Odame, Kofi, Nyamukuru, Maria, Shahghasemi, Mohsen, Bi, Shengjie, and Kotz, David. Analog Gated Recurrent Unit Neural Network for Detecting Chewing Events. Retrieved from https://par.nsf.gov/biblio/10468945. IEEE Transactions on Biomedical Circuits and Systems 16.6 Web. doi:10.1109/TBCAS.2022.3218889.

Odame, Kofi, Nyamukuru, Maria, Shahghasemi, Mohsen, Bi, Shengjie, & Kotz, David. Analog Gated Recurrent Unit Neural Network for Detecting Chewing Events. IEEE Transactions on Biomedical Circuits and Systems, 16 (6). Retrieved from https://par.nsf.gov/biblio/10468945. https://doi.org/10.1109/TBCAS.2022.3218889

Odame, Kofi, Nyamukuru, Maria, Shahghasemi, Mohsen, Bi, Shengjie, and Kotz, David. "Analog Gated Recurrent Unit Neural Network for Detecting Chewing Events". IEEE Transactions on Biomedical Circuits and Systems 16 (6). Country unknown/Code not available: IEEE. https://doi.org/10.1109/TBCAS.2022.3218889. https://par.nsf.gov/biblio/10468945.

@article{osti_10468945,
place = {Country unknown/Code not available}, title = {Analog Gated Recurrent Unit Neural Network for Detecting Chewing Events}, url = {https://par.nsf.gov/biblio/10468945}, DOI = {10.1109/TBCAS.2022.3218889}, abstractNote = {}, journal = {IEEE Transactions on Biomedical Circuits and Systems}, volume = {16}, number = {6}, publisher = {IEEE}, author = {Odame, Kofi and Nyamukuru, Maria and Shahghasemi, Mohsen and Bi, Shengjie and Kotz, David}, }