Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Shahram LATIFI"'
Autor:
Priyanka Rajendra, Shahram Latifi
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 1, Iss , Pp 100032- (2021)
Background: Logistic regression is a classification model in machine learning, extensively used in clinical analysis. It uses probabilistic estimations which helps in understanding the relationship between the dependent variable and one or more indep
Externí odkaz:
https://doaj.org/article/dec5d8750753488da9410308f6071eb5
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 16, Iss 3, Pp 235-245 (2010)
Kaynak dil her ne olursa olsun metin dosyaları, kayda değer miktarda tekrar (fazlalık) içerebilmektedir. Veri sıkıştırma, bu fazlalığı kullanarak ileti etkinliğini artırmayı ve bilgi depolama masrafını azaltmayı amaçlar. Geleneksel
Externí odkaz:
https://doaj.org/article/6bd5ee60086c46718a5d5f93dba2c346
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 16, Iss 3, Pp 235-245 (2010)
Regardless of the source language, text documents contain significant amount of redundancy. Data compression exploits this redundancy to improve transmission efficiency and/or save storage space. Conventionally, various lossless text compression algo
Externí odkaz:
https://doaj.org/article/8d0cdea7ddf14f3493c2d3e1d6a61fa4
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 2, Iss 3, Pp 251-265 (2006)
Externí odkaz:
https://doaj.org/article/07272eb2936e40039dc094e444af7373
Publikováno v:
SN Business & Economics. 2
Chebyshev polynomials have unique properties that place them in a class of functions that are highly efficient in the approximation of non-linear functions. Machine learning techniques are being applied to solve complex non-linear problems in the fin
Autor:
Jingyuan Dai, Shahram Latifi
Publikováno v:
International Journal of Computer Applications. 183:1-7
Autor:
Kyle Deignan, Shahram Latifi
Publikováno v:
International Journal of Computer Applications. 174:1-5
Autor:
Lina Chato, Shahram Latifi
Publikováno v:
Journal of Personalized Medicine
Journal of Personalized Medicine, Vol 11, Iss 1336, p 1336 (2021)
Journal of Personalized Medicine; Volume 11; Issue 12; Pages: 1336
Journal of Personalized Medicine, Vol 11, Iss 1336, p 1336 (2021)
Journal of Personalized Medicine; Volume 11; Issue 12; Pages: 1336
Glioblastoma is an aggressive brain tumor with a low survival rate. Understanding tumor behavior by predicting prognosis outcomes is a crucial factor in deciding a proper treatment plan. In this paper, an automatic overall survival time prediction sy
Autor:
Shirin Nasr Esfahani, Shahram Latifi
Publikováno v:
International Journal of Computer Science and Information Technology. 11:33-50
In recent years, frameworks that employ Generative Adversarial Networks (GANs) have achieved immense results for various applications in many fields especially those related to image generation both due to their ability to create highly realistic and
Autor:
Norberto Torres-Reyes, Shahram Latifi
Publikováno v:
International Journal of Computer Applications. 182:27-31