TinyML-based Event Detection: An Edge-Cloud Approach for Smart Agriculture over LoRa WSNs-Reference-Cited by-同舟云学术

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TinyML-based Event Detection: An Edge-Cloud Approach for Smart Agriculture over LoRa WSNs

Published:2023-11-10 Issue: Volume: Page:1-10
ISSN:
Container-title:2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)
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Author:

Karras Aristeidis¹,Karras Christos¹,Giannaros Anastasios¹,Giotopoulos Konstantinos C.²,Tsolis Dimitrios³,Oikonomou Konstantinos⁴,Sioutas Spyros¹

Affiliation:

1. University of Patras,Computer Engineering and Informatics Department,Patras,Greece

2. University of Patras,Department of Management Science and Technology,Patras,Greece

3. University of Patras,Department of History and Archaeology,Patras,Greece

4. Ionian University,Department of Informatics,Corfu,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470456/10470467/10470881.pdf?arnumber=10470881

Reference37 articles.

1. A comparative study of LPWAN technologies for large-scale IoT deployment

2. SAF: A Peer to Peer IoT LoRa System for Smart Supply Chain in Agriculture

3. TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review

4. IoT and Its Real-Time Application in Agriculture

5. Improve Irrigation Timing Decision for Agriculture using Real Time Data and Machine Learning

Cited by 1 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. An Environment-Aware Adaptive Data-Gathering Method for Packet-Level Index Modulation in LPWA;Sensors;2024-04-14

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