Search Results - (( processes identification method algorithm ) OR ( variable detection method algorithm ))
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1
Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…System identification is a method of determining a mathematical relation between variables and terms of a process based on observed input-output data. …”
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Article -
2
Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC)
Published 2006“…Results showed that the developed FDD algorithm successfully detect and diagnosed the pre-designed faults. …”
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Monograph -
3
DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION
Published 2018“…As a result, this project puts an emphasis on the stiction detection methods in the research areas of process control. …”
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Final Year Project Report / IMRAD -
4
An Automated Method For Model-Plant Mismatch Detection And Correction In Process Plants Employing Model Predictive Control (MPC)
Published 2012“…Detection methods using partial correlation analysis as well as other methods have been developed, but these are qualitative methods that does not indicate the extent of the mismatch clearly and whether or not corrective action is necessary. …”
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Final Year Project -
5
Modelling of cupping suction system based on system identification method
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Conference or Workshop Item -
6
An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa
Published 2018“…This research proposes a method for automatic detection of WMH in white matter (WM) tissue for MRI images. …”
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Book Section -
7
Fault detection and diagnosis using rule-based support system on fatty acid fractionation column
Published 2003“…Process history based methods (rule-based feature extraction) is used to implement the FDD rule-based support system. …”
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8
Video surveillance: explosion detection
Published 2025“…By leveraging three motion-based variables, including motion ratio, new pixel ratio and optical flow values, together with three detection approaches, namely global detection, non-eroded detection and eroded detection, the system demonstrates the effectiveness of motion based methods in detecting explosions at an early stage with acceptable performance. …”
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Final Year Project / Dissertation / Thesis -
9
Iris segmentation and normalization approach
Published 2008“…Iris is located by using a variable parameter binning approach. The algorithm is tested using iris images from CASIA database and MMU database. …”
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10
An improved machine learning model of massive Floating Car Data (FCD) based on Fuzzy-MDL and LSTM-C for traffic speed estimation and prediction
Published 2023“…In the third method, a hybrid algorithm called LSTM-C-EST, which is a combination of Fuzzy-MDL and LSTM-C is proposed. …”
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Thesis -
11
Effect of mixing time and frequency-domain objectives in detecting problematic vibration on unmanned aerial vehicles via barnicle mating optimization
Published 2024“…Problematic vibration detection from Unmanned Aerial Vehicles (UAVs) as a flaw detection and identification (FDI) method has become a viable instrument for evaluating the health and condition of a UAV. …”
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Conference or Workshop Item -
12
Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis
Published 2011“…So,this optimization method can help to save time and cost of the process. …”
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Thesis -
13
Oil palm female inflorescences anthesis stages identification using selected emissivities through thermal imaging and Machine Learning
Published 2022“…The proposed detection system capable of rapid and accurate screening and identification of oil palms inflorescences can be applied.…”
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Thesis -
14
Feature Ranking Techniques For 3D ATS Drug Molecular Structure Identification
Published 2018“…Furthermore, with the constantly emerging of the new ATS drugs design into the illicit market, it serves as a challenge to the comprehensive analytical method to detect and validate these compounds. This research is aimed to propose a computational intelligence approach in assisting the analysis phase of ATS drug identification process. …”
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Thesis -
15
Tree species and aboveground biomass estimation using machine learning, hyperspectral and LiDAR data / Nik Ahmad Faris Nik Effendi
Published 2022“…However, the identification process of tree species and AGB estimation in tropical forest is quite challenging either by traditional or remote sensing methods due to the structure of forest type. …”
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16
Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…We then develop a new algorithm to address the summarizing strategies identification problem. …”
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17
Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…The results obtained from the simulation study and real data sets indicate that the proposed method possesses high detection power with minimal misclassification error compared to the MRCD and MDP methods. …”
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18
Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. …”
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19
Evapotranspiration prediction using system identification and genetic algorithm
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Working Paper -
20
Comparing seabed roughness result from QPS fledermaus software, benthic trrain modeler [BTM] and developed model derived FRM slope variability algorithm for hard coral reef detecti...
Published 2018“…In this study, several models has been created which are from QPS Fledermaus model, BTM model and Slope Variability model. Slope variability model is an algorithm that is being used for detecting terrain roughness. …”
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