An energy aware resource allocation based on combination of CNN and GRU for virtual machine selection

Z Khodaverdian, H Sadr, SA Edalatpanah… - Multimedia tools and …, 2024 - Springer
The use of cloud computing service models is rapidly increasing, but inefficient resource
usage in cloud data centers can lead to great energy consumption and costs. To address …

ACNN-TL: attention-based convolutional neural network coupling with transfer learning and contextualized word representation for enhancing the performance of …

H Sadr, M Nazari Soleimandarabi - The journal of supercomputing, 2022 - Springer
Due to the rapid growth of textual information on the web, analyzing users' opinions about
particular products, events or services is now considered a crucial and challenging task that …

CSCNN: cost-sensitive convolutional neural network for encrypted traffic classification

S Soleymanpour, H Sadr… - Neural Processing …, 2021 - Springer
By the rapid development of the Internet and online applications, traffic classification not only
has changed to an interesting topic in the field of computer networks but also plays a key …

[HTML][HTML] Roman Urdu sentiment analysis using transfer learning

D Li, K Ahmed, Z Zheng, SAH Mohsan, MH Alsharif… - Applied Sciences, 2022 - mdpi.com
Numerous studies have been conducted to meet the growing need for analytic tools capable
of processing increasing amounts of textual data available online, and sentiment analysis …

Convolutional neural network equipped with attention mechanism and transfer learning for enhancing performance of sentiment analysis

H Sadr, MM Pedram… - Journal of AI and data …, 2021 - jad.shahroodut.ac.ir
With the rapid development of textual information on the web, sentiment analysis is
changing to an essential analytic tool rather than an academic endeavor and numerous …

A shallow deep neural network for selection of migration candidate virtual machines to reduce energy consumption

Z Khodaverdian, H Sadr… - 2021 7th International …, 2021 - ieeexplore.ieee.org
In recent years, the widespread growth of cloud computing has surprisingly increased the
energy consumption in data centers. In this regard, employing energy reduction techniques …

Automatic personality traits perception using asymmetric auto-encoder

EJ Zaferani, M Teshnehlab, M Vali - IEEE access, 2021 - ieeexplore.ieee.org
On account of an increase in the human-computer interface applications, the study of
automatic personality perception has become more and more prevalent than speech signal …

Combination of convolutional neural network and gated recurrent unit for energy aware resource allocation

Z Khodaverdian, H Sadr, SA Edalatpanah… - arxiv preprint arxiv …, 2021 - arxiv.org
Cloud computing service models have experienced rapid growth and inefficient resource
usage is known as one of the greatest causes of high energy consumption in cloud data …

[HTML][HTML] An intelligent model for multidimensional personality recognition of users using deep learning methods

H Sadr - Journal of Information and Communication Technology, 2021 - jour.aicti.ir
Due to the significant growth of textual information and data generated by humans on social
networks, there is a need for systems that can automatically analyze the data and extract …

A novel deep learning method for textual sentiment analysis

H Sadr, MN Solimandarabi, MM Pedram… - arxiv preprint arxiv …, 2021 - arxiv.org
Sentiment analysis is known as one of the most crucial tasks in the field of natural language
processing and Convolutional Neural Network (CNN) is one of those prominent models that …