This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on June 8-9, 2021 by Eötvös Loránd University (ELTE), Budapest, Hungary in association with many Universities; WSG Poland, Knowledge University, ERBIL. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on June 8-9, 2021 by Eötvös Loránd University (ELTE), Budapest, Hungary in association with many Universities; WSG Poland, Knowledge University, ERBIL. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
Dr. Pradeep Kumar Singh is currently working as Professor and Head in the department of CS at KIET Group of Institutions, Delhi-NCR, Ghaziabad, India. Dr. Singh is Life Membership of Computer Society of India (CSI), Life Member of IEI and promoted to Senior Member Grade from CSI and ACM. He is Associate Editor of the International Journal of Information System Modeling and Design (IJISMD), Indexed by Scopus and Web of Science. He is also Associate Editor of International Journal of Applied Evolutionary Computation (IJAEC), IGI Global USA, Security and Privacy, Wiley & International Journal of Information Security and Cybercrime (IJISC) a scientific peer-reviewed journal from Romania. He has published nearly 122 research papers in various International Journals and Conferences of repute. Some of his publications are in, e.g., IEEE Access, Applied Intelligence, Multimedia Tools and Applications, and Computer Communications. He has received three sponsored research projects grant from Govt. of India and Govt. of HP worth Rs 25 Lakhs. He has edited a total 12 books from Springer and Elsevier. He has Google scholar citations 1450, H-index 17, and i-10 Index 45. Dr. Yashwant Singh is Head & Associate Professor in the Department of Computer Science & Information Technology at the Central University of Jammu. Yashwant completed his Ph.D. from Himachal Pradesh University Shimla, his post Graduate study from Punjab Engineering College Chandigarh and undergraduate studies from SLIET Longowal. His research interests lie in the area of Internet of Things, Vulnerability Assessment of IoT and Embedded Devices, Wireless Sensor Networks, Secure and Energy Efficient Routing, ICS/SCADA Cyber Security, ranging from theory to design to implementation. He has collaborated actively with researchers in several other disciplines of computer science, particularly Machine Learning, Electrical Engineering. Yashwant has served on Thirty International Conference and Workshop Program Committees and served as the General Chair for PDGC-2014, ICRIC-2018, ICRIC-2019, ICRIC-2020, and ICRIC-2021. He currently serves as coordinator of Kalam Centre for Science and Technology (KCST), Computational Systems Security Vertical at Central University of Jammu established by DRDO. Yashwant has published more than 80 Research Papers in the International Journals, International Conferences and Book Chapters of repute that are indexed in SCI and SCOPUS. He has 548 Citations, i10-index 23 and h-index 14. He has Research Projects worth Rs.46.322 Lakhs in his credit from DRDO and Rs. 12.19 Lakhs from NCW. He has guided 4 PhDs, 24 M.Tech. students and supervising 4 PhDs and 6 M.Tech. Dr Yashwant Has visited 8 countries for his academic visits e.g. U.K., Germany, Poland, Chez Republic, Hungary, Slovakia, Austria, Romania. He is Visiting Professor at Jan Wyzykowski University, Polkowice, Poland. Prof (Dr.) Jitender Kumar Chhabra is Professor, Computer Engineering Department at National Institute of Technology, Kurukshetra India. He has teaching and research experience of more than 28 years and has published 150 papers in reputed International and National Journals and conferences including more than 70 publications from IEEE, ACM, Elsevier and Springer, most of which are SCI/Scopus indexed. His research interests include Software Engineering, Soft Computing, Software Metrics, Machine Learning & AI in S/w Engg; clustering and mining. He is Reviewer for most reputed journals such as IEEE Transactions, ACM Transactions, Elsevier, Wiley, and Springer. He has filed 8 patents and four copyrights have been granted to him as IPR. He has authored 3 books from international publications and supervised 8 PhDs. He has also completed a research project from DRDO, Govt. of India in the area of scure storage. He has total 2022 Google Scholar Citations, H-Index 25, and i-10 Index 51. Dr. Illés Zoltán, Ph.D., Habil. has started higher education studies in subjects Mathematics and Physics at Eötvös Loránd University. He later took up the Computer Science supplementary course, which was started at that time. He got a Hungarian's Republic scholarship based on his outstanding academic achievements during his university studies. He graduated in 1985, after which he started working at the Department of Computer Science of Eötvös Loránd University. He completed his Ph.D. dissertation entitled "Implementation of Real-Time Measurements for High-Energy Ion Radiations" in 2001. In 2004, at the request of Jedlik Publisher, he also wrote a textbook on the C# programming language. This book has a second, expanded edition in 2008. In 2007, he was awarded a scholarship by the Slovak Academy of Sciences, where he spent six months researching and