Search Results - (( water distribution rate algorithm ) OR ( parametric classification based algorithm ))
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Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…The second stage involved assessing the spatial resolution effect through utilizing Landsat 8 (30 m) and Sentinel (10 m) data on LCM accuracy using SVM, K-Nearest Neighbor (K-NN), Random Forest (RF), and Neural Network (NN) algorithms. Based on the concluding overall analysis, the classification accuracy derived from Sentinel 2 imagery utilizing SVM and RF, Landsat 8 applying SVM donated higher than other methods of classification. …”
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Thesis -
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Nearest neighbour group-based classification
Published 2010“…In this paper, we extend three variants of the nearest neighbour algorithm to develop a number of non-parametric group-based classification techniques. …”
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Validation on an enhanced dendrite cell algorithm using statistical analysis
Published 2017“…In this study, we evaluated the performance of the enhanced algorithm called dendrite cell algorithm using sensitivity, specificity, false positive rate, and accuracy and validated the result using parametric and non parametric statistical significant tests. …”
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Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…The experimental results are also thoroughly evaluated and verified via non-parametric statistical analysis. Based on the obtained experimental results, the OGC, DPSO, and VDEO frameworks achieved an average enhancement up to 24.36%, 9.38%, and 11.98% of classification accuracy, respectively. …”
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Novel voice activity detection based on cepstrum moments
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Conference or Workshop Item -
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Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems
Published 2021“…Water Distribution Systems (WDS) are now controlled and monitored by computational systems, constituting the primary management challenge from both an operational and public health standpoint. …”
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Development of compound clustering techniques using hybrid soft-computing algorithms
Published 2006“…Previously, there is limited work on the clustering and classification of biologically active compounds into their activity based classes using fuzzy and neural network. …”
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Monograph -
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Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms
Published 2020“…In this study, 30 m Landsat 8 data were processed using a cloud computing platform of Google Earth Engine (GEE) in order to classify oil palm land cover using non-parametric machine learning algorithms such as Support Vector Machine (SVM), Classification and Regression Tree (CART) and Random Forest (RF) for the first time over Peninsular Malaysia. …”
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Hybrid conjugate gradient using exact line search in photovoltaic system / Muhammad Ariiq Iqbaal Azizul Firdaus
Published 2025“…Various studies have been undertaken by implementing the CG method in image restoration, optimal rocket landing guidance and motion control field. There are a few classifications of CG method such as classical, hybrid, three-term and parametric CG methods. …”
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Thesis -
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Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant
Published 2009“…Neuro-fuzzy approach trained by a sequence of optimization algorithms-Particle Swarm Optimization (PSO) followed by Back-Propagation (BP)-is used to develop models for the steam drum pressure, steam drum water level, steam flow rate and chilled water supply temperature. …”
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Conference or Workshop Item -
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Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique
Published 2007“…The model is based on the bivariate normal distribution of the skin chromatic subspace. …”
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Computational analysis of biological data: Where are we?
Published 2024“…Using computational modeling, classification algorithms can be applied to microarray and RNA sequencing data (such as hierarchical clustering - HCL, t-SNE and principal component analysis - PCA), and high-resolution images can be generated based on the analyzed data and patient samples. …”
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Book Chapter -
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…The Whale Optimisation Algorithm (WOA), Harris Hawks Optimisation (HHO) Algorithm, Lévy Flight WOA (LFWOA) and the Opposition-Based Learning of HHO (OBL-HHO) were proposed to simulate the initial model’s response and optimise the Klang Gate Dam (KGD) release operation with observed inflow, water level (storage), release, and evaporation rate (loss). …”
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Final Year Project / Dissertation / Thesis -
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Investigate the Relation between Particle Size Distribution (PSD) Using Image Analysis Method and Chemical Oxygen Demand (COD) In POME Sample
Published 2015“…Chemical Oxygen Demand (“after this will be mentioned as COD”) represents total organic solvent in the wastewater and also amount of oxygen needed by the microorganism to oxidize the organic carbon completely to carbon dioxide, water and ammonia. Particle Size Distribution (“after this will be mentioned as PSD”) generally will affect the settling velocity, rate of sedimentation, flocculation, coagulation and absorption of organic compound. …”
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Final Year Project -
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Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment
Published 2024“…The leakage fault cases verify the algorithm�s applicability and complete the correlation diagnosis of water wall leakage fault. …”
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Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid
Published 2022“…The model fit and residual distribution have also been analysed for this model.…”
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Thesis -
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Multi-objective optimization of a three-fluid hollow fiber membrane dehumidifier for energy-efficient drying applications
Published 2025“…Two conflicting objectives, energy transfer across membrane column (Emc) and vapor removal rate (υVRR), were optimized utilizing the NSGA-II algorithm and fuzzy clustering with weighted cumulative probability distribution (FC-WCPD). …”
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