Zobrazeno 1 - 10
of 75
pro vyhledávání: '"TEIMOURPOUR, BABAK"'
Network analysis is increasingly important across various fields, including the fragrance industry, where perfumes are represented as nodes and shared user preferences as edges in perfume networks. Community detection can uncover clusters of similar
Externí odkaz:
http://arxiv.org/abs/2410.19177
Autor:
Rokhva, Shayan, Teimourpour, Babak
Integrating artificial intelligence into modern society is profoundly transformative, significantly enhancing productivity by streamlining various daily tasks. AI-driven recognition systems provide notable advantages in the food sector, including imp
Externí odkaz:
http://arxiv.org/abs/2410.02304
In contemporary society, the application of artificial intelligence for automatic food recognition offers substantial potential for nutrition tracking, reducing food waste, and enhancing productivity in food production and consumption scenarios. Mode
Externí odkaz:
http://arxiv.org/abs/2405.11621
Autor:
Heydari, Mohammad, Teimourpour, Babak
The rise of the Internet and the exponential increase in data have made manual data summarization and analysis a challenging task. Instagram social network is a prominent social network widely utilized in Iran for information sharing and communicatio
Externí odkaz:
http://arxiv.org/abs/2402.12272
Autor:
Heydari, Mohammad, Teimourpour, Babak
Patent analysis has recently been recognized as a powerful technique for large companies worldwide to lend them insight into the age of competition among various industries. This technique is considered a shortcut for developing countries since it ca
Externí odkaz:
http://arxiv.org/abs/2309.13888
Autor:
Ajami, Abolfazl, Teimourpour, Babak
Background: People's health depends on the use of proper diet as an important factor. Today, with the increasing mechanization of people's lives, proper eating habits and behaviors are neglected. On the other hand, food recommendations in the field o
Externí odkaz:
http://arxiv.org/abs/2306.16528
Autor:
Ayoubi, Mahboube1 (AUTHOR), Teimourpour, Babak2 (AUTHOR) b.teimourpour@modares.ac.ir, Hassanzadeh, Alireza3 (AUTHOR)
Publikováno v:
Cancer Informatics. 6/6/2024, p1-9. 9p.
Publikováno v:
2022.Current Bioinformatics, 17(4), 327-343
Identification of genes that initiate cell anomalies and cause cancer in humans is among the important fields in the oncology researches. The mutation and development of anomalies in these genes are then transferred to other genes in the cell and the
Externí odkaz:
http://arxiv.org/abs/2101.07619
Publikováno v:
Safar, M.A. and Teimourpour, B., 2020. KatzDriver: A network based method to cancer causal genes discovery in gene regulatory network. Biosystems, p.104326
One of the important issues in oncology is finding the genes that perturbation the cell functionality, and result in cancer propagation. The genes, namely driver genes, when they mutate in expression, result in cancer through activation of the mutate
Externí odkaz:
http://arxiv.org/abs/2003.06266
Autor:
Heydari, Mohammad, Teimourpour, Babak
We are living in the data age. Communications over scientific networks creates new opportunities for researchers who aim to discover the hidden pattern in these huge repositories. This study utilizes network science to create collaboration network of
Externí odkaz:
http://arxiv.org/abs/2003.05591