International Conference on Innovative Computing and Communications (eBook, PDF)
Proceedings of ICICC 2022, Volume 1
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International Conference on Innovative Computing and Communications (eBook, PDF)
Proceedings of ICICC 2022, Volume 1
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This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.…mehr
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This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Produktdetails
- Produktdetails
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 26. September 2022
- Englisch
- ISBN-13: 9789811928215
- Artikelnr.: 65960228
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 26. September 2022
- Englisch
- ISBN-13: 9789811928215
- Artikelnr.: 65960228
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 and Organizer of ‘ICICC’ conference series.
Dr. Siddhartha Bhattacharyya (M’10–SM’13) received the bachelor’s degree in physics, and the bachelor’s and master’s degrees in optics and optoelectronics from the University of Calcutta, Kolkata, India, in 1995, 1998 and 2000, respectively, and the Ph.D. degree in computer science and engineering from Jadavpur University, Kolkata, in 2008. He is currently serving as Principal of Rajnagar Mahavidyalaya, Birbhum, India. Prior to this, he was Professor with the Department of Computer Science and Engineering, Christ University, Bengaluru, India. He also served as Principal of the RCC Institute of Information Technology, Kolkata. He served as Senior Research Scientist with the Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czech Republic. He is a full foreign member of the Russian Academy of Natural Sciences. He has co-authored six books, co-edited 76 books and has authoredor co-authored more than 300 research publications in international journals and conference proceedings. He holds four patents. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence, social networks and quantum computing.
Dr. Aboul Ella Hassanein is Founder and Head of the Egyptian Scientific Research Group (SRGE). Hassanien has more than 1000 scientific research papers published in prestigious international journals and over 50 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment. Prof. Hassanien won several awards including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award and received the superiority of scientific - University Award (Cairo University, 2013). Also, he honored in Egypt as the best researcher in Cairo University in 2013. He was also received the Islamic Educational, Scientific and Cultural Organization (ISESCO) prize on Technology (2014) and received the state award for excellence in engineering sciences 2015.
Dr. Sameer Anand is currently working as Assistant Professor in the Department of Computer science at Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He has received his M.Sc., M.Phil, and Ph.D. (Software Reliability) from Department of Operational Research, University of Delhi. He is a recipient of ‘Best Teacher Award’ (2012) instituted by Directorate of Higher Education, Govt. of NCT, Delhi. The research interest of Dr. Anand includes operational research, software reliability and machine learning. He has completed an Innovation project from the University of Delhi. He has worked in different capacities in InternationalConferences. Dr. Anand has published several papers in the reputed journals like IEEE Transactions on Reliability, International journal of production research (Taylor & Francis), International Journal of Performability Engineering, etc. He is a member of Society for Reliability Engineering, Quality and Operations Management. Dr. Sameer Anand has more than 16 years of teaching experience.
Dr. Ajay Jaiswal is currently serving as Assistant Professor in the Department of Computer Science of Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He is a co-editor of two books/Journals and co-author of dozens of research publications in International Journals and conference proceedings. His research interest includes pattern recognition, image processing, and machine learning. He has completed an interdisciplinary project titled ‘Financial Inclusion-Issues and Challenges: An Empirical Study’ as Co-PI. This project was awarded by the University of Delhi. He obtained his masters from the University of Roorkee (now IIT Roorkee) and Ph.D. from Jawaharlal Nehru University, Delhi. He is a recipient of the best teacher award from the Government of NCT of Delhi. He has more than nineteen years of teaching experience.
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 and Organizer of ‘ICICC’ conference series.
Dr. Siddhartha Bhattacharyya (M’10–SM’13) received the bachelor’s degree in physics, and the bachelor’s and master’s degrees in optics and optoelectronics from the University of Calcutta, Kolkata, India, in 1995, 1998 and 2000, respectively, and the Ph.D. degree in computer science and engineering from Jadavpur University, Kolkata, in 2008. He is currently serving as Principal of Rajnagar Mahavidyalaya, Birbhum, India. Prior to this, he was Professor with the Department of Computer Science and Engineering, Christ University, Bengaluru, India. He also served as Principal of the RCC Institute of Information Technology, Kolkata. He served as Senior Research Scientist with the Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czech Republic. He is a full foreign member of the Russian Academy of Natural Sciences. He has co-authored six books, co-edited 76 books and has authoredor co-authored more than 300 research publications in international journals and conference proceedings. He holds four patents. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence, social networks and quantum computing.
Dr. Aboul Ella Hassanein is Founder and Head of the Egyptian Scientific Research Group (SRGE). Hassanien has more than 1000 scientific research papers published in prestigious international journals and over 50 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment. Prof. Hassanien won several awards including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award and received the superiority of scientific - University Award (Cairo University, 2013). Also, he honored in Egypt as the best researcher in Cairo University in 2013. He was also received the Islamic Educational, Scientific and Cultural Organization (ISESCO) prize on Technology (2014) and received the state award for excellence in engineering sciences 2015.
Dr. Sameer Anand is currently working as Assistant Professor in the Department of Computer science at Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He has received his M.Sc., M.Phil, and Ph.D. (Software Reliability) from Department of Operational Research, University of Delhi. He is a recipient of ‘Best Teacher Award’ (2012) instituted by Directorate of Higher Education, Govt. of NCT, Delhi. The research interest of Dr. Anand includes operational research, software reliability and machine learning. He has completed an Innovation project from the University of Delhi. He has worked in different capacities in InternationalConferences. Dr. Anand has published several papers in the reputed journals like IEEE Transactions on Reliability, International journal of production research (Taylor & Francis), International Journal of Performability Engineering, etc. He is a member of Society for Reliability Engineering, Quality and Operations Management. Dr. Sameer Anand has more than 16 years of teaching experience.
Dr. Ajay Jaiswal is currently serving as Assistant Professor in the Department of Computer Science of Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He is a co-editor of two books/Journals and co-author of dozens of research publications in International Journals and conference proceedings. His research interest includes pattern recognition, image processing, and machine learning. He has completed an interdisciplinary project titled ‘Financial Inclusion-Issues and Challenges: An Empirical Study’ as Co-PI. This project was awarded by the University of Delhi. He obtained his masters from the University of Roorkee (now IIT Roorkee) and Ph.D. from Jawaharlal Nehru University, Delhi. He is a recipient of the best teacher award from the Government of NCT of Delhi. He has more than nineteen years of teaching experience.
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.
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.
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.
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.