Publications

Book

S. MEHTA, S. TIWARI, P. SIARRY, M. A. JABBAR, “Tools, Languages, Methodologies for Representing Semantics on the Web of Things” , ISTE , USA, 2022. Link: shorturl.at/jkKU7

H. Banati, S. Mehta, P. Kaur, “Nature Inspired Algorithms for Big Data Frameworks”, IGI Global, USA, 2019

Book Chapters

  • P Kaur, S Mehta, Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment, Energy Conservation Solutions for Fog-Edge Computing Paradigms(2022), pp. 49-63, Springer
  • A. Dutta, P. Agarwal, A. Mittal, S. Khandelwal, and S. Mehta, ‘Detection of Diabetic Retinopathy Using Ensemble Learning Techniques.’ (2022),” in Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools and Applications, 2022, pp. 153–175.
  • Agarwal P., Mehta S., “Subspace Clustering of High Dimensional Data using Differential Evolution”, Nature-Inspired Algorithms for Big Data Frameworks, IGI Global, pp. 47-74, 2019
  • S Mehta, P Kaur, “Scheduling Data Intensive Scientific Workflows in Cloud Environment Using Nature Inspired Algorithms”, Nature-Inspired Algorithms for Big Data Frameworks, 196-217
  • Sunita Chand, Shikha Mehta, Community Detection Using Nature Inspired Algorithm, Hybrid Intelligence for Social Networks, Springer, 47-76, Springer, 2017.
  • Mehta, S. and Banati, H, An Efficient Approach for Populating Deep Web Repositories Using SFLA, Evolutionary Computation: Techniques and Applications, February 29, 2016 Forthcoming by Apple Academic Press Reference – 595 Pages ISBN 9781771883368 – CAT# N11616
  • Mehta, S., Bajaj M. and Sambyal P “HTML for Advance Learners,” Web Technologies Book, Laxmi Publications,[Book Chapter][In Press]
  • Mehta, S., Bajaj M. and Banati, H, “An Intelligent Approach for Virtual Chemistry Laboratory,” Advanced Research on Hybrid Intelligent Techniques and Applications, IGI Global, pp. pages 483-517.
  • Bajaj M., Mehta, S. and Banati, H, “A soft computing approach for Targeted Product Promotion on Social Networks”, Hybrid Soft Computing Approaches: Research and Applications, Studies in Computational Intelligence Series Springer India Pvt. Ltd., 271-304, Volume 611 2016, ISBN: 978-81-322-2543-0 (Print) 978-81-322-2544-7 (Online)

