tanima Dutta, Rahul Mishra, K. K. Shukla, Satyabrat Jit:
Coverage and Connectivity in WSNs: A Survey, Research Issues and Challenges. IEEE Access 6: 26971-26992 (2018) - [j27]Mridula Verma, Daya Ram Sahu, Kaushal Kumar Shukla:
VAGA: a novel viscosity-based accelerated gradient algorithm - Convergence analysis and applications. Appl. Intell. 48(9): 2613-2627 (2018) - [j26]Anoop Kumar Tiwari, Shivam Shreevastava, Tanmoy Som, Kaushal Kumar Shukla:
Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction. Expert Syst. Appl. 101: 205-212 (2018) - [j25]Anoop Kumar Tiwari, Shivam Shreevastava, Kaushal Kumar Shukla, Karthikeyan Subbiah:
New approaches to intuitionistic fuzzy-rough attribute reduction. J. Intell. Fuzzy Syst. 34(5): 3385-3394 (2018) - 2017
- [j24]Jayadeep Pati, Babloo Kumar, Devesh Manjhi, Kaushal K. Shukla:
A Comparison Among ARIMA, BP-NN, and MOGA-NN for Software Clone Evolution Prediction. IEEE Access 5: 11841-11851 (2017) - [j23]Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla:
Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset. Int. J. Pattern Recognit. Artif. Intell. 31(12): 1750040:1-1750040:15 (2017) - [j22]Ramesh Chand Pandey, Sanjay Kumar Singh, Kaushal K. Shukla:
A passive forensic method for video: Exposing dynamic object removal and frame duplication in the digital video using sensor noise features. J. Intell. Fuzzy Syst. 32(5): 3339-3353 (2017) - [j21]Mridula Verma, Kaushal Kumar Shukla:
A new accelerated proximal technique for regression with high-dimensional datasets. Knowl. Inf. Syst. 53(2): 423-438 (2017) - [j20]Mridula Verma, Kaushal Kumar Shukla:
A new accelerated proximal gradient technique for regularized multitask learning framework. Pattern Recognit. Lett. 95: 98-103 (2017) - 2016
- [j19]Ramesh Chand Pandey, Sanjay Kumar Singh, Kaushal K. Shukla:
Passive forensics in image and video using noise features: A review. Digit. Investig. 19: 1-28 (2016) - [j18]Mohit Mishra, Utkarsh Chaturvedi, Kaushal K. Shukla:
Heuristic algorithm based on molecules optimizing their geometry in a crystal to solve the problem of integer factorization. Soft Comput. 20(9): 3363-3371 (2016) - [j17]Madhushi Verma, Kaushal K. Shukla:
Fuzzy Metric Space Induced by Intuitionistic Fuzzy Points and its Application to the Orienteering Problem. IEEE Trans. Fuzzy Syst. 24(2): 483-488 (2016) - 2015
- [j16]Madhushi Verma, Kaushal K. Shukla:
Application of Fuzzy Optimization to the Orienteering Problem. Adv. Fuzzy Syst. 2015: 569248:1-569248:12 (2015) - [j15]Ramesh Chand Pandey, Sanjay Kumar Singh, Kaushal K. Shukla:
Passive Copy- Move Forgery Detection Using Speed-Up Robust Features, Histogram Oriented Gradients and Scale Invariant Feature Transform. Int. J. Syst. Dyn. Appl. 4(3): 70-89 (2015) - 2014
- [j14]Bharavi Mishra, Kaushal K. Shukla:
Software Defect Prediction Based on GUHA Data Mining Procedure and Multi-Objective Pareto Efficient Rule Selection. Int. J. Softw. Sci. Comput. Intell. 6(2): 1-29 (2014) - 2013
- [j13]Ashutosh Kumar Upadhyay, K. K. Shukla:
Geometrically nonlinear static and dynamic analysis of functionally graded skew plates. Commun. Nonlinear Sci. Numer. Simul. 18(8): 2252-2279 (2013) - [j12]Madhushi Verma, Kaushal K. Shukla:
A Greedy Algorithm for Fuzzy Shortest Path Problem using Quasi-Gaussian Fuzzy Weights. Int. J. Fuzzy Syst. Appl. 3(2): 55-70 (2013) - [j11]Kaushal K. Shukla, S. Sah:
