Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms.

Wearable continuous monitoring systems are necessary in risky environments such as mining and diving and are especially important in the medical monitoring of patients both in medical facilities and at home. All these applications of monitoring with data transmission functions can be achieved by using wearable antennas. Recently, possibilities of connecting completely independent appliances with textiles have emerged. However, full success will be achieved only when antennas and all related components are entirely converted into 100% textile materials. Design and Optimization of Sensors and Antennas for Wearable Devices provides innovative insights on the development of adaptable materials and textile antennas that can be used in the construction of wearable devices that are biocompatible and offer high conductivity, low cost, simplistic manufacturing, are comfortable for the wearer, and are water/climate safe and condition amicable. The content within this publication examines data transmission, wearable computing, and medical applications. It is designed for engineers, manufacturers, researchers, academicians, and scientists who are interested in the development of wearable technologies.

Variety of bacteria are present in our environment but only a few of these bacteria causes diseases in their hosts including humans. These bacteria face different stresses in the environment as well as inside the host and adapt number of strategies for their survival. In 5 parts Bacterial Survival in the Hostile Environment covers all tactics and strategies adopted by bacteria for their survival under stressed conditions and will be focused on mechanistic insights of pathogenic adaptations to host environments (acidic environment, microaerobic conditions, immune system stress, metal stress etc., modulation of host pathways by pathogens for survival, dormancy, drug tolerance and resistance, proteins for stress survival). The content also includes different adaptation mechanisms of extremophiles to extreme environment, provides a complete and globally available advance knowledge related to bacterial survival from different perspectives and reviews the knowledge gaps and future prospects in the field of microbial adaptation for sustainable development of in the field of infection biology and pharmaceutics.

Electron Spin Resonance in Food Science covers, in detail, the ESR identification of the irradiation history of food products and beverages to investigate changes that occur during storage, with an aim of improving hygienic quality and extending shelf-life with minimal tempering in nutritional profile. The book also includes ESR studies on the interaction of food items and packaging materials, along with a section on new approaches in ESR identification of irradiated foods that is followed by a chapter on international legislation relevant to irradiated food. A section on ESR applications in characterizing ROS/antioxidants in food items and lipid oxidation, including spin labeling, spin trapping and imaging applications is also covered, as are ESR applications in nutrition and pharmaceutics.

Artificial intelligence has become an invaluable tool in modern society and can be utilized across fields such as healthcare, travel, education, and construction. There are numerous benefits for companies, industries, and governments when adopting this technology into their daily operations as it continues to evolve to support the needs of society. Further study on the challenges and strategies of implementation is required in order to ensure the technology is employed to its full potential. Artificial Intelligence for Societal Development and Global Well-Being considers the various uses, best practices, and success factors of artificial intelligence across fields and industries and discusses critical ways in which the technology must be developed further for the good of society. Covering a range of topics such as smart devices, artificial neural networks, and natural intelligence, this reference work is crucial for scientists, librarians, business owners, government officials, entrepreneurs, scholars, researchers, practitioners, instructors, and students.

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Artificial intelligence has been applied to many areas of science and technology, including the power and energy sector. Renewable energy in particular has experienced the tremendous positive impact of these developments. With the recent evolution of smart energy technologies, engineers and scientists working in this sector need an exhaustive source of current knowledge to effectively cater to the energy needs of citizens of developing countries. Computational Methodologies for Electrical and Electronics Engineers is a collection of innovative research that provides a complete insight and overview of the application of intelligent computational techniques in power and energy. Featuring research on a wide range of topics such as artificial neural networks, smart grids, and soft computing, this book is ideally designed for programmers, engineers, technicians, ecologists, entrepreneurs, researchers, academicians, and students.

A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now there is sufficient improvement in AI, IoT and data analytics to deal with real time problems with an increased focus on early prediction using machine learning and deep learning algorithms. With the power of artificial intelligence alongside the internet of 'medical' things, these algorithms can input the characteristics/data of their patients and get predictions of future diagnoses, classifications, treatment and costs. Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions discusses deep learning algorithms in medical diagnosis, including applications such as Covid-19 detection, dementia detection, and predicting chemotherapy outcomes on breast cancer tumours. Smart healthcare monitoring frameworks using IoT with big data analytics are explored and the latest trends in predictive technology for solving real-time health care problems are examined. By using real-time data inputs to build predictive models, this new technology can literally 'see' your future health and allow clinicians to intervene as needed. This book is suitable reading for researchers interested in healthcare technology, big data analytics, and artificial intelligence.

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.

Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence provides different spectroscopic techniques and their application to food quality analysis, with the unique approach of adding multivariate analysis as well as artificial intelligence applications. It also brings chromatographic methods for the analysis of a wide range of food items including wheat flours, oils and fats. Written by a team of interdisciplinary experts, this is a valuable resource for researchers and personnel involved in food industries.

This book explores the intricate and intimate relationship between military organization, imperial policy, and society in colonial South Asia. The chapters in the volume focus on technology, logistics, and state building. The present volume highlights the salient features of expansion and consolidation of imperial control over the subcontinent, and ultimate demise of the Raj. Further, it turns the spotlight on to subaltern challenges to imperialism as well as the role of non-combatants in warfare. The volume: * Deals with both conventional and guerrilla conflicts and focuses on the frontiers (both North-West and North-East, including Burma); * Looks at the army as an institution rather than present a chronological account of military operations, which highlights the complex and tortuous relationship between combat institution, colonial state, and Indian society; * Integrates top-down approaches in military and strategic studies with the bottom-up perspectives and discusses on how the conduct of war (organisation and technology) is related to the economic, societal, and cultural impact of war. A rich account of the British 'Army in India', this book will be essential reading for scholars and researchers of South Asian history, military history, political history, colonialism, and the British Empire.

