# 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|
[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/adit-smoak/Top-Quark-Tagging-Using-Deep-CNN)
[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=adit-smoak/Top-Quark-Tagging-Using-Deep-CNN)
[![YouTube Video](https://img.shields.io/badge/Watch%20Video-FF0000?style=flat&logo=youtube&logoColor=white)](https://www.youtube.com/watch?v=JDQx7aJyvFw)


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