International Journal of Engineering Technology and Applied Science
ISSN (Online): 2395-3853
Home
About Us
Join Us
Editorial Board
Contact Us
Guidelines
Privacy Policy
Terms & Conditions
Refund & Cancellation
Scope & Topics
Fee Structure
Author Guidelines
Paper Submission
Payment
Accepted Papers
Search By Index
Search By Content
Notice Board
Register
Login
Notice Board :
Call for Paper
Vol.
12
Issue
1
Submission Start Date:
January 1, 2026
Acceptence Notification Start:
January 20, 2026
Submission End:
January 25, 2026
Final ManuScript Due:
January 29, 2026
Publication Date:
January 31, 2026
Notice Board:
Call for PaperVol.
12
Issue
1
Submission Start Date:
January 1, 2026
Acceptence Notification Start:
January 20, 2026
Submission End:
January 25, 2026
Final ManuScript Due:
January 29, 2026
Publication Date:
January 31, 2026
Volume III Issue XI
Paper Title
Designing and Simulation of High Speed Area Efficient Full Adder Using Transmission Gates Logic
Author Name
Swadesh Dubey, Dilip Ahirwar, Susmita Bilani, R. S. Pandey
Year Of Publication
2017
Volume and Issue
Volume 3 Issue 11
Abstract
Full Adder is the heart of any central processing unit that is a core component employed in all the processors. This thesis presents a design methodology using pass transistor logic and transmission gates for the architecture of full adder with minimum number of transistor i.e.
PaperID
IJETAS/November/2017/07
Paper Title
A review on image based data encoding techniques
Author Name
Sapna Singh , Dhirendra Mishra
Year Of Publication
2017
Volume and Issue
Volume 3 Issue 11
Abstract
In network security, cryptography has a long history by provides a way to store sensitive information or transmit it across insecure networks (i.e. the Internet) so that it cannot be read by anyone except the intended recipient
PaperID
IJETAS/November/2017/10
Paper Title
Image Contrast Enhancement based on Image Fusion using Laplacian and Gaussian Pyramidal
Author Name
Danish Wasim Khan, Prof. Mukesh Saini, Prof. Jitendra Mishra
Year Of Publication
2017
Volume and Issue
Volume 3 Issue 11
Abstract
a fusion-based distinction improvement technique that integrates information to beat the constraints of assorted distinction improvement algorithms.
PaperID
IJETAS/November/2017/09
Prev
1
Next