Search Results - (( java application learning algorithm ) OR ( parameter control chart algorithm ))
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A proposed variable parameter control chart for monitoring the multivariate coefficient of variation
Published 2019“…An efficient process monitoring system is important for achieving sustainable manufacturing. The control charting technique is one of the most effective techniques to monitor process quality. …”
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Article -
2
Fiducial registration error as a statistical process control metric in image-guidance radiotherapy with fiducial markers
Published 2011“…A procedure for estimating control parameters of a SPC control chart (x-chart) from a small number of initial observations (N) of FRE was implemented. …”
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3
Development Of Two New Auxiliary Information Control Charts, And Economic And Economic-Statistical Designs Of Several Auxiliary Information Control Charts
Published 2020“…Control charts with auxiliary characteristics have been shown to be more efficient than control charts without such characteristics. …”
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Thesis -
4
Computer control of batch process plant (software development)
Published 1995“…The optimums PID parameters obtain arc being expected to be implement on the computer control of batch process plant software based on the real-time Proportional, Integral and Derivative (PID) algorithms. …”
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Student Project -
5
Monitoring the coefficient of variation using a variable sample size EWMA chart
Published 2018“…Tables of optimal charting parameters are also provided. Next, the performance of the proposed chart is compared with five existing CV charts in the literature. …”
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6
Improving the synthetic coefficient of variation chart by incorporating side sensitivity
Published 2024“…Algorithms to obtain optimal chart parameters are also formulated. …”
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7
Fault diagnostic advisory system using moving-range chart and hazard operability study.
Published 2007“…PlantTM stimulator. Moving-Range (x-MR) Chart and (HAZOP) study were used to define the causes and consequences of process deviation based on selected parameter for each study node. …”
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Fault diagnostic advisory system using moving-range chart and hazard operability study
Published 2007“…PlantTM simulator. Moving-Range (x-MR) Chart and HAZOP study were used to define the causes and consequences of process deviation based on selected parameter for each study node. …”
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10
Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis
Published 2004“…The Expectation Maximization (EM) algorithm is utilized to obtain the estimate of the parameters in the models. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
13
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
14
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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15
Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
16
Efficient energy Management in Industrial Sector
Published 2019“…PSO algorithm in Matlab optimize the energy usage by improving load factor of each of the motor. …”
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Final Year Project -
17
AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Article -
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Thesis
