Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

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Publisher : IGI Global
ISBN 13 : 179988788X
Total Pages : 411 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization by : Iyer, Sailesh Suryanarayan

Download or read book Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization written by Iyer, Sailesh Suryanarayan and published by IGI Global. This book was released on 2021-12-24 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sudden outbreak of the COVID-19 pandemic has curbed human lifestyle by imposing restrictions on regular daily movements that had been taken for granted. Due to the pandemic, the welfare segment has received more attention, and every possible effort is being made to prioritize the services at the top. This can be made possible while using the latest tools, technologies, and resources that impact the human culture and welfare of well-being. Novel methods and devices that make the welfare services more efficient, adaptive, transparent, and cost-effective need to be explored. The Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization offers extensive research on lifestyle management and services that contribute towards indication, detection, conduction, protection, and technological enhancement including machine learning, deep learning, artificial intelligence, big data analytics, and visualization. It also provides mechanisms that can improve lifestyle monitoring and help in increasing the immunity of the human body. Covering topics such as big data, robot therapy, and wearable technology, it is ideal for students, researchers, technologists, IT specialists, computer engineers, systems engineers, data scientists, doctors, hospital administrators, engineers, academicians, and technology providers.

Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

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Publisher :
ISBN 13 : 9781799887874
Total Pages : pages
Book Rating : 4.8/5 (878 download)

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Book Synopsis Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization by : Sailesh Suryanarayan Iyer

Download or read book Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization written by Sailesh Suryanarayan Iyer and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides extensive research of Lifestyle Management and Services that contribute towards indication, detection, conduction, protection and technological enhancement including Machine Learning, Deep Learning, Artificial Intelligence, Big Data Analytics and Visualization"--

Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning

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Publisher : IGI Global
ISBN 13 : 1799886875
Total Pages : 589 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning by : Habib, Maki K.

Download or read book Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning written by Habib, Maki K. and published by IGI Global. This book was released on 2022-02-25 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology spreads globally, researchers and scientists continue to develop and study the strategy behind creating artificial life. This research field is ever expanding, and it is essential to stay current in the contemporary trends in artificial life, artificial intelligence, and machine learning. This an important topic for researchers and scientists in the field as well as industry leaders who may adapt this technology. The Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning provides concepts, theories, systems, technologies, and procedures that exhibit properties, phenomena, or abilities of any living system or human. This major reference work includes the most up-to-date research on techniques and technologies supporting AI and machine learning. Covering topics such as behavior classification, quality control, and smart medical devices, it serves as an essential resource for graduate students, academicians, stakeholders, practitioners, and researchers and scientists studying artificial life, cognition, AI, biological inspiration, machine learning, and more.

Immersive Virtual and Augmented Reality in Healthcare

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Publisher : CRC Press
ISBN 13 : 1000964051
Total Pages : 222 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Immersive Virtual and Augmented Reality in Healthcare by : Rajendra Kumar

Download or read book Immersive Virtual and Augmented Reality in Healthcare written by Rajendra Kumar and published by CRC Press. This book was released on 2023-10-09 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare. The book uses a blend of interdisciplinary approaches such as IoT, blockchain, augmented reality, and virtual reality for the implementation of cost-effective, real-time, and user-friendly solutions for healthcare problems. Immersive Virtual and Augmented Reality in Healthcare: An IoT and Blockchain Perspective presents the trends, best practices, techniques, developments, sensors, materials, and case studies that are using augmented and virtual reality environments with the state-of-the-art latest technologies like IoT, blockchain, and machine learning in the implementation of healthcare systems. The book focuses on the design and implementation of smart healthcare systems with major challenges to further explore more robust and efficient healthcare solutions in terms of low cost, faster algorithms, more sensitive IoT sensors, faster data communication, and real-time solutions for treatment. It discusses the use of virtual and augmented reality and how it can provide user-friendly and interactive communication within healthcare systems. Illustrated through case studies, the book conveys how different hospitals and healthcare equipment providers can adopt good practices found in the book to improve the performance/productivity of their staff and system. The content is rounded out by providing how IoT, blockchain, and artificial intelligence can provide the framework for designing and/or upgrading traditional healthcare systems by increasing security and data privacy. A valuable resource for engineers working with systems, the healthcare professionals involved in the design and development of healthcare devices and systems, researcher scholars, multidisciplinary scientists, students, and academics who are wishing to explore the use of virtual and augmented reality in new and existing healthcare systems.

