A Machine-Learning Based IoT Smart Home System to Detect and Reduce Urban Insecurity in Uganda: A Case of Kampala Metropolitan Area-Reference-Cited by-同舟云学术

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A Machine-Learning Based IoT Smart Home System to Detect and Reduce Urban Insecurity in Uganda: A Case of Kampala Metropolitan Area

Published:2024-08-01 Issue: Volume:7 Page:1-6
ISSN:
Container-title:2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)
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Author:

Miiro Edward¹,Kato Ismael²

Affiliation:

1. Makerere University Business School,Faculty of Computing & Informatics,Department of Computer Science & Engineering,Kampala,Uganda

2. Makerere University Business School,Faculty of Computing & Informatics,Dept. of Applied Computing & Information Technology,Kampala,Uganda

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10645221/10645222/10645228.pdf?arnumber=10645228

Reference21 articles.

1. Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions

2. Artificial Intelligence Helps Protect Smart Homes against Thieves

3. Burglary detection in the residential areas using YOLO and SSD one-stage detection algorithm: a comparative perspective;Pavithra;Journal of Theoretical and Applied Information Technology,2023

4. Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models

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