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Sina Ardabili

Researcher at University of Mohaghegh Ardabili

Publications -  86
Citations -  2989

Sina Ardabili is an academic researcher from University of Mohaghegh Ardabili. The author has contributed to research in topics: Adaptive neuro fuzzy inference system & Computer science. The author has an hindex of 24, co-authored 70 publications receiving 1835 citations. Previous affiliations of Sina Ardabili include University of Tabriz & Óbuda University.

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State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

TL;DR: There is an outstanding rise in the accuracy, robustness, precision and generalization ability of the ML models in energy systems using hybrid ML models.
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Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

TL;DR: This paper aims to present a comprehensive survey about the application of CI-based methods in FMSs and identifies and introduces the most promising approaches nowadays with respect to the accuracy and error rate for flood debris forecasting and management.
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COVID-19 outbreak prediction with machine learning

TL;DR: A comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to susceptible–infected–recovered (SIR) and susceptible-exposed-infectious-removed (SEIR) models suggests machine learning as an effective tool to model the outbreak.
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Computational intelligence approach for modeling hydrogen production: a review

TL;DR: A clean energy source with a relatively low pollution footprint, hydrogen does not exist in nature as a separate element but only in compound forms as mentioned in this paper, and hydrogen is produced in the USA.
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Experimental and computational fluid dynamics-based numerical simulation of using natural gas in a dual-fueled diesel engine

TL;DR: In this paper, investigations were performed on a dual-fueled constant-speed engine and the emissions and performance of a diesel engine were investigated, and after moving to the dual fuel, the performance of the engine was improved.