Research output per year
Research output per year
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Dive into the research topics where Masao Yanagisawa is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Dataflow Optimization through Exploring Single-Layer and Inter-Layer Data Reuse in Memory-Constrained Accelerators
Ye, J., Yanagisawa, M. & Shi, Y., 2022 Aug, In: Electronics (Switzerland). 11, 15, 2356.Research output: Contribution to journal › Article › peer-review
Open Access -
Scalable Hardware Efficient Architecture for Parallel FIR Filters with Symmetric Coefficients
Ye, J., Yanagisawa, M. & Shi, Y., 2022 Oct, In: Electronics (Switzerland). 11, 20, 3272.Research output: Contribution to journal › Article › peer-review
Open Access -
Power-Efficient Deep Convolutional Neural Network Design through Zero-Gating PEs and Partial-Sum Reuse Centric Dataflow
Ye, L., Ye, J., Yanagisawa, M. & Shi, Y., 2021, In: IEEE Access.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
A High-Performance Symmetric Hybrid Form Design for High-Order FIR Filters
Ye, J., Yanagisawa, M. & Shi, Y., 2020 Dec 8, Proceedings of 2020 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2020. Tran, X-T. & Bui, D-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 121-124 4 p. 9301685. (Proceedings of 2020 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A travel decision support algorithm: Landmark activity extraction from japanese travel comments
Bao, S., Yanagisawa, M. & Togawa, N., 2020, Studies in Computational Intelligence. Springer Verlag, p. 109-123 15 p. (Studies in Computational Intelligence; vol. 849).Research output: Chapter in Book/Report/Conference proceeding › Chapter