NUST Institutions Library Catalogue catalog › Details for: A semantics based Bi-Lingual information retrieval systm to improve results of search engines /

Normal view MARC view ISBD view

A semantics based Bi-Lingual information retrieval systm to improve results of search engines / Muhammad Jamal Ashraf,

TextPublisher: Rawalpindi MCS,NUST 2015Description: xiii,73 pSubject(s): PG Thesis | MSCS-19DDC classification: 005.1,ASH

Tags from this library: No tags from this library for this title. Log in to add tags.

Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Military College of Signals (MCS)	Military College of Signals (MCS)	Thesis	005.1,ASH (Browse shelf)	Available		MCSTCS-348 (A)

Total holds: 0

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	004 Fitting Fat Curves: Font Representation using Fat Curves /	004 Analysis of ECG Survey Data by Applying Clustering Algorithm /	005.1,AHM An Improved Content Based Image Retrival Technique /	005.1,ASH A semantics based Bi-Lingual information retrieval systm to improve results of search engines /	005.1,FAI Development of Optimal Polygonal Approximation Algorithm using Error Histograms /	005.1,IMT Proposing a user centered design pattern for open source software (OSS) /	005.1,NAW Adaptive Trust Calculation in Fog Computing /	Next

There are no comments on this title.

to post a comment.