UID:
almahu_9949357541102882
Format:
XIV, 426 p. 212 illus., 172 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783031150630
Series Statement:
Lecture Notes on Data Engineering and Communications Technologies, 148
Content:
This book constitutes the refereed proceedings of the First Conference on Intelligence of Things (ICIoT 2022), held in Hanoi, Vietnam, in August 2022. A total of 40 full papers in this book have been rigorously peer-reviewed and selected from over 100 submissions. The papers focused on the intelligence of things (AIoT) studies are organized in the following parts: theoretical intelligence analyses, intelligence services and applications, and intelligence service experiments. This book provides interested students and engineers with comprehensive and cutting-edge studies in the fields. .
Note:
Structural Health Monitoring and IoT: Opportunities and Challenges -- Semantic Interoperability Issues and Challenges in IoT: A Brief Review -- An Intelligent Method Based on Dissimilarity Measure Picture Fuzzy and Apply to Supplier Selection -- A New Intelligent Computing Method for Scheduling and Crashing Projects with Fuzzy Activity Completion Times -- A Study of Filter-Based Feature Selection in Software Fault Prediction -- Applying Lecturer Expectation and Learning Retention to an Adaptive Learning System -- An Intelligent Approach for Multi-Criterial Decision Making using Similarity of Intuitionistic Fuzzy Sets -- Edge Computing For Wireless Sensor Network -- Mathematical Expression Detection in Camera Captured Document Images -- A-DEM: The Adaptive Approximate Approach for the Real Scheduling Problem -- A Framework to Verify the ABAC Policies in Web Applications -- Aspect-based Sentiment Analysis with Deep Learning: A Multidomain and Multitask Approach -- Combined Local and Global Features for Action Recognition from Motion Sensors -- Combining Artificial Intelligence with the Internet of Things in Microalgae Cultivation -- Computer-Aided Provisional Diagnosis System Using Machine Learning.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031150623
Additional Edition:
Printed edition: ISBN 9783031150647
Language:
English
DOI:
10.1007/978-3-031-15063-0
URL:
https://doi.org/10.1007/978-3-031-15063-0
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