Works Powered by AutoDock-AI

If you find AutoDock-AI useful, please consider citing the following works:

@misc{Rossi2023AutoDock,
    author = {Rossi, Daniel},
    title = {AutoDock: a docker-based framework accelerating Artificial Intelligence research},
    year = {2025},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/DanielRossi1/AutoDock}}
}

The following works have been developed using the AutoDock-AI framework:

• TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios (WACVW 2025): Official Code Implementation