International Journals

  • Mehta, S. Enhanced SFLA with spectral clustering based co-evolution for 24 constrained industrial optimization problems. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-022-13790-3
  • Mehta S., Agglomerative Clustering enhanced GA for optimal seed selection in Online Social Networks, International Journal of Web Information Systems, Emerald Publishing Limited 2022, Published Online[SCOPUS]
  • Agarwal P, Mehta S, Hybrid Nature Inspired Algorithm for Feature Selection in Alzheimer Detection using Brain MRI Image, International Journal of Computational Intelligence and Applications[Accepted], [SCOPUS]
  • Mehta S., Goyal M., Efficient Bitcoin Mining Using Genetic Algorithm-Based Proof of Work, International Journal of Fuzzy System Applications (IJFSA) 11(2), 1-17, 2022.[SCOPUS]
  • Agarwal S , Mehta S, Online Behavior Balancing Model for Influence Maximization in Twitter, Recent Advances in Computer Science and Communications 2022; 15(8) . https://dx.doi.org/10.2174/2666255813666201208122616. [SCOPUS]
  • S Mehta, P Kaur,”Efficient Computation Offloading in Mobile Cloud Computing with Nature-Inspired Algorithms”, International Journal of Computational Intelligence and Applications, Vol. 18, No. 04, 1950023 (2019), doi: https://doi.org/10.1142/S1469026819500238[SCOPUS]
  • Agarwal, S. and Mehta, S. “Effective influence estimation in twitter using temporal, profile, structural and interaction characteristics.” Information Processing & Management 57, no. 6 (2020): 102321. (Scopus) (SCIE) (Impact Factor: 4.78)
  • S. Mehta, S. Sharma, S.Anand, S. Sharma, A. Goel, “Random Forest Algorithm for Enhanced Prediction of Drug Target Interactions,International Journal of Innovative Technology and Exploring Engineering (IJITEE)” , 9(4), ISSN: 2278-3075, February 2020
  • Agarwal P., Mehta S., “ABC_DE_FP: a novel hybrid algorithm for complex continuous optimisation problems,” International Journal Bio-Inspired Computations, Inderscience, 2018
  • S Mehta, P Kaur,”Efficient Computation Offloading in Mobile Cloud Computing with Nature-Inspired Algorithms”, International Journal of Computational Intelligence and Applications, Vol. 18, No. 04, 1950023 (2019),doi: https://doi.org/10.1142/S1469026819500238
  • S. Mehta, P. Agarwal, P. Shrivastava, J. Barlawala, “Differential Bond Energy Algorithm for Optimal Vertical Fragmentation of Distributed Databases”, Journal of King Saud University Computer and Information Sciences, 2018.doi: https://doi.org/10.1016/j.jksuci.2018.09.020
  • Janardan, Shikha Mehta, ” Concept drift in Streaming Data Classification: Algorithms, Platforms and Issues”, Information Technology and Quantitative Management (ITQM 2017), Procedia Computer Science, Volume 122, 2017, Pages 804–811, Elsevier
  •  Shubham Agarwal, Lavish Yadav, Shikha Mehta, “Cricket Team Prediction with Hadoop: Statistical Modeling Approach”, Information Technology and Quantitative Management (ITQM 2017), Procedia Computer Science, Volume 122, 2017, Pages 525–532, Elsevier
  • S. Agarwal and S. Mehta, “Approximate Shortest Distance Computing Using k-Medoids Clustering”,  Ann. Data. Sci. (2017), Volume 4, Issue 4, pp 547–564 | https://doi.org/10.1007/s40745-017-0119-y
  • P. Agarwal and S. Mehta, “Empirical Analysis of Five Nature Inspired Algorithms on Real Parameter Optimization Problems” Artificial Intelligence Review, Artificial Intelligence Review, pp. 1-57, 2017 (SCI Indexed Impact Factor-1.731).
  • Mandhatya Singh, Shikha Mehta, Navrattan Kaur, “Evaluation of Metaheuristic Algorithms in Optimizing Association Rule Mining”, International Conference on Recent Trends in Engineering, Science and Technology 2016, 1 June 2016, Hyderabad, India, Elsevier Energy Procedia
  • P. Kaur, S. Mehta, “Resource Provisioning and Work flow Scheduling in Clouds using Augmented Shuffled Frog Leaping Algorithm”, Journal of Parallel and Distributed Computing, Elsevier (In Press) ( Impact Factor 1.320) Nov 2016 available online
  • P. Agarwal and S. Mehta, “Enhanced Flower Pollination Algorithm on Data Clustering “, International Journal of Computers and Applications ,Taylor and Francis, accepted on 31st July, 2016, (indexed in Scopus)
  • Mehta, S., Memetic Algorithm with Constrained Local search for Large Scale Global Optimization, Journal of Intelligent Systems. ISSN (Online) 2191-026X, ISSN (Print) 0334-1860, DOI: 10.1515/jisys-2015-0103, April 2016, De Gruyter.
  • Agarwal, P. and Mehta, S., “Nature-Inspired Algorithms: State-of-Art, Problems and Prospects” International Journal of Computer Applications, Volume 100 – Number 14, Year of Publication: 2014
  • Mehta, S. and Banati, H., “Context aware Filtering Using Social Behavior of Frogs”, Swarm and Evolutionary Computation, Volume 17, August 2014, Pages 25–36, Elsevier ( Impact Factor 2.9, Five year impact factor 5.5)
  • Mehta, S. and Banati, H., “Improved shuffled frog leaping algorithm for continuous optimization adapted SEVO toolbox”, International. J. of Advanced Intelligence Paradigms 2013 – Vol. 5, No.1/2 pp. 31 – 44.Inderscience Publishers, UK.
  • Mehta, S. and Banati, H., “Social Behaviour based Metrics to enhance Collaborative Filtering”, International Journal of Computer Information Systems and Industrial Management Applications. ISSN 2150-7988 Volume 6 (2014) pp. 217 – 226, MIR Labs, USA
  • Banati, H., Mehta, S.,”A Multi-perspective evaluation of MA and GA for collaborative filtering recommender system”, International journal of computer science & information Technology (IJCSIT) Vol.2, No.5, pp103-122 October 2010. DOI: 10.5121/ijcsit.2010.2508 [Indexed in SCIRUS, Inspec, EBSCO etc].

