Emerging Trends In Ai Ml Ds And Iot

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Emerging Trends in AI, ML, DS and IoT

Author : Dr. S. Bharathiraja
Publisher : Academic Guru Publishing House
ISBN 13 : 8197304807
Total Pages : 226 pages
Book Rating : 4.1/5 (973 download)

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Book Synopsis Emerging Trends in AI, ML, DS and IoT by : Dr. S. Bharathiraja

Download or read book Emerging Trends in AI, ML, DS and IoT written by Dr. S. Bharathiraja and published by Academic Guru Publishing House. This book was released on 2024-05-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Emerging Trends in AI, ML, DS, and IoT" is an all-encompassing examination of the most recent developments and revolutionary possibilities in Artificial Intelligence (AI), Data Science (DS), Machine Learning (ML), as well as the Internet of Things (IoT). This book functions as a comprehensive resource, encompassing the profound ramifications of technology's swift evolution across diverse industries, and was authored by a group of business professionals and thought leaders. The book commences with an in-depth explanation of the fundamental principles, methodologies, and practical implementations of each of these disciplines, thereby establishing a solid foundation for learning. The fundamental principles of artificial intelligence (AI) are expounded upon, encompassing neural networks, natural language processing, machine learning algorithms, and the significance of data in instigating insights and facilitating decision-making. The story progresses, as the emphasis moves to new innovations and trends that are changing the face of AI, ML, DS, and the Internet of Things. The book extensively explores the most recent developments that are driving the progress of these fields, including peripheral computing, predictive analytics, deep learning, as well as reinforcement learning. Organisations in many kinds of sectors are using these technologies to boost creativity, enhance operations, and generate value, as shown in case studies and real-world examples. Additionally, by examining the intersections between these domains and showcasing prospects for multidisciplinary cooperation, "Emerging Trends in AI, ML, DS, and IoT" analyses their intersections. Intelligent systems capable of sensing, learning, and adapting in real-time are being made possible by the merging of AI, ML, DS, and IoT. This is causing a paradigm shift in sectors including financial services, healthcare, transportation, as well as manufacturing. The book also discusses privacy concerns, ethical issues, and the societal ramifications of AI, ML, DS, and IoT, in along with technological advancements. The text promotes the ethical and responsible implementation of these technologies, appealing for accountability, transparency, and impartiality in algorithmic decision-making. "Emerging Trends in AI, ML, DS, and IoT" is an essential reference for experts, researchers, and students who are interested in tackling the dynamic technological environment and utilising its transformative capabilities to improve society. It offers perceptive analysis, forward-thinking viewpoints, and practical insights to support these objectives.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Author : Valentina E. Balas
Publisher : Springer Nature
ISBN 13 : 3030326446
Total Pages : 618 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Recent Trends and Advances in Artificial Intelligence and Internet of Things by : Valentina E. Balas

Download or read book Recent Trends and Advances in Artificial Intelligence and Internet of Things written by Valentina E. Balas and published by Springer Nature. This book was released on 2019-11-19 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Emerging Trends in Data Science Machine Learning, IoT and Artificial Intelligence

Author : Shaweta Narula
Publisher : Leilani Katie Publication
ISBN 13 : 8197147957
Total Pages : 236 pages
Book Rating : 4.1/5 (971 download)

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Book Synopsis Emerging Trends in Data Science Machine Learning, IoT and Artificial Intelligence by : Shaweta Narula

Download or read book Emerging Trends in Data Science Machine Learning, IoT and Artificial Intelligence written by Shaweta Narula and published by Leilani Katie Publication. This book was released on 2024-03-11 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shaweta Narula, Assistant Professor, Department of Electronics and Communication, Nutan College of Engineering and Research, Talegaon Dabhade, Pune Maharashtra,India. Vivek Narula, Quality Manager, Multinational Company, Automotive Industry, Pune, Maharashtra, India.

