Soumya Sen – författare

This book comprehensively covers an extensive array of topics within the realm of computational intelligence. The scope encompasses fuzzy logic, elucidating the principles and applications of this mathematical framework designed to handle uncertainty and imprecision in data. It delves into the fundamentals of neural networks, exploring their applications in diverse fields such as pattern recognition, image processing, and natural language processing.Covers a wide range of topics related to computational intelligence, including fuzzy logic, neural networks, and explainable artificial intelligence interpretationDiscusses the challenges and limitations of computational intelligence techniques, such as the interpretability of artificial intelligence models and the need for ethical considerations in artificial intelligence applicationsExplains neural networks in natural language processing, neural networks in computer vision, and applications of neural networks in real-world scenariosPresents applications of computational intelligence in diverse areas such as robotics, transportation, web mining, healthcare, and financeIllustrates reinforcement learning-based control systems, adaptive control systems, neuro-fuzzy control systems, and applications of intelligent control systemsThe text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communication engineering, computer science and engineering, and information technology.

This book comprehensively covers an extensive array of topics within the realm of computational intelligence. The scope encompasses fuzzy logic, elucidating the principles and applications of this mathematical framework designed to handle uncertainty and imprecision in data. It delves into the fundamentals of neural networks, exploring their applications in diverse fields such as pattern recognition, image processing, and natural language processing. Covers a wide range of topics related to computational intelligence, including fuzzy logic, neural networks, and explainable artificial intelligence interpretation Discusses the challenges and limitations of computational intelligence techniques, such as the interpretability of artificial intelligence models and the need for ethical considerations in artificial intelligence applications Explains neural networks in natural language processing, neural networks in computer vision, and applications of neural networks in real-world scenarios Presents applications of computational intelligence in diverse areas such as robotics, transportation, web mining, healthcare, and finance Illustrates reinforcement learning-based control systems, adaptive control systems, neuro-fuzzy control systems, and applications of intelligent control systems The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communication engineering, computer science and engineering, and information technology.

This book comprehensively covers an extensive array of topics within the realm of computational intelligence. The scope encompasses fuzzy logic, elucidating the principles and applications of this mathematical framework designed to handle uncertainty and imprecision in data. It delves into the fundamentals of neural networks, exploring their applications in diverse fields such as pattern recognition, image processing, and natural language processing. Covers a wide range of topics related to computational intelligence, including fuzzy logic, neural networks, and explainable artificial intelligence interpretation Discusses the challenges and limitations of computational intelligence techniques, such as the interpretability of artificial intelligence models and the need for ethical considerations in artificial intelligence applications Explains neural networks in natural language processing, neural networks in computer vision, and applications of neural networks in real-world scenarios Presents applications of computational intelligence in diverse areas such as robotics, transportation, web mining, healthcare, and finance Illustrates reinforcement learning-based control systems, adaptive control systems, neuro-fuzzy control systems, and applications of intelligent control systems The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communication engineering, computer science and engineering, and information technology.

A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and business strategiesSmart Data Pricing tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers. The pricing of data traffic and other services is central to the core challenges of network monetization, growth sustainability, and bridging the digital divide. In this book, experts from both academia and industry discuss all aspects of smart data pricing research and development, including economic analyses, system development, user behavior evaluation, and business strategies. Smart Data Pricing:• Presents the analysis of leading researchers from industry and academia surrounding the pricing of network services and content.• Discusses current trends in mobile and wired data usage and their economic implications for content providers, network operators, end users, government regulators, and other players in the Internet ecosystem.• Includes new concepts and background technical knowledge that will help researchers and managers effectively monetize their networks and improve user quality-of-experience.• Provides cutting-edge research on business strategies and initiatives through a diverse collection of perspectives.• Combines academic and industry expertise from multiple disciplines and business organizations.The ideas and background of the technologies and economic principles discussed within these chapters are of real value to practitioners, researchers, and managers in identifying trends and deploying new pricing and network management technologies, and will help support managers in identifying new business directions and innovating solutions to challenging business problems.

A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and business strategies

Smart Data Pricing tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers. The pricing of data traffic and other services is central to the core challenges of network monetization, growth sustainability, and bridging the digital divide. In this book, experts from both academia and industry discuss all aspects of smart data pricing research and development, including economic analyses, system development, user behavior evaluation, and business strategies. Smart Data Pricing:

• Presents the analysis of leading researchers from industry and academia surrounding the pricing of network services and content.

• Discusses current trends in mobile and wired data usage and their economic implications for content providers, network operators, end users, government regulators, and other players in the Internet ecosystem.

• Includes new concepts and background technical knowledge that will help researchers and managers effectively monetize their networks and improve user quality-of-experience.

• Provides cutting-edge research on business strategies and initiatives through a diverse collection of perspectives.

