Recent Trends and Advances in Artificial Intelligence and Internet of ThingsКНИГИ » ПРОГРАММИНГ
Название: Recent Trends and Advances in Artificial Intelligence and Internet of Things Автор: V.E. Balas, Raghvendra Kumar Издательство: Springer Год: 2020 Страниц: 618 Язык: английский Формат: pdf (true) Размер: 28.2 MB
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.
The IoT and Artificial Intelligence (AI) will play a vital role in numerous ways in the future. There are multiple forces which are driving the growing need for both technologies and more and more industries; governments, engineers, scientists, and technologists have started to implement it in manifold circumstances. The potential opportunities and benefits of both AI and IoT can be practiced when they are combined, both at the device end as well as at the server. For example, AI combined with Machine Learning (ML) can study from the data to analyze and predict the future actions in advance, such as order replacements in marketing and failure of equipment in an industry just in time. Moreover, AI can be used with Machine Learning in smart homes to make a truly grand smart home experience. Similarly, AI methods with IoT can be used to analyze the human behavior via Bluetooth signals, motion sensors, or facial recognition technology and to make the corresponding changes in lighting and room temperatures. This book aims to gather recent research works in emerging artificial intelligence and IoT methods.
This book will be competitive enough for the books in Machine Learning, AI, IoT, application of Machine Learning, etc., as it will include new emerging work in this domain which will be beneficial to the professors, researchers, scientists, and students who are working in this domain. Moreover, the book will provide insight on the future development of AI and IoT fields that can be used as the decision support for management. The books will be covering edited chapters belong to the IoT and Big Data technologies.
Скачать Recent Trends and Advances in Artificial Intelligence and Internet of Things
Big Data-Enabled Internet of Things Название: Big Data-Enabled Internet of Things (Computing and Networks) Автор: Muhammad Usman Shahid Khan (Editor), Samee U. Khan (Editor), Albert Y....
Навигация
Вход на сайт
Реклама
Recent Trends and Advances in Artificial Intelligence and Internet of Things 
Название: Recent Trends and Advances in Artificial Intelligence and Internet of Things 
