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Ole-Andreas Rognstad, "Intellectual Property and Sustainable Markets "
English | ISBN: 1789901340 | 2021 | 256 pages | PDF | 1165 KB
Discussing how intellectual property (IP) rights play a role in tackling the challenge of securing sustainable development, renowned scholars consider how the core objective of IP rights to promote innovation and development of new knowledge aligns with the UN Sustainable Development Goals (SDGs). This authoritative book provides an in-depth analysis of the multi-faceted interface between this core objective and the SDGs.

Chapters analyse selected interrelations between IP law and other areas of law, including energy and financial law. Contributors explore the dimension of social development through timely examples such as the global solar photovoltaic market, the trend towards reusing and recycling, and the digital distribution of news services. This thought-provoking book argues for sustainable markets as an overreaching and contextual approach to the role of IP rights in tackling the challenges of the UN SDGs.
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Asha Vijay Durafe, "Intellectual Property Rights"
English | ASIN : B08N4VRQ86 | 2020 | PDF | 7 MB
This book acts as a ready reckoner not only for students but also for instructors as it covers various aspects of IPR. The book is designed with substantial pedagogy, and the reader does not have to refer to multiple books for a single course with multiple dimensions. The book is written in simple language, catering to the curriculum for major and reputed universities all over the country. This book aims to facilitate students in their preparation for university exams, competitive exams or technical interviews.

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Sibi G. (author), "Intellectual Property Rights, Bioethics, Biosafety and Entrepreneurship in Biotechnology"
English | ISBN: 9386768747 | 2020 | pages | PDF | 25 MB
This book is divided in 4 parts. Part-I is devoted to issues of intellectual property rights (IPRs). It is intended as a primer for those who are involved or associated with understanding the needs for improving the integrity of scientific documentation. Part-II addresses the technical aspects of biosafety in research. Part-III is oriented to bioethics. It describes emerging legal, social and policy issues pertaining to biotechnology and intellectual property laws. Part-IV deals with entrepreneurship activities in biotechnology. It also outlines the opportunities in the field of biotechnology, ethical considerations, key issues and practical matters for entrepreneurs in biotechnology.

Salient Features:
Provides basic and comprehensive knowledge pertaining to intellectual property rights.
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Intelligence-Driven Circular Economy:
Regeneration Towards Sustainability and Social Responsibility-Volume 2
English | 2025 | ISBN: 3031742192 | 640 Pages | PDF (True) | 12.4 MB

This book provides a platform for scholars and researchers to present the latest insights and findings on the role of artificial intelligence and smart digital solutions in fostering the circular economy. Additionally, the book shades the lights on the vital role of circular economy in achieving sustainability and social responsibility. It covers a variety of research topics including circular economy, sustainability, AI applications, legislation and regulation, smart cities, social entrepreneurship and AI, digital transformation, knowledge management, and cybersecurity. This edited book serves as a reference and guide to graduate students, researchers, and academics conducting research and taking courses in artificial intelligence, sustainability, and the circular economy.

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Intelligent Change: The Science Behind Digital Transformations by Alexander Budzier, Thomas Gottschalck, Kim Bjørn Thuesen, Astrid Lanng
English | January 28th, 2025 | ISBN: 1394304595 | 224 pages | True EPUB | 3.63 MB
Shepherd your firm through its next digital transformation initiative

Only 1 in 200 digital transformations finish on time, within budget, and realize the planned benefits. To avoid the same fate, you must understand why so many fail, and some succeed. In Intelligent Change: The Science Behind Digital Transformations, a team of renowned project management and digital transformation experts delivers a how-to manual for expansive technology change initiatives at firms of all types and sizes. The authors rely on a systematic review of over 1800 publications, interviews with 160 top-level managers, and fieldwork studying 150 digital transformation projects to bring you research- and data-backed strategies you can implement at your own organization to ensure your own project provides business value.
Learn what strategies work and why. Understand which strategies don't work and what pitfalls to avoid. You'll find step-by-step guidance on how to execute a digital transformation using the keys to successful change initiatives, including:
* Establishing ownership amongst your front-line managers and staff that goes beyond mere support and promotion of the change
* Building trusting relationships between the different levels of your organization
* Creating effective two-way communication between the planners of the technology change and the ground-level staff implementing it
Perfect for managers, executives, entrepreneurs, founders, and other business leaders, Intelligent Change is also a must-read for project managers and IT professionals tasked with shepherding their companies through their next major technological change.

