Priya Batta – författare

Blockchain Technology in Water Management and New Energy Economy explores the transformative role of blockchain in addressing two of the most pressing global challenges: efficient water resource management and the transition to a sustainable energy future. As climate change, population growth, and urbanization exert increasing pressure on natural resources, traditional systems for managing water and energy are proving inadequate. This book presents blockchain as a powerful enabler of transparency, decentralization, and trust in resource governance, offering innovative solutions that can reshape these critical sectors. The book is divided into two major sections. The first focuses on water management, covering how blockchain can enhance monitoring, prevent water theft, support real-time quality assessments, and enable equitable distribution through smart contracts. It examines case studies where decentralized ledger technology has improved water conservation, optimized irrigation systems in agriculture, and facilitated peer-to-peer water trading.The second section delves into the new energy economy, highlighting blockchain’s potential in supporting renewable energy integration, smart grids, decentralized energy markets, and carbon credit tracking. It discusses how blockchain can empower consumers to become "prosumers" — both producing and consuming energy — while maintaining secure and traceable transactions. Additionally, the book explores cross-cutting themes such as data privacy, regulatory challenges, scalability, and the socio-economic impact of blockchain adoption. Through real-world examples, technical insights, and forward-looking perspectives, this book provides a comprehensive guide for researchers, policy makers, engineers, and sustainability advocates seeking to understand and apply blockchain technology for a greener and more resource-efficient future.

Blockchain and the Water Supply Chain explores the transformative potential of blockchain technology in ensuring sustainable, transparent and efficient water governance. Placing water at the center of smart infrastructure innovation, the book addresses the urgent need for trustworthy and traceable systems in the distribution and management of water resources.This book also delves into how blockchain can revolutionize the water supply chain through decentralized monitoring, smart contracts and immutable data records to reduce losses, enhance accountability and enable real-time decision making. It analyzes key challenges such as interoperability, scalability and regulatory hurdles, while also showcasing innovative use cases and pilot projects across the globe. With contributions from experts in water management, blockchain and environmental policy, this book bridges the gap between digital innovation and sustainable resource management, and is an essential guide for researchers, policymakers and technologists aiming to reshape the future of water systems.

Sustainable Supply Chains and Carbon Footprint Reduction explores how blockchain technology enables greener, more accountable supply chains by improving traceability, reducing inefficiencies and offering real-time visibility into resource use and carbon emissions.This book examines how blockchain creates secure, tamper-proof records of supply chain activities, helping industries track products from origin to consumption while ensuring compliance with environmental standards. Through real-world case studies and practical strategies, it highlights blockchain's role in driving sustainable practices across sectors such as agriculture, manufacturing, logistics and energy.Designed for business leaders, sustainability professionals and policymakers, this book provides actionable insights for leveraging blockchain to meet climate goals and support circular economy initiatives and demonstrates how digital innovation and sustainability can work together to create transparent, resilient and environmentally responsible supply chains.

AI-driven Innovations in Physiotherapy and Oncology 1 explores the transformative impact of artificial intelligence (AI) on two critical domains of healthcare. As the global demand for personalized, efficient and data-driven medical interventions increases, this book offers a timely examination of how AI technologies are reshaping clinical practices in both physiotherapy and oncology. The book explores how AI supports early cancer detection, personalized treatment planning and monitoring of disease progression, while also playing a pivotal role in physiotherapy by enabling intelligent rehabilitation strategies tailored to oncology patients. From AI-driven motion analysis and virtual physiotherapy assistants to predictive models for treatment response and functional recovery, this book showcases innovations that optimize physical therapy outcomes for cancer patients. It also addresses ethical challenges, data governance and the integration of AI within clinical workflows. Designed for clinicians, researchers and healthcare innovators, this book is a vital resource for understanding how AI bridges the gap between oncology care and rehabilitative physiotherapy.

AI-driven Innovations in Physiotherapy and Oncology 2 explores the transformative impact of artificial intelligence (AI) on two critical domains of healthcare. As the global demand for personalized, efficient and data-driven medical interventions increases, this book offers a timely examination of how AI technologies are reshaping clinical practices in both physiotherapy and oncology.The book explores how AI supports early cancer detection, personalized treatment planning and monitoring of disease progression, while also playing a pivotal role in physiotherapy by enabling intelligent rehabilitation strategies tailored to oncology patients. From AI-driven motion analysis and virtual physiotherapy assistants to predictive models for treatment response and functional recovery, this book showcases innovations that optimize physical therapy outcomes for cancer patients. It also addresses ethical challenges, data governance and the integration of AI within clinical workflows. Designed for clinicians, researchers and healthcare innovators, this book is a vital resource for understanding how AI bridges the gap between oncology care and rehabilitative physiotherapy.

AI-driven Innovations in Physiotherapy and Oncology 3 is positioned at the intersection of artificial intelligence (AI), clinical rehabilitation and cancer care, addressing the growing need for data-driven, personalized and technology-enabled healthcare solutions. The book contextualizes recent advances in machine learning, deep learning, computer vision and intelligent decision-support systems within modern physiotherapy and oncology practices. This book systematically explores how AI models enhance diagnosis, treatment planning, therapy optimization and outcome prediction across musculoskeletal rehabilitation, neuro-physiotherapy, radiation oncology and precision cancer care. It covers sensor-based motion analysis, AI-assisted imaging, predictive analytics, digital therapeutics and intelligent rehabilitation platforms, supported by real-world case studies and implementation frameworks. The book also discusses ethical considerations, clinical validation, interoperability and regulatory challenges to bridge the gap between research and practice. Designed for researchers, clinicians, graduate students and healthcare technologists, this book provides both theoretical foundations and practical insights for integrating AI into next-generation physiotherapy and oncology workflows

AI-driven Healthcare Innovations presents a timely and authoritative exploration of how artificial intelligence (AI) is transforming modern clinical practices and medical research. Positioned at the intersection of healthcare, data science and computational intelligence, this book provides a comprehensive context for understanding the growing role of AI in diagnosis, treatment and decision-making within neurology and broader medical domains. The book systematically examines core AI techniques, including machine learning (ML), deep learning (DL) and intelligent optimization, and demonstrates their practical deployment across neurological disorders, medical imaging, predictive analytics and personalized care. Emphasis is placed on real-world clinical workflows, data acquisition and preprocessing, model interpretability and performance evaluation. In addition, we also address ethical considerations, regulatory challenges and data security issues critical to healthcare adoption. By combining theoretical foundations with applied case studies and future research directions, this book serves as a valuable resource for researchers, clinicians, graduate students and industry professionals seeking to leverage AI-driven innovations to improve patient outcomes and advance next-generation healthcare systems.

This book offers a transformative approach to enhancing transparency, security, and efficiency in travel, providing actionable strategies for industry professionals and enthusiasts alike.

This book offers a solutions-driven exploration of how blockchain can practically advance global sustainability and circular economy goals. Key uses include designing blockchain-enabled recycling systems, developing ethical guidelines, and fostering global collaboration on resource management.

This book highlights the intersection of quantum computing and blockchain technology, addressing the urgent need for enhanced security measures in a post-quantum world.