Submissions for: Top Quark Detection with Deep Learning and Big Data
November 21, 2025 ยท View on GitHub
| # | Submission | Links |
|---|---|---|
| 1 | Deep CNN for Top Quark Jet Classification 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 |      |