Artificial Intelligence And Machine Learning For Smart Community

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Artificial Intelligence and Machine Learning for Smart Community

T V Ramana,G S Pradeep Ghantasala,R Sathiyaraj,Mudassir Khan

Author : T V Ramana,G S Pradeep Ghantasala,R Sathiyaraj,Mudassir Khan
Publisher : CRC Press
Page : 148 pages
File Size : 40,7 Mb
Release : 2024-01-26
Category : Computers
ISBN : 9781003835721

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Artificial Intelligence and Machine Learning for Smart Community by T V Ramana,G S Pradeep Ghantasala,R Sathiyaraj,Mudassir Khan Pdf

Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.

Explainable Artificial Intelligence for Smart Cities

Mohamed Lahby,Utku Kose,Akash Kumar Bhoi

Author : Mohamed Lahby,Utku Kose,Akash Kumar Bhoi
Publisher : CRC Press
Page : 360 pages
File Size : 49,8 Mb
Release : 2021-11-10
Category : Technology & Engineering
ISBN : 9781000472363

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Explainable Artificial Intelligence for Smart Cities by Mohamed Lahby,Utku Kose,Akash Kumar Bhoi Pdf

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.

Applications of Artificial Intelligence for Smart Technology

Swarnalatha, P.,Prabu, S.

Author : Swarnalatha, P.,Prabu, S.
Publisher : IGI Global
Page : 330 pages
File Size : 53,8 Mb
Release : 2020-10-30
Category : Computers
ISBN : 9781799833376

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Applications of Artificial Intelligence for Smart Technology by Swarnalatha, P.,Prabu, S. Pdf

As global communities are attempting to transform into more efficient and technologically-advanced metropolises, artificial intelligence (AI) has taken a firm grasp on various professional fields. Technology used in these industries is transforming by introducing intelligent techniques including machine learning, cognitive computing, and computer vision. This has raised significant attention among researchers and practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart Technology is a pivotal reference source that provides vital research on the implementation of advanced technological techniques in professional industries through the use of AI. While highlighting topics such as pattern recognition, computational imaging, and machine learning, this publication explores challenges that various fields currently face when applying these technologies and examines the future uses of AI. This book is ideally designed for researchers, developers, managers, academicians, analysts, students, and practitioners seeking current research on the involvement of AI in professional practices.

International Conference on Artificial Intelligence for Smart Community

Rosdiazli Ibrahim,K. Porkumaran,Ramani Kannan,Nursyarizal Mohd Nor,S. Prabakar

Author : Rosdiazli Ibrahim,K. Porkumaran,Ramani Kannan,Nursyarizal Mohd Nor,S. Prabakar
Publisher : Springer Nature
Page : 1049 pages
File Size : 41,5 Mb
Release : 2022-11-13
Category : Technology & Engineering
ISBN : 9789811621833

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International Conference on Artificial Intelligence for Smart Community by Rosdiazli Ibrahim,K. Porkumaran,Ramani Kannan,Nursyarizal Mohd Nor,S. Prabakar Pdf

This conference proceeding gather a selection of peer-reviewed papers presented at the 1st International Conference on Artificial Intelligence for Smart Community (AISC 2020), held as a virtual conference on 17–18 December 2020, with the theme Re-imagining Artificial Intelligence (AI) for Smart Community to apply computational intelligence for biomedical instruments, automation & control, and smart community to develop suitable solution for various real-world application. The conference virtually brought together researchers, scientists, engineers, industrial professionals, and students presenting important results in the related field of healthcare technology, soft computing technologies, IoT, evolutionary computations, automation and control, smart manufacturing and smart cities. Researchers and scientist working in the allied domain of Artificial Intelligence and others will find the book useful as it will contain some latest computational intelligence methodologies and applications.

