Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities

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Publisher : Springer Nature
ISBN 13 : 3030844595
Total Pages : 239 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities by : Panos M. Pardalos

Download or read book Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities written by Panos M. Pardalos and published by Springer Nature. This book was released on 2022-01-09 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities. Special features include: New research on the design of city elements and smart systems with respect to new technologies and scientific thinking Discussions on the theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments The book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.

Explainable Artificial Intelligence for Smart Cities

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Publisher : CRC Press
ISBN 13 : 1000472361
Total Pages : 361 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Explainable Artificial Intelligence for Smart Cities by : Mohamed Lahby

Download or read book Explainable Artificial Intelligence for Smart Cities written by Mohamed Lahby and published by CRC Press. This book was released on 2021-11-09 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become ‘black-box’ to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

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Publisher : Springer Nature
ISBN 13 : 3030920380
Total Pages : 927 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities by : Mustapha Hatti

Download or read book Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities written by Mustapha Hatti and published by Springer Nature. This book was released on 2021-11-24 with total page 927 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.

Security in Smart Cities: Models, Applications, and Challenges

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Publisher : Springer
ISBN 13 : 3030015602
Total Pages : 364 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Security in Smart Cities: Models, Applications, and Challenges by : Aboul Ella Hassanien

Download or read book Security in Smart Cities: Models, Applications, and Challenges written by Aboul Ella Hassanien and published by Springer. This book was released on 2018-11-04 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an essential guide to IoT Security, Smart Cities, IoT Applications, etc. In addition, it presents a structured introduction to the subject of destination marketing and an exhaustive review on the challenges of information security in smart and intelligent applications, especially for IoT and big data contexts. Highlighting the latest research on security in smart cities, it addresses essential models, applications, and challenges. Written in plain and straightforward language, the book offers a self-contained resource for readers with no prior background in the field. Primarily intended for students in Information Security and IoT applications (including smart cities systems and data heterogeneity), it will also greatly benefit academic researchers, IT professionals, policymakers and legislators. It is well suited as a reference book for both undergraduate and graduate courses on information security approaches, the Internet of Things, and real-world intelligent applications.

Road Vehicle Automation 3

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Publisher : Springer
ISBN 13 : 3319405039
Total Pages : 292 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Road Vehicle Automation 3 by : Gereon Meyer

Download or read book Road Vehicle Automation 3 written by Gereon Meyer and published by Springer. This book was released on 2016-07-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book comprises papers about the impacts, benefits and challenges of connected and automated cars. It is the third volume of the LNMOB series dealing with Road Vehicle Automation. The book comprises contributions from researchers, industry practitioners and policy makers, covering perspectives from the U.S., Europe and Japan. It is based on the Automated Vehicles Symposium 2015 which was jointly organized by the Association of Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Ann Arbor, Michigan, in July 2015. The topical spectrum includes, but is not limited to, public sector activities, human factors, ethical and business aspects, energy and technological perspectives, vehicle systems and transportation infrastructure. This book is an indispensable source of information for academic researchers, industrial engineers and policy makers interested in the topic of road vehicle automation.

Smart Cities and Artificial Intelligence

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Publisher : Elsevier
ISBN 13 : 0128170247
Total Pages : 274 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Smart Cities and Artificial Intelligence by : Christopher Grant Kirwan

Download or read book Smart Cities and Artificial Intelligence written by Christopher Grant Kirwan and published by Elsevier. This book was released on 2020-05-19 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics and visualization, sensors, and smart connected objects. These recent advances in AI move us closer to developing urban operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. Exploring cities as real-time, living, dynamic systems, and providing tools and formats including generative design and living lab models that support cities to become self-regulating, this book provides readers with a conceptual and practical knowledge base to grasp and apply the key principles required in the planning, design, and operations of smart cities. Smart Cities and Artificial Intelligence brings a multidisciplinary, integrated approach, examining how the digital and physical worlds are converging, and how a new combination of human and machine intelligence is transforming the experience of the urban environment. It presents a fresh holistic understanding of smart cities through an interconnected stream of theory, planning and design methodologies, system architecture, and the application of smart city functions, with the ultimate purpose of making cities more liveable, sustainable, and self-sufficient. Explores concepts in smart city design and development and the transformation of cities through the convergence of human, machine, and natural systems enabled by Artificial Intelligence (AI) Includes numerous diagrams to illustrate and explain complex smart city systems and solutions Features diverse smart city examples and initiatives from around the globe

