© 2020Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm – Trends, Advances, and Future Prospects by Pawel Sniatala , M. Hadi Amini , Kianoosh G. Boroojeni pp 202. Published by Springer, 2020 MORE INFORMATION >>HERE<<
© 2020Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm - Trends, Advances, and Future Prospects by Pawel Sniatala , M. Hadi Amini , Kianoosh G. Boroojeni pp 202. Published by Springer, 2020 MORE INFORMATION >>HERE<< Provides a comprehensive investigation of Brooks-Iyengar Algorithm and the recently developed methods based on this algorithm Specifies the importance and position of theoretical methods in dealing with real-world problems in the context of distributed sensing Presents basics and mathematical foundations needed to analyze Brooks-Iyengar Algorithm
© 2021Evolution of Smart Sensing Ecosystems with Tamper Evident Security by Pawel Sniatala , S.S. Iyengar , Sanjeev Kaushik Ramani pp 210 Published by Springer Nature, ISBN: 978-3-030-89746-8, 2022 MORE INFORMATION >>HERE<<
© 2021Evolution of Smart Sensing Ecosystems with Tamper Evident Security by Pawel Sniatala , S.S. Iyengar , Sanjeev Kaushik Ramani pp 210 Published by Springer Nature, ISBN: 978-3-030-89746-8, 2022 MORE INFORMATION >>HERE<< – Provides a fundamental view of the evolution of quantum computing and how various quantum mechanics are used in different security and Internet applications – Highlights the need for a paradigm shift in tackling quantum techniques and proposes a novel quantum computer science system to address it – Covers the various quantum techniques starting from the basic and traditional approaches to modern approaches involving the use of artificial intelligence and machine learning
© 2020Mathematical Theories of Machine Learning – Theory and Applications by Sitharama S. Iyengar; Bin Shi. Springer Nature, pp 104, Published by Springer, June 2019 MORE INFORMATION >>HERE<<
© 2020Mathematical Theories of Machine Learning - Theory and Applications by Sitharama S. Iyengar; Bin Shi. Springer Nature, pp 104, Published by Springer, June 2019 MORE INFORMATION >>HERE<< - Provides a thorough look into the variety of mathematical theories of machine learning - Presented in four parts, allowing for readers to easily navigate the complex theories - Includes extensive empirical studies on both the synthetic and real application time series data
© 2022Quantum Computing Environments by Sitharama S. Iyengar; Mario Mastriani, and KJ Latesh Kumar. (Editors) pp 210 Published by Springer Nature, ISBN: 978-3-030-89746-8, 2022 MORE INFORMATION >>HERE<<
© 2022Quantum Computing Environments by Sitharama S. Iyengar; Mario Mastriani, and KJ Latesh Kumar. (Editors) pp 210 Published by Springer Nature, ISBN: 978-3-030-89746-8, 2022 MORE INFORMATION >>HERE<< - Provides a fundamental view of the evolution of quantum computing and how various quantum mechanics are used in different security and Internet applications - Highlights the need for a paradigm shift in tackling quantum techniques and proposes a novel quantum computer science system to address it - Covers the various quantum techniques starting from the basic and traditional approaches to modern approaches involving the use of artificial intelligence and machine learning
© 2022Philosophies os Structural Safety and Reliability by Issac Elishakoff Book Description Uncertainty is certain to be found in structural engineering, making it crucial to structure design. This book covers three competing philosophies behind structural safety and reliability: probabilistic analysis, fuzzy set-based treatments, and the convex approach. Explaining the theory behind probabilistic analysis, fuzzy set-based treatments,…
© 2022Philosophies os Structural Safety and Reliability by Issac Elishakoff Book Description Uncertainty is certain to be found in structural engineering, making it crucial to structure design. This book covers three competing philosophies behind structural safety and reliability: probabilistic analysis, fuzzy set-based treatments, and the convex approach. Explaining the theory behind probabilistic analysis, fuzzy set-based treatments, and the convex approach in detail, alongside their implementation, use, and benefits, the book compares and contrasts these methods, enabling the reader to solve problems associated with uncertainty. These uncertainty issues can be seen in civil engineering structures, risk of earthquakes, impact of rough seas on ships, and turbulence affecting aerospace vehicles. Building on the authors’ many years of experience in the field, Philosophies of Structural Safety and Reliability is an essential guide to structural uncertainty. Topics covered in the book include properties of materials and their structural deterioration, safety factor and reliability, risk evaluation and loads, and their combinations. This book will be of interest to students and professionals in the fields of aerospace, civil, mechanical, marine, and ocean engineering. For more information: https://www.routledge.com/Philosophies-of-Structural-Safety-and-Reliability/Raizer-Elishakoff/p/book/9781032209302© 2022Regular Non-Additive Multimeasures. Fundaments and Applications by Endre Pap
/*! elementor - v3.9.2 - 21-12-2022 */ .elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=".svg"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block} © 2022Regular Non-Additive Multimeasures. Fundaments and Applications by Endre Pap Includes an exhaustive study on regularity and other continuity properties for different types of multimeasures Provides not only mathematical applications but also some possible physical implications Written by experts in the field https://link.springer.com/book/10.1007/978-3-031-11100-6© 2022Studies in Computational Intelligence by Emmanuel E Gdoutos The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics…