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Intelligent Computing and Optimization for Sustainable Development by Veena Grover, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
English | December 19, 2024 | ISBN: 1032624566 | 272 pages | MOBI | 19 Mb
This book presents insights into how Intelligent Computing and Optimization techniques can be used to attain the goals of Sustainable Development. It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimization techniques across various industries, including business process management, manufacturing, financial sector, agriculture, financial sector, supply chain management, and healthcare. It focuses on computational intelligent techniques and optimization techniques to provide sustainable solutions to many problems.

Features:
* Provides insights into the theory, implementation, and application of computational intelligence techniques in many industries.
* Includes industry practitioner perspectives and case studies for a better understanding of sustainable solutions.
* Highlights the role of intelligent computing and optimization as key technologies in decision-making processes and in providing cutting-edge solutions to real-world problems.
* Addresses the challenges and limitations of computational approaches in sustainability, such as data availability, model uncertainty, and computational complexity, while also discusses emerging opportunities and future directions in the field.
This book will be useful for professionals and scholars looking for up-to-date research on cutting-edge perspectives in the field of computational intelligent and optimization techniques in the areas of agriculture, industry, financial sector, business automation, renewable energy, optimization, and smart cities.

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Intelligent Computing and Optimization
English | 2025 | ISBN: 3031733231 | 678 Pages | PDF (True) | 52 MB
This book of Springer Nature is another proof of Springer's outstanding and greatness on the lively interface of Smart Computational Optimization, Green Infrastructure, Innovative Modeling and Deep Learning Architectures! It is a Master Piece of what our community of Academics and Experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Holistic Operational Research and Experience of the World-Leader Springer Nature!

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Intelligent Computing in Carcinogenic Disease Detection (Computational Intelligence Methods and Applications) by Kaushik Das Sharma, Subhajit Kar, Madhubanti Maitra
English | May 17, 2024 | ISBN: 9819724236 | 194 pages | MOBI | 16 Mb
This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2.

Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection.
In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.

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Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints:
Unveiling Cutting-Edge Research and Insights
English | 2025 | ISBN: 9819603196 | 341 Pages | PDF EPUB (True) | 32 MB

This book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications. The book rigorously provides problem analysis, controller design, and stability theory. In addition, numerous simulation examples are given to demonstrate the validity of the corresponding intelligent control methods, and the simulation results are illustrated in detail with graphs and tables. The methods proposed in this book eliminate some limitations of existing control methods in nonlinear systems and nonlinear multiagent systems with complex constraints and broaden the practical applications of intelligent control methods in industrial automation.

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Intelligent Designs, Innovations and Sustainability in Agriculture 4.0
English | 2025 | ISBN: 1032462590 | 310 Pages | PDF EPUB (True) | 46 MB
Feeding an expanding population in light of environmental preservation and keeping production lean is a considerable challenge. Sustainable and Precise Agriculture relying on Industry 4.0 (Agri4) points toward creating strategic collaborations, innovations, and alternative approaches to old concerns, and incorporating solutions from other expertise domains. It requires intensive efforts from governments, investors, investigators, and developers. These initiatives address many problems while connecting more agrarians and their communities. Agri4 entails key agribusiness developments, viz. precision agriculture, biotech, IoT, and Big Data, to augment efficiency in dealing with growing population and climate change. Agri4 is likely to yield improvements such as sustainable practices education, environmental residue reduction, seed improvement, and traditional agricultural knowledge usage, among others. It promotes sustainable food production, community development, and scientific literacy by fostering effective natural resource administration.

