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This handbook presents an authoritative overview of South Asia through the lens of geopolitics, political dynamics, economics, human security, and sustainable development. It brings together key insights from various disciplines to provide an in-depth understanding of the genesis, course, and future potential of South Asia as a region.

The handbook:

An invaluable addition to the study of South Asia, this volume will be an indispensable resource for scholars, teachers and researchers of political science, international relations, South Asia studies, South Asian politics, history, defence and strategic studies, political economy, developmental studies, public policy and sustainability studies.

This handbook presents an authoritative overview of South Asia through the lens of geopolitics, political dynamics, economics, human security, and sustainable development. It brings together key insights from various disciplines to provide an in-depth understanding of the genesis, course, and future potential of South Asia as a region.

The handbook:

An invaluable addition to the study of South Asia, this volume will be an indispensable resource for scholars, teachers and researchers of political science, international relations, South Asia studies, South Asian politics, history, defence and strategic studies, political economy, developmental studies, public policy and sustainability studies.

Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enormous amount of information every day. Due to the growing computing capacity of these devices as well as concerns over the transfer of private information, it has become important to process the part of the data locally by moving the learning methods and computing to the border of devices. Federated learning has developed as a model of education in these situations. Federated learning (FL) is an expert form of decentralized machine learning (ML). It is essential in areas like privacy, large-scale machine education and distribution. It is also based on the current stage of ICT and new hardware technology and is the next generation of artificial intelligence (AI). In FL, central ML model is built with all the data available in a centralised environment in the traditional machine learning. It works without problems when the predictions can be served by a central server. Users require fast responses in mobile computing, but the model processing happens at the sight of the server, thus taking too long. The model can be placed in the end-user device, but continuous learning is a challenge to overcome, as models are programmed in a complete dataset and the end-user device lacks access to the entire data package. Another challenge with traditional machine learning is that user data is aggregated at a central location where it violates local privacy policies laws and make the data more vulnerable to data violation. This book provides a comprehensive approach in federated learning for various aspects.

Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enormous amount of information every day. Due to the growing computing capacity of these devices as well as concerns over the transfer of private information, it has become important to process the part of the data locally by moving the learning methods and computing to the border of devices. Federated learning has developed as a model of education in these situations. Federated learning (FL) is an expert form of decentralized machine learning (ML). It is essential in areas like privacy, large-scale machine education and distribution. It is also based on the current stage of ICT and new hardware technology and is the next generation of artificial intelligence (AI). In FL, central ML model is built with all the data available in a centralised environment in the traditional machine learning. It works without problems when the predictions can be served by a central server. Users require fast responses in mobile computing, but the model processing happens at the sight of the server, thus taking too long. The model can be placed in the end-user device, but continuous learning is a challenge to overcome, as models are programmed in a complete dataset and the end-user device lacks access to the entire data package. Another challenge with traditional machine learning is that user data is aggregated at a central location where it violates local privacy policies laws and make the data more vulnerable to data violation. This book provides a comprehensive approach in federated learning for various aspects.

This handbook provides a comprehensive study of India’s maritime heritage. It presents perspectives on India’s maritime history, territorial concerns, bilateral and multilateral engagements, traditional and non-traditional threats, maritime management and development, as well as climate change and its implications. The volume brings together accomplished academicians and practitioners who, through multidisciplinary and analytical methodologies, examine the concerns and challenges India faces at present or might face in the immediate future, focusing on crucial actors, policies and new developments. In doing so, the handbook provides an invaluable and pragmatic understanding of and solutions to India’s maritime needs.

This volume is an indispensable resource for scholars, teachers and researchers of political science, international relations, South Asian studies, South Asian politics, history, defence and strategic studies, foreign policy, maritime strategy and security.

This handbook provides a comprehensive study of India’s maritime heritage. It presents perspectives on India’s maritime history, territorial concerns, bilateral and multilateral engagements, traditional and non-traditional threats, maritime management and development, as well as climate change and its implications. The volume brings together accomplished academicians and practitioners who, through multidisciplinary and analytical methodologies, examine the concerns and challenges India faces at present or might face in the immediate future, focusing on crucial actors, policies and new developments. In doing so, the handbook provides an invaluable and pragmatic understanding of and solutions to India’s maritime needs.

This volume is an indispensable resource for scholars, teachers and researchers of political science, international relations, South Asian studies, South Asian politics, history, defence and strategic studies, foreign policy, maritime strategy and security.

Exponential growth of the worldwide population requires increasing amounts of water, food, and energy. However, as the quantity of available fresh water and energy sources directly affecting cost of food production and transportation diminishes, technological solutions are necessary to secure sustainable supplies. In direct response to this reality, this book focuses on the water-energy-food nexus and describes in depth the challenges and processes involved in efficient water and energy production and management, wastewater treatment, and impact upon food and essential commodities. The book is organized into 4 sections on water, food, energy, and the future of sustainability, highlighting the interplay among these topics. The first section emphasizes water desalination, water management, and wastewater treatment. The second section discusses cereal processing, sustainable food security, bioenergy in food production, water and energy consumption in food processing, and mathematical modeling for food undergoing phase changes. The third section discusses fossil fuels, biofuels, synthetic fuels, renewable energy, and carbon capture. Finally, the book concludes with a discussion of the future of sustainability, including coverage of the role of molecular thermodynamics in developing processes and products, green engineering in process systems, petrochemical water splitting, petrochemical approaches to solar hydrogen generation, design and operation strategy of energy-efficient processes, and the sustainability of process, supply chain, and enterprise.

Exponential growth of the worldwide population requires increasing amounts of water, food, and energy. However, as the quantity of available fresh water and energy sources directly affecting cost of food production and transportation diminishes, technological solutions are necessary to secure sustainable supplies. In direct response to this reality, this book focuses on the water-energy-food nexus and describes in depth the challenges and processes involved in efficient water and energy production and management, wastewater treatment, and impact upon food and essential commodities. The book is organized into 4 sections on water, food, energy, and the future of sustainability, highlighting the interplay among these topics. The first section emphasizes water desalination, water management, and wastewater treatment. The second section discusses cereal processing, sustainable food security, bioenergy in food production, water and energy consumption in food processing, and mathematical modeling for food undergoing phase changes. The third section discusses fossil fuels, biofuels, synthetic fuels, renewable energy, and carbon capture. Finally, the book concludes with a discussion of the future of sustainability, including coverage of the role of molecular thermodynamics in developing processes and products, green engineering in process systems, petrochemical water splitting, petrochemical approaches to solar hydrogen generation, design and operation strategy of energy-efficient processes, and the sustainability of process, supply chain, and enterprise.