© 2022Studies in Computational Intelligence by Emmanuel E Gdoutos The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. Indexed by SCOPUS, DBLP, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science. Electronic ISSN 1860-950 Studies in Computational Intelligence (SCI, volume 973) https://link.springer.com/book/10.1007/978-3-030-72711-6 Presents recent research on the theory and applications of Artificial Intelligence Includes chapters on the mathematics of AI, Fuzzy Logic, Soft Computing, and Neural networks in the theory part Provides applications that include chapters about agents for learning foreign languages, artificially generated stereo images, program-based robotics using Prolog, an algorithm for solving job scheduling problems in hotels and restaurants, intelligent technologies for mental well-being, and more Written by experts in the field. 2021© 2022Experimental Mechanics – An Introduction by Emmanuel E Gdoutos The purpose of this book is to present in a clear, simple, straightforward, novel and unified manner the most used methods of experimental mechanics of solids for the determination of displacements, strains and stresses. Emphasis is given on the principles of operation of the various methods,…
/*! elementor - v3.9.0 - 06-12-2022 */ .elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=".svg"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block} © 2022Experimental Mechanics - An Introduction by Emmanuel E Gdoutos The purpose of this book is to present in a clear, simple, straightforward, novel and unified manner the most used methods of experimental mechanics of solids for the determination of displacements, strains and stresses. Emphasis is given on the principles of operation of the various methods, not in their applications to engineering problems. For more information on the methods presented in the book there is an extensive bibliography at the end of each chapter. The book is divided into sixteen chapters.Today’s experimentalist armed with a strong background in numerical methods and computer techniques and deep understanding of the basic experimental methods should have the tools necessary to solve problems of structural behaviour and material characterization at the nano-, micro- and macro-scale levels. Needless to say, that the most valuable virtues of an experimentalists are not his/her technical skills, but honesty and integrity. Experimental results should be presented as obtained from the tests, unbiased of any relations with analytical solutions, in case they exist. This most valuable virtue should be cultivated in classrooms and laboratories.The book provides the basics of the most used methods of experimental mechanics for measuring displacements, strains and stresses. It is hoped that it will be used not only as a learning tool, but as a basis on which the researcher, the engineer, the experimentalist, the student can develop their new own ideas to promote research in experimental mechanics of solids.© 2022 Authors: Sanjeevikumar Padmanaban, Palanisamy Sivaraman, Chenniappan Sharmeela, Jens Bo Holm-Nielsen Publisher, year : December , 2022 (Wiley-IEEE Press, 400 pages)ISBN: 978-1-119-89398-1 Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems,…
© 2022 Authors: Sanjeevikumar Padmanaban, Palanisamy Sivaraman, Chenniappan Sharmeela, Jens Bo Holm-Nielsen Publisher, year : December , 2022 (Wiley-IEEE Press, 400 pages)ISBN: 978-1-119-89398-1 Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studiesArtificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years.To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies.Artificial Intelligence-based Smart Power Systems includes specific information on topics such as:Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and moreRecent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HVDC/FACTsDistribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurationsPower and energy management systemsEngineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications. MORE INFORMATION >>HERE<<Perovskite Solar Cells by Prof. Shahzada Ahmad, Prof. Samrana Kazim, and Prof. Michael Grätzel Presents a thorough overview of perovskite research, written by leaders in the field of photovoltaics The use of perovskite-structured materials to produce high-efficiency solar cells is a subject of growing interest for academic researchers and industry professionals alike. Due to their…
Perovskite Solar Cells by Prof. Shahzada Ahmad, Prof. Samrana Kazim, and Prof. Michael Grätzel Presents a thorough overview of perovskite research, written by leaders in the field of photovoltaics The use of perovskite-structured materials to produce high-efficiency solar cells is a subject of growing interest for academic researchers and industry professionals alike. Due to their excellent light absorption, longevity, and charge-carrier properties, perovskite solar cells show great promise as a low-cost, industry-scalable alternative to conventional photovoltaic cells. Perovskite Solar Cells: Materials, Processes, and Devices provides an up-to-date overview of the current state of perovskite solar cell research. Addressing the key areas in the rapidly growing field, this comprehensive volume covers novel materials, advanced theory, modelling and simulation, device physics, new processes, and the critical issue of solar cell stability. Contributions by an international panel of researchers highlight both the opportunities and challenges related to perovskite solar cells while offering detailed insights on topics such as the photon recycling processes, interfacial properties, and charge transfer principles of perovskite-based devices. - Examines new compositions, hole and electron transport materials, lead-free materials, and 2D and 3D materials - Covers interface modelling techniques, methods for modelling in two and three dimensions, and developments beyond Shockley-Queisser Theory - Discusses new fabrication processes such as slot-die coating, roll processing, and vacuum sublimation - Describes the device physics of perovskite solar cells, including recombination kinetics and optical absorption - Explores innovative approaches to increase the light conversion efficiency of photovoltaic cells Perovskite Solar Cells: Materials, Processes, and Devices is essential reading for all those in the photovoltaic community, including materials scientists, surface physicists, surface chemists, solid state physicists, solid state chemists, and electrical engineers.