Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities
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Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities
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Author : Panos M. Pardalos
language : en
Publisher: Springer Nature
Release Date : 2022-01-09
Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities written by Panos M. Pardalos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-09 with Mathematics categories.
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.
Security In Smart Cities Models Applications And Challenges
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer
Release Date : 2018-11-04
Security In Smart Cities Models Applications And Challenges written by Aboul Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-04 with Technology & Engineering categories.
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.
Explainable Artificial Intelligence For Smart Cities
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Author : Mohamed Lahby
language : en
Publisher:
Release Date : 2024-10-07
Explainable Artificial Intelligence For Smart Cities written by Mohamed Lahby and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Computers categories.
The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. This book provides a timely, global reference source about cutting edge research efforts to ensure the XAI factor in smart city-oriented developments.
Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities
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Author : Mustapha Hatti
language : en
Publisher: Springer Nature
Release Date : 2021-11-24
Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities written by Mustapha Hatti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-24 with Technology & Engineering categories.
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.
Computational Intelligence Techniques For Green Smart Cities
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Author : Mohamed Lahby
language : en
Publisher: Springer Nature
Release Date : 2022-04-22
Computational Intelligence Techniques For Green Smart Cities written by Mohamed Lahby and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-22 with Science categories.
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.
Artificial Intelligence And Machine Learning For Smart Construction Enhancing Real Time Monitoring And Decision Making
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Author : Shreeshail Heggond
language : en
Publisher: Deep Science Publishing
Release Date : 2025-03-26
Artificial Intelligence And Machine Learning For Smart Construction Enhancing Real Time Monitoring And Decision Making written by Shreeshail Heggond and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.
This book is designed to: Bridge the Knowledge Gap Many professionals in the construction industry are unfamiliar with how AI and ML can be applied to their daily workflows. This book serves as a guide, demystifying these technologies and explaining their practical applications in construction engineering. Highlight the Potential of AI/ML By showcasing real-world examples and case studies, the book illustrates how AI and ML are revolutionizing every phase of construction, from planning and design to execution and maintenance. Promote Efficient Decision-Making Construction projects are often delayed or exceed budgets due to inefficient decision-making and unforeseen challenges. AI and ML empower engineers and managers to predict potential issues, optimize resources, and make informed decisions in real time, minimizing delays and cost overruns. Emphasize Real-Time Monitoring Real-time monitoring has become a critical component of modern construction management. Using AI-powered sensors, drones, and IoT devices, project teams can continuously track progress, identify risks, and ensure quality control. This book explores these tools and their implementation in detail. Encourage Sustainable and Resilient Practices With growing concerns over environmental sustainability, this book highlights how AI and ML can contribute to eco-friendly construction practices. By optimizing material usage, reducing energy consumption, and predicting the lifecycle performance of structures, these technologies are paving the way for a more sustainable construction industry. Improve Project Outcomes Successful construction projects are defined by their ability to meet deadlines, stay within budget, and deliver quality results. This book demonstrates how AI and ML are becoming indispensable for achieving these goals by improving collaboration, automating repetitive tasks, and enabling predictive analytics.
Citizen Centric Artificial Intelligence For Smart Cities
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Author : Sharma, Ashok
language : en
Publisher: IGI Global
Release Date : 2025-05-07
Citizen Centric Artificial Intelligence For Smart Cities written by Sharma, Ashok and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Political Science categories.
Artificial Intelligence (AI) has transformative potential in shaping the future of urban living. AI-driven initiatives are revolutionizing various aspects of smart city development, from infrastructure optimization to environmental sustainability. At the heart of this lies the concept of citizen-centric design, where AI technologies are harnessed to prioritize the needs, preferences, and well-being of urban communities across key domains such as transportation, energy management, public safety, healthcare, and governance. An emphasis on ethical considerations in AI deployment, including privacy protection, transparency, accountability, and inclusivity, is critical for ensuring that AI technologies are developed and deployed in a manner that respects the rights and dignity of urban residents. Citizen-Centric Artificial Intelligence for Smart Cities provides insights into the role of AI in shaping smart city development and offers policy recommendations for leveraging AI to improve urban governance, service delivery, and citizen engagement. This comprehensive analysis uncovers the ways in which AI-based services are reshaping the urban landscape and empowering citizens to actively participate in the co-creation of their cities, inspiring the exploration of new avenues and the development of innovative solutions to address urban challenges. Covering topics such as robotic communication, disaster situational awareness, and data governance, this book is an excellent resource for policymakers, government officials, computer scientists, professionals, researchers, scholars, academicians, and more.
Road Vehicle Automation 3
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Author : Gereon Meyer
language : en
Publisher: Springer
Release Date : 2016-07-01
Road Vehicle Automation 3 written by Gereon Meyer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-01 with Technology & Engineering categories.
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.
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.
This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.
Ai And Emerging Technologies For Emergency Response And Smart Cities
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Author : Mobo, Froilan D.
language : en
Publisher: IGI Global
Release Date : 2025-04-23
Ai And Emerging Technologies For Emergency Response And Smart Cities written by Mobo, Froilan D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Technology & Engineering categories.
Emerging technologies are transforming diverse industries, enhancing efficiency and safety. Artificial intelligence (AI), in particular, can be useful for enhancing emergency response systems and developing smart cities and campuses. They can be leveraged to improve urban safety, streamline emergency management, and create sustainable smart environments. As a result, AI is an innovative solution for creating a safer future. AI and Emerging Technologies for Emergency Response and Smart Cities provides insights into the latest technological advancements and discusses the challenges, ethical considerations, and future directions in the rapidly evolving field of urban development. Covering topics such as disaster risk management, weapon identification, and early warning systems, this book is an excellent resource for urban developers, policymakers, professionals, researchers, scholars, academicians, and more.