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ORCIDMukesh M. Raghuwanshi
Person information
- affiliation: Yeshwantrao Chavan College of Engineering, Nagpur, India
- affiliation: Rajiv Gandhi Collge of Engineering, Nagpur, India
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2020 – today
- 2022
[j10]Sagarkumar S. Badhiye
, Prashant N. Chatur, Mukesh M. Raghuwanshi:
Time Series Forecasting Using Range Regression Automata. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30(6): 1035-1063 (2022)
2010 – 2019
- 2017
- [j9]Madhuri A. Tayal, Mukesh M. Raghuwanshi, Latesh G. Malik:
ATSSC: Development of an approach based on soft computing for text summarization. Comput. Speech Lang. 41: 214-235 (2017) - 2015
- [c17]Anand N. Khobragade, Mukesh M. Raghuwanshi:
Contextual Soft Classification Approaches for Crops Identification Using Multi-sensory Remote Sensing Data: Machine Learning Perspective for Satellite Images. CSOC (1) 2015: 333-346 - [c16]Shailendra S. Aote, Mukesh M. Raghuwanshi, Latesh G. Malik:
Particle Swarm Optimization Based on the Winner's Strategy. SEMCCO 2015: 201-213 - 2014
- [j8]Rahila Patel, Mukesh M. Raghuwanshi, Latesh G. Malik:
Multi-Objective Genetic Algorithm with Strategies for Dying of Solution. Int. J. Appl. Evol. Comput. 5(1): 69-85 (2014) - [j7]Kavita R. Singh, Mukesh A. Zaveri, Mukesh M. Raghuwanshi:
Rough set based pose invariant face recognition with mug shot images. J. Intell. Fuzzy Syst. 26(2): 523-539 (2014) - [j6]Kavita R. Singh, Mukesh A. Zaveri, Mukesh M. Raghuwanshi:
Independent analysis of feature based face recognition algorithms under varying poses. Int. J. Knowl. Based Intell. Eng. Syst. 18(2): 61-71 (2014) - [j5]Kavita R. Singh, Mukesh A. Zaveri, Mukesh M. Raghuwanshi:
A Rough Neurocomputing Approach for Illumination Invariant Face Recognition System. Trans. Rough Sets 18: 34-51 (2014) - [c15]Shailendra S. Aote, Mukesh M. Raghuwanshi, Latesh G. Malik:
A New Particle Swarm Optimizer with Cooperative Coevolution for Large Scale Optimization. FICTA (1) 2014: 781-789 - [c14]Madhuri A. Tayal, Mukesh M. Raghuwanshi, Latesh G. Malik:
Word net based Method for Determining Semantic Sentence Similarity through various Word Senses. ICON 2014: 139-145 - [c13]Amit R. Khaparde, Mukesh M. Raghuwanshi, Latesh G. Malik:
Distance-Based Analysis for Base Vector Selection in Mutation Operation of Differential Evolution Algorithm. SocProS (1) 2014: 431-442 - [i4]Nishant Vadnere, Rupa G. Mehta, Dipti P. Rana, Narendra J. Mistry, Mukesh M. Raghuwanshi:
Incremental classification using Feature Tree. CoRR abs/1402.1257 (2014) - [i3]P. Chaudhari, Dipti P. Rana, Rupa G. Mehta, Narendra J. Mistry, Mukesh M. Raghuwanshi:
Discretization of Temporal Data: A Survey. CoRR abs/1402.4283 (2014) - [i2]Prashant Dahiwale, Mukesh M. Raghuwanshi, Latesh G. Malik:
PDD Crawler: A focused web crawler using link and content analysis for relevance prediction. CoRR abs/1411.4366 (2014) - 2013
- [j4]Kavita R. Singh, Mukesh A. Zaveri, Mukesh M. Raghuwanshi:
Rough membership function based illumination classifier for illumination invariant face recognition. Appl. Soft Comput. 13(10): 4105-4117 (2013) - [j3]Kavita R. Singh, Mukesh A. Zaveri, Mukesh M. Raghuwanshi:
Face identification under uncontrolled environment with LGFSV face representation technique. Central Eur. J. Comput. Sci. 3(3): 129-148 (2013) - [c12]Rahila Patel, Mukesh M. Raghuwanshi, Latesh G. Malik:
Ensemble of Dying Strategies Based Multi-objective Genetic Algorithm. SEMCCO (1) 2013: 492-503 - [c11]Rahila Patel, Mukesh M. Raghuwanshi, Latesh G. Malik:
A Preliminary Study on Impact of Dying of Solution on Performance of Multi-objective Genetic Algorithm. SocProS (2) 2013: 1-15 - [i1]Rahila Patel, Urmila Shrawankar, Mukesh M. Raghuwanshi, Anil N. Jaiswal:
Performance Enhancement of Distributed Quasi Steady-State Genetic Algorithm. CoRR abs/1305.2830 (2013) - 2012
- [c10]Kavita R. Singh, Mukesh A. Zaveri, Mukesh M. Raghuwanshi:
A Rough Neurocomputing Approach for Illumination Invariant Face Recognition System. RSKT 2012: 91-100 - 2011
- [j2]Rahila Patel, Mukesh M. Raghuwanshi, Urmila N. Shrawankar:
Genetic Algorithm with Histogram Construction Technique. J. Inf. Hiding Multim. Signal Process. 2(4): 344-353 (2011) - [c9]Rahila Patel, Mukesh M. Raghuwanshi, Latesh G. Malik:
An Approach Based on Grid-Value for Selection of Parents in Multi-objective Genetic Algorithm. SEMCCO (1) 2011: 265-273 - 2010
- [c8]Rahila Patel, Mukesh M. Raghuwanshi:
Review on Real Coded Genetic Algorithms Used in Multiobjective Optimization. ICETET 2010: 610-613 - [c7]Kavita R. Singh, Mukesh A. Zaveri, Mukesh M. Raghuwanshi:
Extraction of Pose Invariant Facial Features. ICT 2010: 535-539 - [c6]Prashant Dahiwale, A. Mokhade, Mukesh M. Raghuwanshi:
Intelligent web crawler. ICWET 2010: 613-617
2000 – 2009
- 2009
- [c5]Rahila Patel, Urmila N. Shrawankar, Mukesh M. Raghuwanshi:
Genetic Algorithm with Histogram Construction Technique. ICETET 2009: 615-618 - 2008
- [c4]Rahila H. Sheikh, Mukesh M. Raghuwanshi, Anil N. Jaiswal:
Genetic Algorithm Based Clustering: A Survey. ICETET 2008: 314-319 - 2007
- [c3]Mukesh M. Raghuwanshi, O. G. Kakde:
Study of Operator's adaptability and scale-up study for RAGA. IEEE Congress on Evolutionary Computation 2007: 2866-2871 - 2006
- [j1]Mukesh M. Raghuwanshi, O. G. Kakde:
Probability distribution based recombination operator to solve unimodal and multi-modal problems. Int. J. Knowl. Based Intell. Eng. Syst. 10(3): 247-255 (2006) - 2005
- [c2]Mukesh M. Raghuwanshi, O. G. Kakde:
Multi-parent Recombination operator with Polynomial or Lognormal Distribution for Real Coded Genetic Algorithm. IICAI 2005: 3274-3290 - [c1]Mukesh M. Raghuwanshi, O. G. Kakde:
Real-Code Self-Adaptive Genetic Algorithm. IICAI 2005: 3291-3302
Coauthor Index
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