Cheng, Zezhou, Maji, Subhransu, and Sheldon, Daniel. AI for conservation: learning to track birds with radar. Retrieved from https://par.nsf.gov/biblio/10359645. XRDS: Crossroads, The ACM Magazine for Students 27.4 Web. doi:10.1145/3466859.

Cheng, Zezhou, Maji, Subhransu, & Sheldon, Daniel. AI for conservation: learning to track birds with radar. XRDS: Crossroads, The ACM Magazine for Students, 27 (4). Retrieved from https://par.nsf.gov/biblio/10359645. https://doi.org/10.1145/3466859

Cheng, Zezhou, Maji, Subhransu, and Sheldon, Daniel. "AI for conservation: learning to track birds with radar". XRDS: Crossroads, The ACM Magazine for Students 27 (4). Country unknown/Code not available. https://doi.org/10.1145/3466859. https://par.nsf.gov/biblio/10359645.

@article{osti_10359645,
place = {Country unknown/Code not available}, title = {AI for conservation: learning to track birds with radar}, url = {https://par.nsf.gov/biblio/10359645}, DOI = {10.1145/3466859}, abstractNote = {How deep neural networks can process millions of weather radar data points to help researchers monitor continental-scale bird migration.}, journal = {XRDS: Crossroads, The ACM Magazine for Students}, volume = {27}, number = {4}, author = {Cheng, Zezhou and Maji, Subhransu and Sheldon, Daniel}, }