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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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Conference or Workshop Item -
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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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Citation Index Journal -
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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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Citation Index Journal -
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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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Thesis -
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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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Article -
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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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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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Message based random variable length key encryption algorithm.
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Article -
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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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Thesis -
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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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Quantification of Methanol-Water Mixture Ultrasonic Cavitation Event
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Final Year Project -
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A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron
Published 2017“…A comparative study between these two algorithms was conducted via experimental approach. …”
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Article -
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A semi-automated requirements prioritisation technique for scalable requirements with stakeholder quantification and prioritisation
Published 2019“…Although, the useful of the existing RP and SQP techniques, a close look discloses that these techniques face key challenges with respect to the scalability, shortage of SQP process, lack of low SQP implementation detail with respect to the non-existence of attributes measurement criteria and heavily need of highly professional human intervention in quantifying and prioritising the participating stakeholders and specifying priority value of each requirement in RP process, and lack of automation along time consumption in performing the SQP and RP processes. …”
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Thesis