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Leveraging Iot And Machine Learning For Smart Urban Planning


Leveraging Iot And Machine Learning For Smart Urban Planning
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Leveraging Iot And Machine Learning For Smart Urban Planning


Leveraging Iot And Machine Learning For Smart Urban Planning
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Author : Muneer Ahmad
language : en
Publisher: Information Science Reference
Release Date : 2025

Leveraging Iot And Machine Learning For Smart Urban Planning written by Muneer Ahmad and has been published by Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Computers categories.


"The objective of the book is to explore and demonstrate how advanced technologies like the Internet of Things (IoT) and machine learning can be applied to urban planning to make cities smarter, more efficient, and more sustainable"--



Leveraging Iot And Machine Learning For Smart Urban Planning


Leveraging Iot And Machine Learning For Smart Urban Planning
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Author : Ahmad, Muneer
language : en
Publisher: IGI Global
Release Date : 2025-04-09

Leveraging Iot And Machine Learning For Smart Urban Planning written by Ahmad, Muneer and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Political Science categories.


The integration of the Internet of Things (IoT) and machine learning (ML) transforms the way cities are planned, developed, and managed, creating a new era of smart urban planning. By connecting physical infrastructure with real-time data, IoT devices enable cities to collect and analyze large amounts of information on data like traffic patterns and energy usage to air quality and public services. When paired with the predictive capabilities of machine learning, this data can optimize urban systems, enhance sustainability, and improve residential quality of life. Smart urban planning powered by IoT and ML facilitates more efficient resource management while fostering greater resilience in the face of urban challenges, such as population growth, environmental pressures, and climate change. This innovative approach may help create cities that are smarter, more adaptive, and better equipped to meet future needs. Leveraging IoT and Machine Learning for Smart Urban Planning explores the integration of IoT and machine learning technologies to create smarter, more efficient, and sustainable environments. It covers theoretical foundations, practical applications, and real-world case studies across various sectors including urban planning, transportation, energy management, agriculture, healthcare, water resources, and waste management. This book covers topics such as citizen engagement, renewable energy, smart cities, and is a useful resource for policymakers, business owners, engineers, sociologists, academicians, researchers, and data scientists.



Artificial Intelligence And Machine Learning In Smart City Planning


Artificial Intelligence And Machine Learning In Smart City Planning
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Author : Vedik Basetti
language : en
Publisher: Elsevier
Release Date : 2023-01-11

Artificial Intelligence And Machine Learning In Smart City Planning written by Vedik Basetti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-11 with Science categories.


Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques. - Reviews the smart city concept and teaches how it can contribute to achieving urban development priorities - Explains soft computing techniques for smart city applications - Describes how to model problems for effective analysis, intelligent decision making, and optimal operation and control in the smart city paradigm - Teaches how to carry out independent projects using soft computing techniques in a vast range of areas in diverse fields like engineering, management, and sciences



Proceedings Of Fourth International Conference On Computing And Communication Networks


Proceedings Of Fourth International Conference On Computing And Communication Networks
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Author : Akshi Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-07-02

Proceedings Of Fourth International Conference On Computing And Communication Networks written by Akshi Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Technology & Engineering categories.


This book includes selected peer-reviewed papers presented at fourth International Conference on Computing and Communication Networks (ICCCN 2024), held at Manchester Metropolitan University, UK, during 17–18 October 2024. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.



Artificial Intelligence And Machine Learning For Sustainable Development


Artificial Intelligence And Machine Learning For Sustainable Development
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Author : Pawan Whig
language : en
Publisher: CRC Press
Release Date : 2024-12-18

Artificial Intelligence And Machine Learning For Sustainable Development written by Pawan Whig and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.


Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.



Methodologies Frameworks And Applications Of Machine Learning


Methodologies Frameworks And Applications Of Machine Learning
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Author : Srivastava, Pramod Kumar
language : en
Publisher: IGI Global
Release Date : 2024-03-22

Methodologies Frameworks And Applications Of Machine Learning written by Srivastava, Pramod Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-22 with Computers categories.