Internet of Energy for Smart Cities

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Publisher : CRC Press
ISBN 13 : 1000410986
Total Pages : 323 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Internet of Energy for Smart Cities by : Anish Jindal

Download or read book Internet of Energy for Smart Cities written by Anish Jindal and published by CRC Press. This book was released on 2021-07-19 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It provides in-depth knowledge to build the technical understanding for the reader to pursue various research problems in this field. Moreover, the example problems in smart cities and their solutions using machine learning are provided as relatable to the real-life scenarios. Aimed at Graduate Students, Researchers in Computer Science, Electrical Engineering, Telecommunication Engineering, Internet of Things, Machine Learning, Green computing, Smart Grid, this book: Covers all aspects of Internet of Energy (IoE) and smart cities including research problems and solutions. Points to the solutions provided by machine learning to optimize the grids within a smart city set-up. Discusses relevant IoE design principles and architecture. Helps to automate various services in smart cities for energy management. Includes case studies to show the effectiveness of the discussed schemes.

Hands-On Artificial Intelligence for IoT

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Publisher : Packt Publishing Ltd
ISBN 13 : 1788832760
Total Pages : 382 pages
Book Rating : 4.7/5 (888 download)

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Book Synopsis Hands-On Artificial Intelligence for IoT by : Amita Kapoor

Download or read book Hands-On Artificial Intelligence for IoT written by Amita Kapoor and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.

Intelligent Green Technologies for Sustainable Smart Cities

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Publisher : John Wiley & Sons
ISBN 13 : 1119816114
Total Pages : 372 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Intelligent Green Technologies for Sustainable Smart Cities by : Suman Lata Tripathi

Download or read book Intelligent Green Technologies for Sustainable Smart Cities written by Suman Lata Tripathi and published by John Wiley & Sons. This book was released on 2022-08-24 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Green Technologies for Sustainable Smart Cities Presenting the concepts and fundamentals of smart cities and developing “green” technologies, this volume, written and edited by a global team of experts, also goes into the practical applications that can be utilized across multiple disciplines and industries, for both the engineer and the student. Smart cities and green technologies are quickly becoming two of the most important areas of development facing today’s engineers, scientists, students, and other professionals. Written by a team of experts in these fields, this outstanding new volume tackles the problem of detailing advances in smart city development, green technologies, and where the two areas intersect to create innovation and revolutionary solutions. This group of hand-selected and vetted papers deals with the fundamental concepts of adapting artificial intelligence, machine learning techniques with green technologies, and many other advances in concepts related to these key areas. Including the most recent research and developments available, this book is an extraordinary source of knowledge for students, engineers seeking the latest research, and facilities and other professionals working in the area of green technologies and challenges and solutions in urban planning and smart city development.

Artificial Intelligence and Machine Learning

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Author :
Publisher : HiTeX Press
ISBN 13 :
Total Pages : 284 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Artificial Intelligence and Machine Learning by : Robert Johnson

Download or read book Artificial Intelligence and Machine Learning written by Robert Johnson and published by HiTeX Press. This book was released on 2024-10-27 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Artificial Intelligence and Machine Learning: A Comprehensive Guidebook" offers a masterful exploration into the dynamic fields of AI and ML, providing readers with a thorough understanding of foundational concepts and cutting-edge advancements. This guidebook seamlessly navigates through essential topics including supervised and unsupervised learning, neural networks, and reinforcement learning. Each chapter is crafted to build on the previous, ensuring a cohesive learning experience for both beginners and advancing practitioners, as it demystifies complex subjects with clarity and precision. Beyond technical exposition, the book delves into the pivotal ethical considerations and future trends, critically examining AI's societal impact and the responsible development practices required to harness its potential. It addresses pressing challenges such as bias, accountability, and the evolving regulatory landscape while highlighting the transformative applications in sectors like healthcare, finance, and autonomous systems. As a definitive resource in the AI landscape, this guidebook equips readers with the knowledge to navigate and innovate in the rapidly evolving world of artificial intelligence and machine learning.

Smart Cities and Circular Economy

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Publisher : Emerald Group Publishing
ISBN 13 : 1837979596
Total Pages : 273 pages
Book Rating : 4.8/5 (379 download)

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Book Synopsis Smart Cities and Circular Economy by : Vinay Kandpal

Download or read book Smart Cities and Circular Economy written by Vinay Kandpal and published by Emerald Group Publishing. This book was released on 2024-09-12 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressing resource depletion and environmental concerns for sustainable urban living, Smart Cities and Circular Economy unveils the transformative potential and challenges of integrating these ideas while emphasizing environmental, social, and economic benefits.

