Hybrid Information Systems : Non-Linear Optimization Strategies with Artificial Intelligence
Language: English
Published by De Gruyter, 2024
- Softcover
- New

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Neuware - The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields. …
Seller Inventory # 9783111329796
- Title
- Hybrid Information Systems : Non-Linear Optimization Strategies with Artificial Intelligence
- Author
- Ramakant Bhardwaj
- Publisher
- De Gruyter
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3111329798
- ISBN 13
- 9783111329796
- Item weight
- 881 grams
- Dimensions
- 240x170x36 mm
The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.
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About the Author
Dr. Ramakant Bhardwaj is currently working as Professor, Department of Mathematics, AMITY University Kolkata (W.B.). He also worked as deputy director research and development about five years in Technocrats TIT group Bhopal. He has published more than 160 research papers in reputed journals as SCI/ SCOPUS/ UGC Care listed / book chapters and others. Five patents have published while four are submitted. As for as concerning research work, he is handling govt as well as private projects. Dr Bhardwaj Published five books on mathematics as co-authors and two edited books. 12 students have awarded PhD in his supervision/ co-supervision while five are working now. Dr Bhardwaj presented his research work in national and international platform as invited and keynote speaker. He attended international conference in Imperial college London (UK), NEU Changhua Taiwan, University of Ching-Mai. He organized 12 International / National conference/Seminar as Organizing secretary. He has research collaboration with academicians of Canada, USA, Thailand, Turkey, Oman, Bahrain.
Dr Pushan Kumar Dutta is an accomplished Assistant Professor Grade III in Electronics and Communication Engineering Department at ASETK, Amity University Kolkata. He completed his PhD from Jadavpur University in Kolkata in 2015, and subsequently pursued a post-doctorate with a full fellowship from Erasmus Mundus Association. During his tenure at the University of Oradea in Romania, he presented a keynote speech in Bucharest. Before joining Amity University Kolkata in 2018, Dr Dutta held several positions of increasing responsibility. He began his career as a subject matter expert and technical writer with Chegg, and subsequently designed corporate classes for Marine electrotechnology. He was then appointed Research Coordinator and Assistant Professor for a college in Kurnool, Andhra Pradesh, which was to be accredited by the National Assessment and Accreditation Council (NAAC) and the National Board of Accreditation (NBA) in India. Dr Dutta is the recipient of the Young Faculty in Engineering award from Venus International awards, Chennai in 2018. He has been an integral part of the Amity University Kolkata research team, working in various capacities such as curriculum developer, board of studies evaluator, event coordinator, and alumni coordinator. He has led students to various competitions and pitching events for innovation for two years before the pandemic. He has been selected by NITI Aayog as a mentor of change in 2019, and has given multiple keynotes and conference paper presentations with the affiliation of Amity University Kolkata. Dr Dutta's research interests include data mining, big data, AI, edge computing, federated learning, predictive analytics, Earthquake Precursor Study, computer hardware, sustainability, electronic devices, design thinking, web 3.0, industry 5.0, and inverse design of robots. Dr Dutta is a prolific editor, having edited three books for publishers such as IET Press and Elsevier, and indexed more than 20 book chapters in Springer, Wiley, CRC, Apple Academic Press, Taylor and Francis. Dr Dutta is a member of the technical programming committee for various noted conferences in 2022 and 2023, including Smart Cities, Arab Science and Information, and the IEEE Region 10 HTC Conference. In 2022, he delivered a keynote speech on the role of robotics in Data Science Europe, held in Belgrade, Serbia. Dr Dutta is also a coordinator at Amity University Kolkata for sports and innovation competitions, leading students to participate in national competitions. He teaches classes on IoT, robotics, and first-year engineering, as well as PG Science level classes. He has an Indian copyright for his book titled ‘Innovative Digital Teaching and Learning for Professional Readiness
Pethuru Raj is chief architect in the Edge AI division of Reliance Jio Platforms Ltd., Bangalore, India. He focuses on emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI) Model Optimization, Big and Streaming Data Analytics, Blockchain, Digital Twins, Cloud-native, Serverless and Edge Computing, Reliability Engineering, Microservices architecture (MSA), Event-driven Architecture (EDA), 5G/6G and Metaverse. He previously worked at IBM global Cloud Center of Excellence (CoE), Wipro Consulting Services (WCS), and Robert Bosch Corporate Research (CR). He has published over thirty research papers in peer-reviewed journals, authored and edited forty-two books, and contributed fifty-four book chapters. He is a professional member of ACM. He received his PhD degree from Anna University, Chennai, India and did his postdoctoral research in computer science and automation (CSA) at the Indian Institute of Science, Bangalore, and at the Nagoya Institute of Technology, Kyoto University and the University of Tsukuba, Japan.
