Notice Board :

Call for Paper
Vol. 11 Issue 4

Submission Start Date:
April 01, 2024

Acceptence Notification Start:
April 10, 2024

Submission End:
April 20, 2024

Final MenuScript Due:
April 28, 2024

Publication Date:
April 30, 2024
                         Notice Board: Call for PaperVol. 11 Issue 4      Submission Start Date: April 01, 2024      Acceptence Notification Start: April 10, 2024      Submission End: April 20, 2024      Final MenuScript Due: April 28, 2024      Publication Date: April 30, 2024




Volume I Issue III

Author Name
Monti Babulal Pal
Year Of Publication
2014
Volume and Issue
Volume 1 Issue 3
Abstract
Now this day WWW is a strong communication media for sharing globally distributed information .In order to enhanced service response, web usages mining play an important role. Web log file is an important source of information for web uses mining but raw web log file contain extraneous object which lead inefficient mining result .So every web log file need to pre-process before use as input for web mining result .This paper gives an brief view over log file preprocessing and proposed an efficient preprocessing mechanism that lead better mining result towards web personalization.
PaperID
IJTRM/01/03/1231

Author Name
Sawaliya K. Patidar
Year Of Publication
2014
Volume and Issue
Volume 1 Issue 3
Abstract
Information transmission over the communication media will not secure in recent state of affairs. Completely different kind of secure information transmission technique will developed in past few years. One in all the foremost useful and economical information concealment techniques is watermarking. Many works drained this information concealment technique related to image watermarking techniques. This paper targeted on the information (Image or text) concealment exploitation audio that's understood as audio steganography.
PaperID
IJTRM/01/03/1253

Author Name
Pawan Agrawal, Deelip Modi
Year Of Publication
2014
Volume and Issue
Volume 1 Issue 3
Abstract
Image fusion technique applied in varied field of natural science for diagnose of great medical daisies. The brain stroke detection in head is very robust task as results of the tissues of head square measure necessary issue. Presently the detection technique used high intensity transmission camera for gathering brain stroke image for analysis of stroke. Throughout this paper projected a feature improvement technique for brain stroke detection. The projected technique supported ripple transforms operate and particle of swarm improvement technique. The projected rule performs higher in compression of pervious methodology like WT and IWT transform methodology.
PaperID
IJTRM/01/03/1294