Search Results - (( model evaluation method algorithm ) OR ( panel evaluation model algorithm ))
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Modeling and analysis of the impact of information and communication technology on household consumption expenditure in different regions
Published 2022“…Based on the panel data of cities and towns in China, by using the generalized estimation method of a dynamic panel, through the construction of regional household consumption expenditure evaluation models, optimize the impact evaluation algorithm of household consumption expenditure in different regions, standardize critic indicators, and build the impact modeling of household consumption expenditure in combination with relevant algorithms such as the Engel coefficient. …”
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2
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
Published 2023“…This paper aims to evaluate the different models used to analyze different aspects of solar radiation in the Palestinian territories. …”
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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
Published 2013“…This paper aims to evaluate the different models used to analyze different aspects of solar radiation in the Palestinian territories. …”
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Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm
Published 2023“…The solar sites will be evaluated based on their annual average solar irradiation and the optimal tilt angle and orientation angle for solar panel at the solar sites can be estimated using the computational model. …”
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Final Year Project / Dissertation / Thesis -
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Acoustic Performance Study Of 3d Printed Micro-Perforated Panel
Published 2021“…The capture images were processed in graph-cut image segmentation algorithm. The circularity of each hole is measured using the processed images and evaluated based on the probability outcomes of specified circularities. …”
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Monograph -
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2013“…The results of single-diode and two-diode models are evaluated in order to ascertain which of them are more accurate. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023“…The results of single-diode and two-diode models are evaluated in order to ascertain which of them are more accurate. …”
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Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
Published 2013“…Further experimental setup was carried out for comparative evaluation and the MPPT algorithm was implemented to performance verification of the algorithm by using digital signal processor (TMS320F28335). …”
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Thesis -
9
The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
“…The evaluation of skateboarding tricks is commonly carried out subjectively through the prior experience of the panel of judges during skateboarding competitions. …”
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Research on College Students' Classroom Learning Based on Informatization to Promote English Education System in China
Published 2023“…Following the preprocessing of the dataset with the Hidden Markov Model (HMM) Stemming Algorithm and the application of information technology with the Radial Basis Coherent Deep Neural Network (RBCDNN), the dataset is evaluated for statistical significance with the Panel Unit Test and the Housman test. …”
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Development of a systematic method in lean tool selection for automotive industry
Published 2012“…Furthermore, based on the results of the current research, a modified VIKOR method was developed. It is noteworthy to state that the suggested model for lean tool selection (defined in software) was validated within a panel of experts and companies indicating the effectiveness and usefulness of the model. …”
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Thesis -
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Automated calibration of baseline model for energy conservation using multi-objective Evolutionary Programming (EP) / Ahmad Amiruddin Mohammad Aris
Published 2019“…The MOEP objective function is set to minimize the difference between simulated and measured energy consumption considering human thermal comfort in the building by using sum-weighted decision technique. To evaluate the accuracy of building energy model, hourly criteria for Normalized Mean Biased Error (NMBE) and Coefficient of Variance Root Mean Squared Error (CV(RMSE)) as proposed by the IPMVP are used. …”
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13
Analysis of photovoltaic panels performance and power output forecasting based on optimized deep learning technique / Muhammad Naveed Akhter
Published 2021“…Moreover, Salp Swarm Algorithm (SSA) is used to tune the hyperparameters of the developed deep learning method on an annual basis over four years to enhance its forecasting accuracy and is compared with RNN-LSTM, GA-RNN-LSTM, and PSO-RNN-LSTM. …”
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Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting
Published 2013“…These algorithms include equal�weights combination of Best NN models, combination of trimmed forecasts, combination through Variance-Covariance method and Bayesian Model Averaging. …”
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Thesis -
16
Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems
Published 2018“…This paper elaborates a comprehensive overview of a photovoltaic (PV) system model, and compares the attributes of various conventional and improved incremental conductance algorithms, perturbation and observation techniques, and other maximum power point tracking (MPPT) algorithms in normal and partial shading conditions. …”
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A Combinatorial Optimisation of Rater Allocation (Cora): A Discrete Algebraic Formalism for Round-Robin Scheduling In High-Stakes Speaking Assessment
Published 2026conference output::conference proceedings::conference paper -
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Unifying the evaluation criteria of many objectives optimization using fuzzy Delphi method
Published 2021“…Thus, unify a set of most suitable evaluation criteria of the MaOO is needed. This study proposed a distinct unifying model for the MaOO evaluation criteria using the fuzzy Delphi method. …”
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Predictive analysis of porous media–cooled photovoltaic panels using gradient-boosting machine learning models
Published 2026“…This study develops a robust machine learning framework to predict the temperature and power output of PV panels cooled with porous media. Four advanced gradient-boosting algorithms, CatBoost, XGBoost, LightGBM, and GBM, were evaluated using five progressively complex models that incorporate key cooling parameters: solar radiation, channel height, coolant type, porosity, flow rate, and ambient conditions. …”
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Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty
Published 2017“…For this aim, a multi-objective facility location allocation model is proposed. In this case, an integrated BDA and epsilon constraint method are proposed and it is shown that how Pareto points in multi-objective facility location model can be found. …”
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