Genetic-Based Keyword Matching DBSCAN in IoT for Discovering Adjacent Clusters-Reference-Cited by-同舟云学术

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Genetic-Based Keyword Matching DBSCAN in IoT for Discovering Adjacent Clusters

Published:2023 Issue:2 Volume:135 Page:1275-1294
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Kim Byoungwook,Jang Hong-Jun

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Reference34 articles.

1. A novel IoT architecture based on 5 G-IoT and next generation technologies;Rahimi,2018

2. Big data and personalisation for non-intrusive smart home automation;Asaithambi;Big Data and Cognitive Computing,2021

3. A framework for smart transportation using big data;Shukla,2016

4. Internet of things and its applications in healthcare--A survey;Bhatia,2020

5. RConnected middleware: Location based services for IoT environments;Carvalho,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved K-means clustering-genetic backpropagation modeling for online state-of-charge estimation of lithium-ion batteries adaptive to low-temperature conditions;Journal of Energy Storage;2024-10

2. An Improved K-Means Clustering-Genetic Backpropagation Algorithm for State of Charge Estimation of Lithium-Ion Batteries Adaptive to Extreme Low Temperatures;2023

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