Technology is constantly evolving, and machine learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest machine learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. Academic scholars seeking to unlock the potential of machine learning in the context of Industry 5.0 and advanced IoT applications will find that the groundbreaking book, Methodologies, Frameworks, and Applications of Machine Learning, introduces an unmissable opportunity to delve into the forefront of modern research and application. This book offers a wealth of knowledge and practical insights across a wide array of topics, ranging from conceptual frameworks and methodological approaches to the application of probability theory, statistical techniques, and machine learning in domains as diverse as e-government, healthcare, cyber-physical systems, and sustainable development, this comprehensive guide equips you with the tools to navigate the complexities of Industry 5.0 and the Internet of Things (IoT).



Iot Architectures Models And Platforms For Smart City Applications


Iot Architectures Models And Platforms For Smart City Applications
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Author : Chowdhry, Bhawani Shankar
language : en
Publisher: IGI Global
Release Date : 2019-12-27

Iot Architectures Models And Platforms For Smart City Applications written by Chowdhry, Bhawani Shankar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-27 with Computers categories.


Developing countries are persistently looking for efficient and cost-effective methods for transforming their communities into smart cities. Unfortunately, energy crises have increased in these regions due to a lack of awareness and proper utilization of technological methods. These communities must explore and implement innovative solutions in order to enhance citizen enrollment, quality of government, and city intelligence. IoT Architectures, Models, and Platforms for Smart City Applications provides emerging research exploring the theoretical and practical aspects of transforming cities into intelligent systems using IoT-based design models and sustainable development projects. This publication looks at how cities can be built as smart cities within limited resources and existing advanced technologies. Featuring coverage on a broad range of topics such as cloud computing, human machine interface, and ad hoc networks, this book is ideally designed for urban planners, engineers, IT specialists, computer engineering students, research scientists, academicians, technology developers, policymakers, researchers, and designers seeking current research on smart applications within urban development.



Proceedings Of The 2024 3rd International Conference On Economics Smart Finance And Contemporary Trade Esfct 2024


Proceedings Of The 2024 3rd International Conference On Economics Smart Finance And Contemporary Trade Esfct 2024
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Author : Kun Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-10-19

Proceedings Of The 2024 3rd International Conference On Economics Smart Finance And Contemporary Trade Esfct 2024 written by Kun Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-19 with Business & Economics categories.


This book is open access. About ESFCT 2024 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade ESFCT2022 has been successfully held on July 22-24, 2022 in Xi’an, China. ESFCT2023 has been held on July 28-30, 2023 in Dali, China. In the ever-evolving landscape of global economics, the integration of smart finance and the intricacies of contemporary trade practices play a pivotal role in shaping the future of economies around the world. The 3rd International Conference on Economics, Smart Finance, and Contemporary Trade (ESFCT 2024) serves as a premier forum for academics, researchers, professionals, and policymakers from various disciplines to engage in a comprehensive discussion on the latest trends, challenges, and advancements in the field. ESFCT 2024 aims to foster a deeper understanding of the dynamic interplay between economic theories, the innovative application of smart financial instruments, and the evolving nature of global trade dynamics. Research Background: The landscape of global finance and trade has been undergoing substantial transformations, driven by technological advancements, shifts in geopolitical relations, and changing consumer behaviors. The emergence of smart finance, characterized by the application of blockchain, artificial intelligence, and big data analytics, has revolutionized the way financial services are delivered and consumed. Concurrently, contemporary trade practices are adapting to new realities, including the rise of e-commerce, changes in supply chain management, and the increasing importance of sustainability considerations. Amidst these shifts, understanding the economic implications of these trends is crucial for policymakers, businesses, and researchers alike. Research Status: Current research in the domain of economics, smart finance, and contemporary trade is vast and multifaceted, reflecting the complexity of the global economic system. Theories of economic growth and development continue to evolve, incorporating insights from behavioral economics, environmental economics, and the study of economic resilience. In the realm of smart finance, significant progress has been made in exploring the potential of technologies like blockchain for enhancing transparency, reducing fraud, and facilitating more efficient transactions. Similarly, research on contemporary trade practices is focusing on the impact of trade wars, the reconfiguration of global supply chains, and the role of international trade agreements in shaping economic outcomes. Research Objectives: The primary objectives of ESFCT 2024 are to: 1. Provide an interdisciplinary platform for sharing the latest research findings, innovative ideas, and best practices in the fields of economics, smart finance, and contemporary trade. 2. Foster collaboration among participants from academia, industry, and government to address the complex challenges facing the global economy. 3. Highlight the implications of recent technological advancements for financial services, trade practices, and economic policy. 4. Explore the interconnections between economic theory, financial innovation, and trade dynamics, with a particular focus on sustainability and inclusion. 5. Encourage the development of forward-looking strategies that leverage the potential of smart finance and contemporary trade to promote economic growth and resilience.