Artificial Intelligence and Machine Learning

Author : Rohit Tanwar
Publisher : CRC Press
ISBN 13 : 1003850480
Total Pages : 155 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence and Machine Learning by : Rohit Tanwar

Download or read book Artificial Intelligence and Machine Learning written by Rohit Tanwar and published by CRC Press. This book was released on 2023-12-07 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a broad package involving the Incubation of Machine Learning and AI with various emerging technologies such as IoT, Healthcare, Smart Cities, Robotics, etc. Discusses various data collection and data transformation techniques. Maps the legal and ethical issues of data-driven e-healthcare systems and possible ways to resolve them. Explores different techniques on how AI can be used to create better virtual reality experiences. Deals with the techniques and possible ways to merge the power of AI and IoT to create smart home appliances

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems

Author : Pardeep Kumar
Publisher : Springer Nature
ISBN 13 : 3030766535
Total Pages : 462 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems by : Pardeep Kumar

Download or read book A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems written by Pardeep Kumar and published by Springer Nature. This book was released on 2021-08-23 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.

Research Trends in Artificial Intelligence: Internet of Things

Author : Sonali Mahendra Kothari, Vijayshri Nitin Khedkar, Ujwala Kshirsagar, Gitanjali Rahul Shinde
Publisher : Bentham Science Publishers
ISBN 13 : 9815136453
Total Pages : 243 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis Research Trends in Artificial Intelligence: Internet of Things by : Sonali Mahendra Kothari, Vijayshri Nitin Khedkar, Ujwala Kshirsagar, Gitanjali Rahul Shinde

Download or read book Research Trends in Artificial Intelligence: Internet of Things written by Sonali Mahendra Kothari, Vijayshri Nitin Khedkar, Ujwala Kshirsagar, Gitanjali Rahul Shinde and published by Bentham Science Publishers. This book was released on 2023-12-21 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stay informed about recent trends and groundbreaking research driving innovation in the AI-IoT landscape. AI, a simulated form of natural intelligence within machines, has revolutionized various industries, simplifying daily tasks for end-users. This book serves as a handy reference, offering insights into the latest research and applications where AI and IoT intersect. The book includes 12 edited chapters that provide a comprehensive exploration of the synergies between AI and IoT. The contributors attempt to address engineering opportunities and challenges in different fields. Key Topics: AI and IoT in Smart Farming: Explore how these technologies enhance crop yield and sustainability, revolutionizing agricultural practices. AIoT (Artificial Intelligence of Things): Understand the amalgamation of AI and IoT and its applications, particularly focusing on smart cities and agriculture. Smart Healthcare and Predictive Disease Analysis: Uncover the crucial role of AI and IoT in early disease prediction and improving healthcare outcomes. Applications of AI in Various Sectors: Explore how AI contributes to sustainable development, sentiment analysis, education, autonomous vehicles, fashion, virtual trial rooms, and more. Each chapter has structured sections with summaries and reference lists, making it an invaluable resource for researchers, professionals, and enthusiasts keen on understanding the potential and impact of these technologies in today's rapidly evolving world.

Machine Learning and IoT for Intelligent Systems and Smart Applications

Author : Madhumathy P
Publisher : CRC Press
ISBN 13 : 1000484963
Total Pages : 243 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning and IoT for Intelligent Systems and Smart Applications by : Madhumathy P

Download or read book Machine Learning and IoT for Intelligent Systems and Smart Applications written by Madhumathy P and published by CRC Press. This book was released on 2021-11-17 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.

