Joseph Varghese Kureethara – författare

The book Graph Theory and Decomposition covers major areas of the decomposition of graphs. It is a three-part reference book with nine chapters that is aimed at enthusiasts as well as research scholars. It comprehends historical evolution and basic terminologies, and it deliberates on decompositions into cyclic graphs, such as cycle, digraph, and K4-e decompositions. In addition to determining the pendant number of graphs, it has a discourse on decomposing a graph into acyclic graphs like general tree, path, and star decompositions. It summarises another recently developed decomposition technique, which decomposes the given graph into multiple types of subgraphs. Major conjectures on graph decompositions are elaborately discussed. It alludes to a comprehensive bibliography that includes over 500 monographs and journal articles. It includes more than 500 theorems, around 100 definitions, 56 conjectures, 40 open problems, and an algorithm. The index section facilitates easy access to definitions, major conjectures, and named theorems.Thus, the book Graph Theory and Decomposition will be a great asset, we hope, in the field of decompositions of graphs and will serve as a reference book for all who are passionate about graph theory.

This book is a vital resource for anyone looking to understand the essential role of graph theory as the unifying thread that connects and provides innovative solutions across a wide spectrum of modern computer science disciplines. Graph theory is a traditional mathematical discipline that has evolved as a basic tool for modeling and analyzing the complex relationships between different technological landscapes. Graph theory helps explain the semantic and syntactic relationships in natural language processing, a technology behind many businesses. Disciplinary and industry developments are seeing a major transition towards more interconnected and data-driven decision-making, and the application of graph theory will facilitate this transition. Disciplines such as parallel and distributive computing will gain insights into how graph theory can help with resource optimization and job scheduling, creating considerable change in the design and development of scalable systems. This book provides comprehensive coverage of how graph theory acts as the thread that connects different areas of computer science to create innovative solutions to modern technological problems. Using a multi-faceted approach, the book explores the fundamentals and role of graph theory in molding complex computational processes across a wide spectrum of computer science.

The emerging field of educational neuroscience presents opportunities as well as challenges for education, especially when it comes to assess the learning disorders and learning intentions of the students.The most effective learning involves recruiting multiple regions of the brain for the learning task.

The emerging field of educational neuroscience presents opportunities as well as challenges for education, especially when it comes to assess the learning disorders and learning intentions of the students.The most effective learning involves recruiting multiple regions of the brain for the learning task.

This book offers a comprehensive exploration of the next stage in societal evolution, where technology and human values happily meet. The book begins by defining Society 5.0, uncovering its roots from earlier societal models, and emphasizing its core principle: positioning people at the centre of innovation. Readers are guided through the technological infrastructure underpinning this vision, including advanced digital frameworks, IoT, AI, blockchain, and quantum computing. Through practical real-life case studies, the book presents how Society 5.0 transforms education, urban living, manufacturing, and agriculture, promoting lifelong learning, smart cities, human-robot collaboration, and sustainable production. It also addresses critical challenges such as privacy, inequality, and ethical AI, while highlighting opportunities for inclusive growth and environmental sustainability. The book concludes with future perspectives; the book empowers readers to understand, anticipate, and contribute to a more human-centric, sustainable, and technologically advanced society.

This book presents the best papers from the International Conference on Data Science for Computational Security (IDSCS 2025), organized by CHRIST (Deemed to be University), Bangalore, India, from 14–15 November, 2025. This book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithm design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

This book presents the best papers from the International Conference on Data Science for Computational Security (IDSCS 2025), hosted by CHRIST (Deemed to be University), India, and technically sponsored by The Tejas Scientific Researcher Foundation, India, held on November 14–15, 2025. This book covers current research in data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithm design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

This book presents the best-selected papers presented at the International Conference on Data Science, Computation and Security (IDSCS-2021), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during April 16–17, 2021.

This book gives a thorough and systematic introduction to Data, Data Sources, Dimensions of Data, Privacy, and Security Challenges associated with Data, Ethics, Laws, IPR Copyright, and Technology Law. This book will help students, scholars, and practitioners to understand the challenges while dealing with data and its ethical and legal aspects.

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2022), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 11 – 12 February 2022.

This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18–19, 2020. It presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively.

The volume offers a timely, multidisciplinary examination of the evolving Indian higher education landscape in the wake of COVID-19, changes and policy implications. The volume explores pedagogical innovation, digital integration, mental well-being, ethics, and institutional resilience. Organized into five thematic sections, it addresses pressing issues such as AI in education, challenges in self-financing institutions, teacher training, and inclusive education. The book also engages with policy shifts, including the NEP 2020, and the broader implications of digital transformation. With its intersectional approach and diverse perspectives, the book is an essential resource for educators, researchers, and policymakers seeking to understand and navigate the dynamic shifts shaping higher education in India.

This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2024), hosted by Christ (Deemed to be University), India, and technically sponsored by The Tejas Scientific Researcher Foundation, India, from 08–09 November, 2024. The book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2024), hosted by Christ (Deemed to be University), India, and technically sponsored by The Tejas Scientific Researcher Foundation, India, from 08–09 November, 2024. The book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.