Handbook on Augmenting Telehealth Services

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Publisher : CRC Press
ISBN 13 : 100382563X
Total Pages : 405 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Handbook on Augmenting Telehealth Services by : Sonali Vyas

Download or read book Handbook on Augmenting Telehealth Services written by Sonali Vyas and published by CRC Press. This book was released on 2024-01-30 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems. Features Provides knowledge of AI-empowered telehealth systems for efficient healthcare services Discusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.

Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis

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Publisher : IGI Global
ISBN 13 : 1668439832
Total Pages : 277 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis by : Gupta, Rajeev Kumar

Download or read book Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis written by Gupta, Rajeev Kumar and published by IGI Global. This book was released on 2022-06-10 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weather forecasting and climate behavioral analysis have traditionally been done using complicated physics models and accompanying atmospheric variables. However, the traditional approaches lack common tools, which can lead to incomplete information about the weather and climate conditions, in turn affecting the prediction accuracy rate. To address these problems, the advanced technological aspects through the spectrum of artificial intelligence of things (AIoT) models serve as a budding solution. Further study on artificial intelligence of things and how it can be utilized to improve weather forecasting and climatic behavioral analysis is crucial to appropriately employ the technology. Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis discusses practical applications of artificial intelligence of things for interpretation of weather patterns and how weather information can be used to make critical decisions about harvesting, aviation, etc. This book also considers artificial intelligence of things issues such as managing natural disasters that impact the lives of millions. Covering topics such as deep learning, remote sensing, and meteorological applications, this reference work is ideal for data scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Data Science and Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 9819978203
Total Pages : 533 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Data Science and Applications by : Satyasai Jagannath Nanda

Download or read book Data Science and Applications written by Satyasai Jagannath Nanda and published by Springer Nature. This book was released on with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reshaping Environmental Science Through Machine Learning and IoT

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Publisher : IGI Global
ISBN 13 :
Total Pages : 459 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Reshaping Environmental Science Through Machine Learning and IoT by : Gupta, Rajeev Kumar

Download or read book Reshaping Environmental Science Through Machine Learning and IoT written by Gupta, Rajeev Kumar and published by IGI Global. This book was released on 2024-05-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).

Convergence of Blockchain and Internet of Things in Healthcare

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Publisher : CRC Press
ISBN 13 : 1040011349
Total Pages : 359 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Convergence of Blockchain and Internet of Things in Healthcare by : Arun Kumar Rana

Download or read book Convergence of Blockchain and Internet of Things in Healthcare written by Arun Kumar Rana and published by CRC Press. This book was released on 2024-04-22 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) and blockchain are two new technologies that combine elements in many ways. A system where the virtual and physical worlds interact is created by integrating pervasive computing, ubiquitous computing, communication technologies, sensing technologies, Internet Protocol, and embedded devices. A massive number of linked devices and vast amounts of data present new prospects for developing services that can directly benefit the economy, environment, society, and individual residents. Due to the size of IoT and insufficient data security, security breaches may have a huge impact and negative effects. IoT not only connects gadgets but also people and other entities, leaving every IoT component open to a wide variety of assaults. The implementation and application of IoT and blockchain technology in actual scientific, biomedical, and data applications are covered in this book. The book highlights important advancements in health science research and development by applying the distinctive capabilities inherent to distributed ledger systems. Each chapter describes the current uses of blockchain in real-world data collection, medicine development, device tracking, and more meaningful patient interaction. All of these are used to create opportunities for expanding health science research. This paradigm change is studied from the perspectives of pharmaceutical executives, biotechnology entrepreneurs, regulatory bodies, ethical review boards, and blockchain developers. Key Features: Provides a foundation for the implementation process of blockchain and IoT devices based on healthcare-related technology Image processing and IoT device researchers can correlate their work with other requirements of advanced technology in the healthcare domain Conveys the latest technology, including artificial intelligence and machine learning, in healthcare-related technology Useful for the researcher to explore new things like security, cryptography, and privacy in healthcare related technology Tailored for people who want to start in healthcare-related technology with blockchain and IoT This book is primarily for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and biomedical engineering.