teaching at the Constantine the Philosopher University in Nitra. The NJSZT awarded the Rezs¿ Tarján Prize in 2016 for the success of the joint workthat has been going on ever since. He and his colleagues also researched the issue of mobile devices and applications in the framework of a TéT_SK tender won in 2014. Based on their research findings, he launched a pilot project to support real-time, innovative performance management. The first results of this research are an integral part of his habilitation dissertation. He has been Invited Speaker at several international conferences and Member of the Amity University Advisory Board since 2020. Dr. Chaman Verma, Ph.D., is working as Faculty/ Computer Research Scientist and Professional Assistant in the Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University, Hungary. He has been awarded scholarship ÚNKP, MIT (Ministry of Innovation and Technology) and National Research, Development and Innovation (NRDI) Fund, Hungarian Government. Additionally, He won the EFOP scholarship of the European Social Fund under the project: ``Talent Management in Autonomous Vehicle Control Technologies sponsored by the European Union and Hungarian Government. He was also nominated and awarded a scientific publication award in 2021 at the Faculty of Informatics, Eötvös Loránd University, Hungary. He got the best research paper awards at IEEE Conefernce, Uzbekistan (2021), and Springer Conefernce, CDAC, India (2020). His Ph.D. has been sponsored under the Stipendium Hungaricum Scholarship of Tempus Public Foundation, Government of Hungary. He has completed his M.Tech. in Computer Science and Engineering from Ch. Devi Lal University, Haryana, India. He has around 10 years of teaching and industry experience. He has more than 60 scientific publications in the IEEE, Elsevier, Springer, IOP Science, MDPI, and Walter de Gruyter. His research interests include statistical analysis, machine learning, deep learning, optimization and feature engineering, real-time systems, and educational informatics. He is a guest editor for SpecialIssue "Advancements in Machine Learning and Statistical Modeling, and Real-World Applications" in Mathematics Journal, MDPI, Basel, Switzerland. He is a Member of the Editorial Board and a Reviewer of various international journals and scientific conferences. He is a Life Member of ISTE, New Delhi, India. He is a reviewer of many scientific journals of IEEE, Springer, Elsevier, Wiley, MDPI. He has Scopus citations 405 with H-index 12. He has Web of Science citations 90 with H-index 6. He has google citations 613 with H-index 15, i10-index 23.
Inhaltsangabe
AWRPS-ROBO: Automated Weed Removal and Pesticides Spray.- Designing of Cavity Filter with Slot Coupling Mechanism for ku Band.- Use of Smart Mobile Applications with IoT in Diseases Prediction System for Apple Orchards.- Review on Miniaturized Flexible Wearable Antenna for Body Area Network.- DEERS: Design Energy Efficient Routing Scheme for Harsh Environment Monitoring in HWSNs.- Context Enriched Machine Learning based Approach for Sentiment Analysis.- Recommending Books using RNN.- A Survey on Applications of Unmanned Aerial Vehicles (UAVs).- Early Detection of Influenza using Machine Learning Techniques.- Fuzzy Time-Series Models Based on Intuitionistic Fuzzy, Rough Set Fuzzy and Differential Evolution.- Genetic Algorithm Application on 3-D Pipe Routing: A Review.- Directed Undersampling using Active Learning for Particle Identification.- Smart Agriculture using Internet of Things: An Empirical Study.- A Study on the Implementation of Secure VANETs using FPGA.- Massive MIMO System -Overview, Challenges and Course of Future Research.- Millimeter-Wave Dual-Band (32/38 GHz) Microstrip Patch Antenna for 5G Communication.- Design and Analysis of Single band and Wideband Wineglass Shaped Patch Antenna for WLAN and Satellite Applications.
AWRPS-ROBO: Automated Weed Removal and Pesticides Spray.- Designing of Cavity Filter with Slot Coupling Mechanism for ku Band.- Use of Smart Mobile Applications with IoT in Diseases Prediction System for Apple Orchards.- Review on Miniaturized Flexible Wearable Antenna for Body Area Network.- DEERS: Design Energy Efficient Routing Scheme for Harsh Environment Monitoring in HWSNs.- Context Enriched Machine Learning based Approach for Sentiment Analysis.- Recommending Books using RNN.- A Survey on Applications of Unmanned Aerial Vehicles (UAVs).- Early Detection of Influenza using Machine Learning Techniques.- Fuzzy Time-Series Models Based on Intuitionistic Fuzzy, Rough Set Fuzzy and Differential Evolution.- Genetic Algorithm Application on 3-D Pipe Routing: A Review.- Directed Undersampling using Active Learning for Particle Identification.- Smart Agriculture using Internet of Things: An Empirical Study.- A Study on the Implementation of Secure VANETs using FPGA.- Massive MIMO System -Overview, Challenges and Course of Future Research.- Millimeter-Wave Dual-Band (32/38 GHz) Microstrip Patch Antenna for 5G Communication.- Design and Analysis of Single band and Wideband Wineglass Shaped Patch Antenna for WLAN and Satellite Applications.
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