Leveraging Urban Computing For Sustainable Urban Development


Leveraging Urban Computing For Sustainable Urban Development
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Author : Beslin Pajila, P.J.
language : en
Publisher: IGI Global
Release Date : 2025-04-11

Leveraging Urban Computing For Sustainable Urban Development written by Beslin Pajila, P.J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Political Science categories.


Key technologies, such as Internet of Things (IoT), artificial intelligence (AI), big data analytics, and cloud computing, can be used to create intelligent, data driven cities that address complex urban challenges. Innovations in urban computing may effectively manage and control systems for traffic congestion, energy consumption, environmental monitoring, and waste management. As a result, these cutting-edge technologies can reshape urban environments for enhanced sustainability, efficiency, and citizen wellbeing. Further exploration of these technological impacts may project how future developments will further revolutionize urban living and governance. Leveraging Urban Computing for Sustainable Urban Development examines smart cities and urban computing, offering new insights into how emerging technologies can address pressing urban challenges and providing actionable insights for policymakers and urban planners. The emphasis on sustainability, social equity, and accessibility influences future smart city governance, ensuring that future developments prioritize inclusivity and resource efficiency. Covering topics such as remote monitoring, urban-rural sustainability dynamics, and disaster management, this book is an excellent resource for urban planners, government officials, policymakers, engineers, environmental scientists, business owners, researchers, academicians, and more.



Advanced Implementation Of Iot Systems Leveraging Mqtt And Node Red For Real Time Data Management


Advanced Implementation Of Iot Systems Leveraging Mqtt And Node Red For Real Time Data Management
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-08

Advanced Implementation Of Iot Systems Leveraging Mqtt And Node Red For Real Time Data Management written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-08 with Computers categories.


Embark on a transformative journey into the world of the Internet of Things (IoT) with "Advanced Implementation of IoT Systems: Leveraging MQTT and Node-RED for Real-Time Data Management." This essential guidebook is meticulously crafted to equip you with a profound understanding of two pivotal technologies shaping the IoT landscape: MQTT, a lightweight messaging protocol for efficient communication between devices, and Node-RED, a visual programming tool that streamlines the development of IoT applications. From the foundational principles of IoT to the advanced features of MQTT and the sophisticated capabilities of Node-RED, this book covers an extensive spectrum of knowledge. Through a blend of comprehensive explanations, detailed examples, and real-world, project-based learning, you will master the skills necessary to develop robust, secure, and scalable IoT solutions. Whether you're a professional seeking to advance your career, a hobbyist eager to dive into the world of IoT, or a student aspiring to make a mark in this dynamic field, "Advanced Implementation of IoT Systems" promises to be an invaluable resource. Prepare to harness the power of IoT and unleash your potential in creating innovative, connected solutions that drive tangible change.