Artificial Intelligence and Machine Learning for COVID-19

Fadi Al-Turjman

Author : Fadi Al-Turjman
Publisher : Springer Nature
Page : 266 pages
File Size : 49,6 Mb
Release : 2021-02-19
Category : Technology & Engineering
ISBN : 9783030601881

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Artificial Intelligence and Machine Learning for COVID-19 by Fadi Al-Turjman Pdf

This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

Artificial Intelligence in Urban Planning and Design

Imdat As,Prithwish Basu,Pratap Talwar

Author : Imdat As,Prithwish Basu,Pratap Talwar
Publisher : Elsevier
Page : 404 pages
File Size : 51,8 Mb
Release : 2022-05-14
Category : Political Science
ISBN : 9780128239421

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Artificial Intelligence in Urban Planning and Design by Imdat As,Prithwish Basu,Pratap Talwar Pdf

Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems. The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology. Includes a cutting-edge catalogue of AI tools applied to smart city design and planning Provides case studies from around the globe at various scales Includes diagrams and graphics for course instruction

Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities

Mohd Abdul Ahad,Gabriella Casalino,Bharat Bhushan

Author : Mohd Abdul Ahad,Gabriella Casalino,Bharat Bhushan
Publisher : Springer Nature
Page : 409 pages
File Size : 52,7 Mb
Release : 2023-03-01
Category : Computers
ISBN : 9783031229220

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Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities by Mohd Abdul Ahad,Gabriella Casalino,Bharat Bhushan Pdf

With the rapid penetration of technology in varied application domains, the existing cities are getting connected more seamlessly. Cities becomes smart by inducing ICT in the classical city infrastructure for its management. According to McKenzie Report, about 68% of the world population will migrate towards urban settlements in near future. This migration is largely because of the improved Quality of Life (QoL) and livelihood in urban settlements. In the light of urbanization, climate change, democratic flaws, and rising urban welfare expenditures, smart cities have emerged as an important approach for society’s future development. Smart cities have achieved enhanced QoL by giving smart information to people regarding healthcare, transportation, smart parking, smart traffic structure, smart home, smart agronomy, community security etc. Typically, in smart cities data is sensed by the sensor devices and provided to end users for further use. The sensitive data is transferred with the help of internet creating higher chances for the adversaries to breach the data. Considering the privacy and security as the area of prime focus, this book covers the most prominent security vulnerabilities associated with varied application areas like healthcare, manufacturing, transportation, education and agriculture etc. Furthermore, the massive amount of data being generated through ubiquitous sensors placed across the smart cities needs to be handled in an effective, efficient, secured and privacy preserved manner. Since a typical smart city ecosystem is data driven, it is imperative to manage this data in an optimal manner. Enabling technologies like Internet of Things (IoT), Natural Language Processing (NLP), Blockchain Technology, Deep Learning, Machine Learning, Computer vision, Big Data Analytics, Next Generation Networks and Software Defined Networks (SDN) provide exemplary benefits if they are integrated in the classical city ecosystem in an effective manner. The application of Artificial Intelligence (AI) is expanding across many domains in the smart city, such as infrastructure, transportation, environmental protection, power and energy, privacy and security, governance, data management, healthcare, and more. AI has the potential to improve human health, prosperity, and happiness by reducing our reliance on manual labor and accelerating our progress in the sciences and technologies. NLP is an extensive domain of AI and is used in collaboration with machine learning and deep learning algorithms for clinical informatics and data processing. In modern smart cities, blockchain provides a complete framework that controls the city operations and ensures that they are managed as effectively as possible. Besides having an impact on our daily lives, it also facilitates many areas of city management.

Artificial Intelligence Applications for Smart Societies

Mohamed Elhoseny,K. Shankar,Mohamed Abdel-Basset

Author : Mohamed Elhoseny,K. Shankar,Mohamed Abdel-Basset
Publisher : Springer Nature
Page : 249 pages
File Size : 52,9 Mb
Release : 2021-04-27
Category : Science
ISBN : 9783030630683

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Artificial Intelligence Applications for Smart Societies by Mohamed Elhoseny,K. Shankar,Mohamed Abdel-Basset Pdf

This volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIS tools, traffic cameras, smart cards, smart phones and road deceleration devices enables citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including pollution, traffic congestion, public safety and increased energy consumption. This book will of interest to academics, researchers and students studying AI, cloud computing, IoT and crowdsourcing in urban applications.