This installment in the Techniques in Life Science and Biomedicine for the Non-Expert series aims to describe ESR spectroscopy as a tool for different applications, such as Healthcare & Pharmaceutical Science, Paleontology & Geochronology and Food Science. In keeping with the series theme, this text is presented in such a manner that the amateur researcher or graduate student can absorb it, while highlighting recent advances and applications of the field. Chapters include solved examples and questions to reinforce themes and encourage readers to apply what they've learnt.

Nanotechnology is expected to bring revolutionary changes in a variety of fields. This volume describes nanoparticles and their biomedical applications, and covers metal nanoparticles, metal oxide nanoparticles, rare earth based nanoparticles and graphene oxide nanoparticles. It elaborates on a number of biomedical applications, including therapeutic applications. It addresses the topic of green synthesis, in view of increasing health and environmental concerns.

This book explores the lives and social histories of Indians soldiers who fought in the First World War. It focuses on their motivations, experiences, and lives after returning from service in Europe, Mesopotamia, East Africa, and Palestine, to present a more complete picture of Indian participation in the war. The book looks at the Indian support to the war for political concessions from the British government and its repercussions through the perspective of the role played by more than one million Indian soldiers and labourers. It examines the social and cultural aspects of the experience of fighting on foreign soil in a deadly battle and their contributions which remain largely unrecognised. From micro-histories of fighting soldiers, aspects of recruitment and deployment, to macro-histories connecting different aspects of the War, the volume explores a variety of themes including: the material incentives, coercion and training which converted peasants into combatants; encounters of travelling Indian soldiers with other societies; and the contributions of returned soldiers in Indian society. The book will be useful to researchers and students of history, post-colonial studies, sociology, literature, and cultural studies as well as for those interested in military history, World War I, and colonial history.

This empirically rich volume presents a holistic picture of the electoral process in Indian states and the return of the BJP to power. Drawing on the 2019 elections, it presents ground-level data to understand various aspects of elections: the nature of campaigning, caste, class and identity politics, electoral issues, poll strategies of different parties in the fray, electoral issues, electoral verdicts, the contestants, the leadership factor, the formation of government, among other empirical details. The essays underline the determinants of electoral behaviour by looking into the correlation between the background variables of voters and their voting choices. The essays also compare and contrast the 2019 election verdicts from the earlier elections held in the state under study. A long view of Indian state politics, this book will be essential reference for scholars and researchers of politics, especially political processes, and South Asian studies.

Discusses architectural issues of nanocomputing using QCA Explores different floorplans that would facilitate manufacturability Develops and discusses flexible, and efficient clocking schemes, which greatly improve the flexibility of circuit design Explores Software development tools for the design and the characterization of QCA circuits Reviews on synthesis methods to generate QCA circuits efficiently

1. Covers latest concepts in intelligent analytics for industry 4.0. 2. Presents the applications of intelligent analytics for various industry 4.0 domains. 3. Covers latest research topics in the field. 4. Written in a comprehensive and simple manner. 5. The text is accompanied by tables and illustrative figures for better understanding of the topic.

Green Synthesis, Characterization and Applications of Nanoparticles shows how eco-friendly nanoparticles are engineered and used. In particular, metal nanoparticles, metal oxide nanoparticles and other categories of nanoparticles are discussed. The book outlines a range of methodologies and explores the appropriate use of each. Characterization methods include spectroscopic, microscopic and diffraction methods, but magnetic resonance methods are also included as they can be used to understand the mechanism of nanoparticle synthesis using organisms. Applications covered include targeted drug delivery, water purification and hydrogen generation. This is an important research resource for those wishing to learn more about how eco-efficient nanoparticles can best be used. Theoretical details and mathematical derivations are kept to a necessary minimum to suit the need of interdisciplinary audiences and those who may be relatively new to the field.

This volume analyzes the trial of Bahadur Shah, a watershed moment in the 19th-century colonial history of India. The trial of Bahadur Shah raises the contentious issue of sovereignty - trial of Emperor Bahadur Shah, de jure power by de facto claimant to power, the English East India Company. There has been a lot of confusion and controversy over the trial ever since the proceedings began - its main architects could not define if it really was a juristic trial, a court of enquiry, a court-martial, or a general enquiry? This book sheds light on this event through the original, unprinted manuscript of the Trial at the end of the uprising of the 1857. It critically investigates the trial, mainly its architecture, grammar, functioning, and findings from historical, political, and juridical perspectives to determine, as far as possible, the actual position of Emperor Bahadur Shah, his strengths, and his weaknesses. Further, it examines the Rebellion of 1857, particularly in Delhi, and Bahadur Shah's role therein. A key reading on justice in colonial history, this volume will be of interest to researchers and scholars of colonial and imperial history, modern history, political theory, and South Asia studies. It will also be of great interest to general readers interested in learning about the colonization of India by the British and its commercial arm East India Company.

Presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research Offers a compendium of current and emerging machine learning paradigms for healthcare informatics and reflects on the diversity and complexity through the use of case studies Provides a panoramic view of data and machine learning techniques and provides an opportunity for novel insights and discovers Explores the theory and practical applications of machine learning in healthcare Includes a guided tour of machine learning algorithms, architecture design, and applications and in interdisciplinary challenges

Exclusive title discussing interdisciplinary research aspects in a coherent manner for materials science researchers Presents key concepts of engineering sciences as relevant for materials science in terms of fundamentals and applications Discusses engineering mechanics, biological and physical sciences Includes case studies on biomedical materials and renewable energy