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Author: Mohamed Lahby
Publisher: Springer Nature
ISBN: 3030964299
Category : Science
Languages : en
Pages : 418
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Book Description
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.
Author: Mohamed Lahby
Publisher: Springer Nature
ISBN: 3030964299
Category : Science
Languages : en
Pages : 418
Get Book Here
Book Description
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.
Author: Balamurugan Balusamy
Publisher: Springer Nature
ISBN: 3030481417
Category : Architecture
Languages : en
Pages : 214
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Book Description
The book collects the latest research and thinking from international experts on green computing and the smart city. The financial and environmental costs of energy are a concern in smart cities due to the high usage of computing, technology, security, IoT, communications, traffic, and other technologies. This book tackles this problem with a focus on computing, reporting on various approaches being taken worldwide, illustrated by several international case studies demonstrating these approaches. Researchers use this book as an up-to-date reference and engineers use it as a guide for the design and implementation of real solutions.
Author: Wael M. S. Yafooz
Publisher: Springer Nature
ISBN: 3031211995
Category : Technology & Engineering
Languages : en
Pages : 279
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Book Description
This book introduces and presents the newest up-to-date methods, approaches and technologies on how to detect child cyberbullying on social media as well as monitor kids E-learning, monitor games designed and social media activities for kids. On a daily basis, children are exposed to harmful content online. There have been many attempts to resolve this issue by conducting methods based on rating and ranking as well as reviewing comments to show the relevancy of these videos to children; unfortunately, there still remains a lack of supervision on videos dedicated to kids. This book also introduces a new algorithm for content analysis against harmful information for kids. Furthermore, it establishes the goal to track useful information of kids and institutes detection of kid’s textual aggression through methods of machine and deep learning and natural language processing for a safer space for children on social media and online and to combat problems, such as lack of supervision, cyberbullying, kid’s exposure to harmful content. This book is beneficial to postgraduate students and researchers' concerns on recent methods and approaches to kids' cybersecurity.
Author: Hui Liu
Publisher: Springer Nature
ISBN: 9811528373
Category : Computers
Languages : en
Pages : 338
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Book Description
Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities. Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.
Author: Yassine Maleh
Publisher: Elsevier
ISBN: 0323950973
Category : Technology & Engineering
Languages : en
Pages : 374
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Book Description
Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data. - Presents the state-of-the-art in machine intelligence and related technologies and methodologies for IoT in healthcare - Discusses emerging developments and trends in machine intelligence for business and decision-making strategy in healthcare - Features new models, practical solutions, prototypes, frameworks and technological advances related to machine intelligence for MIoT applications
Author: Al-Humairi, Safaa Najah Saud
Publisher: IGI Global
ISBN:
Category : Political Science
Languages : en
Pages : 632
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Book Description
As global urbanization continues to accelerate, smart cities emerge as a strategy to address the complexities of modern urban life. These cities invest in human and social capital, communication, infrastructure, and technology to drive sustainable economic growth and ensure a high quality of life. Participatory governance plays a crucial role in managing natural and man-made resources effectively. Driven by a growing global population and a pressing need to address environmental concerns, the concept of a “smart city” has emerged as a potential solution. Sustainable Smart Cities and the Future of Urban Development delves into the exciting intersection of sustainable development and smart city technologies, exploring how these forces can be harnessed to shape a more livable and resilient future for our urban environments. Through a multidisciplinary lens, this book explores the concept of sustainable smart cities by elucidating their fundamental characteristics and components. Covering topics such as artificial intelligence (AI), renewable energy, and waste management, this book is an excellent resource for urban planners, architects, technology developers, innovators, community leaders, industry professionals, academicians, researchers, and more.
Author: Manish Prateek
Publisher: Springer Nature
ISBN: 9813340878
Category : Technology & Engineering
Languages : en
Pages : 786
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Book Description
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
Author: Bentalha, Badr
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 365
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Book Description
Integrating Intelligence and Sustainability in Supply Chains is a comprehensive research guide that delves into the realm of sustainable and smart supply chains. With a focus on bridging the gap between intelligence and sustainability, this book provides a valuable resource for graduate students in business, management, industrial engineering, and industrial ecology. It serves as a unifying platform for researchers across various domains, including operations management, industrial ecology, industrial strategy, risk management, and life cycle assessment, who are passionate about sustainable and smart supply chains. This book offers a wealth of groundbreaking insights from renowned scholars and field experts. It serves as a theoretical and conceptual foundation for environmental researchers seeking a business, policy, or industry perspective. By addressing the key issues at the intersection of operations management and environmental and social responsibility, the book presents a novel approach to mitigating negative impacts and aligning logistics with sustainability and digitalization requirements. Structured in a modular format, this book allows readers to explore specific current topics relevant to their interests. It covers a wide range of subjects, such as measuring environmental impacts, transforming supply chains to meet sustainability challenges, business models for sustainable logistics, and integrative business strategies. Furthermore, the book addresses emerging technologies like big data analytics, artificial intelligence, and the Internet of Things (IoT), exploring their applications in supply chain management.
Author: Naim, Arshi
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 422
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Book Description
The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.
Author: K. Saravanan
Publisher: CRC Press
ISBN: 1000405834
Category : Computers
Languages : en
Pages : 341
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Book Description
Handbook of Green Engineering Technologies for Sustainable Smart Cities focuses on the complete exploration and presentation of green smart city applications, techniques, and architectural frameworks. It provides detailed coverage of urban sustainability spanning across various engineering disciplines. The book discusses and explores green engineering technologies for smart cities and covers various engineering disciplines and environmental science. It emphasizes techniques, application frameworks, tools, and case studies. All chapters play a part in the evolution of sustainable green smart cities and present how to solve environmental issues by applying modern industrial IoT solutions. This book will benefit researchers, smart city practitioners, academicians, university students, and policy makers.