Artificial Intelligence and Society 5.0

Vikas Khullar,Vrajesh Sharma,Mohit Angurala,Nipun Chhabra

Author : Vikas Khullar,Vrajesh Sharma,Mohit Angurala,Nipun Chhabra
Publisher : CRC Press
Page : 294 pages
File Size : 43,9 Mb
Release : 2024-01-22
Category : Computers
ISBN : 9781003825593

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Artificial Intelligence and Society 5.0 by Vikas Khullar,Vrajesh Sharma,Mohit Angurala,Nipun Chhabra Pdf

The artificial intelligence-based framework, algorithms, and applications presented in this book take the perspective of Society 5.0 – a social order supported by innovation in data, information, and knowledge. It showcases current case studies of Society 5.0 in diverse areas such as healthcare, smart cities, and infrastructure. Key Features: Elaborates on the use of big data, cyber-physical systems, robotics, augmented-virtual reality, and cybersecurity as pillars for Society 5.0. Showcases the use of artificial intelligence, architecture, frameworks, and distributed and federated learning structures in Society 5.0. Discusses speech recognition, image classification, robotic process automation, natural language generation, and decision support automation. Elucidates the application of machine learning, deep learning, fuzzy-based systems, and natural language processing. Includes case studies on the application of Society 5.0 aspects in educational, medical, infrastructure, and smart cities. The book is intendended especially for graduate and postgraduate students, and academic researchers in the fields of computer science and engineering, electrical engineering, and information technology.

Deploying Machine Learning

Robbie Allen

Author : Robbie Allen
Publisher : Addison-Wesley Professional
Page : 99998 pages
File Size : 55,9 Mb
Release : 2019-05
Category : Computers
ISBN : 0135226201

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Deploying Machine Learning by Robbie Allen Pdf

Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.

The Smart Enough City

Ben Green

Author : Ben Green
Publisher : MIT Press
Page : 241 pages
File Size : 50,9 Mb
Release : 2019-04-07
Category : Political Science
ISBN : 9780262039673

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The Smart Enough City by Ben Green Pdf

Why technology is not an end in itself, and how cities can be “smart enough,” using technology to promote democracy and equity. Smart cities, where technology is used to solve every problem, are hailed as futuristic urban utopias. We are promised that apps, algorithms, and artificial intelligence will relieve congestion, restore democracy, prevent crime, and improve public services. In The Smart Enough City, Ben Green warns against seeing the city only through the lens of technology; taking an exclusively technical view of urban life will lead to cities that appear smart but under the surface are rife with injustice and inequality. He proposes instead that cities strive to be “smart enough”: to embrace technology as a powerful tool when used in conjunction with other forms of social change—but not to value technology as an end in itself. In a technology-centric smart city, self-driving cars have the run of downtown and force out pedestrians, civic engagement is limited to requesting services through an app, police use algorithms to justify and perpetuate racist practices, and governments and private companies surveil public space to control behavior. Green describes smart city efforts gone wrong but also smart enough alternatives, attainable with the help of technology but not reducible to technology: a livable city, a democratic city, a just city, a responsible city, and an innovative city. By recognizing the complexity of urban life rather than merely seeing the city as something to optimize, these Smart Enough Cities successfully incorporate technology into a holistic vision of justice and equity.

Smart Cities and Smart Communities

Srikanta Patnaik,Siddhartha Sen,Sudeshna Ghosh

Author : Srikanta Patnaik,Siddhartha Sen,Sudeshna Ghosh
Publisher : Springer Nature
Page : 471 pages
File Size : 55,7 Mb
Release : 2022-05-28
Category : Technology & Engineering
ISBN : 9789811911460

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Smart Cities and Smart Communities by Srikanta Patnaik,Siddhartha Sen,Sudeshna Ghosh Pdf

“Smart City” programs and strategies have become one of the most dominant urban agendas for local governments worldwide in the past two decades. The rapid urbanization rate and unprecedented growth of megacities in the 21st century triggered drastic changes in traditional ways of urban policy and planning, leading to an influx of digital technology applications for fast and efficient urban management. With the rising popularity in making our cities “smart”, several domains of urban management, urban infrastructure, and urban quality-of-life have seen increasing dependence on advanced information and communication technologies (ICTs) that optimize and control the day-to-day functioning of urban systems. Smart Cities, essentially, act as digital networks that obtain large-scale real-time data on urban systems, process them, and make decisions on how to manage them efficiently. The book presents 26 chapters, which are organized around five topics: (1) Conceptual framework for smart cities and communities; (2) Technical concepts and models for smart city and communities; (3) Civic engagement and citizen participation; (4) Case studies from the Global North; and (5) Case studies from the Global South.

