Investigating a serious challenge in the sustainable development process: analysis of confirmed cases of COVID-19 (new type of coronavirus) through a binary …

B Pirouz, S Shaffiee Haghshenas… - Sustainability, 2020 - mdpi.com
Nowadays, sustainable development is considered a key concept and solution in creating a
promising and prosperous future for human societies. Nevertheless, there are some …

Att-Net: Enhanced emotion recognition system using lightweight self-attention module

S Kwon - Applied Soft Computing, 2021 - Elsevier
Speech emotion recognition (SER) is an active research field of digital signal processing
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …

Prioritizing and analyzing the role of climate and urban parameters in the confirmed cases of COVID-19 based on artificial intelligence applications

S Shaffiee Haghshenas, B Pirouz… - International journal of …, 2020 - mdpi.com
Nowadays, an infectious disease outbreak is considered one of the most destructive effects
in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an …

Feasibility of intelligent models for prediction of utilization factor of TBM

AM Noori, R Mikaeil, M Mokhtarian… - Geotechnical and …, 2020 - Springer
Performance prediction of the tunnel boring machine (TBM) in the construction of urban
tunnels is under the consideration of tunnel experts due to its ability in minimizing the time …

A study on metaheuristic-based neural networks for image segmentation purposes

N Razmjooy, VV Estrela, HJ Loschi - Data science, 2019 - taylorfrancis.com
Image segmentation is one of the most important tasks of visual machine and image
processing that helps to recognize the pattern. Grouping of the pixels of an image helps to …

An integrated network architecture for data repair and degradation trend prediction

Q Yang, B Tang, S Yang, Y Shen - Mechanical Systems and Signal …, 2023 - Elsevier
This paper proposed a network framework, namely DR-DTPN, which integrates data repair
and degradation trend prediction to address the serious deviation of equipment degradation …

A new conventional criterion for the performance evaluation of gang saw machines

SS Haghshenas, RS Faradonbeh, R Mikaeil… - Measurement, 2019 - Elsevier
The process of cutting dimension stones by gang saw machines plays a vital role in the
productivity and efficiency of quarries and stone cutting factories. The maximum electrical …

[HTML][HTML] Evaluation of gang saws' performance in the carbonate rock cutting process using feasibility of intelligent approaches

A Dormishi, M Ataei, R Mikaeil, R Khalokakaei… - … Science and Technology …, 2019 - Elsevier
Gang saw is widely used in the dimension stone industry and stone cutting factories. One of
the important factors in evaluating the efficiency of a machine is the electrical current …

Multi-objective prediction of coal-fired boiler with a deep hybrid neural networks

X Hu, P Niu, J Wang, X Zhang - Atmospheric Pollution Research, 2020 - Elsevier
Our works frequently examine the emission of pollutants and the prediction of the thermal
efficiency of boilers from power plants. Power plant systems are strongly coupled. Thus …

[HTML][HTML] Retrospective analysis of the accuracy of predicting the alert level of COVID-19 in 202 countries using Google Trends and machine learning

Y Peng, C Li, Y Rong, X Chen, H Chen - Journal of global health, 2020 - ncbi.nlm.nih.gov
Background Internet search engine data, such as Google Trends, was shown to be
correlated with the incidence of COVID-19, but only in several countries. We aim to develop …