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Kamal Raj Pardasani
Person information
- affiliation: Maulana Azad National Institute of Technology (MANIT), Department of Mathematics, Bioinformatics and Computer Applications, Bhopal, India
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2020 – today
- 2026
[j28]Vaibhav Sharma
, Kamal Raj Pardasani:
Meta-Federated Learning for Robust Adaptive Control in Non-Stationary Environments: A Lyapunov-Guided Approach. IEEE Control. Syst. Lett. 10: 175-180 (2026)- 2025
[j27]Chhaya Singh
, Neeraj Jain
, Neeru Adlakha, Kamal Raj Pardasani:
Type-2 fuzzy support vector machine model for conformational epitope prediction. Netw. Model. Anal. Health Informatics Bioinform. 14(1): 4 (2025)- 2023
[j26]Chhaya Singh
, Neeru Adlakha, Kamal Raj Pardasani:
Fuzzy Deep Learning Model for Prediction of Conformational Epitope. SN Comput. Sci. 4(6): 705 (2023)- 2022
[i10]Akanksha Saxena, Jai Prakash Jaiswal, K. R. Pardasani:
Convergence Criteria of a Three Step Scheme under generalized Lipschitz Condition in Banach Spaces. CoRR abs/2203.00240 (2022)- 2021
[j25]Sana Akbar
, Kamal Raj Pardasani, Farhan Khan:
Swarm optimization-based neural network model for secondary structure prediction of proteins. Netw. Model. Anal. Health Informatics Bioinform. 10(1): 33 (2021)
[j24]Sana Akbar
, Kamal Raj Pardasani, Nihar Ranjan Panda:
PSO Based Neuro-fuzzy Model for Secondary Structure Prediction of Protein. Neural Process. Lett. 53(6): 4593-4612 (2021)
[j23]Rayed AlGhamdi
, Azra Aziz, Mohammed Alshehri
, Kamal Raj Pardasani, Tarique Aziz:
Deep learning model with ensemble techniques to compute the secondary structure of proteins. J. Supercomput. 77(5): 5104-5119 (2021)
[i9]Akanksha Saxena, Jai Prakash Jaiswal, K. R. Pardasani:
Broadening the convergence domain of Seventh-order method satisfying Lipschitz and Hölder conditions. CoRR abs/2112.04080 (2021)
[i8]Akanksha Saxena, Jai Prakash Jaiswal, K. R. Pardasani:
Extended Local Convergence for Seventh order method with ψ-continuity condition in Banach Spaces. CoRR abs/2112.06177 (2021)- 2020
[j22]Gaurav Sharma
, Vaibhav Sharma
, Kamal Raj Pardasani
, Mohammed Alshehri
:
Soft Set Based Intelligent Assistive Model for Multiobjective and Multimodal Transportation Problem. IEEE Access 8: 102646-102656 (2020)
[j21]Alekh Gour
, K. R. Pardasani:
Type II fuzzy set-based data analytics to explore amino acid associations in protein sequences of Swine Influenza Virus. Appl. Soft Comput. 88: 105856 (2020)
[j20]Arunodaya Raj Mishra, Pratibha Rani
, Abbas Mardani
, Kamal Raj Pardasani, Kannan Govindan
, Melfi Alrasheedi:
Healthcare evaluation in hazardous waste recycling using novel interval-valued intuitionistic fuzzy information based on complex proportional assessment method. Comput. Ind. Eng. 139: 106140 (2020)
[j19]Akarsh Aggarwal
, Mohammed Alshehri
, Manoj Kumar, Osama Alfarraj
, Purushottam Sharma
, Kamal Raj Pardasani:
Landslide data analysis using various time-series forecasting models. Comput. Electr. Eng. 88: 106858 (2020)
[j18]Pratibha Rani
, Arunodaya Raj Mishra
, Kamal Raj Pardasani:
A novel WASPAS approach for multi-criteria physician selection problem with intuitionistic fuzzy type-2 sets. Soft Comput. 24(3): 2355-2367 (2020)
[j17]Arunodaya Raj Mishra, Pratibha Rani
, Kamal Raj Pardasani, Abbas Mardani
, Zeljko Stevic, Dragan Pamucar
:
A novel entropy and divergence measures with multi-criteria service quality assessment using interval-valued intuitionistic fuzzy TODIM method. Soft Comput. 24(15): 11641-11661 (2020)
2010 – 2019
- 2019
[j16]Akshara Makrariya
, Kamal Raj Pardasani:
Numerical simulation of thermal changes in tissues of woman's breast during menstrual cycle in different stages of its development. Int. J. Simul. Process. Model. 14(4): 348-359 (2019)
[j15]Jigyasa Bisaria, Kamal Raj Pardasani:
Mining Multi-Dimensional Intra and Inter-Association Patterns of Call Records for Targeted Advertising using Multi-Granulation Rough Sets. Informatica (Slovenia) 43(3) (2019)
[j14]Akshara Makrariya
, Kamal Raj Pardasani