• Combines academic and industry expertise from multiple disciplines and business organizations.

The ideas and background of the technologies and economic principles discussed within these chapters are of real value to practitioners, researchers, and managers in identifying trends and deploying new pricing and network management technologies, and will help support managers in identifying new business directions and innovating solutions to challenging business problems.

A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and business strategies

Smart Data Pricing tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers. The pricing of data traffic and other services is central to the core challenges of network monetization, growth sustainability, and bridging the digital divide. In this book, experts from both academia and industry discuss all aspects of smart data pricing research and development, including economic analyses, system development, user behavior evaluation, and business strategies. Smart Data Pricing:

• Presents the analysis of leading researchers from industry and academia surrounding the pricing of network services and content.

• Discusses current trends in mobile and wired data usage and their economic implications for content providers, network operators, end users, government regulators, and other players in the Internet ecosystem.

• Includes new concepts and background technical knowledge that will help researchers and managers effectively monetize their networks and improve user quality-of-experience.

• Provides cutting-edge research on business strategies and initiatives through a diverse collection of perspectives.

• Combines academic and industry expertise from multiple disciplines and business organizations.

The ideas and background of the technologies and economic principles discussed within these chapters are of real value to practitioners, researchers, and managers in identifying trends and deploying new pricing and network management technologies, and will help support managers in identifying new business directions and innovating solutions to challenging business problems.

This book is a collection of best-selected research papers presented at International Conference on Computational Intelligence and Cyber Physical Systems (CICPS), organized by Government College of Engineering & Ceramic Technology, Calcutta University and Jadavpur University, India, in January 2026. The book covers recent research in advanced heuristics, real-time systems, artificial intelligence, cyber security, and big data analytics.

This book presents Hyper-lattice, a new algebraic model for partially ordered sets, and an alternative to lattice. The authors analyze some of the shortcomings of conventional lattice structure and propose a novel algebraic structure in the form of Hyper-lattice to overcome problems with lattice. They establish how Hyper-lattice supports dynamic insertion of elements in a partial order set with a partial hierarchy between the set members. The authors present the characteristics and the different properties, showing how propositions and lemmas formalize Hyper-lattice as a new algebraic structure.

This book presents Hyper-lattice, a new algebraic model for partially ordered sets, and an alternative to lattice. The authors analyze some of the shortcomings of conventional lattice structure and propose a novel algebraic structure in the form of Hyper-lattice to overcome problems with lattice. They establish how Hyper-lattice supports dynamic insertion of elements in a partial order set with a partial hierarchy between the set members. The authors present the characteristics and the different properties, showing how propositions and lemmas formalize Hyper-lattice as a new algebraic structure.

This book offers an overview of audio processing, including the latest advances in the methodologies used in audio processing and speech recognition. First, it discusses the importance of audio indexing and classical information retrieval problem and presents two major indexing techniques, namely Large Vocabulary Continuous Speech Recognition (LVCSR) and Phonetic Search. It then offers brief insights into the human speech production system and its modeling, which are required to produce artificial speech. It also discusses various components of an automatic speech recognition (ASR) system.  Describing the chronological developments in ASR systems, and briefly examining the statistical models used in ASR as well as the related mathematical deductions, the book summarizes a number of state-of-the-art classification techniques and their application in audio/speech classification.  By providing insights into various aspects of audio/speech processing and speech recognition, this book appeals a wide audience, from researchers and postgraduate students to those new to the field.

This book offers an overview of audio processing, including the latest advances in the methodologies used in audio processing and speech recognition. First, it discusses the importance of audio indexing and classical information retrieval problem and presents two major indexing techniques, namely Large Vocabulary Continuous Speech Recognition (LVCSR) and Phonetic Search. It then offers brief insights into the human speech production system and its modeling, which are required to produce artificial speech. It also discusses various components of an automatic speech recognition (ASR) system.  Describing the chronological developments in ASR systems, and briefly examining the statistical models used in ASR as well as the related mathematical deductions, the book summarizes a number of state-of-the-art classification techniques and their application in audio/speech classification.  By providing insights into various aspects of audio/speech processing and speech recognition, this book appeals a wide audience, from researchers and postgraduate students to those new to the field.

This book presents the proceedings of AISC 2024 and focuses on recent advances in artificial intelligence (AI) for sustainable computing. The contributions reflect the growing impact of AI across sectors and its role in addressing sustainability challenges. This book covers key areas including machine learning, Internet of Things (IoT), cyber-physical systems, natural language processing, and intelligent automation, with emphasis on application to energy efficiency, environmental monitoring, and smart infrastructure. It also addresses challenges such as computational complexity, energy constraints in IoT environments, and the role of blockchain in ensuring data security and privacy. This book provides a platform for interdisciplinary exchange between academia and industry and serve as a reference for researchers and practitioners in the field.