Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming.

MLA

Tang, Yinqi, et al. “Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming.” IEEE Transactions on Circuits & Systems. Part I: Regular Papers, vol. 67, no. 5, May 2020, pp. 1576–87. EBSCOhost, https://doi.org/10.1109/TCSI.2019.2961643.

APA

Tang, Y., Jia, H., & Verma, N. (2020). Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming. IEEE Transactions on Circuits & Systems. Part I: Regular Papers, 67(5), 1576–1587. https://doi.org/10.1109/TCSI.2019.2961643

Chicago

Tang, Yinqi, Hongyang Jia, and Naveen Verma. 2020. “Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming.” IEEE Transactions on Circuits & Systems. Part I: Regular Papers 67 (5): 1576–87. doi:10.1109/TCSI.2019.2961643.