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Proceedings of international conference on recent trends in machine learning, IoT, smart cities and applications : ICMISC 2020 / Vinit Kumar Gunjan, Jacek M. Zurada, editors.
Format
Book
Language
English
Εdition
1st ed. 2021.
Published/Created
Gateway East, Singapore : Springer, [2021]
2021
Description
1 online resource (XVII, 998 p. 434 illus., 303 illus. in color.)
Availability
Available Online
Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2021 English International
Details
Subject(s)
Machine learning
—
Congresses
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Editor
Gunjan, Vinit Kumar
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Zurada, Jacek M.
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Series
Advances in Intelligent Systems and Computing, 1245
[More in this series]
Advances in Intelligent Systems and Computing, 2194-5357 ; 1245
[More in this series]
Summary note
This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29–30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India. Discussing current trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area of artificial intelligence and cyber-physical systems, this book is a valuable resource for scientists, research scholars and PG students wanting formulate their research ideas and find the future directions in these areas. Further, it serves as a reference work anyone wishing to understand the latest technologies used by practicing engineers around the globe.
Source of description
Description based on print version record.
Contents
Automated Identification of Interictal activity from EEG Signal using Non-linear Features
A Survey on Phishing URL Detection using Artificial Intelligence
Prognosticating Liver Debility using Classification Approaches of Machine Learning
Robust UI Automation Using Deep Learning and Optical Character Recognition (OCR)
Load Scheduling with Combinations of Existing Tariff Structure for Residential Consumers in Maharashtra, India – Case Study
Mammogram Classification using Rotation Invariant Local Frequency Features
Internet Of Things (IOT) Architecture----A Review.
Show 4 more Contents items
ISBN
981-15-7234-8
Doi
10.1007/978-981-15-7234-0
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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