Construction and maintenance of virtual backbone in wireless networks. Wirel. Networks 19(5): 969-984 (2013) - 2011
- [j10]Mohanchur Sarkar, Kaushal K. Shukla, Kankar S. Dasgupta:
Delay Resistant Transport Protocol for Deep Space Communication. Int. J. Commun. Netw. Syst. Sci. 4(2): 122-132 (2011) - [j9]Mahanth K. Gowda, Kaushal K. Shukla:
Energy and Throughput Optimized, Cluster Based Hierarchical Routing Algorithm for Heterogeneous Wireless Sensor Networks. Int. J. Commun. Netw. Syst. Sci. 4(5): 335-344 (2011) - 2009
- [j8]Pranab K. Muhuri, Kaushal K. Shukla:
Real-time scheduling of periodic tasks with processing times and deadlines as parametric fuzzy numbers. Appl. Soft Comput. 9(3): 936-946 (2009) - [j7]Bhaskar Biswas, Karan Jain, Vipul Mittal, Kaushal K. Shukla:
Exploiting tree structure of a web page for clustering. Int. J. Knowl. Web Intell. 1(1/2): 81-94 (2009) - 2008
- [j6]Pranab K. Muhuri, Kaushal K. Shukla:
Real-time task scheduling with fuzzy uncertainty in processing times and deadlines. Appl. Soft Comput. 8(1): 1-13 (2008) - 2004
- [j5]Arvind K. Tiwari, Kaushal K. Shukla:
Implementation of generalized cross validation based image denoising in parallel virtual machine environment. Digit. Signal Process. 14(2): 138-157 (2004) - 2003
- [j4]Munaga V. N. K. Prasad, V. N. Mishra, Kaushal K. Shukla:
Space partitioning based image compression using quality measures for subdivision decision. Appl. Soft Comput. 3(3): 273-282 (2003) - [j3]Pinaki Roy Chowdhury, Kaushal K. Shukla:
Incorporating fuzzy concepts along with dynamic tunneling for fast and robust training of multilayer perceptrons. Neurocomputing 50: 319-340 (2003) - 2001
- [j2]Munaga V. N. K. Prasad, Kaushal K. Shukla:
Tree Triangular Coding Image Compression Algorithms. Int. J. Image Graph. 1(4): 591-603 (2001) - 2000
- [j1]Kaushal K. Shukla:
Neuro-genetic prediction of software development effort. Inf. Softw. Technol. 42(10): 701-713 (2000)
Conference and Workshop Papers
- 2022
- [c24]Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla:
QL-SSA: An Adaptive Q-Learning based Squirrel Search Algorithm for Feature Selection. CEC 2022: 1-7 - [c23]Vandana Bharti, Aryan Singhal, Anant Saxena, Bhaskar Biswas, Kaushal Kumar Shukla:
Parallelization of corner sort with CUDA for many-objective optimization. GECCO 2022: 484-492 - 2020
- [c22]Prayas Jain, Mridula Verma, Kaushal Kumar Shukla:
Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms. IJCNN 2020: 1-6 - 2019
- [c21]Deevashwer Rathee, Thomas Schneider, K. K. Shukla:
Improved Multiplication Triple Generation over Rings via RLWE-Based AHE. CANS 2019: 347-359 - [c20]Madhushi Verma, Kaushal K. Shukla:
A New Fuzzy Algorithm for Delay Constrained Minimum Energy Transmission of Sensor Array Data in Wireless Sensor Networks. ICRAI 2019: 87-93 - 2017
- [c19]Prateep Upadhyay, S. K. Upadhyay, K. K. Shukla:
A Mathematical Model of Consumers' Buying Behaviour Based On Multiresolution Analysis. ITQM 2017: 564-571 - [c18]Mridula Verma, Kaushal Kumar Shukla:
Fast Multi-Modal Unified Sparse Representation Learning. ICMR 2017: 443-447 - [c17]Prayas Jain, Pranav Goel, Devang Kulshreshtha, Kaushal Kumar Shukla:
Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets. WASSA@EMNLP 2017: 58-65 - 2016
- [c16]Mridula Verma, Kaushal Kumar Shukla:
Performance comparison of proximal methods for regression with nonsmooth regularizers on real datasets. ICACCI 2016: 447-453 - [c15]Ramashish Gaurav, Mridula Verma, Kaushal Kumar Shukla:
