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Data-Driven Indoor Mobility Analyses, Modeling, and Encounter Classification for IoT Applications
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Data-Driven Indoor Mobility Analyses, Modeling, and Encounter Classification for IoT Applications
자료유형  
 학위논문
Control Number  
0015759186
International Standard Book Number  
9798698567158
Dewey Decimal Classification Number  
621.3
Main Entry-Personal Name  
Al Qathrady, Mimonah.
Publication, Distribution, etc. (Imprint  
[Sl] : University of Florida, 2020
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2020
Physical Description  
161 p
General Note  
Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
General Note  
Advisor: Helmy, Ahmed A.
Dissertation Note  
Thesis (Ph.D.)--University of Florida, 2020.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Computer engineering
Subject Added Entry-Topical Term  
Remote sensing
Subject Added Entry-Topical Term  
Epidemiology
Subject Added Entry-Topical Term  
Artificial intelligence
Subject Added Entry-Topical Term  
Information technology
Subject Added Entry-Topical Term  
Health care management
Index Term-Uncontrolled  
Analyses
Index Term-Uncontrolled  
Indoor mobility
Index Term-Uncontrolled  
IoT applications
Index Term-Uncontrolled  
Mobility
Index Term-Uncontrolled  
Prediction
Index Term-Uncontrolled  
Proximity
Index Term-Uncontrolled  
Internet of Things
Index Term-Uncontrolled  
Smart hospitals
Index Term-Uncontrolled  
Wireless data
Index Term-Uncontrolled  
Distance estimation
Index Term-Uncontrolled  
Bluetooth Low Energy
Index Term-Uncontrolled  
Machine learning
Added Entry-Corporate Name  
University of Florida Communication Sciences
Host Item Entry  
Dissertations Abstracts International. 82-06B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:592913
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TQ0014418 T   원문자료 열람가능/출력가능 열람가능/출력가능
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