Recent Advances In Internet Of Things And Machine Learning
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Recent Advances in Internet of Things and Machine Learning
Author | : Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar |
Publsiher | : Springer Nature |
Total Pages | : 340 |
Release | : 2022-02-14 |
Genre | : Technology & Engineering |
ISBN | : 9783030901196 |
Download Recent Advances in Internet of Things and Machine Learning Book in PDF, Epub and Kindle
This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
Recent Trends and Advances in Artificial Intelligence and Internet of Things
Author | : Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava |
Publsiher | : Springer Nature |
Total Pages | : 618 |
Release | : 2019-11-19 |
Genre | : Technology & Engineering |
ISBN | : 9783030326449 |
Download Recent Trends and Advances in Artificial Intelligence and Internet of Things Book in PDF, Epub and Kindle
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.
Internet of Things and Big Data Applications
Author | : Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar |
Publsiher | : Springer Nature |
Total Pages | : 270 |
Release | : 2020-02-24 |
Genre | : Computers |
ISBN | : 9783030391195 |
Download Internet of Things and Big Data Applications Book in PDF, Epub and Kindle
This book provides essential future directions for IoT and Big Data research. Thanks to rapid advances in sensors and wireless technology, Internet of Things (IoT)-related applications are attracting more and more attention. As more devices are connected, they become potential components for smart applications. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail. The main objective of this book is to reflect the multifaceted nature of IoT and Big Data in a single source. Accordingly, each chapter addresses a specific domain that is now being significantly impacted by the spread of soft computing
Recent Trends and Advances in Artificial Intelligence and Internet of Things
Author | : Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava |
Publsiher | : Springer |
Total Pages | : 607 |
Release | : 2019-11-28 |
Genre | : Technology & Engineering |
ISBN | : 3030326438 |
Download Recent Trends and Advances in Artificial Intelligence and Internet of Things Book in PDF, Epub and Kindle
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.
Machine Learning for Smart Environments Cities
Author | : Gonçalo Marques,Alfonso González-Briones,José Manuel Molina López |
Publsiher | : Springer Nature |
Total Pages | : 254 |
Release | : 2022-04-05 |
Genre | : Computers |
ISBN | : 9783030975166 |
Download Machine Learning for Smart Environments Cities Book in PDF, Epub and Kindle
This book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.
Machine Learning and Internet of Things for Societal Issues
Author | : Ch. Satyanarayana,Xiao-Zhi Gao,Choo-Yee Ting,Naresh Babu Muppalaneni |
Publsiher | : Springer Nature |
Total Pages | : 169 |
Release | : 2022-02-25 |
Genre | : Computers |
ISBN | : 9789811650901 |
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This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.
Advances in IoT and Security with Computational Intelligence
Author | : Anurag Mishra,Deepak Gupta,Girija Chetty |
Publsiher | : Springer Nature |
Total Pages | : 418 |
Release | : 2023-09-21 |
Genre | : Technology & Engineering |
ISBN | : 9789819950881 |
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The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.
Examining the Impact of Deep Learning and IoT on Multi Industry Applications
Author | : Raut, Roshani,Mihovska, Albena Dimitrova |
Publsiher | : IGI Global |
Total Pages | : 304 |
Release | : 2021-01-29 |
Genre | : Computers |
ISBN | : 9781799875178 |
Download Examining the Impact of Deep Learning and IoT on Multi Industry Applications Book in PDF, Epub and Kindle
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.