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Development of Quantification Algorithm for Control Valve Stiction
Published 2009“…In this paper, Neural-network techniques are investigated in the development of a quantification algorithm for control valve stiction. It is shown that in the presence of a well-tuned controller, satisfactory performance of the proposed Neural-network based quantification algorithm can be achieved.…”
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NN-based algorithm for control valve stiction quantification
Published 2009“…In this paper, a Neural-network based stiction quantification algorithm is developed. It is shown that the performance of the proposed quantification algorithm is comparable to other method whereby accurate estimation of the stiction amount can be achieved even in the presence of random noise. …”
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NN-based algorithm for control valve stiction quantification
Published 2009“…In this paper, a Neural-network based stiction quantification algorithm is developed. It is shown that the performance of the proposed quantification algorithm is comparable to other method whereby accurate estimation of the stiction amount can be achieved even in the presence of random noise. …”
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5
Diagnosis of Poor Control Loop Performance: Investigate Support Vector Regression Method on Stiction Quantification for Control Valve Nonlinearity
Published 2016“…This technique is less explored and very rarely applied in stiction quantification. A proper algorithm has been introduced for the SVR based stiction quantification. …”
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Final Year Project -
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Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach
Published 2022“…In addition, a new image clustering algorithm anticipates the need for largescale serial and parallel processing. …”
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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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A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification
Published 2020“…Based on the 15 benchmark industrial loops with stiction, the proposed BSD-CNN quantification algorithm has shown reasonable accuracy when compared to other published quantification methods in literature. …”
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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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Retinal image blood vessel extraction and quantification with Euclidean distance transform approach
Published 2020“…The significantly high accuracy in this newly developed vessel diameter quantification algorithm indicates excellent potential for further development, evaluation, validation, and integration into ophthalmic diagnostic instruments.…”
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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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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…The objectives of the study included designing soil desiccation experiment setup for desiccation crack image acquisition, evaluating crack imaging analysis based on deep learning algorithms, and quantifying desiccation cracks through image processing techniques. …”
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Final Year Project / Dissertation / Thesis -
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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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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AUTOMATED MALARIA PARASITE QUANTIFICATION OF THIN BLOOD SMEAR
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Final Year Project -
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Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom
Published 2024“…However, the accuracy of quantification depends on various factors. Using phantom measurements, this multi-vendor and multi-center study evaluated the quantitative accuracy and inter-system variability of different SPECT/CT systems, as well as the impact of patient size, processing software and reconstruction algorithms on recovery coefficients (RC). …”
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Monograph -
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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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