Informed multimodal latent subspace learning via supervised matrix factorization. ICVGIP 2016: 36:1-36:8 - [c14]Mridula Verma, Prayas Jain, Kaushal Kumar Shukla:
A new faster first order iterative scheme for sparsity-based multitask learning. SMC 2016: 1603-1608 - [c13]Prakhar Jain, K. K. Shukla:
Cryptographic Assessment of SSL/TLS Servers Popular in India. SSCC 2016: 112-123 - 2015
- [c12]Anuranjan Kumar, Sahil Gupta, Sanjay Kumar Singh, Kaushal K. Shukla:
Comparison of various metrics used in collaborative filtering for recommendation system. IC3 2015: 150-154 - [c11]Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla:
Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data. ICNC 2015: 691-695 - [c10]Jayadeep Pati, Kaushal K. Shukla:
A Hybrid Technique for Software Reliability Prediction. ISEC 2015: 139-146 - [c9]Mohit Mishra, Vaibhav Gupta, Utkarsh Chaturvedi, Kaushal K. Shukla, Roman V. Yampolskiy:
A Study on the Limitations of Evolutionary Computation and other Bio-inspired Approaches for Integer Factorization. SCSE 2015: 603-610 - [c8]Mohit Mishra, Utkarsh Chaturvedi, Kaushal K. Shukla, Roman V. Yampolskiy:
A Modified Chaotic Firefly Algorithm for Solving Discrete Logarithm Problem and Analysis. SSCI 2015: 1885-1892 - 2014
- [c7]Ramesh Chand Pandey, Rishabh Agrawal, Sanjay Kumar Singh, Kaushal K. Shukla:
Passive Copy Move Forgery Detection Using SURF, HOG and SIFT Features. FICTA (1) 2014: 659-666 - 2012
- [c6]Mousumi Dhara, Kaushal K. Shukla:
Characteristics of restricted neighbourhood search algorithm and Markov clustering on modified power-law distribution. RAIT 2012: 520-525 - 2011
- [c5]Bharavi Mishra, Kaushal K. Shukla:
Support Vector Machine Based Fuzzy Classification Model for Software Fault Prediction. IICAI 2011: 693-708 - 2005
- [c4]Anshuman Singh, Siddharth Barman, Kaushal K. Shukla:
Secure Two-Party Context Free Language Recognition. ICDCIT 2005: 117-124 - 2002
- [c3]Arvind K. Tiwari, Kaushal K. Shukla:
Wavelet Transform Based Fuzzy Inference System for Power Quality Classification. AFSS 2002: 148-155 - [c2]Pinaki Roy Chowdhury, Kaushal K. Shukla:
On Generalization and K-Fold Cross Validation Performance of MLP Trained with EBPDT. AFSS 2002: 352-359 - [c1]Munaga V. N. K. Prasad, Kaushal K. Shukla, R. N. Mukherjee:
Implementation of BTTC Image Compression Algorithm Using Fuzzy Technique. AFSS 2002: 375-381
Informal and Other Publications
- 2021
- [i5]Shreyansh Singh, K. K. Shukla:
Privacy-preserving Machine Learning for Medical Image Classification. CoRR abs/2108.12816 (2021) - 2020
- [i4]Adit Agarwal, K. K. Shukla, Arjan Kuijper, Anirban Mukhopadhyay:
Understanding Interpretability by generalized distillation in Supervised Classification. CoRR abs/2012.03089 (2020) - 2019
- [i3]Deevashwer Rathee, Thomas Schneider, K. K. Shukla:
Improved Multiplication Triple Generation over Rings via RLWE-based AHE. IACR Cryptol. ePrint Arch. 2019: 577 (2019) - 2015
- [i2]Shalabh Vidyarthi, Kaushal K. Shukla:
Approximation Algorithms for P2P Orienteering and Stochastic Vehicle Routing Problem. CoRR abs/1501.06515 (2015) - 2013
- [i1]Shalabh Vidyarthi, Kaushal K. Shukla:
Approximation Algorithms for Vehicle Routing Problems with Stochastic Demands on Trees. CoRR abs/1304.5991 (2013)
Coauthor Index
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