Yilmaz, Y., & Gül, F. (2024). Neuro-inspired hardware solutions for high-performance computing: A TiO2-based nano-synaptic device approach with backpropagation. Integration (Amsterdam), 97, 102206. https://doi.org/10.1016/j.vlsi.2024.102206
Chicago Style (17th ed.) CitationYilmaz, Yildiran, and Fatih Gül. "Neuro-inspired Hardware Solutions for High-performance Computing: A TiO2-based Nano-synaptic Device Approach with Backpropagation." Integration (Amsterdam) 97 (2024): 102206. https://doi.org/10.1016/j.vlsi.2024.102206.
MLA (9th ed.) CitationYilmaz, Yildiran, and Fatih Gül. "Neuro-inspired Hardware Solutions for High-performance Computing: A TiO2-based Nano-synaptic Device Approach with Backpropagation." Integration (Amsterdam), vol. 97, 2024, p. 102206, https://doi.org/10.1016/j.vlsi.2024.102206.