# Submissions for: Classify RF Signals Using AI
|#| Submission | Links |
|-|-|-------------------------------------------|
|1|[Deep Learning Classification of WLAN and Zigbee Signals](https://github.com/Soutehkeshan/WLAN-Zigbee-Classifier)
A MATLAB deep learning classifier identifies Zigbee and WLAN signals from spectrogram images, supporting synthetic generation and live classification using an ADALM-PLUTO SDR.
**Authors:** Arad Soutehkeshan
**Affiliation:** University of Greenwich
**Submission Date:** 2025-08-12|![]()
[](https://github.com/Soutehkeshan/WLAN-Zigbee-Classifier)
[](https://matlab.mathworks.com/open/github/v1?repo=Soutehkeshan/WLAN-Zigbee-Classifier)
[](https://www.youtube.com/watch?v=dvrITYEaVH8)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Wireless%20Communication.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Artificial%20Intelligence.md)|
|2|[Spectrogram Semantic Segmentation for ISM Band RF Signal Classification](https://github.com/nico-net/AICompetition.git )
A deep learning semantic segmentation network classifies overlapping WLAN, Bluetooth, ZigBee, and SmartBAN signals in the ISM band, using synthetic spectrograms for training and evaluation with real SDR captures.
**Authors:** Nicola Gallucci, Giacomo Aragnetti, Matteo Malagrin
**Affiliation:** Polytechnic of Milan
**Submission Date:** 2025-07-18|![]()
[](https://github.com/nico-net/AICompetition.git)
[](https://matlab.mathworks.com/open/github/v1?repo=nico-net/AICompetition)
[](https://youtu.be/Wmrsy2saCLQ)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Wireless%20Communication.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Artificial%20Intelligence.md)|
|3|[Real-time RF Signal Classification for Interference Detection](https://github.com/AswinSankeshGS/Solution-to-MATLAB-and-Simulink-Challenge-project-245-Classify-RF-Signals-Using-AI)
This project classifies real-time WiFi and Bluetooth RF signals using a machine learning model, developed in MATLAB with Adalm Pluto SDRs, to detect interference.
**Authors:** Aswin Sankesh G S, Balavadhana B, Ganeshkumar V, Velmurugan P G S
**Affiliation:** Thiagarajar College of Engineering
**Submission Date:** 2024-03-15|![]()
[](https://github.com/AswinSankeshGS/Solution-to-MATLAB-and-Simulink-Challenge-project-245-Classify-RF-Signals-Using-AI)
[](https://matlab.mathworks.com/open/github/v1?repo=AswinSankeshGS/Solution-to-MATLAB-and-Simulink-Challenge-project-245-Classify-RF-Signals-Using-AI)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Wireless%20Communication.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Artificial%20Intelligence.md)|