Search Results - (( data normalization _ algorithm ) OR ( parameter validation study algorithm ))

Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

“…Thus, this study proposes the development of algorithms to detect and classify jamming attacks using a set of parameters on the physical layer and MAC in MANET. …”
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Confidence intervals (CI) for concentration parameter in von Mises distribution and analysis of missing values for circular data / Siti Fatimah binti Hassan by Hassan, Siti Fatimah

“…In this study, three imputation methods are considered namely expectation-maximization (EM) algorithm and data augmentation (DA) algorithm. …”
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Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia by Jumin E., Basaruddin F.B., Yusoff Y.B.M., Latif S.D., Ahmed A.N.

Surface Moisture Content Retrieval from Visible/Thermal Infrared Images and Field Measurements by Abdalla HASSABALLA, Abdalhaleem, MATORI , Abdul Nasir, Mohd SHAFRI, Helmi Zulhaidi

“…Moisture content parameters were calculated, and then the moisture content algorithm was generated accordingly for the two study locations with three different “Split-window” algorithms and finally a spatial validation of satellite θ algorithms was conducted for accuracy assessment. …”
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Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Ahmad Salihin, Samsudin, Amir Izzani, Mohamed, Mohd Mawardi, Saari

“…Three distinct metaheuristic algorithms were investigated: Barnacles Mating Optimizer (BMO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA), each integrated with CatBoost to optimize critical parameters including learning rate, tree depth, regularization, and bagging temperature. …”
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Statistical performance of agglomerative hierarchical clustering technique via pairing of correlation-based distances and linkage methods by Nurshaziana, Mohamad Shamsuri

“…To validate the clustering model on real data, the Spearman-average algorithm was applied to cluster Juru river basin data based on five water quality parameters. …”
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Spectral discrimination and index development of roofing materials and conditions using field spectroscopy and worldview-3 satellite image by Samsudin, Sarah Hanim

“…Spectral index of NDCCI and NDMCI found to be effective in providing roof degradation status map in effective time-manner and parameter-free algorithm compared to normal supervised classification scheme. …”
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A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm by Masood, Kamal

“…Continuum damage mechanics approach is applied to develop damage expression as a continuously damage-accumulative function in terms of fatigue parameter. Genetic algorithm is also applied for the calibration of proposed model in terms of calibrated coefficients. …”
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Finite element modeling and updating for dynamic study of exhaust structure by M. S. M., Fouzi, M. S. M., Sani

“…Due to disagreement between numerical result and experimental data in correlation process, the FE model has been updated using SOL200 algorithm. …”
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PSO modelling and PID controlled of automatic fish feeder system by W Mahmud, Wan Muhammad Azlan

“…In this study, raw data at distribution part with speed of 130 rpm, 160 rpm, 190 rpm, 220 rpm and 250 rpm were extracted and used to determine ARX equation parameters as transfer function by using PSO algorithm to optimize ARX model parameter. …”
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Estimating Crack Effects on Electrical Characteristics of PV Modules Based on Monitoring Data and I-V Curves by Feng L., Zhang J., Kiong T.S., Ding K., Amin N., Hamelmann F.U.

“…Meanwhile, an innovative parameter optimization algorithm based on particle swarm optimization is developed to extract the parameters. …”

Modeling The Modified Internal Rate Of Return (Mirr) For Long-Term Investment Strategy By The Assumption Of Gamma Distribution by Sayed, Amani Idris A

“…The study analyzes data from 62 publicly listed Malaysian property businesses spanning the period from 2008 to 2019. …”
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Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques by Googhari, Shahram Karimi

“…Cross validation of training and validation data sets was also considered to obtain the best data set. …”
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Determination of tree stem volume : A case study of Cinnamomum by Noraini Abdullah

“…Non-normal and nonlinear data variables are addressed, hence data characterization is presented. …”
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Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region by Fanos, Ali Mutar

“…Mechanical parameters (coefficients of restitution tangential (Rt) and normal (Rn) and friction angle) were considered to be crucial for rockfall modelling. …”
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Pemodelan data indeks komposit Kuala Lumpur menggunakan neurofuzzy by Mohd. Yunos, Zuriahati

“…The pre-process methodology includes splitting, scaling, normalization, feature selection, and follows by the Ten-Fold Cross Validation method as a benchmark for estimating the predictive accuracy and effectiveness of splitting and selecting the input data. …”
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Optimization of solenoid driver and controller for gaseous fuel high-pressure direct injector using model-based approach by Mohamad Hafidzul Rahman, Alias

“…An optimization study was conducted using Normal Boundary Intersection (NBI) algorithm in MATLAB Model-Based Calibration (MBC) Toolbox to produce an optimal injector setup. …”
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Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property by Jahanshiri, Ebrahim

“…A complete data analysis was carried out on the datasets. Furthermore, various spatial, temporal and spatio-temporal neighbourhood and weighting schemes, optimization algorithms and lag and error modelling scenarios were created and tested with the data. …”
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Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

“…The optimization of the input parameters for CO2 photoconversion was comprehensively validated using the predicted and experimental data. …”
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Oil palm maturity classifier using spectrometer and machine learning by Goh, Jia Quan

“…Each bunch was scanned at its different parts including apical, front equatorial, front basil, back equatorial and back basil. The reflectance data from these five parts was analyzed using statistical method and machine learning algorithm. …”
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