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78 results for “MAE”
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Research ArticleOpen accessIn the abstractMapping of Temperature Trend Slope in Iran′s Zayanderud River Basin: A Comparison of Interpolation MethodsAli Zahraei, Saeid Eslamian, Ali Saeidi Rizi et al.The spatial distribution of daily, nightly and mean temperature trend in Iran′s Zayanderud river basin was carried out in this study by applying three approaches of interpolation including Inverse Distance Weighting (IDW), Multiple Linear Regression (MLR) and integration of these two methods (IDW+MLR). In this paper, t-test and statistical measures including Mean Absolute Error (MAE), Root Mean Square Error (RMSE), … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 26 Jun 2019 · 7,470 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Comparison of Passive Fault Tolerant Control Strategy with PI and Fuzzy Control of Single-Tank Level Process with Sensor and System FaultHimanshukumar R. Patel, Vipul A. ShahFault-Tolerant Control (FTC) strategy has gain maximum attention in recent years in chemical industries due to economical and safety hazards perspective. Targeting at the decreasing control performance of the single-tank level control process under the constraint of system and sensor faults, this article presents model-based Passive Fault-Tolerant Control (PFTC) strategy which are based on conventional and artificial intelligence control. The … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 24 Jun 2019 · 7,598 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Microwave-Assisted Extraction of a Bioherbicide from Canavalia ensiformis LeavesDarlan Ferreira Silva, Eduardo Bessa Azevedo, Maria Olímpia Oliveira RezendeThe objective of this study was to optimize the operational conditions of the Microwave-Assisted Extraction (MAE) of Canavalia ensiformis leaves by Response Surface Methodology (RSM), based on analysis of phenolic compounds obtained from the aqueous extracts. Optimal conditions for MAE were temperature of 100°C, extraction time of 10 min and ramp of temperature of 5 min, using approximately 2 g … …American Journal of Environmental Sciences, Vol. 12, Issue 1 · 29 Feb 2016 · 7,612 accessesView PDFCite
Research ArticleOpen accessIn the abstractHIDDEN MARKOV MODELS WITH COVARIATES FOR ANALYSIS OF DEFECTIVE INDUSTRIAL MACHINE PARTSPornpit Sirima, Premysl PokornyMonthly counts of industrial machine part errors are modeled using a two-state Hidden Markov Model (HMM) in order to describe the effect of machine part error correction and the amount of time spent on the error correction on the likelihood of the machine part to be in a &#34defective&#34 or &#34non-defective&#34 state. The number of machine parts errors were collected … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 26 Jul 2014 · 6,859 accessesView PDFCite
Research ArticleOpen accessIn the abstractMICROWAVE-ASSISTED EXTRACTION OF PHENOLIC ANTIOXIDANTS FROM SEMIARID PLANTSJorge E. Wong-Paz, Juan C. Contreras-Esquivel, Diana Muñiz-Marquez et al.Microwave-Assisted Extraction (MAE) kinetic in three temperatures was investigated for extraction of antioxidant phenolic compounds from Jatropha dioica, Flourensia cernua, Eucalyptus camaldulensis and Turnera diffusa which are plants of semiarid regions of Mexico. The two-site kinetic model and saturation simple equation were used to describe the experimental data. The fit of the data demonstrated that saturation simple equation was better … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 3 · 22 Mar 2014 · 7,609 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing of Box-Benken Method to Predict the Compressive Strength of Self-Compacting Concrete Containing Wadi Musa Bentonite, JordanArabi N.S. AL Qadi, Mahmoud B.A. ALhasanat, Ahmad AL Dahamsheh, Sleiman AL ZaiydneenThis research presents application of Box-benken design method to develop model for predicting 28 days compressive strength of Self-Compacting Concrete (SCC) with partial replacement of cement with Wadi Musa bentonite, Jordan for which the data of 15 mixtureshave been tested and preparedat the laboratory of AL Hussien Bin Talal University. The use of Bentonite as filler materials in self-compacting concrete … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 27 May 2016 · 8,182 accessesView PDFCite
Research ArticleOpen accessIn the abstractMISSING DATA IMPUTATION USING WEIGHTED OF REGIME SWITCHING MEAN AND REGRESSIONJumlong Vongprasert, Bhusana PremanodeMissing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. The purpose of this work were first to develop the Weighted of Regime Switching Mean and Regression (WRSMRI) for missing data estimation and secondly to compare its efficiency of estimation and statistical power of a … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 3 May 2014 · 6,704 accessesView PDFCite
Research ArticleOpen accessIn the abstractDAILY CRUDE OIL PRICE FORECASTING MODEL USING ARIMA, GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTIC AND SUPPORT VECTOR MACHINESRana Abdullah Ahmed, Ani Bin ShabriCrude oil price forecasting is gaining increased interest globally. This interest is due mainly to the economic value attached to the product. For this reason, new forecasting methods are proposed in the literature. This paper proposes a novel technique for forecasting crude oil price based on Support Vector Machines (SVM). The study adopts the data on crude oil price of … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 11 Jan 2014 · 8,725 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Models for Time Series with Covariates, Trend, Seasonality, Autoregression and OutliersPitsanu Tongkhow, Nantachai KantananthaBayesian methods furnish an attractive approach to time series data analysis. This article proposes the forecasting models that can detect trend, seasonality, auto regression and outliers in time series data related to some covariates. Cumulative Weibull distribution functions for trend, dummy variables for seasonality, binary selections for outliers and latent autoregression for autocorrelated time series data are used for the … …Journal of Computer Science, Vol. 9, Issue 3 · 16 Apr 2013 · 6,653 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Age Estimation System based on Multi Linear Principal Component AnalysisV. Tamil Selvi, K. VaniProblem statement: Human age estimation is an active research topic in computer vision. A vital characteristic in establishing identity of the person is the age. Age estimation from face images continues to be an extremely challenging task compared to other cognition problems. Age is a crucial factor in ascertaining the identity of a person. Age is estimated from the human … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 6,480 accessesView PDFCite