Keresés
1 találatból megjelenítve: 1-19
Cím: Evaluation of time series models in simulating different monthly scales of drought index for improving their forecast accuracy
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Drought is regarded as one of the most intangible and creeping natural disasters, which occurs in almost all climates, and its characteristics vary from region to region. The present study aims to investigate the effect ...
Cím: Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed
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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: A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques
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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: A Recommendation System Based on AI for Storing Block Data in the Electronic Health Repository
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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
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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: A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads
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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: Energetic thermo-physical analysis of MLP-RBF feed-forward neural network compared with RLS Fuzzy to predict CuO/liquid paraffin mixture properties
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Dynamic viscosity of novel generated Copper Oxide (CuO)/Liquid Paraffin nanofluids is obtained experimentally for various temperatures and concentrations. To optimize the empirical process and for cost-efficiency, Feed-Forward ...
Cím: Efficacy of applying discontinuous boundary condition on the heat transfer and entropy generation through a slip microchannel equipped with nanofluid
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
In this study, the laminar nanofluid flow in the microchannel with a discontinuous boundary condition was investigated. Considering the slip condition, heat transfer and entropy generation were studied. Different layouts ...
Cím: Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid ...
Cím: Feasibility of Random Forest and Multivariate Adaptive Regression Splines for Predicting Long-Term Mean Monthly Dew Point Temperature
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Results: As a result, the GSVMA hybrid method performs better than other methods. This proposed method has the highest accuracy of 89.45% through a 10-fold crossvalidation technique with 31 selected features on the Z-Alizadeh ...
Cím: Novel approach for estimation of sediment load in dam reservoir with hybrid intelligent algorithms
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Methods: Hence, this paper provides a new hybrid machine learning model called genetic support vector machine and analysis of variance (GSVMA). The analysis of variance (ANOVA) is known as the kernel function for the SVM ...
Cím: Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Detection and Classification of a brain tumor is an important step to better understanding its mechanism. Magnetic Reasoning Imaging (MRI) is an experimental medical imaging technique that helps the radiologist find the ...
Cím: Accurate brain tumor detection using deep convolutional neural network
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Detection of relationship between two time series is so important in different scientific fields. Most common techniques are usually sensitive to stationarity or normality assumptions. In this research, a new copula-based ...
Cím: Comparison of the efficacy of particle swarm optimization and stochastic gradient descent algorithms on multi-layer perceptron model to estimate longitudinal dispersion coefficients in natural streams
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Union’s General Data Protection Regulation (GDPR). The analysis focuses on the applicability of the ‘data protection by design’ principle during the development of such systems. Because blockchain-based networks are built ...
Cím: Colonial competitive evolutionary Rao algorithm for optimal engineering design
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Pipelines are the safest tools for transporting oil and gas. However, the environmental effects and sabotage of hostile people cause corrosion and decay of pipelines, which bring financial and environmental damages. Today, ...
Cím: When Smart Cities Get Smarter via Machine Learning: An In-depth Literature Review
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
The main aim of the study is to investigate the growth of oyster mushrooms in two substrates, namely straw and wheat straw. In the following, the study moves towards modeling and optimization of the production yield by ...
Cím: Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
The present study focused on the development, optimization, and performance evaluation of a harvesting robot for heavyweight agricultural products. The main objective of developing this system is to improve the harvesting ...
Cím: An integrated GIS-based multivariate adaptive regression splines-cat swarm optimization for improving the accuracy of wildfire susceptibility mapping
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Dátum: 2023
Feltöltve: 2023-06-23
(2023)
A hybrid machine learning method is proposed for wildfire susceptibility mapping. For modeling a geographical information system (GIS) database including 11 influencing factors and 262 fire locations from 2013 to 2018 is ...
Cím: Oil Family Typing Using a Hybrid Model of Self-Organizing Maps and Artificial Neural Networks
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Dátum: 2022
Feltöltve: 2023-04-05
(2022)
Identifying the number of oil families in petroleum basins provides practical and valuable information in petroleum geochemistry studies from exploration to development. Oil family grouping helps us track migration pathways, ...