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Artificial Intelligence and IoT = Smart Convergence for Eco-friendly Topography /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial Intelligence and IoT/ edited by Kalaiselvi Geetha Manoharan, Jawaharlal Arun Nehru, Sivaraman Balasubramanian.
其他題名:	Smart Convergence for Eco-friendly Topography /
其他作者:	Balasubramanian, Sivaraman.
面頁冊數:	XVI, 267 p. 115 illus., 96 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Big Data/Analytics. -
電子資源:	https://doi.org/10.1007/978-981-33-6400-4
ISBN:	9789813364004

Artificial Intelligence and IoT = Smart Convergence for Eco-friendly Topography /
Artificial Intelligence and IoTSmart Convergence for Eco-friendly Topography /[electronic resource] :edited by Kalaiselvi Geetha Manoharan, Jawaharlal Arun Nehru, Sivaraman Balasubramanian. - 1st ed. 2021. - XVI, 267 p. 115 illus., 96 illus. in color.online resource. - Studies in Big Data,852197-6511 ;. - Studies in Big Data,8.

Smart IoT multimodal emotion recognition system using deep learning networks -- Artificial Intelligence and IoT framework for the health monitoring system -- Big Data Classification: Application and Challenges -- A survey on recent deep learning architectures -- Research Progress of MapReduce Big Data Processing Platform and Algorithm -- A CNN Based Traffic Sign Recognition System -- Deep learning algorithm and its applications to IoT and Computer Vision -- Exploiting Internet of Things (IOT) Services to Autism Children Emotion Recognition System.

This book projects a futuristic scenario that is more existent than they have been at any time earlier. To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected, discovered and analyzed. To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe. While these are a few examples of issues, the authors’ intention in editing this book is to offer concepts of integrating AI with IoT in a precise and clear manner to the research community. In editing this book, the authors’ attempt is to provide novel advances and applications to address the challenge of continually discovering patterns for IoT by covering various aspects of implementing AI techniques to make IoT solutions smarter. The only way to remain pace with this data generated by the IoT and acquire the concealed acquaintance it encloses is to employ AI as the eventual catalyst for IoT. IoT together with AI is more than an inclination or existence; it will develop into a paradigm. It helps those researchers who have an interest in this field to keep insight into different concepts and their importance for applications in real life. This has been done to make the edited book more flexible and to stimulate further interest in topics. All these motivated the authors toward integrating AI in achieving smarter IoT. The authors believe that their effort can make this collection interesting and highly attract the student pursuing pre-research, research and even master in multidisciplinary domain.

ISBN: 9789813364004

Standard No.: 10.1007/978-981-33-6400-4doiSubjects--Topical Terms:

1106909
Big Data/Analytics.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Artificial Intelligence and IoT = Smart Convergence for Eco-friendly Topography /
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