Technological Advancements in Data Processing for Next Generation Intelligent Systems

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Publisher : IGI Global
ISBN 13 :
Total Pages : 380 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Technological Advancements in Data Processing for Next Generation Intelligent Systems by : Sharma, Shanu

Download or read book Technological Advancements in Data Processing for Next Generation Intelligent Systems written by Sharma, Shanu and published by IGI Global. This book was released on 2024-03-18 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.

Edge-AI in Healthcare

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Publisher : CRC Press
ISBN 13 : 1000906310
Total Pages : 278 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Edge-AI in Healthcare by : Sonali Vyas

Download or read book Edge-AI in Healthcare written by Sonali Vyas and published by CRC Press. This book was released on 2023-07-31 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data. Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare. This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications.

Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments

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Publisher : IGI Global
ISBN 13 : 1668449528
Total Pages : 319 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments by : Gupta, Manisha

Download or read book Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments written by Gupta, Manisha and published by IGI Global. This book was released on 2022-09-07 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout the world, artificial intelligence is reshaping businesses, trade interfaces, economic activities, and society as a whole. In recent years, scholarly research on artificial intelligence has emerged from a variety of empirical and applied domains of knowledge. Computer scientists have developed advanced deep learning algorithms to leverage its utility in a variety of fields such as medicine, energy, travel, education, banking, and business management. Although a growing body of literature is shedding light on artificial intelligence-enabled difficulties, there is still much to be gained by applying fresh theory-driven techniques to this vital topic. Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments provides a comprehensive understanding of the business systems, platforms, procedures, and mechanisms that underpin different stakeholders' experiences with reality-enhancing technologies and their transformative application in management. The book also identifies areas in various business processes where artificial intelligence intervention would not only transform the business but would also make the business more sustainable. Covering key topics such as blockchain, business automation, and manufacturing, this reference work is ideal for computer scientists, business owners, managers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things

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Publisher : IGI Global
ISBN 13 : 1668449935
Total Pages : 298 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things by : Mishra, Divya Upadhyay

Download or read book Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things written by Mishra, Divya Upadhyay and published by IGI Global. This book was released on 2022-09-23 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of innovative technologies, the study of industrial automation is obtaining extraordinary attention from academia, governments, researchers, and various industrial communities. The technical innovations in advanced technologies such as deep learning, blockchain, artificial intelligence of things (AIOT), and more have unlocked the potential for bringing intelligent automation and efficiency to the industries to control their various operations. These new technologies provide an efficient and secure way for industries to manage and develop products intelligently. Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things includes the recent advancements in exploring and developing AIOT-powered strategies and mechanisms for future industrial automation and transforming industrial functions and architectures to help improve various industrial operations. Covering topics such as convolutional neural networks, smart urban logistics, and industrial automation, this premier reference source is an excellent resource for computer scientists, IT managers, engineers, business leaders and executives, logistics managers, students and faculty of higher education, libraries, researchers, and academicians.