Dr. Abhishek Kumar is currently working as an Assistant director /Associate professor in Computer science & Engineering Department in Chandigarh University, Punjab, India .He is Doctorate in computer science from University of Madras and is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. . He has total Academic teaching experience of more than 11 years along with 2 years teaching assistantship. He has more than 100 publications in reputed, peer reviewed National and International Journals, books & Conferences He has guided more than 30 M.Tech & MS Projects at national and International level and guided 6 PhD Scholar at national and International Level . .He is acting as Series Editor for three books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, & Sustainable Energy with Nova, USA
Kavita Saini PhD (IEEE and ACM Member) is presently working as Professor, School of Computing Science and Engineering, Galgotias University, Delhi NCR, India. She received her PhD degree from Banasthali Vidyapeeth, Banasthali. She has 20 years of teaching and research experience supervising Masters and PhD scholars in emerging technologies.
She has published more than 80 research papers in national and international journals and conferences. She has published 18 authored books for UG and PG courses for several universities including MD University, Rothak, and Punjab Technical University, Jallandhar with National Publishers. Kavita Saini has edited more than 12 books with International Publishers including Elsevier, IET Publisher, IGI Global and CRC Press , NOVA Science Publisher and published 30 book chapters with International publishers. Under her guidance many M Tech and Ph D scholars are carrying out research work and few have completed under her guidance. She has also published various patents. Kavita Saini has also delivered technical talks on Blockchain: An Emerging Technology, Web to Deep Web and other emerging Areas and Handled many Special Sessions in International Conferences and Special Issues in International Journals. Her research interests include Smart and Sustainable Agricultural, Blockchain Technology, Industry 5.O, and Cloud and Edge Computing, Digital Twin and Web-Based Instructional Systems (WBIS).
Alfonso González-Briones earned a Ph.D. in Computer Engineering in 2018 at the University of Salamanca; his thesis obtained the second place in the 1st SENSORS+CIRTI Award for the best national thesis in Smart Cities (CAEPIA 2018). At the same University, he had also obtained a Bachelor of Technical Engineering in Computer Engineering (2012), a Bachelor’s Degree in Computer Engineering (2013), and a Master’s Degree in Intelligent Systems (2014). Since 2014, Alfonso González Briones has worked in different public research centres, such as the BISITE Research Group, and at Complutense University of Madrid as a "Juan De La Cierva" Postdoc. Moreover, he has worked at private research centres, such as Virtual Power Solutions (VPS) in Coimbra, (Portugal), where he was involved in research on decision tree algorithms with a high percentage of efficiency in the recognition of devices that consumed energy, as well as parameters that helped to improve the accuracy of recognition and detection; in the ISLab Research Group (Synthetic Intelligence Lab) of Universidade do Minho, Braga (Portugal), he was involved in a research on the methodologies and algorithms that achieve energy efficiency through the use of Artificial Intelligence techniques. He has also worked as Project Manager in Industry 4.0 and IoT projects in the AIR Institute, and Lecturer at the International University of La Rioja (UNIR). Currently, Alfonso González Briones is Associate Professor at the University of Salamanca in the Department of Computer Science and Automation. He has published more than 30 articles in journals, more than 60 articles in books and in the proceedings of international congresses. He has participated in 10 international research projects and Alfonso has been principal investigator in a national project funded by the Iberdrola Foundation. He is also a member of the scientific committee of the Advances in Distributed Computing and Artificial Intelligence Journal (ADCAIJ) and of the Bioinformatics & Proteomics Open Access Journal (BPOJ). He works as reviewer for international journals (Supercomputing Journal, Journal of King Saud University, Energies, Sensors, Electronics or Applied Sciences among others). Furthermore, he has participated as Chair and Member of the technical committee at prestigious international congresses (AIPES, HAIS, FODERTICS, PAAMS, KDIR). His research interests include Ubiquitous Computing and Ambient Intelligence for the development of smarter and more energy-efficient cities that improve social welfare and bring about sustainable development.
Dr. Mohammed K.A. Kaabar received all his degrees in Mathematics from Washington State University, USA. Prof. Kaabar has a global diverse research experience at various institutions worldwide. He is an elected foreign member of the Academy of Engineering Sciences of Ukraine and Science and Democracy Network at Harvard Kennedy School. He is also senior member of the Hong Kong Chemical, Biological & Environmental Engineering Society. He is an editor for 23 scientific journals at various prestigious publishers. He gave many invited keynote speaker's talks at various conferences, organized by institutions, in Hong Kong, China, India, USA, Ukraine, France, Romania, Malaysia, Cyprus, Türkiye, and Singapore. His research interests are fractional calculus, mathematical modeling, applied analysis, applied mathematics, mathematical physics, mathematical biology, nonlinear optimization, data analysis, mathematics education, and deep learning. He is a STEM Researcher (AMS Erdős Number = 4 and zbMATH Albert Einstein Number=5), Author, Peer Reviewer, Adjunct/Visiting Professor, Aspiring Educator, Keynote Speaker, Founder of Educational Website (Online Library), Council/Board of Directors Member at IETI, Foreign Member at Science and Democracy Network at Harvard Kennedy School, Harvard University, and STEM Influencer on LinkedIn.
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