Harnessing Learn Rate Schedule for Adaptive Deep Learning in LoRaWAN-IoT Localization-Reference-Cited by-同舟云学术

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Harnessing Learn Rate Schedule for Adaptive Deep Learning in LoRaWAN-IoT Localization

Published:2024 Issue: Volume:12 Page:72034-72050
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Swathika R.¹^ORCID,Dilip Kumar S. M.¹,Srinidhi N. N.²^ORCID,Harshitha B. R.¹

Affiliation:

1. Department of Computer Science and Engineering, University of Visvesvaraya College of Engineering (UVCE), Bengaluru, Karnataka, India

2. Department of Computer Science and Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Bengaluru, Karnataka, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10535165.pdf?arnumber=10535165

Reference32 articles.

1. Multi-objective Stochastic Gradient Based ADR Mechanism for Throughput and Latency Optimization in LoRaWAN

2. Optimizing Throughput Using Effective Contention Aware Adaptive Data Rate in LoRaWAN

3. Analysis of BER Performance over AWGN and Rayleigh Channels using FSK and PSK Modulation Schemes in LoRa Based IoT Networks

4. Comparing ML algorithms for RSS-based localization in LPWAN;Janssen

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