Emerging Trends and Technologies on Intelligent Systems (eBook, PDF)
Proceedings of 4th International Conference ETTIS 2024
Redaktion: Noor, Arti; Trivedi, Gaurav; Sen, Abhijit; Pricop, Emil; Saroha, Kriti
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Emerging Trends and Technologies on Intelligent Systems (eBook, PDF)
Proceedings of 4th International Conference ETTIS 2024
Redaktion: Noor, Arti; Trivedi, Gaurav; Sen, Abhijit; Pricop, Emil; Saroha, Kriti
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This book presents best selected papers presented at the 4th International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2024) held from 27 to 28 March 2024 in hybrid mode at CDAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.
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This book presents best selected papers presented at the 4th International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2024) held from 27 to 28 March 2024 in hybrid mode at CDAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer Nature Singapore
- Seitenzahl: 727
- Erscheinungstermin: 28. Februar 2025
- Englisch
- ISBN-13: 9789819757039
- Artikelnr.: 73520105
- Verlag: Springer Nature Singapore
- Seitenzahl: 727
- Erscheinungstermin: 28. Februar 2025
- Englisch
- ISBN-13: 9789819757039
- Artikelnr.: 73520105
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Arti Noor is presently working as Scientist 'G' at CDAC, Noida. She has done her Ph.D. from IIT, BHU, in 1990. She has more than 30 years of R&D experience in the field of VLSI Design & Technology, Hardware Design of Electronics System and Cyber Security. More than 20 years of teaching experience of VLSI design-related courses to M.E. students of BITS, Pilani, and CDAC Noida. She has executed 15 research development projects and 20 commercial projects of various complexities in the area of VLSI Design, Cyber Security, Online examination, and Educational Board Developments. She has guided six Ph.D. and 200 student's projects of B.Tech./M.Tech./M.E. and examined 100 M.Tech. dissertations. She has published 81 research papers in journals and conferences including one monographs. She has one patent, One Transfer of Technology of CDAC FPGA Board in her credit. She is the recipient of ASSOCHEM Women Cyber Influencer 2021 award. She is the life member of Semiconductor Society and Broadcast Engineering Services and an IEEE member. Dr. Kriti Saroha is presently working as Scientist 'E' at CDAC, Noida. She holds a Ph.D. from GGSIPU, Delhi, and M.S. degree from BITS, Pilani. She has more than 24 years of teaching and research experience. Her research interest includes Data Warehousing and Data Mining, AI and Machine Learning, and Computer Architecture. She is a reviewer member of reputed journals and has participated in technical program committees of international conferences. She has published a book on Computer Organization, Wiley India Pvt. Ltd., and several research papers in national/international conferences and journals. Emil Pricop is an associate professor and the head of the Automatic Control, Computers, and Electronics Department of the Petroleum-Gas University of Ploiesti, Romania. Dr. Pricop teaches computer networking, software engineering, human-computer interaction, and critical infrastructure protection courses. He received his Ph.D. in Systems Engineering from the Petroleum-Gas University of Ploiesti, where he defended the thesis "Research regarding the security of control systems" in May 2017. His research interest is in cybersecurity, focusing primarily on industrial control systems (ICS) security. Currently, he is leading a research project aiming at emerging and disruptive technologies that can be used to increase ICS resilience and security. Dr. Emil Pricop is the co-author of Cyber Security: Issues and Current Trends (Springer, 2021) and the editor of four books (three published by Springer Nature and one by MDPI Books). Also, Dr. Pricop is the author or the co-author of 2 national (Romanian) patents, six (6) book chapters published in books edited by Springer, and over 35 papers in journals or international conferences. Since 2013, Dr. Pricop has been the initiator and the chairman of the International Workshop on Systems Safety and Security-IWSSS, an annual scientific event. Dr. Pricop participated in more than 100 technical program committees of prestigious international conferences organized under the auspices of IEEE. He has held the vice-chair position of the IEEE Young Professionals Affinity Group-Romania Section from 2017 to 2019. Dr. Abhijit Sen is currently a professor of Computing Science and Information Technology at Kwantlen Polytechnic University, BC, Canada. He holds a PhD. from McMaster University, Hamilton, Ontario, Canada, and Master of Science degree from University of California, Berkeley, USA, and B.Tech. in Electrical Engineering from Indian Institute of Technology, Kharagpur, India. He has over 30 years of academic and administrative experience having worked in organizations such as Canadian Aviation Electronics, Montreal, Canada, Microtel Pacific Research, Burnaby, Canada. He also worked as a consultant to Canada Post, Montreal, and Info Electronics, Montréal, Canada. He served as a chair of the department for over 14 years. He has also been a visiting professor at Waikato University, Hamilton, New Zealand, and University of Applied Sciences, Munich, Germany, Centre for Development of Advanced Computing (CDAC), India, North China Institute of Aerospace Engineering, China, and Technical University of Applied Sciences, Regensburg, Germany. He has been a keynote speaker in several international conferences and served as the reviewer and technical committee member in number of international conferences. He also served as an external examiner for Ph.D. theses for several universities. Dr. Gaurav Trivedi holds a Ph.D. and M.Tech. degree from IIT, Bombay, and Bachelor of Engineering from Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Devi Ahilya University, Indore, Madhya Pradesh. He has taught wide range of courses in undergraduate and postgraduate courses: Semiconductor Devices and Circuits, Introduction to VLSI Design, Basic Electrical Science, Embedded Systems, Digital IC Design, VLSI System Design, VLSI IC Technology, Algorithms and Data Structures, Introduction to Parallel Computing, and Fundamentals of VLSI CAD. His research interests include: Circuit Simulation (Analog, RF & Digital) and VLSI CAD, Electronics System Design, Computer Architecture, Semiconductor Devices, Hardware Security, Embedded Systems and IoT, High Performance Computing, Large Scale Optimization, and Machine Learning.
1. Urban Greens An Initiative Towards Clean Air.- 2. Detection of Cross-Site Scripting Attack using Bagging Ensemble Learning.- 3. A Blockchain based Land Registration System in the Indian context incorporating mortgage and legal aspects.- 4. Advanced Neural Network MRI Evaluation for Automated Knee Trauma Detection.- 5. Genetic Algorithm-Based Probability Distribution Fitting for Improved Classification of Echocardiogram Regions.- 6. A review of Digital Twin and the Metaverse from the standpoint of smart factories.- 7. Predicting Ocean Currents A Deep Learning Approach.
1. Urban Greens An Initiative Towards Clean Air.- 2. Detection of Cross-Site Scripting Attack using Bagging Ensemble Learning.- 3. A Blockchain based Land Registration System in the Indian context incorporating mortgage and legal aspects.- 4. Advanced Neural Network MRI Evaluation for Automated Knee Trauma Detection.- 5. Genetic Algorithm-Based Probability Distribution Fitting for Improved Classification of Echocardiogram Regions.- 6. A review of Digital Twin and the Metaverse from the standpoint of smart factories.- 7. Predicting Ocean Currents A Deep Learning Approach.