Richard C. Yarnell

According to our database, Richard C. Yarnell authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RTL-SMARTIE: An AI-Assisted Tutor for RTL Design Education.

Richard C. Yarnell, Paul Amoruso, Adrian Emeterio

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

FPGA-based Acceleration of LLM Inference Using Compression-Based Similarity Classification.

Paul Amoruso, Richard C. Yarnell, Ronald F. DeMara

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

2024

FOCAL: Feature-Oriented Cellular Automata Learning for Convolution-Free Image Classification.

Noah Ari, Richard C. Yarnell, Paul Amoruso, Johnathan Mell, Ronald F. DeMara, Annie S. Wu

Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

Educational Tool-spaces for Convolutional Neural Network FPGA Design Space Exploration Using High-Level Synthesis.

Richard C. Yarnell, Mousam Hossain, Raul Graterol, Ayush Pindoria, Sujan Ghimire, Muhtasim Alam Chowdhury, Soheil Salehi, Yu Bai, Ronald F. DeMara

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Interactive Framework for Cybersecurity Education and Future Workforce Development.

Sujan Ghimire, Muhtasim Alam Chowdhury, Ryan Tsang, Richard C. Yarnell, Emma Heckert, Jaeden Wolf Carpenter, Yu-Zheng Lin, Muntasir Mamun, Ronald F. DeMara, Setareh Rafatirad, Pratik Satam, Soheil Salehi

Proceedings of the IEEE Frontiers in Education Conference, 2024

2023

Image Quantization Tradeoffs in a YOLO-based FPGA Accelerator Framework.

Richard C. Yarnell, Mousam Hossain, Ronald F. DeMara

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

A Genetic Algorithm for Combinational Logic Circuit Synthesis Using Directed Graph Primitives.

Richard C. Yarnell, Pierce Powell, Ronald F. DeMara, Annie S. Wu

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets.

Richard C. Yarnell, Daniel Brignac, Yanjie Fu, Ronald F. DeMara

Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022