Search
Now showing items 1-10 of 94
Title: Statistical Methods for Modeling the Compressive Strength of Geopolymer Mortar
Author: ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(MDPI, 2022)
In recent years, geopolymer has been developed as an alternative to Portland cement (PC) because of the significant carbon dioxide emissions produced by the cement manufacturing industry. A wide range of source binder ...
Title: Green Resources for Safety Improvement and Sustainable Landscape Design: The Case of a Dangerous Tehran-Dizin Road Bend
Author: ; ;
Date: 2022
Submitted: 2022-04-11
(MDPI, 2022)
Improving road safety is not only reliant on engineering aspects but also on the surrounding landscape, which plays an indispensable role in drivers’ visual perception. As a part of road landscapes, green areas affect road ...
Title: A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques
Author: ; ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(Elsevier Ltd, 2022)
Determination of pore pressure (PP), a key reservoir parameter that is beneficial for evaluating geomechanical parameters of the reservoir, is so important in oil and gas fields development. Accurate estimation of PP is ...
Title: The current and future potential geographical distribution of Nepeta crispa Willd., an endemic, rare and threatened aromatic plant of Iran: Implications for ecological conservation and restoration
Author: ; ; ; ; ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(Elsevier B.V., 2022)
Nepeta crispa Willd. is a very rare medicinal plant that grows in a very limited habitat in western Iran. In recent years, due to climate change, many plants have become endangered, which poses a very serious threat to ...
Title: Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed
Author: ; ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(Elsevier Ltd, 2022)
Estimating wind energy plays an important role in energy science as it can be considered a crucial source of renewable and sustainable energy. In this study, five types of soft computing approaches were implemented to ...
Title: Evaluating human versus machine learning performance in a legaltech problem
Author: ; ; ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(MDPI, 2022)
Many machine learning-based document processing applications have been published in recent years. Applying these methodologies can reduce the cost of labor-intensive tasks and induce changes in the company’s structure. The ...
Title: A comparison of the pulsating and steady jets on flow-induced vibrations and thermal behavior of a sprung cylinder inside an isothermal channel
Author: ; ; ;
Date: 2022
Submitted: 2022-04-11
(Elsevier Ltd, 2022)
In this paper, the effect of the pulsating jet from channel walls on the thermal and vibrational behavior of the elastically-mounted cylinder is examined. For the sake of comparison, the efficiency of the steady jet in ...
Title: A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads
Author: ; ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(Institute of Electrical and Electronics Engineers Inc., 2022)
This multilevel inverter type summarizes an output voltage of medium voltage based on a series connection of power cells employing standard configurations of low-voltage components. The main problems of cascaded ...
Title: Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation
Author: ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(Frontiers Media S.A., 2022)
Predicting evaporation is essential for managing water resources in basins. Improvement of the prediction accuracy is essential to identify adequate inputs on evaporation. In this study, artificial neural network (ANN) is ...
Title: Building a Production-Ready Multi-Label Classifier for Legal Documents with Digital-Twin-Distiller
Author: ; ; ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(MDPI, 2022)
One of the most time-consuming parts of an attorney’s job is finding similar legal cases. Categorization of legal documents by their subject matter can significantly increase the discoverability of digitalized court ...