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Data-Driven Indoor Mobility Analyses, Modeling, and Encounter Classification for IoT Applications
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
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:592913