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Showing items 1-21 of 21 (1 Page(s) Totally)
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Institution	Date	Title	Author
臺大學術典藏	2022-05-24T06:05:28Z	A texture-Based Video Processing Methodology Using Bayesian Data Fusion for Autonomous Crack Detection on Metallic Surfaces	Chen F.-C.;Jahanshahi M.R.;Wu R.-T.;Joffe C.; Chen F.-C.; Jahanshahi M.R.; Wu R.-T.; Joffe C.; RIH-TENG WU
臺大學術典藏	2022-05-24T06:05:28Z	An autonomous video analysis method for crack detection on metallic surfaces based on texture recognition and Bayesian data fusion	Chen F.-C.;Jahanshahi M.R.;Wu R.-T.;Joffe C.; Chen F.-C.; Jahanshahi M.R.; Wu R.-T.; Joffe C.; RIH-TENG WU
臺大學術典藏	2022-05-24T06:05:27Z	Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures	Wu R.-T.;Singla A.;Jahanshahi M.R.;Bertino E.;Ko B.J.;Verma D.; Wu R.-T.; Singla A.; Jahanshahi M.R.; Bertino E.; Ko B.J.; Verma D.; RIH-TENG WU
臺大學術典藏	2022-05-24T06:05:27Z	Deep convolutional neural network for structural dynamic response estimation and system identification	Wu R.-T.;Jahanshahi M.R.; Wu R.-T.; Jahanshahi M.R.; RIH-TENG WU
臺大學術典藏	2022-05-24T06:05:27Z	Pruning deep neural networks for efficient edge computing in internet of things: A structural health monitoring case study	Wu R.-T.;Singla A.;Jahanshahi M.R.;Bertino E.; Wu R.-T.; Singla A.; Jahanshahi M.R.; Bertino E.; RIH-TENG WU
臺大學術典藏	2022-05-24T06:05:26Z	Data fusion approaches for structural health monitoring and system identification: Past, present, and future	Wu R.-T.;Jahanshahi M.R.; Wu R.-T.; Jahanshahi M.R.; RIH-TENG WU
臺大學術典藏	2022-05-24T06:05:25Z	Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation	Wu R.-T.;Liu T.-W.;Jahanshahi M.R.;Semperlotti F.; Wu R.-T.; Liu T.-W.; Jahanshahi M.R.; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-05-24T06:05:25Z	Deep learning-based multi-class damage detection for autonomous post-disaster reconnaissance	Ghosh Mondal T.;Jahanshahi M.R.;Wu R.-T.;Wu Z.Y.; Ghosh Mondal T.; Jahanshahi M.R.; Wu R.-T.; Wu Z.Y.; RIH-TENG WU
臺大學術典藏	2022-05-24T06:05:24Z	A physics-constrained deep learning based approach for acoustic inverse scattering problems	Wu R.-T.;Jokar M.;Jahanshahi M.R.;Semperlotti F.; Wu R.-T.; Jokar M.; Jahanshahi M.R.; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:28:05Z	Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation	Wu R.-T;Liu T.-W;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Liu T.-W; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:28:05Z	Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation	Wu R.-T;Liu T.-W;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Liu T.-W; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:28:05Z	Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation	Wu R.-T;Liu T.-W;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Liu T.-W; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:28:05Z	Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation	Wu R.-T;Liu T.-W;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Liu T.-W; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:28:05Z	A physics-constrained deep learning based approach for acoustic inverse scattering problems	Wu R.-T;Jokar M;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Jokar M; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:28:05Z	A physics-constrained deep learning based approach for acoustic inverse scattering problems	Wu R.-T;Jokar M;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Jokar M; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:28:04Z	A physics-constrained deep learning based approach for acoustic inverse scattering problems	Wu R.-T;Jokar M;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Jokar M; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:28:04Z	A physics-constrained deep learning based approach for acoustic inverse scattering problems	Wu R.-T;Jokar M;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Jokar M; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:25:21Z	Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation	Wu R.-T;Liu T.-W;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Liu T.-W; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:25:21Z	Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation	Wu R.-T;Liu T.-W;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Liu T.-W; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:25:20Z	A physics-constrained deep learning based approach for acoustic inverse scattering problems	Wu R.-T;Jokar M;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Jokar M; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU
臺大學術典藏	2022-03-22T08:25:20Z	A physics-constrained deep learning based approach for acoustic inverse scattering problems	Wu R.-T;Jokar M;Jahanshahi M.R;Semperlotti F.; Wu R.-T; Jokar M; Jahanshahi M.R; Semperlotti F.; RIH-TENG WU

Showing items 1-21 of 21 (1 Page(s) Totally)
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