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Intelligent Photonics Systems: Technology and Applications
English | 2025 | ISBN: 1032939443 | 154 Pages | PDF EPUB (True) | 23 MB
The text comprehensively discusses the implementation of sensor systems using artificial intelligence, quantum device and circuit with artificial intelligence, and biomedical implementation of artificial intelligence-based optoelectronic circuits. It covers important topics such as photonic communication, optical and photonics neural networks, neuromorphic computing, quantum optics, and artificial intelligence leap in optical sensors, including biophotonics.

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Intelligent Resources Management for Vehicular Social Networks:
Societal Perspectives and Current Issues in the Digital Era
English | 2025 | ISBN: 3031801687 | 141 Pages | PDF EPUB (True) | 25 MB

This book explores integrating behavior prediction with artificial intelligence-driven resource management to provide a transformative framework for optimizing vehicular social networks (VSNs). The book starts by providing an overview of the key issues encountered in VSNs, including the dynamic and unpredictable nature of vehicular mobility, varying communication demands, and the need for efficient resource allocation. A significant portion of the book is dedicated to exploring behavior prediction models for vehicles in VSNs. By analyzing the past movements, interactions, and social behaviors of vehicles, this book presents various prediction algorithms to anticipate future positions, communication patterns, and resource requirements. With behavior prediction as a foundation, the book delves into the design and implementation of intelligent resource management systems for VSNs. It demonstrates how predictive capabilities empower these systems to allocate communication, computing and caching resources dynamically. The book extensively evaluates the proposed intelligent resource management approach through extensive simulations and practical experiments. The results showcase the effectiveness of the system, highlighting significant improvements in network performance compared to traditional resource allocation methods. These findings validate the potential of behavior prediction and intelligent resource management in revolutionizing VSNs. Finally, this book provides conclusions and promising directions, hoping to stimulate future research outcomes in the field of vehicular networks from different perspectives. The book serves as an invaluable resource for researchers, engineers, and industry professionals interested in advancing the field of vehicular networks and harnessing behavior prediction to create efficient, safe, and intelligent VSNs.

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Intelligent Robots and Cobots: Industry 5.0 Applications
English | 2025 | ISBN: 1394198175 | 561 Pages | EPUB | 33 MB
Industry 5.0 focuses on using collaborative robots, or cobots, enabling users to design with greater freedom. This book, structured into 18 chapters and three sections - Fundamentals; Applications; and Challenges - reflect the current and emerging market trends that shape industrial growth. Each chapter explores how businesses incorporating hardware and software like AI, cognitive computing, blockchain, IIoT, and more―are capitalizing on these innovations to maintain a competitive edge. The research and development in the areas of technology has increased the cost-effectiveness and acceptance of these IoT-enabled devices in many different industries. Various sectors including manufacturing, healthcare, transportation, and agriculture sectors, have begun incorporating robots and cobots into their operations. They are aiming to increase their productivity, reduce the downtime of their equipment, and optimize resource utilization.

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Intelligent System and Data Analysis: SSIC 2023 Doctoral Symposium
English | 2025 | ISBN: 9819751993 | 572 Pages | PDF (True) | 25 MB
This book features original papers from the Doctoral Symposium in 4th International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2023), organized by Manipal University, Jaipur, India, during 26-27 October 2023. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. The book offers high-quality content and the broad range of topics useful for researchers pursuing advanced studies.

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Intelligent Systems, Volume 2
English | 2025 | ISBN: 9819781590 | 485 Pages | PDF (True) | 28 MB
This book features best selected research papers presented at the Fourth International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2024) held at GIET University, Gunupur, India, during 8-10 April 2024. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human-computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing, and statistical analysis of search techniques.

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