Proceedings of International Conference on Recent Innovations in Computing

TRAMA

This book features selected papers presented at the 5th International Conference on Recent Innovations in Computing (ICRIC 2022), held on August 13–14, 2022, organized by the ELTE, Hungary in association with Knowledge University, Erbil and many academic and industry partners which includes; European Institute of Data Analytics (EiDA), Dublin, Ireland and CSRL Lab, India . The book is second part of the 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.

SOMMARIO

A Three Machine Flow Shop Scheduling Problem with Set up and Machine Specific Halting Times.- Clinical Named Entity Recognition Using U-Net Classification Model.- Neural Machine Translation from English to Marathi Using Various Techniques.- Review of Cardiovascular Disease Prediction Based on Machine Learning Algorithms.- Exploiting Parts of Speech in Bangla to English Machine Translation Evaluation.- Artificial Intelligence and Block Chain Technology in Insurance Business.- Classification & Detection of Acoustic Scene and Event using Deep Neural Network.- Analysis of A Novel Integrated Machine Learning Model for Yield and Weather Prediction: Punjab vs Maharashtra.- Machine Learning Techniques for Result Prediction of One Day International (ODI) Cricket Match.- Recommendation System Using Neural Collaborative Filtering and Deep Learning.- The Importance of Selected LMS Logs Pre-processing Tasks on the Performance Metrics of Classification Models.- Analysis of Deep Pre-trained Models for Computer Vision Applications: Dog Breed Classification.- An Efficient Recognition and Classification System for Paddy Leaf Disease Using Naïve Bayes with Optimization Algorithm.- Development of Decision Making Prediction Model for Loan Eligibility Using Supervised Machine Learning.- Prediction of Osteoporosis using Artificial Intelligence Techniques: A Review.

AUTORE

Dr. Yashwant Singh is a Professor & Head of the Department of Computer Science & Information Technology at the Central University of Jammu where he has been a faculty member since 2017. Prior to this, he was at the Jaypee University of Information Technology for 10 Years. Yashwant completed his Ph.D. from Himachal Pradesh University Shimla, his Post Graduate study from Punjab Engineering College Chandigarh, and his 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 forPDGC-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 100 Research Papers in International Journals, International Conferences, and Book Chapters of repute that are indexed in SCI and SCOPUS. He has 860 Citations, i10-index 27 and h-index 16. He has Research Projects of worth Rs.1040.9413 Lakhs in his credit from DRDO and Rs. 12.19 Lakhs from NCW. He has guided 4 Ph.D., 24 M.Tech. students and guiding 4 PhDs and 5 M.Tech. He 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.Dr. Chaman Verma is an Assistant Professor at the Department of Media and Educational Informatics, Faculty of Informatics, Eötvös LorándUniversity, Hungary. He has completed his Ph.D. Informatics from Doctoral School of Informatics, Eötvös Loránd University, Hungary, with Stipendium Hunagricum scholarship funded by Tempus Public Foundation, Government of Hungary. During his Ph.D., he won the EFOP Scholarship, Co-founded by the European Union Social Fund and the Government of Hungary, as a professional research assistant in a Real-Time System for 2018-2021. He also received the Stipendium Hungaricum Dissertation Scholarship of Tempus Public Foundation, Government of Hungary, in 2021-22. He has been awarded several Erasmus scholarships for conducting international research and academic collaboration with European and non-European universities. He also received the best scientific publication awards from the Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary, in the years 2021,2022, and 2023. He has also been awarded ÚNKP Scholarship for research by the Ministry of Innovation and Technology and the National Research, Development and Innovation (NRDI) Fund, Government of Hungary, in 2020-2021 and 2022-2023. He has around ten years of experience in teaching and industry. He has over 100 scientific publications in the IEEE, Elsevier, Springer, IOP Science, MDPI, and Walter de Gruyter. His research interests include data analytics, IoT, feature engineering, real-time systems, and educational informatics. He is a member of the Editorial Board and a reviewer of various international journals and scientific conferences. He was the leading Guest Editor of the Special Issue "Advancement in Machine Learning and Applications" in Mathematics, IF–2.25, MDPI, Basel, Switzerland, in 2022. He is co-editor in the series of conference proceedings of ICRIC-2021 and ICRIC-2022 published by Springer, Singapore. He is a life member of ISTE, New Delhi, India. He reviews many scientific journals, including IEEE, Springer, Elsevier, Wiley, and MDPI. He has Scopus citations of 615 with an H-index of 15. He hasWeb of Science citations 81 with an H-index of 8.Dr. Illés Zoltán, Ph.D., Habil., has started higher education studies in 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 in researching and teaching at the Constantine the Philosopher University in Nitra. The NJSZ

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789819906031
• Collana: Lecture Notes in Electrical Engineering
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XV, 901 p. 337 illus., 282 illus. in color.
• Pagine Arabe: 901
• Pagine Romane: xv