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Predicting the lateral displacement of tall buildings using an LSTM-based deep learning approach

Kim, Preethaa, Chen, Natarajan, Wadhwa, and Lee. Wind and Structures, 36 (6): 379--392 (June 2023)

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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsA. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 435 other author(s). (2022)Genetic architecture of subcortical brain structures in 38,851 individualsC. Satizabal, H. Adams, D. Hibar, C. White, M. Knol, J. Stein, M. Scholz, M. Sargurupremraj, N. Jahanshad, G. Roshchupkin and 279 other author(s). Nat. Genet., 51 (11): 1624--1636 (November 2019)Predicting the lateral displacement of tall buildings using an LSTM-based deep learning approachKim, Preethaa, Chen, Natarajan, Wadhwa, and Lee. Wind and Structures, 36 (6): 379--392 (June 2023)A catalog of genetic loci associated with kidney function from analyses of a million individualsM. Wuttke, Y. Li, M. Li, K. Sieber, M. Feitosa, M. Gorski, A. Tin, L. Wang, A. Chu, A. Hoppmann and 319 other author(s). Nat. Genet., 51 (6): 957--972 (June 2019)Abstractive Snippet GenerationW. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast. Proceedings of The Web Conference 2020, New York, NY, USA, ACM, (April 2020)Memory-efficient deep learning on a SpiNNaker 2 prototypeC. Liu, G. Bellec, B. Vogginger, D. Kappel, J. Partzsch, F. Neumärker, S. Höppner, W. Maass, S. Furber, R. Legenstein and 1 other author(s). Front. Neurosci., (November 2018)The making of continuous colormapsP. Nardini, M. Chen, F. Samsel, R. Bujack, M. Bottinger, and G. Scheuermann. IEEE Trans. Vis. Comput. Graph., 27 (6): 3048--3063 (June 2021)Automatic improvement of continuous colormaps in euclidean colorspacesP. Nardini, M. Chen, M. Böttinger, G. Scheuermann, and R. Bujack. Comput. Graph. Forum, 40 (3): 361--373 (June 2021)A testing environment for continuous colormapsP. Nardini, M. Chen, R. Bujack, M. Bottinger, and G. Scheuermann. IEEE Trans. Vis. Comput. Graph., 27 (2): 1043--1053 (February 2021)Mapping deep neural networks on SpiNNaker2F. Kelber, B. Wu, B. Vogginger, J. Partzsch, C. Liu, M. Stolba, and C. Mayr. Proceedings of the Neuro-inspired Computational Elements Workshop, New York, NY, USA, ACM, (March 2020)

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Predicting the lateral displacement of tall buildings using an LSTM-based deep learning approach

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PUMA

Disambiguation of "Chen,"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Predicting the lateral displacement of tall buildings using an LSTM-based deep learning approach

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Predicting the lateral displacement of tall buildings using an LSTM-based deep learning approach