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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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/5450| Title: | Rangkaian Neural dan Logik Fuzzy (BEM4233) | Authors: | Universiti Tun Hussein Onn Malaysia | Issue Date: | 2009 | Description: | Semester 2 2008/2009 |
URI: | http://hdl.handle.net/123456789/5450 |
| Appears in Collections: | FKEE - SESI 2008/2009 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 4dbcbf23-7427-48a5-8635-65eb9ebb3924.pdf | 142.82 kB | Adobe PDF | View/Open |
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