Keresés
186 találatból megjelenítve: 1-10
Cím: Statistical Methods for Modeling the Compressive Strength of Geopolymer Mortar
Szerző: ; ; ; ;
Dátum: 2022
Feltöltve: 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 ...
Cím: A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques
Szerző: ; ; ; ; ;
Dátum: 2022
Feltöltve: 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 ...
Cím: Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed
Szerző: ; ; ; ; ;
Dátum: 2022
Feltöltve: 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 ...
Cím: Evaluating human versus machine learning performance in a legaltech problem
Szerző: ; ; ; ; ; ;
Dátum: 2022
Feltöltve: 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 ...
Cím: A comparison of the pulsating and steady jets on flow-induced vibrations and thermal behavior of a sprung cylinder inside an isothermal channel
Szerző: ; ; ;
Dátum: 2022
Feltöltve: 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 ...
Cím: A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads
Szerző: ; ; ; ; ;
Dátum: 2022
Feltöltve: 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 ...
Cím: Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation
Szerző: ; ; ; ;
Dátum: 2022
Feltöltve: 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 ...
Cím: A Recommendation System Based on AI for Storing Block Data in the Electronic Health Repository
Szerző: ; ; ; ; ;
Dátum: 2022
Feltöltve: 2022-04-11
(Frontiers Media S.A., 2022)
The proliferation of wearable sensors that record physiological signals has resulted in an exponential growth of data on digital health. To select the appropriate repository for the increasing amount of collected data, ...
Cím: Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
Szerző: ; ; ; ;
Dátum: 2022
Feltöltve: 2022-04-11
(Taylor and Francis Ltd., 2022)
The machine learning method of Adaptive Neuro-Fuzzy Inference System (ANFIS) is proposed as a data-driven technique to model the dew point temperature (DPT). The input patterns, of T min, T max, and T mean, are utilized ...
Cím: Intelligent Total Transportation Management System for Future Smart Cities
Szerző: ; ; ;
Dátum: 2020
Feltöltve: 2023-04-14
(2020)
Smart mobility and transportation, in general, are significant elements of smart cities, which account for more than 25% of the total energy consumption related to smart cities. Smart transportation has seven essential ...