Data-Driven Mining, Learning and Analytics for Secured Smart Cities

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Publisher : Springer Nature
ISBN 13 : 3030721396
Total Pages : 383 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Data-Driven Mining, Learning and Analytics for Secured Smart Cities by : Chinmay Chakraborty

Download or read book Data-Driven Mining, Learning and Analytics for Secured Smart Cities written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2021-04-28 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.

Computational Intelligence Techniques for Green Smart Cities

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Publisher :
ISBN 13 : 9783030964306
Total Pages : 0 pages
Book Rating : 4.9/5 (643 download)

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Book Synopsis Computational Intelligence Techniques for Green Smart Cities by : Mohamed Lahby

Download or read book Computational Intelligence Techniques for Green Smart Cities written by Mohamed Lahby and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.

Digital Twins for Smart Cities and Villages

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Publisher : Elsevier
ISBN 13 : 0443288852
Total Pages : 702 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Digital Twins for Smart Cities and Villages by : Sailesh Iyer

Download or read book Digital Twins for Smart Cities and Villages written by Sailesh Iyer and published by Elsevier. This book was released on 2024-11-01 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts. - Uniquely focuses on applications for smart cities and villages, including smart services for health, education, mobility, and agriculture - Provides use cases and practical deployment of research involved in the emerging uses of digital twins - Discusses all pertinent issues, challenges, and possible solutions instrumental in implementing digital twins smart solutions in this context - Edited and authored by a global team of experts in their given fields

Smart Cities, Green Technologies, and Intelligent Transport Systems

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Publisher : Springer Nature
ISBN 13 : 3031374703
Total Pages : 181 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Smart Cities, Green Technologies, and Intelligent Transport Systems by : Cornel Klein

Download or read book Smart Cities, Green Technologies, and Intelligent Transport Systems written by Cornel Klein and published by Springer Nature. This book was released on 2023-07-08 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 11th International Conference on Smart Cities and Green ICT Systems and 8th International Conference on Vehicle Technology and Intelligent Transport Systems, SMARTGREENS 2022 and VEHITS 2022 was held Virtually on April 27–29, 2022. The 7 full papers included in this book were carefully reviewed and selected from 80 submissions. They were organized in topical sections as follows:​smart cities and green ICT systems and vehicle technology and intelligent transport systems.

Enhancing Medical Imaging with Emerging Technologies

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Publisher : IGI Global
ISBN 13 :
Total Pages : 412 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Enhancing Medical Imaging with Emerging Technologies by : Sharma, Avinash Kumar

Download or read book Enhancing Medical Imaging with Emerging Technologies written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2024-04-15 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of medical imaging is rapidly evolving, with new technologies and techniques constantly emerging. However, this fast-paced advancement brings challenges such as the complexity of imaging modalities, the need for continuous education and training, and the integration of emerging technologies like AI and robotics into existing healthcare systems. Healthcare professionals and technology enthusiasts often need help to keep pace with these changes and may feel overwhelmed by the vast amount of information and possibilities in the field. Enhancing Medical Imaging with Emerging Technologies offers a comprehensive solution to these challenges. By providing a thorough introduction to medical imaging systems, including the fundamentals of system theory and image processing, the book serves as a foundational resource for understanding the complex world of medical imaging. It covers various imaging modalities, from conventional camera systems to advanced techniques like magnetic resonance imaging and optical coherence tomography, offering readers a holistic view of the field. This book is a valuable resource that inspires hope, sparks curiosity, and paints a vivid picture of the limitless potential of medical imaging.

Emerging Technologies for Smart Cities

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Publisher : Springer Nature
ISBN 13 : 9811615500
Total Pages : 209 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Emerging Technologies for Smart Cities by : Prabin K. Bora

Download or read book Emerging Technologies for Smart Cities written by Prabin K. Bora and published by Springer Nature. This book was released on 2021-06-11 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the select proceedings of the International Conference on Emerging Global Trends in Engineering and Technology (EGTET 2020), held in Guwahati, India. The chapters in this book focus on the latest cleaner, greener, and efficient technologies being developed for the implementation of smart cities across the world. The broader topical sections include Smart Buildings, Infrastructures and Disaster Management; Smart Governance; Technologies for Smart Cities, and Wireless Connectivity for Smart Cities. This book will cater to students, researchers, industry professionals, and policy making bodies interested and involved in the planning and implementation of smart city projects.