Zhang, Songyang, Choi, Brian, Ouyang, Feng, and Ding, Zhi. Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence. Retrieved from https://par.nsf.gov/biblio/10528843. IEEE Communications Magazine 62.8 Web. doi:10.1109/MCOM.001.2300782.

Zhang, Songyang, Choi, Brian, Ouyang, Feng, & Ding, Zhi. Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence. IEEE Communications Magazine, 62 (8). Retrieved from https://par.nsf.gov/biblio/10528843. https://doi.org/10.1109/MCOM.001.2300782

Zhang, Songyang, Choi, Brian, Ouyang, Feng, and Ding, Zhi. "Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence". IEEE Communications Magazine 62 (8). Country unknown/Code not available: IEEE Explore https://ieeexplore.ieee.org/document/10634040. https://doi.org/10.1109/MCOM.001.2300782. https://par.nsf.gov/biblio/10528843.

@article{osti_10528843,
place = {Country unknown/Code not available}, title = {Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence}, url = {https://par.nsf.gov/biblio/10528843}, DOI = {10.1109/MCOM.001.2300782}, abstractNote = {}, journal = {IEEE Communications Magazine}, volume = {62}, number = {8}, publisher = {IEEE Explore https://ieeexplore.ieee.org/document/10634040}, author = {Zhang, Songyang and Choi, Brian and Ouyang, Feng and Ding, Zhi}, }