Search Results - water estimation ((((method algorithm) OR (sensor algorithm))) OR (path algorithm))
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Development of real-time navigation system by using pure pursuit guidance for unmanned surface vehicle
Published 2024“…The Pure Pursuit algorithm works by focusing on the nearby path relative to the USV's position, guiding it with steering directions based on its current position and orientation. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…These algorithms are inspired by the estimation capability of the well-known Kalman filter estimation method. …”
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Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques
Published 2022“…The Spearman’s rank correlation obtained between water level measured by the sensor and water level estimated from the proposed framework was 0.92 which indicates a strong relationship. …”
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Chlorophyll-A Estimation from Remotely Sensed Data
Published 2000“…Concentrations of chlorophyll-a in water have been estimated from the spectral distribution of back-scattered light, related to reflectance. …”
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Method of Moment Analysis Using Open-Ended Coaxial Sensor in Determination of Corn Reflection Coefficient
Published 2010“…So finally, their algorithms are easily programmable on computer. The computation of reflection coefficient of the corn was programmed using MATLAB software for the admittance approach and Method of Moment (MOM). …”
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Sub-pixel analysis to enhance the accuracy of evapotranspiration determined using MODIS images
Published 2017“…Images from both Terra and Aqua platforms of the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor were used for ET estimation by employing the Surface Energy Balance Algorithm for Land (SEBAL) model. …”
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Model selection approaches of water quality index data
Published 2016“…In order to select the best model, it is vital to ensure that proper estimation method is chosen in the modelling process.Different estimators have been proposed for the estimation of parameters of a model, including the least square and iterative estimators.This study aims to evaluate the forecasting performances of two algorithms on water quality index (WQI) of a river in Malaysia based on root mean square error (RMSE) and geometric root mean square error (GRMSE).Feasible generalised least squares (FGLS) and iterative maximum likelihood (ML) estimation methods are used in the algorithms, respectively.The results showed that SUREMLE-Autometrics has surpassed SURE-Autometrics; another simultaneous selection procedure of multipleequation models.Two individual selections, namely Autometrics-SUREMLE and Autometrics-SURE, though showed consistency only for GRMSE.All in all, ML estimation is a more appropriate method to be employed in this seemingly unrelated regression equations (SURE) model selection.…”
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UV-vis spectrophotometric and artificial neural network for estimation of ammonia in aqueous environment using cobalt(II) ions
Published 2024“…The proposed ANN electronic sensor shows promise for NH3 estimation in unknown water samples based on pattern recognition.…”
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Multiple equations model selection algorithm with iterative estimation method
Published 2016“…This estimation method is equivalent to maximum likelihood estimation at convergence. …”
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Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid
Published 2020“…The objectives are (1) to estimate water depth from Spot 7 satellite image using Ratio Transformation Algorithm and (2) to assess estimated water depth with In-Situ data measurement. …”
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Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani
Published 2019“…Previous method which employs per capita water consumption (PCC) basically finding average of water consumption in different state of Malaysia which-is largely inaccurate. …”
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System and method for blending water.
Published 2008“…In addition, the method includes estimating at least one volume of water relevant to an amount of crop yield of the plurality of crops using an algorithm. …”
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Optimization of operational policies for the Minab Reservoir, Southern Iran
Published 2012“…Through the hedging rule optimization an algorithm was developed to determine the benefit of water release and the water conserved in the reservoir. …”
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Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah
Published 2019“…For the project, there are three objectives. Firstly, to estimate the concentration of the CDOM and chlorophyll at Marang sea using appropriate algorithms. …”
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Development of mapping methods for seagrass meadows in Malaysia by using landsat images
Published 2015“…The next study was focused on assessment of the geometric and radiometric fidelity of images reconstructed by three potential gap-filling methods: (1) Geostatistical Neighbourhood Similar Pixel Interpolator (GNSPI), (2) Weighted linear regression algorithm integrated with Laplacian prior regularization, and (3) Local Linear Histogram Matching methods. …”
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Identifying high influence parameters using Genetic Algorithm (GA) chromosomes for water consumption
Published 2021“…The aim is to minimize the residential water consumption estimation error rates and subsequently enabling increased accuracy towards estimating and classifying the amount of residential water consumption. …”
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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…An improved particle swarm algorithm (HPSOGA) is used to solve complex problems of water resources optimization. …”
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Prediction of Temerloh River water level for prediction of flood using Artificial Neural Network (ANN) method
Published 2015“…The research will be trained using back propagation method to estimate the flood water level at Temerloh River. …”
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