Artificial Intelligence By Example

Denis Rothman

Author : Denis Rothman
Publisher : Packt Publishing Ltd
Page : 579 pages
File Size : 49,9 Mb
Release : 2020-02-28
Category : Computers
ISBN : 9781839212819

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Artificial Intelligence By Example by Denis Rothman Pdf

Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.

Security in Smart Cities: Models, Applications, and Challenges

Aboul Ella Hassanien,Mohamed Elhoseny,Syed Hassan Ahmed,Amit Kumar Singh

Author : Aboul Ella Hassanien,Mohamed Elhoseny,Syed Hassan Ahmed,Amit Kumar Singh
Publisher : Springer
Page : 364 pages
File Size : 44,8 Mb
Release : 2018-11-04
Category : Technology & Engineering
ISBN : 9783030015602

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Security in Smart Cities: Models, Applications, and Challenges by Aboul Ella Hassanien,Mohamed Elhoseny,Syed Hassan Ahmed,Amit Kumar Singh Pdf

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.

Artificial Intelligence and Machine Learning in Smart City Planning

Vedik Basetti,Chandan Kumar Shiva,Mohan Rao Ungarala,Shriram S. Rangarajan

Author : Vedik Basetti,Chandan Kumar Shiva,Mohan Rao Ungarala,Shriram S. Rangarajan
Publisher : Elsevier
Page : 362 pages
File Size : 55,5 Mb
Release : 2023-01-11
Category : Business & Economics
ISBN : 9780323995047

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Artificial Intelligence and Machine Learning in Smart City Planning by Vedik Basetti,Chandan Kumar Shiva,Mohan Rao Ungarala,Shriram S. Rangarajan Pdf

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

Artificial Intelligence And Machine Learning For Smart Community

Artificial Intelligence and Machine Learning for Smart Community by T V Ramana,G S Pradeep Ghantasala,R Sathiyaraj,Mudassir Khan Pdf

Explainable Artificial Intelligence for Smart Cities by Mohamed Lahby,Utku Kose,Akash Kumar Bhoi Pdf

Applications of Artificial Intelligence for Smart Technology by Swarnalatha, P.,Prabu, S. Pdf

International Conference on Artificial Intelligence for Smart Community by Rosdiazli Ibrahim,K. Porkumaran,Ramani Kannan,Nursyarizal Mohd Nor,S. Prabakar Pdf

Artificial Intelligence and Machine Learning for COVID-19 by Fadi Al-Turjman Pdf

Artificial Intelligence in Urban Planning and Design by Imdat As,Prithwish Basu,Pratap Talwar Pdf

Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities by Mohd Abdul Ahad,Gabriella Casalino,Bharat Bhushan Pdf

Artificial Intelligence Applications for Smart Societies by Mohamed Elhoseny,K. Shankar,Mohamed Abdel-Basset Pdf

Artificial Intelligence and Society 5.0 by Vikas Khullar,Vrajesh Sharma,Mohit Angurala,Nipun Chhabra Pdf

Deploying Machine Learning by Robbie Allen Pdf

The Smart Enough City by Ben Green Pdf

Smart Cities and Smart Communities by Srikanta Patnaik,Siddhartha Sen,Sudeshna Ghosh Pdf

Artificial Intelligence By Example by Denis Rothman Pdf

Security in Smart Cities: Models, Applications, and Challenges by Aboul Ella Hassanien,Mohamed Elhoseny,Syed Hassan Ahmed,Amit Kumar Singh Pdf

Artificial Intelligence and Machine Learning in Smart City Planning by Vedik Basetti,Chandan Kumar Shiva,Mohan Rao Ungarala,Shriram S. Rangarajan Pdf

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