Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Umesh Ghanekar"'
Publikováno v:
Revista Colombiana de Computación, Vol 6, Iss 2 (2005)
The paper aims at providing a formal system, motivated by Dijkstra’s weakest precondition logic, for specifying mobile network. The paper shows how mobility can be specified using a state and transition based approach, which allows mobile hosts to
Externí odkaz:
https://doaj.org/article/07852f5e8d2846798327b4e4b811f8d3
Publikováno v:
The Journal of Physical Chemistry C. 127:8905-8912
Publikováno v:
Pattern Recognition and Image Analysis. 32:11-32
Publikováno v:
ChemistrySelect. 7
Autor:
Umesh Ghanekar, V. Srinivasarao
Publikováno v:
International Journal of Speech Technology. 25:831-836
In modern telecommunication systems the presence of noise in background degrades the overall intelligibility and quality of the speech signal. The problem of enhancing speech signals and reducing acoustic noise from the noisy environment using adapti
Publikováno v:
IEEE Technology and Society Magazine. 40:80-83
Our work starts by offering two statements, given in different historical times and in different epistemic contexts, which reveal two radically different visions of what a problem is and how we should engage with it.
Autor:
Garima Pandey, Umesh Ghanekar
Publikováno v:
Pattern Recognition and Image Analysis. 31:18-23
Advent of convolutional neural network (CNN) in the field of single image super-resolution (SISR) has shown immense improvement in the process of high resolution (HR) image generation. It involves an end-to-end mathematical mapping through non-linear
Publikováno v:
Journal of Circuits, Systems and Computers. 31
A new architecture of 4-bit reversible multiplier with scalability factor of order [Formula: see text] is presented in this paper. The design procedure is based on a unique method of gates placement, which produces parity preserving circuits. This pr
Publikováno v:
Archives of Materials Science and Engineering. 2:49-61
Purpose: Experimental investigations assessment and comparison of different classical models and machine learning models employed with Gaussian process regression (GPR) and artificial neural network (ANN) in the estimation of the depth of penetration
Publikováno v:
National Academy Science Letters. 44:215-220
An intense trade-off arises between testing, hardware and speed of electronic circuits. An efficient design for testability methodology for the detection of stuck-at faults in reversible circuits is presented in this paper by exploiting the propertie