International Conferences

  • Mehta, S., Jain, T., Aggarwal, N. (2021). Multilingual Short Text Analysis of Twitter Using Random Forest Approach. In: Villazón-Terrazas, B., Ortiz-Rodríguez, F., Tiwari, S., Goyal, A., Jabbar, M. (eds) Knowledge Graphs and Semantic Web. KGSWC 2021. Communications in Computer and Information Science, vol 1459. Springer, Cham.pp. 84-92.  https://doi.org/10.1007/978-3-030-91305-2_7
  • A. Gupta and S. Mehta, “Automatic Stance Detection for Twitter Data,” 2022 1st International Conference on Informatics (ICI), 2022, pp. 223-225, doi: 10.1109/ICI53355.2022.9786920.IEEE
  • P. Agarwal, N. Farooqi, A. Gupta, S. Mehta, and S. Khandelwal, “A New Harris Hawk Whale Optimization Algorithm for Enhancing Neural Networks,” in International Conference on Contemporary Computing, 2021, pp. 179–186.
  • S. Mehta, M. Singh, N. Kaur,”Firefly Algorithm For Optimization of Association Rules”,2020 6th International Conference on Signal Processing and Communication (ICSC), pp 143-148, IEEE.
  • Agarwal, S. and Mehta, S., “GA with k-medoid approach for optimal seed selection to maximize social influence.”International Conference on Innovative Computing and Communications, pp. 97-106. Springer, Singapore, 2020. (Scopus) 
  • P Kaur, S Mehta, “Efficient computation offloading using grey wolf optimization algorithm” – AIP Conference Proceedings, 2061, 020011 (2019); https://doi.org/10.1063/1.5086633
  • S Mehta, P Rana, S Singh, A Sharma, P Agarwal ,”Ensemble Learning Approach for Enhanced Stock Prediction”, 2019 Twelfth International Conference on Contemporary Computing (IC3), 1-5, IEEE.
  • Omji Mishra, Pooja Lodhi and Shikha Mehta, Document Oriented NoSQL Databases: An Empirical Study, The 4th International Conference on Recent Developments in Science, Engineering and Technology (REDSET 2017).
  • E. Annapurna, Munazza Ramzan, Shikha Mehta, Are Tweets the real estimators of elections results, IC3 2017.
  • Ayushee Verma, Shikha Mehta, A Comparative Study of Ensemble Learning Methods for Classification in Bioinformatics, 7th International Conference on Cloud Computing, Data Science & Engineering  CONFLUENCE 2017, pp. 155-158.
  • Agarwal, P. and Mehta, Comparative Analysis of Nature Inspired Algorithms on Data Clustering, 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 119-124, 2015
  • Mehta S. and Banati H., “Trust aware social context filtering using Shuffled Frog Leaping Algorithm, International conference on Hybrid Intelligent Systems (HIS 2012), pp. 342-347.
  • Banati, H. and Mehta, S., “SEVO: Bio-inspired Analytical Tool for Uni-modal and Multimodal Optimization”, Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) Advances in Intelligent and Soft Computing, Springer 130, pp. 557-566
  • Banati, H. and Mehta, S., “Memetic Collaborative filtering based Recommender System”, The 2nd Vaagdevi International Conference on Information Technology for Real World Problems, (VCON’10), IEEE, pp. 102-107
  • Mehta, S., Sachdeva, B., Bhargava, R. and Banati, H., “An Evolutionary Approach to Intelligent Planning”, International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO 2010), LNCS 6466, pp. 305–313.
  • Banati, H. and Mehta, S., “Evolution of Contextual queries using Shuffled Frog Leaping Algorithm”, 2010 International Conference on Advances in Communication, Network, and Computing, IEEE, pp. 360-365
  • Banati, H. and Mehta, S., “VibrantSearch: A BDI Model of Contextual Search Engine”, International Conference on Next Generation Web Services Practices (NWeSP 2010), pp. 623-629.
  • Mehta, S., Banati, H. and Bedi, P., “BDI Planning Approach to Distributed MultiAgent Based Semantic Search Engine”, International conference on distributed computing and artificial Intelligence, IWANN 2009, Part II, LNCS 5518, pp. 25–28
  • Shikha Mehta, Ankush Gulati, Ankit Kalra, “A Hybrid Model for a Search Engine “, International Conference on Artificial Intelligence (ICAI’08:July 14-17, 2008 ), Las Vegas.[Indexed in SCOPUS] [Indexed in DBLP]
  • Shikha Mehta and K. Anusha, ”An Expert System for Health Care Specialists: A Fuzzy Data Mining Approach” , International Conference on Artificial Intelligence (ICAI’08: July 14-17, 2008 ), Las Vegas, .[Indexed in SCOPUS] [Indexed in DBLP]
  • Shikha Mehta, Varun Kumar, Dr. Dharmendra ,”Knowledge discovery through Fuzzy Logic for Improving the efficiency of Immunization Programme in Indian State”, International Conference on Information Technology and management, Dubai, March 6-8, ICISTM, 08.
  • Shikha Mehta ne Kakkar, Varun Kumar,” Decisions Through Knowledge Mining-A Dynamic Approach to Decision Making”. National Seminar on Managerial issues in Seamless Economy”, Department of Business Management, G.J.U.Hisar , March 27-28, 2004.
  • Shikha Mehta ne Kakkar , “IT and its enabled Services-Problems and Prospects” National Seminar on “Problems and Prospects of Small Scale Industries in North –Western India” , Department of Business Economics, G.J.U.Hisar , March 8-9, 2003.