Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Rana Aamir Raza"'
Publikováno v:
IEEE Access, Vol 11, Pp 6284-6292 (2023)
In Machine learning and pattern recognition, building a better predictive model is one of the key problems in the presence of big or massive data; especially, if that data contains noisy and unrepresentative data samples. These types of samples adver
Externí odkaz:
https://doaj.org/article/0fb33a6020fb45239d2f41d571cfdc9b
Autor:
Anum Sajjad, Mehreen Afzal, Mian Muhammad Waseem Iqbal, Haider Abbas, Rabia Latif, Rana Aamir Raza
Publikováno v:
IEEE Access, Vol 8, Pp 139903-139917 (2020)
Kleptography is the study of pilfering secure data secretly and subliminally. The concept of inserting backdoors was introduced two decades ago by Young and Yung. However, still it is a serious threat for modern cryptography. Different studies have p
Externí odkaz:
https://doaj.org/article/3247db4c72864299a47ba4084aad6b38
Autor:
Muhammad Ahmad, Manuel Mazzara, Rana Aamir Raza, Salvatore Distefano, Muhammad Asif, Muhammad Shahzad Sarfraz, Adil Mehmood Khan, Ahmed Sohaib
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4739 (2020)
Active Learning (AL) for Hyperspectral Image Classification (HSIC) has been extensively studied. However, the traditional AL methods do not consider randomness among the existing and new samples. Secondly, very limited AL research has been carried ou
Externí odkaz:
https://doaj.org/article/9b2b7b89e5364f278005899161576939
Publikováno v:
Neural Computing & Applications; Dec2024, Vol. 36 Issue 36, p22789-22803, 15p
Publikováno v:
In Information Sciences 1 February 2017 378:484-497
Akademický článek
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Publikováno v:
JOURNAL OF NANOSCOPE (JN). 2:231-255
Feature selection (FS) is one of the most important pre-processing tasks in machine learning (ML) and data mining, that selects optimum features by eliminating noisy and irrelevant features from the data; to improve the generalization ability of a le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c289042ce5e2595e30d425711e0934a1
https://doi.org/10.52700/jn.v2i2.49
https://doi.org/10.52700/jn.v2i2.49
Autor:
null Rana Aamir Raza
Publikováno v:
Lahore Garrison University Research Journal of Computer Science and Information Technology. 5:92-108
In the area of fuzzy rough set theory (FRST), researchers have gained much interest in handling the high-dimensional data. Rough set theory (RST) is one of the important tools used to pre-process the data and helps to obtain a better predictive model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08701c667977c6827d58114264d2682a
https://doi.org/10.54692/lgurjcsit.2021.0503224
https://doi.org/10.54692/lgurjcsit.2021.0503224
Publikováno v:
STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH. 3:57-72
The recent explosion of data has triggered the need of data reduction for completing the effective data mining task in the process of knowledge discovery in databases (KDD). The process of instance selection (IS) plays a significant role for data red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f3c0d9037f79f52c9448401a8262086
https://doi.org/10.52700/scir.v3i1.34
https://doi.org/10.52700/scir.v3i1.34
Autor:
Muhammad H. Khan, Rana Aamir Raza, Ahmed Sohaib, Zainab Saleem, Manuel Mazzara, Muhammad Ahmad, Hamail Ayaz
Publikováno v:
Neural Computing and Applications. 33:14507-14521
Preserving red-chili quality is of utmost importance in which the authorities demand quality techniques to detect, classify, and prevent it from impurities. For example, salt, wheat flour, wheat bran, and rice bran contamination in grounded red chili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ee9941dd7dc6f9908daf386e3edd8c1
https://doi.org/10.1007/s00521-021-06094-4
https://doi.org/10.1007/s00521-021-06094-4