# Submissions for: Top Quark Detection with Deep Learning and Big Data
|#| Submission | Links |
|-|-|-------------------------------------------|
|1|[Deep CNN for Top Quark Jet Classification](https://github.com/adit-smoak/Top-Quark-Tagging-Using-Deep-CNN)
A deep CNN with aggregated residual and Squeeze-and-Excite blocks classifies multi-channel particle jet images for real-time top quark detection, achieving 90.87% accuracy and enabling FPGA deployment.
**Authors:** Adit Shah
**Affiliation:** SVKM's Dwarkadas J. Sanghvi College of Engineering
**Submission Date:** 2025-07-17|![]()
[](https://github.com/adit-smoak/Top-Quark-Tagging-Using-Deep-CNN)
[](https://matlab.mathworks.com/open/github/v1?repo=adit-smoak/Top-Quark-Tagging-Using-Deep-CNN)
[](https://www.youtube.com/watch?v=JDQx7aJyvFw)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Artificial%20Intelligence.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Big%20Data.md)|