International Conference on Innovative Computing and Communications

Constructing Interval Type-2 Fuzzy Systems (IT2FS) with Memetic Algorithm: Elucidating Performance with Noisy Data.- Secure Environment Establishment for Multipath Routing.- Comparative Analysis of Transfer Learning and Attention Driven Memory based Learning for Covid-19 Fake News Detection.- Review on Edge Computing Assisted D2D Networks.- Open Daylight SDN and NFV Integration in OpenStack Cloud: Open Source Approach for Improving Network Services.- K-MNSOA: K-Anonymity Model for Privacy in the Presence of Multiple Numerical Sensitive Overlapped Attributes.- Modelling 5G Data using Tree based Machine Learning Models.- A Novel Technique to Detect Inappropriate Content Accessed by Children on Smartphone.- Cold-Start and Data Sparsity Problems in Recommender System: A Concise Review.- A Hybrid Approach to Find COVID-19 Related Lung Infection Utilizing 2 Bit Image Processing.- Acute Leukemia Classification and Prediction in Blood Cells using Convolution Neural Network.- Process Based Multi-Level Homogeneous Ensemble Predictive Model for Analyzing Student's Academic Performance.- Exposure of Sensitive Data through Blockchain Wallets: A Comparative Analysis.- Classification of Sentiment Reviews for Indian Railways Using Machine Learning Methods.- A Review on Community Detection Using Deep Neural Networks with Enhanced Learning.

Dr. Deepak Gupta is an eminent academician and plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, PhD and post-doctorate supervision, etc. With 13 years of rich expertise in teaching and two years in industry, he focuses on rational and practical learning. He has contributed massive literature in the fields of human-computer interaction, intelligent data analysis, nature-inspired computing, machine learning and soft computing. He has served as Editor-in-Chief, Guest Editor, Associate Editor in SCI and various other reputed journals. He has completed his Post-Doc from Inatel, Brazil, and Ph.D. from Dr. APJ Abdul Kalam Technical University. He has authored/edited 46 books with national/international level publisher (Elsevier, Springer, Wiley, Katson). He has published 180 scientific research publications in reputed international journals and conferences including many SCI Indexed Journals of IEEE, Elsevier, Springer, Wiley and many more. He is the convener and organizer of 'ICICC' springer conference series.

Dr. Ashish Khanna has 17 years of expertise in Teaching, Entrepreneurship and Research & Development He received his Ph.D. degree from National Institute of Technology, Kurukshetra. He has completed his M. Tech. and B. Tech. GGSIPU, Delhi. He has completed his postdoc from Internet of Things Lab at Inatel, Brazil and University of Valladolid, Spain. He has published around 75 SCI indexed papers in IEEE Transaction, Springer, Elsevier, Wiley and many more reputed Journals. He has around 150 research articles in top SCI/ Scopus journals, conferences and book chapters. He is co-author of around 35 edited and text books. His research interest includes MANET, FANET, IoT, machine learning and many more. He has served the research field as Keynote Speaker/ Faculty Resource Person/ Session Chair/ Reviewer/ TPC member/ Post-doctorate Supervision. He is Convener