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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks

Participants in the publication
Daniel Fernandes (Author)
João P. Matos-Carvalho (Author)
Dep. Informática
 LASIGE
 Carlos M. Fernandes (Author)
Nuno Fachada (Author)

Date of Publication
2025-04-01

Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Where published
Electronics

Publication Identifiers
ISSN - 2079-9292

Publisher
MDPI AG

Volume
14
Number
7

Starting page
1428

Document Identifiers
DOI - https://doi.org/10.3390/electronics14071428
URL - https://doi.org/10.3390/electronics14071428

Keywords
LoRaWAN large language models UAV placement code generation IoT


Export

APA
Daniel Fernandes, João P. Matos-Carvalho, Carlos M. Fernandes, Nuno Fachada, (2025). DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks. Electronics, 14, ISSN 2079-9292. eISSN . https://doi.org/10.3390/electronics14071428

IEEE
Daniel Fernandes, João P. Matos-Carvalho, Carlos M. Fernandes, Nuno Fachada, "DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks" in Electronics, vol. 14, 2025. 10.3390/electronics14071428

BIBTEX
@article{65313, author = {Daniel Fernandes and João P. Matos-Carvalho and Carlos M. Fernandes and Nuno Fachada}, title = {DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks}, journal = {Electronics}, year = 2025, volume = 14 }