This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2023) held from 23 - 24 February 2023 in hybrid mode at C-DAC, 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.
This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2023) held from 23 - 24 February 2023 in hybrid mode at C-DAC, 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.
Dr. Arti Noor is presently working as Senior Director 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. Executed 15 Research Development Projects and 20 commercial projects of various complexities in the area of VLSI Design, Cyber Security, Online examination, 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 recipient of ASSOCHEM Women Cyber Influencer 2021 award. She is Life member of Semiconductor Society and Broadcast Engineering Services and IEEE, Member. Dr. Kriti Saroha is presently working as Joint Director at C-DAC, Noida. She has received her Ph.D. from GGSIPU, Delhi. She has 22 years of teaching and research experience. Her research interest includes Data Warehousing and Data Mining, AI and Machine Learning, Computer Architecture. She has published a book on Computer Organization, Wiley India Pvt. Ltd. and several research papers in National/ International conferences and journals. Dr. Emil Pricop is currently an Associate Professor and the Head of the Automatic Control, Computers and Electronics Department of the Petroleum-Gas University of Ploiesti, Romania. Dr. Pricop is teaching computer networking, software engineering, human computer interaction, and critical infrastructure protection courses. He received his Ph.D. in Systems Engineering from Petroleum-Gas University of Ploiesti by defending in May 2017 the thesis "Research regarding the security of control systems." His research interest is cybersecurity, focusing primarily on industrial control systems security. Dr. Emil Pricop is co-editor of two books, namely Recent Advances in Systems Safety & Security (Springer, 2016) and Recent Developments on Industrial Control Systems Resilience (Springer, 2020), and co-author of Cyber Security: Issues and Current Trends (Springer, 2021). Also, Dr. Pricop is the author or 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 is the initiator and chairman of the International Workshop on Systems Safety and Security - IWSSS, a prestigious scientific event organized annually. 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 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 InfoElectonics, 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 keynote speaker in several international conferences and served as reviewers and technical committee members in number of international conferences. He also served as external examiners for PhD theses for several universities. His current research interests are in the areas of Wireless Networking and Security, Radio Frequency Identification (RFID), Computing Education and Teaching Methodologies, Distributed Systems and Databases, DevOps, and Artificial Intelligence. He is the recipient of Distinguished Teaching Award of Kwantlen Polytechnic University, BC, Canada. He is a Life Member of Institute of Electrical and Electronics Engineer (IEEE). He served in the Executive committee of IEEE, Vancouver Chapter. Dr. Gaurav Trivedi is currently working with IIT Guwahati. Dr. Gaurav Trivedi holds a PhD. and M.Tech degree from IIT, Bombay, 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, 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.
Inhaltsangabe
Hybrid Architecture for Traffic Light Recognition Using Deep CNN and Ensemble Machine Learning Model.- Multi-Step Online Hate Speech Detection and Classification using Sentiment and Sarcasm Features.- Forecasting of Electrical Energy Consumption and Power Generation from Wind Energy Using Deep Learning Algorithms.- IoT-Based Monitoring System for Hydroponics: Design and Implementation.- Review of Single Imputation and Multiple Imputation techniques for handling missing values.- Brain Tumour: Analysis with Resolution Enhancement Methods using Machine Learning Techniques.- Network Intrusion Detection System using Machine Learning.- A Survey on Indian Sign Language Translation using Artificial Intelligence.- Analyzing the Involvement of various Similarity Measures in Trust and Distrust based Recommender System.- A Novel Approach for Detection of Soybean Leaf Disease Using Bayesian Optimized-KNN Classifier with NCA Based Feature Selection.- Survey Paper on Detection of Water Bodies in Satellite Imagery.- A provably secure ECC-based key distribution scheme for secure message transmission in Vehicular Ad hoc Networks.- Approach for Ranking in Recommender System using Hinge Loss Function.- Implementing GANs for image generation and spectral normalization.- Design of Blockchain Mining Algorithms for ASIC Implementation.- Tabular Data Interpretation on Covid-19 Through Explainable Machine Learning.- Comparison of Sentinel and Landsat data sets over Lucknow region using Gradient Tree Boost supervised classifier.- AutoMeta- an Integrated Car Identification System Based on Blockchain.- Recognition and Replacement of Handwritten Text into Digitized Text.- Facial Expression Recognition Based on Convolution Neural Networks and Edge Computing.
Hybrid Architecture for Traffic Light Recognition Using Deep CNN and Ensemble Machine Learning Model.- Multi-Step Online Hate Speech Detection and Classification using Sentiment and Sarcasm Features.- Forecasting of Electrical Energy Consumption and Power Generation from Wind Energy Using Deep Learning Algorithms.- IoT-Based Monitoring System for Hydroponics: Design and Implementation.- Review of Single Imputation and Multiple Imputation techniques for handling missing values.- Brain Tumour: Analysis with Resolution Enhancement Methods using Machine Learning Techniques.- Network Intrusion Detection System using Machine Learning.- A Survey on Indian Sign Language Translation using Artificial Intelligence.- Analyzing the Involvement of various Similarity Measures in Trust and Distrust based Recommender System.- A Novel Approach for Detection of Soybean Leaf Disease Using Bayesian Optimized-KNN Classifier with NCA Based Feature Selection.- Survey Paper on Detection of Water Bodies in Satellite Imagery.- A provably secure ECC-based key distribution scheme for secure message transmission in Vehicular Ad hoc Networks.- Approach for Ranking in Recommender System using Hinge Loss Function.- Implementing GANs for image generation and spectral normalization.- Design of Blockchain Mining Algorithms for ASIC Implementation.- Tabular Data Interpretation on Covid-19 Through Explainable Machine Learning.- Comparison of Sentinel and Landsat data sets over Lucknow region using Gradient Tree Boost supervised classifier.- AutoMeta- an Integrated Car Identification System Based on Blockchain.- Recognition and Replacement of Handwritten Text into Digitized Text.- Facial Expression Recognition Based on Convolution Neural Networks and Edge Computing.
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