:
Numerical study of the effect of non-uniformly perfused tumor on heat transfer in women's breast during menstrual cycle under cold environment. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 9 (2019)- 2018
[j13]Parvaiz Ahmad Naik, Kamal Raj Pardasani:
2D finite-element analysis of calcium distribution in oocytes. Netw. Model. Anal. Health Informatics Bioinform. 7(1): 10 (2018)- 2017
[j12]Amita Jain
, Kamal Raj Pardasani:
Fuzzy-soft-fuzzy set model for mining amino acid associations in peptide sequences of Mycobacterium tuberculosis complex (MTBC). Int. J. Data Min. Bioinform. 17(1): 1-24 (2017)
[j11]Parvaiz Ahmad Naik, Kamal Raj Pardasani:
Three-dimensional finite element model to study calcium distribution in oocytes. Netw. Model. Anal. Health Informatics Bioinform. 6(1): 16 (2017)- 2016
[j10]Amita Jain
, Kamal Raj Pardasani
:
Fuzzy soft set model for mining amino acid associations in peptide sequences of Mycobacterium tuberculosis complex (MTBC). J. Intell. Fuzzy Syst. 31(1): 259-273 (2016)- 2015
[j9]Tannu Kumari, Kamal Raj Pardasani
:
Mining amino acid association patterns in class B GPCRs. Int. J. Bioinform. Res. Appl. 11(3): 219-232 (2015)
[j8]Somdutt Mujwar
, Kamal Raj Pardasani
:
Prediction of riboswitch as a potential drug target and design of its optimal inhibitors for Mycobacterium tuberculosis. Int. J. Comput. Biol. Drug Des. 8(4): 326-347 (2015)
[j7]Amita Jain
, Kamal Raj Pardasani:
Mining fuzzy amino acid associations in peptide sequences of mycobacterium tuberculosis complex (MTBC). Netw. Model. Anal. Health Informatics Bioinform. 4(1): 3 (2015)
[j6]Prakash A. Nemade
, Kamal Raj Pardasani:
Fuzzy support vector machine model to predict human death domain protein-protein interactions. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 5 (2015)- 2011
[j5]Lavanya Rishishwar
, Bhasker Pant, Kumud Pant, Kamal Raj Pardasani
:
Mining Genomic Patterns in Mycobacterium tuberculosis H37Rv Using a Web Server Tuber-Gene. Genom. Proteom. Bioinform. 9(4-5): 171-178 (2011)- 2010
[j4]Mamta Agrawal
, Neeru Adlakha, K. R. Pardasani:
Three dimensional finite element model to study heat flow in dermal regions of elliptical and tapered shape human limbs. Appl. Math. Comput. 217(8): 4129-4140 (2010)
[i7]Pratima Gautam, Neelu Khare, K. R. Pardasani:
A Model for Mining Multilevel Fuzzy Association Rule in Database. CoRR abs/1001.3488 (2010)
[i6]Sonal Shrivastava, K. R. Pardasani, M. M. Malik:
SVM Model for Identification of human GPCRs. CoRR abs/1002.3983 (2010)
[i5]Virendra Kumar Shrivastava, Parveen Kumar, K. R. Pardasani:
FP-tree and COFI Based Approach for Mining of Multiple Level Association Rules in Large Databases. CoRR abs/1003.1821 (2010)
[i4]Pratima Gautam, K. R. Pardasani:
A Novel Approach For Discovery Multi Level Fuzzy Association Rule Mining. CoRR abs/1003.4068 (2010)
2000 – 2009
- 2009
[j3]Tiratha Raj Singh, Kamal Raj Pardasani
:
Ambush hypothesis revisited: Evidences for phylogenetic trends. Comput. Biol. Chem. 33(3): 239-244 (2009)
[j2]Tiratha Raj Singh, Kamal Raj Pardasani
:
In silico Analysis of Evolutionary Patterns in Restriction Endonucleases. Silico Biol. 9(1-2): 45-53 (2009)
[j1]Anjana Pandey, K. R. Pardasani:
PPCI Algorithm for Mining Temporal Association Rules in Large Databases. J. Inf. Knowl. Manag. 8(4): 345-352 (2009)
[i3]Anjana Pandey, K. R. Pardasani:
Rough Set Model for Discovering Hybrid Association Rules. CoRR abs/0906.4172 (2009)
[i2]Jigyasa Bisaria, Namita Shrivastava, Kamal Raj Pardasani:
A Rough Sets Partitioning Model for Mining Sequential Patterns with Time Constraint. CoRR abs/0906.4327 (2009)
[i1]Neelu Khare, Neeru Adlakha, K. R. Pardasani:
An Algorithm for Mining Multidimensional Fuzzy Association Rules. CoRR abs/0909.5166 (2009)- 2008
[c1]Ramjeevan Singh Thakur
, R. C. Jain, K. R. Pardasani:
Graph theoretic based algorithm for mining frequent patterns. IJCNN 2008: 628-632
Coauthor Index

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last updated on 2026-03-31 23:38 CEST by the dblp team
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