The Ultimate Modern Guide to Artificial Intelligence

Author : Enamul Haque
Publisher : Enamul Haque
ISBN 13 :
Total Pages : 293 pages
Book Rating : 4.6/5 (919 download)

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Book Synopsis The Ultimate Modern Guide to Artificial Intelligence by : Enamul Haque

Download or read book The Ultimate Modern Guide to Artificial Intelligence written by Enamul Haque and published by Enamul Haque. This book was released on 2020-07-21 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The era of artificial intelligence has arrived. You, who only felt far from artificial intelligence, and the growing dream trees, are now inseparable from artificial intelligence. What does AI have to do with me? Isn't it a distant future that has nothing to do with me, not a scientist, a technician, or a computer programmer? Well, Artificial intelligence is not a story of someone who has nothing to do with it, but the fact is, it is now everyone's story. AI is already deeply infiltrating everyone's life. The question is no longer whether we use technology or not; it's about working together in a better way. Surrounding technologies like Siri, Alexa, or Cortana are seamlessly integrated into our interactions. We walk into the room, turn on the lights, play songs, change the room temperature, keep track of shopping lists, book a ride at the airport, or remind ourselves to take the proper medication on time. It is now necessary to look at artificial intelligence from a broader and larger perspective. You should not just hang on to complex deep learning algorithms and think only through science and technology but through the eyes of emotions and humanities. These days, elementary school students learn English and coding at school. Tomorrow's elementary school students will learn AI. Of course, not everyone needs to be an AI expert. But if you don't understand AI, you will be left out of the trend of changing times. AI comes before English and coding. This is because artificial intelligence is the language and tool of the future. This book opens your door to the most critical understanding needed of AI and other relevant disruptive technologies. Artificial intelligence will significantly change societal structures and the operations of companies. The next generation of employees needs to be trained as a workforce before entering the job market, and the existing workforce is regularly recharged and skilled. There is plenty on this for reskilling too. This is the most definitive compendium of AI, The Internet of Things, Machine Learning, Deep Learning, Data Science, Big Data, Cloud Computing, Neural networks, Robotics, the future of work and the future of intelligent industries.

Convergence of Artificial Intelligence and the Internet of Things

Author : George Mastorakis
Publisher : Springer Nature
ISBN 13 : 3030449076
Total Pages : 446 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Convergence of Artificial Intelligence and the Internet of Things by : George Mastorakis

Download or read book Convergence of Artificial Intelligence and the Internet of Things written by George Mastorakis and published by Springer Nature. This book was released on 2020-05-06 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Author : Velayutham, Sathiyamoorthi
Publisher : IGI Global
ISBN 13 : 1799831132
Total Pages : 350 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by : Velayutham, Sathiyamoorthi

Download or read book Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing written by Velayutham, Sathiyamoorthi and published by IGI Global. This book was released on 2021-01-29 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

AI & ML - Powering the Agents of Automation

Author : Deepika M
Publisher : BPB Publications
ISBN 13 : 9388511638
Total Pages : 234 pages
Book Rating : 4.3/5 (885 download)

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Book Synopsis AI & ML - Powering the Agents of Automation by : Deepika M

