Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mouad M. H. Ali"'
Autor:
Muhammad Nadeem, Mouad M. H. Ali
Publikováno v:
Journal of Mathematics, Vol 2023 (2023)
This paper presents the study of a numerical scheme for the analytical solution of nonlinear gas dynamic equation. We use the idea of Laplace–Carson transform and associate it with the homotopy perturbation method (HPM) for obtaining the series sol
Externí odkaz:
https://doaj.org/article/929de145dd8b4738b5465ab8cee64a21
Autor:
Muhammad Nadeem, Mouad M. H. Ali
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
In this article, we propose an idea of Sawi homotopy perturbation transform method (SHPTM) to derive the analytical results of nonlinear gas dynamic (GD) equations. The implementation of this numerical scheme is straightforward and produces the resul
Externí odkaz:
https://doaj.org/article/25e284e2e5f945ee809ead72871a6d43
Publikováno v:
Indian Journal of Science and Technology. 11:1-12
Objective: To extract the Region of Interest (ROI) of palmprint image by using appropriate methods and to improve the accuracy of palmprint recognition system. Methods/Statistical Analysis: This piece of work is primarily addressing the different mec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4a93ac7f2652402191830a0d072bdfe
https://doi.org/10.17485/ijst/2018/v11i22/122752
https://doi.org/10.17485/ijst/2018/v11i22/122752
Autor:
Ashok T. Gaikwad, Mouad M. H. Ali
Publikováno v:
International Journal of Computer Applications. 158:43-47
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d3ac2583372e7d1b4158305e949273
https://doi.org/10.5120/ijca2017912793
https://doi.org/10.5120/ijca2017912793
Publikováno v:
Procedia Computer Science. 115:482-492
This work based on fusion of multi-algorithm used for palmprint identification system. This piece of work is primary addressing different mechanism like Competitive Valley Hand Detection methods (CHVD) which used for extract Region of Interest (ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e42ba7b506617af5bf43874bfe7f4166
https://doi.org/10.1016/j.procs.2017.09.091
https://doi.org/10.1016/j.procs.2017.09.091
Publikováno v:
Procedia Computer Science. 115:501-508
Day to day Digital Image has widely increased popularity in Human life. People edit image with the help of editing tools or software for malicious intent. This work is to identify inconsistency in an image. The paper contains different steps suchas p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be4107aa52fd29aee326145fd96e0790
https://doi.org/10.1016/j.procs.2017.09.097
https://doi.org/10.1016/j.procs.2017.09.097
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811391804
RTIP2R (1)
RTIP2R (1)
In the Human life, videos popularity has increased day by day. With the help of high qualityvideo camera and video editing tools peoples easily manipulate video for malicious intent. Sonow a day, this is becoming significant topic in the recent year
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bba16ac5db1e3da0385ec8a80ebf822
https://doi.org/10.1007/978-981-13-9181-1_9
https://doi.org/10.1007/978-981-13-9181-1_9
Publikováno v:
Information and Communication Technology for Intelligent Systems ISBN: 9789811317415
The popularity of Digital Image has widely increased in society. Nowadays, by the easy availability of image editing software people can manipulate the image for malicious intent. Our proposed method is to detect inconsistency in the exact area of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09ba4c4c3bb88d6a70261abfdea07d39
https://doi.org/10.1007/978-981-13-1742-2_56
https://doi.org/10.1007/978-981-13-1742-2_56
Publikováno v:
Information and Communication Technology for Intelligent Systems ISBN: 9789811317460
This chapter presents leaf shape moment invariant features and a neural network approach to plant classification. Leaf image samples for plant species were processed in order to find leaf shape patterns. Further leaf shape moment invariant features w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84a99972ac5a292bec6dd18374111053
https://doi.org/10.1007/978-981-13-1747-7_13
https://doi.org/10.1007/978-981-13-1747-7_13