Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Dehua Liang"'
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 211-223 (2024)
Hyper-Dimensional (HD) computing is a brain-inspired learning approach for efficient and fast learning on today’s embedded devices. HDC first encodes all data points to high-dimensional vectors called hypervectors and then efficiently performs the
Externí odkaz:
https://doaj.org/article/91f45b301e794ddc964ba2a1d0a40a62
Autor:
Tessa Rusch, Yanting Han, Dehua Liang, Amber R. Hopkins, Caroline V. Lawrence, Uri Maoz, Lynn K. Paul, Damian A. Stanley, the COVID-Dynamic Team
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-23 (2023)
Measurement(s) Mental and Physical Health, Behavior, Personality, Emotion, Racial and Political Attitudes (Implicit and Explicit), Social and Moral Decision-Making, Demographics Technology Type(s) Questionnaires and Choice Tasks Factor Type(s) none S
Externí odkaz:
https://doaj.org/article/5ea1e3a06fcc4d59a638a762f28042ba
Publikováno v:
IEICE Transactions on Information and Systems. :1273-1282
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97d44a09cff408396c922cb5c0ecd89f
https://doi.org/10.1587/transinf.2021edp7203
https://doi.org/10.1587/transinf.2021edp7203
Autor:
Dehua Liang, David A. Frederick, Elia E. Lledo, Natalia Rosenfield, Vincent Berardi, Erik Linstead, Uri Maoz
Publikováno v:
Body Image. 41:32-45
Most body image studies assess only linear relations between predictors and outcome variables, relying on techniques such as multiple Linear Regression. These predictor variables are often validated multi-item measures that aggregate individual items
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13c2c034f8550d5f0d546dac24837ee0
https://doi.org/10.1016/j.bodyim.2022.01.013
https://doi.org/10.1016/j.bodyim.2022.01.013
Publikováno v:
Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa1b5197205a2fd2f6d5b00f717ce173
https://doi.org/10.1145/3566097.3567886
https://doi.org/10.1145/3566097.3567886
Publikováno v:
Journal of the European Ceramic Society. 41:5696-5710
In this paper, in order to reduce the preparation cost of high-performance ceramic membrane, coal fly ash-based tubular ceramic membrane for flue gas moisture recovery was prepared, and its properties were optimized from two aspects: pore-forming age
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a37b4706c08da162b08bf8c014eb363c
https://doi.org/10.1016/j.jeurceramsoc.2021.04.055
https://doi.org/10.1016/j.jeurceramsoc.2021.04.055
Publikováno v:
Ceramics International. 47:10464-10477
Inorganic ceramic membrane has the advantages of excellent thermal stability, mechanical strength, chemical resistance and fouling resistance. And it has been widely studied and applied in flue gas moisture recovery, gas purification and wastewater t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ad3afbd556cc24b5168eb45994fa473
https://doi.org/10.1016/j.ceramint.2020.12.235
https://doi.org/10.1016/j.ceramint.2020.12.235
Publikováno v:
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c538a83cabdd6172b4130a0c29f21a9
https://doi.org/10.1109/asp-dac52403.2022.9712589
https://doi.org/10.1109/asp-dac52403.2022.9712589
Publikováno v:
DATE
In this work, we propose a BloomCA which utilizes cellular automata (CA) and ensemble Bloom filter to organize an RC system by using only binary operations, which is suitable for hardware implementation. The rich pattern dynamics created by CA can ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::299661834c653613f85d7ec506deb694
https://doi.org/10.23919/date51398.2021.9474047
https://doi.org/10.23919/date51398.2021.9474047
Background Data augmentation (DA) has recently been demonstrated to achieve considerable performance gains for deep learning (DL)—increased accuracy and stability and reduced overfitting. Some electroencephalography (EEG) tasks suffer from low samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::677c900ed684c4646e40ca088e9613aa
https://resolver.caltech.edu/CaltechAUTHORS:20200811-085708957
https://resolver.caltech.edu/CaltechAUTHORS:20200811-085708957
