Design of intelligent community security system based on visual tracking and large data natural language processing technology-Reference-Cited by-同舟云学术

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Design of intelligent community security system based on visual tracking and large data natural language processing technology

Published:2020-06-25 Issue:6 Volume:38 Page:7107-7117
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Daming Li¹,Lianbing Deng²³,Zhiming Cai,Kaicheng Cai⁴

Affiliation:

1. City University of Macau, China

2. Huazhong University of Science and Technology, China

3. Zhuhai Da Hengqin Science and Technology Development Co., Ltd., China

4. Automotive Engineering Research Institute of Guangzhou Automobile Group Co., Ltd., China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference30 articles.

1. Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs;Doshi-Velez;Artificial Intelligence,2012

2. Collaboratively built semi-structured content and Artificial Intelligence: The story so far;Hovy;Artificial Intelligence,2013

3. A general account of argumentation with preferences;Modgil;Artificial Intelligence,2013

4. MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives;Mellit;Energy,2014

5. Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments;Pereira;Artificial intelligence,2013

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2. A textual and visual features-jointly driven hybrid intelligent system for digital physical education teaching quality evaluation;Mathematical Biosciences and Engineering;2023

3. Deconstruction of physical fitness assessment system and medical rehabilitation countermeasures for physically disabled teenagers with natural language processing technology;Frontiers in Public Health;2022-08-04

4. College English Teaching Evaluation Model Using Natural Language Processing Technology and Neural Networks;Mobile Information Systems;2022-05-23

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