Zobrazeno 1 - 10
of 25
pro vyhledávání: '"MohammadAmin Fazli"'
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200348- (2024)
Portfolio optimization is one of the essential fields of focus in finance. There has been an increasing demand for novel computational methods in this area to compute portfolios with better returns and lower risks in recent years. We present a novel
Externí odkaz:
https://doaj.org/article/f4c2886259d346b59f9d085b56590b6e
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Autor:
Abolfazl Younesi, Mohsen Ansari, Mohammadamin Fazli, Alireza Ejlali, Muhammad Shafique, Jorg Henkel
Publikováno v:
IEEE Access, Vol 12, Pp 41180-41218 (2024)
In today’s digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image classification, object detection, and image segmentation. There are numerous types of CNNs
Externí odkaz:
https://doaj.org/article/e0407f997a014411ac3233d7592482f6
Autor:
Abolfazl Younesi, Mohsen Ansari, Mohammadamin Fazli, Alireza Ejlali, Muhammad Shafique, Jorg Henkel
Publikováno v:
IEEE Access, Vol 12, Pp 112180-112180 (2024)
In the above article [1], references 25 and 30 were retracted. As the works in these references are no longer reliable, we are replacing reference 25 with [2] and reference 30 with [3] and [4]. This results in the following corrections:
Externí odkaz:
https://doaj.org/article/e9704ae76d594c6c8699c9bc2e75ccba
Autor:
Mohammed Gharib, MohammadAmin Fazli
Publikováno v:
The Journal of Supercomputing. 79:2356-2382
Publikováno v:
Information Sciences. 600:144-154
Autor:
Seyed Parsa Neshaei, Amirmahdi Namjoo, Parham Chavoshian, Parham Saremi, Mohammad Taha Jahani-Nezhad, Amirmahdi Kousheshi, Mohammadamin Fazli
Publikováno v:
EDULEARN Proceedings.
Publikováno v:
The Computer Journal. 65:1293-1305
We propose a novel hybrid learning approach to gain situation awareness in smart environments by introducing a new situation identifier that combines an expert system and a machine learning approach. Traditionally, expert systems and machine learning
Publikováno v:
IEEE Transactions on Computational Social Systems. 6:627-636
With the widespread access of people to the Internet and the increasing usage of social networks in all nations, social networks have become a new source to study cultural similarities and differences. We identified major issues in traditional method
Publikováno v:
IEEE Transactions on Network Science and Engineering. 6:225-236
Controlling networked dynamical systems is a challenging endeavor, specifically keeping in mind the fact that in many scenarios the actors engaged in the dynamism behave selfishly, only taking into account their own individual utility. This setting h
Publikováno v:
Future Generation Computer Systems. 90:451-460
One of the main questions in cloud computing environments is how to efficiently distribute user requests or Virtual Machines (VMs) based on their resource needs over time. This question is also an important one when dealing with a cloud federation en