DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
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Browsing by Author Tu, C.C.
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) | Text |
|---|---|---|---|
| - | Dynamic programming prediction errors of recurrent neural fuzzy networks for speech recognition | Juang, C.F.; 莊家峰; Lai, C.L.; Tu, C.C. | - |
| - | A recurrent self-evolving fuzzy neural network with local feedbacks and its application to dynamic system processing | Juang, C.F.; 莊家峰; Lin, Y.Y.; Tu, C.C. | - |
| - | Recurrent type-2 fuzzy neural network using Haar wavelet energy and entropy features for speech detection in noisy environments | Tu, C.C.; 莊家峰; Juang, C.F. | - |
| - | Study of 375 nm ultraviolet InGaN/AlGaN light-emitting diodes with heavily Si-doped GaN transition layer in growth mode, internal quantum efficiency, and device performance | Huang, S.C.; 洪瑞華; Shen, K.C.; Wuu, D.S.; Tu, P.M.; Kuo, H.C.; Tu, C.C.; Horng, R.H.; 武東星 | - |