Studies in Smart Technologies – serie

This book is about the β-quantum inequalities. This book covers a range of generalized quantum inequalities in detail. It begins with the basic calculus of the β-quantum operator and then explores various types of inequalities. The content is presented in a straightforward manner and is aimed at senior undergraduate and postgraduate students in engineering and science programs. The book consists of six chapters, and almost all of the material is new and represents the authors' original work. The chapters are organized in a way that is easy to follow, and each chapter concludes with a section containing practical problems.

This book is a humble attempt towards exposition and utilization of value engineering, as an independent design plus production integrated scheme, with significant savings of material and efforts. The new industrial revolution that aims to conserve natural resources, prune down wastage, and spiral toward sustainable living is in perfect harmony with this rediscovered (and a bit reinvented) value engineering plus by authors. The book presents the remarkable system, well-established as value engineering or value methodology, developed by an iconic GE design Engineer, Lawrence Miles. It is a function-cost weighted approach and grounded in reality. The book discusses enhancement of a) creative thinking using techniques other than over-hyped brainstorming, b) including hands-on invention education in curricula from middle school to master’s degree level, c) finally, a sensitization towards, followed by importance of possessing Intellectual Property (patent/utility model) for any tangible process or product created.

This book explores the foundational principles and emerging advancements shaping modern computing, bridging theory and practice across technologies, transforming today’s world. It begins with an introduction to modern computer science before covering key topics such as generative AI, creative content generation, quantum computing, data analytics, and machine learning. Ethical aspects of AI are highlighted to encourage responsible innovation. Chapters on big data and data science show how large datasets drive insights. The book also examines blockchain, edge computing, and IoT, with applications in finance, health care, and logistics. Additional sections include robotics, cybersecurity, human–computer interaction, and cloud computing, emphasizing their roles in building secure, connected systems. Blending core and emerging concepts of computer science with case studies, the book equips students, researchers, professionals, and enthusiasts to navigate an evolving technological landscape.

This book offers a comprehensive account of smart grid solutions across the energy sector as an eco-and-open, optimized innovation infrastructure on metaverse. Mirroring multimodal challenges (i.e. eco-sustainability, scalability, cost efficiency, security, regulations, etc.), the presented “SmartEnergyverse” network discusses the “greener” smart technologies and agents, assets and operations. It explores the eco-smart energy supply chain models and innovations on metaverse, across diverse energy stakeholders. It examines the eco-friendly virtual factories that foster a sustainable energy sector in current energy industrial landscape and on metaverse. It investigates the non-fungible tokens monetization for smart energy contracts and sensing across  energy trading and suppliers. It highlights the merit to develop an eco-sustainable metaverse smart energy Grid-learning and development across academia, industry and services to ensure sustainable, optimized and affordable energy.

mso-bidi-theme-font: minor-latin;">This book is a collection of the high-quality research articles in the field of machine learning, big data analytics, computer vision, cloud computing, artificial intelligence, intelligent system, soft computing, and their real-world applications.

This book presents research papers from the First International Conference on Symmetries and Integrability of Dynamical Systems (ICSIDS 2024), organized by the Department of Mathematics at Pondicherry University, Puducherry, India, held during November 5–7, 2024. The conference proceedings is a collection of thematic topics, such as symmetries and conservation laws, applications of group analysis to new mathematical models and nonlinear problems, symmetries of difference and differential equations with nonlocal terms, methods of integration of systems of equations, applications of analytical methods to problems in science and engineering, special function theory and Painlevé equations, integrability of discrete systems, discrete differential geometry, nonlocal integrable system, and nonlinear waves.

This book includes selected papers presented at 4th International Conference on Intelligent Vision and Computing (ICIVC 2024), held at National Institute of Technology, Agartala, India, during 23–24 November 2024. The conference proceedings is a collection of high-quality research articles in the field of intelligent vision and computing. The topics covered in the book are artificial intelligence, machine learning, deep learning, internet of things, information security, embedded systems, cloud computing, quantum computing, bio-inspired intelligence, cyber-physical systems, hybrid systems, intelligence for security, data mining, evolutionary optimization, swarm intelligence, signal processing, blockchain technology, big data applications, natural language processing, data acquisition, storage and retrieval for big data, data representation, and processing, imaging sensors technology, features extraction, image segmentation, deep learning, convolutional neural network, biometrics recognition, biomedical imaging, intelligent transport systems, and human-computer interaction.

In this book, the author challenges conventional probabilistic interpretations of quantum mechanics by introducing a framework of “qualified determinism” that reexamines the underlying principles of quantum theory.

This book explores various designs of wideband and circularly polarized slot-cut microstrip antennas realized using artificial neural network (ANN) modelling approach. The ANN modelling has been employed in variety of application in wireless domain. In this book, ANNs tools are used for design and predicting the antenna behaviour as well as tailoring designs as per specific frequency requirements. The book presents various designs employing regular shapes like, rectangular, circular and modified compact shapes like, semi-circular. The neural network approach used in this book achieves accurate antenna designs for wide frequency range and substrate parameters, based on the intended application, thus demonstrating the effectiveness of predictive modelling in developing the wideband and circularly polarized antennas.

The book explores comprehensive demonstration of the performance analytics following the implementation of the authentication and fraud detection system strategies.

This book explores state-of-the-art internet of things (IoT) solutions for energy conservation, security, agricultural advancements, mining security, healthcare, and environmental protection.

This book is a collection of the high-quality research articles in the field of machine learning, big-data analytics, computer vision, cloud computing, artificial intelligence, intelligent system, soft computing, and their real-world applications.