Download or read book AI & ML - Powering the Agents of Automation written by Deepika M and published by BPB Publications. This book was released on 2019-09-17 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Why, What, Where, When Who and How behind the technologies of the AI & ML powering the Agents of Automation in a simple manner. DESCRIPTION We are faced with automatic machines and autonomous agents gradually replacing a lot of activities, hitherto have been carried out by humans.Ê From airports to call centers, shop floors in the factory to accounting and finance departments in large businesses, we are finding increasing applications of AI & ML led automation. Most of the time, the autonomous machines we interact with or work with, like the Robots, Drones and Self driving cars evoke awe, inspiration & perplexity at the same time. They seem to be the tools only used by the most technology empowered organizations and technology geeks. The effort of this book is to go under the veil of all these automation agents, explain their benefits and expose the way they work by leveraging hardware and software powered by AI & ML as well. We expect the book to demystify these technologies to the learners in a reader friendly manner without using too much of jargon, egging them to take the next step to develop a passion to follow and leverage these trends for their productivity and enhance their quality of life. KEY FEATURES _Ê Ê Ê Explore various trends of Automation impacting our lives today. _Ê Ê Ê Explains the reasons behind the proliferations of the various bots and autonomous agents. _Ê Ê Ê Explores the various areas being impacted by the use of these new workforce made of machines. _Ê Ê Ê Examines the components that make up Robots, Chatbots, Autonomous cars and Drones. _Ê Ê Ê Throws a light on the various limitations and threats encountered by the Agents of Automation _Ê Ê Ê Explores how, Blockchain can be used to protect IOT, Robots, Drones and Autonomous cars. _Ê Ê Ê Throws a light on the various tools used to build Robots, Chatbots and RPA. _Ê Ê Ê Outlines the steps undertaken to manage while building projects to deploy the Agents of Automation. WHAT WILL YOU LEARN From this book, you will get a very good idea about the various agents of automation like IOT, Robots, Chatbots, and Robotic Process Automation, Drones and Autonomous cars. Why do we use these machines? Where do we use them? Where do we find their applications? What are the components that go into making of these machines? High level knowledge on how we can build them and what are the advantages, disadvantages, risks and appropriate way to limit these risks. Ê WHO THIS BOOK IS FOR This book is for all the students and those passionate to get a fundamental knowledge on various aspects of Disruptive technologies prevalent today like IOT, AI, ML, Blockchain and Automation.Ê Engineering students, CXOs in organizations, Government officials, Digital natives and the young generation of technology enthusiasts will find this book extremely interesting and informative. Table of Contents Introduction to Automated Personal Assistants: Past, Present & The Future Disruptive models led by digitization Machine Learning and Artificial Intelligence, The languages of Automation Internet Of Things , Industry 4.0 And Factories Of Tomorrow Robots Robotic Process Automation Drones Chatbots & Voice Assistants Autonomous Cars Artificial Intelligence & Automation Gone Wrong Blockchain-The New Generation Tool For Cybersecurity Blockchain As A Protector Of The Agents Of Automation Summary and Conclusion CHAPTER WISE QUESTIONS GLOSSARY: AGENTS OF AUTOMATION

Edge Intelligence in the Making

Author : Sen Lin
Publisher : Springer Nature
ISBN 13 : 3031023803
Total Pages : 17 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Edge Intelligence in the Making by : Sen Lin

Download or read book Edge Intelligence in the Making written by Sen Lin and published by Springer Nature. This book was released on 2022-06-01 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. Indeed, the marriage of edge computing and AI has resulted in innovative solutions, namely edge intelligence or edge AI. Nevertheless, research and practice on this emerging inter-disciplinary field is still in its infancy stage. To facilitate the dissemination of the recent advances in edge intelligence in both academia and industry, this book conducts a comprehensive and detailed survey of the recent research efforts and also showcases the authors' own research progress on edge intelligence. Specifically, the book first reviews the background and present motivation for AI running at the network edge. Next, it provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors' own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. Finally, it discusses the applications, marketplace, and future research opportunities of edge intelligence. This emerging interdisciplinary field offers many open problems and yet also tremendous opportunities, and this book only touches the tip of iceberg. Hopefully, this book will elicit escalating attention, stimulate fruitful discussions, and open new directions on edge intelligence.

Artificial Intelligence-based Internet of Things Systems

Author : Souvik Pal
Publisher : Springer Nature
ISBN 13 : 3030870596
Total Pages : 509 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence-based Internet of Things Systems by : Souvik Pal

Download or read book Artificial Intelligence-based Internet of Things Systems written by Souvik Pal and published by Springer Nature. This book was released on 2022-01-11 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.

