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Web Applications Related Items on Java.net

in some places we need to use special characters in XHTML / JAVA.<br/> like <code><b> & , ∑ , ∏ </b></code> ..etc.<br/> For this we need to find out the character entity reference.<br/> We can use W3C Standard character entities given in :<br/> <a href="http://www.w3.org/TR/REC-html40/sgml/entities.html ">http://www.w3.org/TR/REC-html40/sgml/entities.html</a> <br/> Or for best display we can take help from:<br/> <a href="http://www.digitalmediaminute.com/reference/entity">http://www.digitalmediaminute.com/reference/entity</a> <br/> This will help us to place appropriate symbols in side xhtml / java when ever needed.<br/>
Designed and developed by Mr. Tan Choo Jun and supervised by Prof. Lim Chee Peng from University Science Malaysia (http://www.usm.my), USM Extract is a soft computing platform that consists of a number of artificial neural networks and other data-based learning models. The key feature of USM Extract is the autonomous learning capabilities associated with the constituent soft computing models. The main aim of USM Extract is to facilitate the development and application of sustainable intelligent systems that require minimum human supervision and intervention for extracting information/knowledge from complex databases in undertaking data mining and knowledge discovery problems. Details of USM Extract are available at http://extract.java.net/
Designed and developed by Mr. Tan Choo Jun and supervised by Prof. Lim Chee Peng from University Science Malaysia (http://www.usm.my), USM Extract is a soft computing platform that consists of a number of artificial neural networks and other data-based learning models. The key feature of USM Extract is the autonomous learning capabilities associated with the constituent soft computing models. The main aim of USM Extract is to facilitate the development and application of sustainable intelligent systems that require minimum human supervision and intervention for extracting information/knowledge from complex databases in undertaking data mining and knowledge discovery problems. Details of USM Extract are available at http://extract.java.net/
Learn how Facelets can help you speed up JSF development.
July 22, 2011