Real-Time Applications of Machine Learning in Cyber-Physical Systems

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Publisher : IGI Global
ISBN 13 : 1799893103
Total Pages : 307 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Real-Time Applications of Machine Learning in Cyber-Physical Systems by : Easwaran, Balamurugan

Download or read book Real-Time Applications of Machine Learning in Cyber-Physical Systems written by Easwaran, Balamurugan and published by IGI Global. This book was released on 2022-03-11 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advancements of recent decades have reshaped the way people socialize, work, learn, and ultimately live. The use of cyber-physical systems (CPS) specifically have helped people lead their lives with greater control and freedom. CPS domains have great societal significance, providing crucial assistance in industries ranging from security to healthcare. At the same time, machine learning (ML) algorithms are known for being substantially efficient, high performing, and have become a real standard due to greater accessibility, and now more than ever, multidisciplinary applications of ML for CPS have become a necessity to help uncover constructive solutions for real-world problems. Real-Time Applications of Machine Learning in Cyber-Physical Systems provides a relevant theoretical framework and the most recent empirical findings on various real-time applications of machine learning in cyber-physical systems. Covering topics like intrusion detection systems, predictive maintenance, and seizure prediction, this book is an essential resource for researchers, machine learning professionals, independent researchers, scholars, scientists, libraries, and academicians.

Research Anthology on Bioinformatics, Genomics, and Computational Biology

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Publisher : IGI Global
ISBN 13 :
Total Pages : 1509 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Research Anthology on Bioinformatics, Genomics, and Computational Biology by : Management Association, Information Resources

Download or read book Research Anthology on Bioinformatics, Genomics, and Computational Biology written by Management Association, Information Resources and published by IGI Global. This book was released on 2024-03-19 with total page 1509 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the evolving environment of bioinformatics, genomics, and computational biology, academic scholars are facing a challenging challenge – keeping informed about the latest research trends and findings. With unprecedented advancements in sequencing technologies, computational algorithms, and machine learning, these fields have become indispensable tools for drug discovery, disease research, genome sequencing, and more. As scholars strive to decode the language of DNA, predict protein structures, and navigate the complexities of biological data analysis, the need for a comprehensive and up-to-date resource becomes paramount. The Research Anthology on Bioinformatics, Genomics, and Computational Biology is a collection of a carefully curated selection of chapters that serves as the solution to the pressing challenge of keeping pace with the dynamic advancements in these critical disciplines. This anthology is designed to address the informational gap by providing scholars with a consolidated and authoritative source that sheds light on critical issues, innovative theories, and transformative developments in the field. It acts as a single reference point, offering insights into conceptual, methodological, technical, and managerial issues while also providing a glimpse into emerging trends and future opportunities.

Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research

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Author :
Publisher : Springer
ISBN 13 : 9789819716845
Total Pages : 0 pages
Book Rating : 4.7/5 (168 download)

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Book Synopsis Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research by : Gaurav Tripathi

Download or read book Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research written by Gaurav Tripathi and published by Springer. This book was released on 2024-06-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the potential of big data, artificial intelligence (AI), and data analytics to address climate change and achieve the Sustainable Development Goals (SDGs). Furthermore, the book covers a wide range of related topics, including climate change data sources, big data analytics techniques, remote sensing, renewable energy, open data, public–private partnerships, ethical and legal issues, and case studies of successful applications. The book also discusses the challenges and opportunities presented by these technologies and provides insights into future research directions. In order to address climate change and achieve the SDGs, it is crucial to understand the complex interplay between climate and environmental factors. The use of big data, AI, and data analytics can play a vital role in this effort by providing the means to collect, process, and analyze vast amounts of environmental data. This book is an essential resource for researchers, policymakers, and practitioners interested in leveraging these technologies to tackle the pressing challenge of climate change and achieve the SDGs.

Big Data Science and Analytics for Smart Sustainable Urbanism

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Author :
Publisher : Springer
ISBN 13 : 3030173127
Total Pages : 337 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Big Data Science and Analytics for Smart Sustainable Urbanism by : Simon Elias Bibri

Download or read book Big Data Science and Analytics for Smart Sustainable Urbanism written by Simon Elias Bibri and published by Springer. This book was released on 2019-05-30 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.