Artificial Intelligence and Internet of Things

Author : Lalit Mohan Goyal
Publisher :
ISBN 13 : 9780367562946
Total Pages : 440 pages
Book Rating : 4.5/5 (629 download)

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Book Synopsis Artificial Intelligence and Internet of Things by : Lalit Mohan Goyal

Download or read book Artificial Intelligence and Internet of Things written by Lalit Mohan Goyal and published by . This book was released on 2021 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book reveals the applications of AI and IoT in smart healthcare and medical systems. It also provides core principles, algorithms, protocols, emerging trends, security problems and their findings in e-healthcare services. The book covers applications, provides case studies, and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role to assist patients, doctors and pharmaceutical staff. It also focuses on how AI and IoT could be used to keep patients safe, healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researches and practitioners working in sectors of information technology, computer science, products, and services of medical equipment manufacturing industry having basic and high-level AI and IoT applications. The book will also be a useful guide for researchers and students"--

Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

Author : Raut, Roshani
Publisher : IGI Global
ISBN 13 : 1799875172
Total Pages : 304 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Examining the Impact of Deep Learning and IoT on Multi-Industry Applications by : Raut, Roshani

Download or read book Examining the Impact of Deep Learning and IoT on Multi-Industry Applications written by Raut, Roshani and published by IGI Global. This book was released on 2021-01-29 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

Intelligence of Things: AI-IoT Based Critical-Applications and Innovations

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 303082800X
Total Pages : 244 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligence of Things: AI-IoT Based Critical-Applications and Innovations by : Fadi Al-Turjman

Download or read book Intelligence of Things: AI-IoT Based Critical-Applications and Innovations written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2021-10-28 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent technologies that explore artificial intelligence (AI) and its scope in Internet of Things (IoT) enabled areas for productivity and the betterment of society. The book aims at targeting audiences of several disciplines to share research, suggest solutions, and future trends in the field of AI using IoT. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both aspects to give a holistic understanding of the AI paradigm for IoT. The book focuses on timely topics related to the field of AI enabled IoT applications at large. The book consists of four major parts: fundamentals, theoretical discussion, critical applications, and the learning algorithms. These contents shall include the basics, types, tools, and techniques of AI. Finally, applications of AI enabled IoT in several areas are presented including health, security, climate change, agricultural engineering, bioinformatics, biomedicine, smart applications, natural language processing, social and economic implications of AI enabled IoT, as well as robotics, sustainability, risk management, seismic data processing, smart grid management, text analysis, security, privacy, and ethics.

Intelligent Connectivity

Author : Abdulrahman Yarali
Publisher : John Wiley & Sons
ISBN 13 : 1119685184
Total Pages : 356 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Intelligent Connectivity by : Abdulrahman Yarali

Download or read book Intelligent Connectivity written by Abdulrahman Yarali and published by John Wiley & Sons. This book was released on 2021-11-01 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT CONNECTIVITY AI, IOT, AND 5G Explore the economics and technology of AI, IOT, and 5G integration Intelligent Connectivity: AI, IoT, and 5G delivers a comprehensive technological and economic analysis of intelligent connectivity and the integration of artificial intelligence, Internet of Things (IoT), and 5G. It covers a broad range of topics, including Machine-to-Machine (M2M) architectures, edge computing, cybersecurity, privacy, risk management, IoT architectures, and more. The book offers readers robust statistical data in the form of tables, schematic diagrams, and figures that provide a clear understanding of the topic, along with real-world examples of applications and services of intelligent connectivity in different sectors of the economy. Intelligent Connectivity describes key aspects of the digital transformation coming with the 4th industrial revolution that will touch on industries as disparate as transportation, education, healthcare, logistics, entertainment, security, and manufacturing. Readers will also get access to: A thorough introduction to technology adoption and emerging trends in technology, including business trends and disruptive new applications Comprehensive explorations of telecommunications transformation and intelligent connectivity, including learning algorithms, machine learning, and deep learning Practical discussions of the Internet of Things, including its potential for disruption and future trends for technological development In-depth examinations of 5G wireless technology, including discussions of the first five generations of wireless tech Ideal for telecom and information technology managers, directors, and engineers, Intelligent Connectivity: AI, IoT, and 5G is also an indispensable resource for senior undergraduate and graduate students in telecom and computer science programs.