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Diagnosis of Poor Control Loop Performance: Investigate Support Vector Regression Method on Stiction Quantification for Control Valve Nonlinearity by A/L Karuppiah, Yuveneshraj

“…The quantification technique for the valve stiction is very important aspect in process control. …”
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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 by Kamaruddin, B., Zabiri, H., Mohd Amiruddin, A.A.A., Teh, W.K., Ramasamy, M., Jeremiah, S.S.

“…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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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification by Ling, Hui Yean

“…Crack images obtained were processed and annotated to produce a dataset of 820 images for the training and testing of deep learning models. …”
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Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms by Bakar, Abubakar Diwani

“…The latest effort to solve this selection problem is the development of the metrics selection model that uses genetic algorithm (GA). However, the process failed to state clearly the encoding strategy in its initial stage. …”
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A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron by Hossain, M.S., Ong, Z.C., Ismail, Z., Khoo, S.Y.

“…Among various existing impact identification approaches, neural network based force identification method has received great attention because one does not need to have a system model. Thus, it is less likely to be affected by ill-posed problem that often occurs during the inversion process. …”
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Modelling of head movement in expression of disgust by Yusoff, Fakhrul Hazman

“…Head movement information can be acquired by video recording process. The recording process has to deal with image distortion correctable via plumb-line method. …”
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Gaussian process-based inversion: A new approach for estimating hydrocarbon parameters in controlled-source electromagnetic application by Muhammad Naeim, Mohd Aris, Hanita, Daud, Dass, Sarat Chandra, Nagaratnam, Shalini, Noryanti, Muhammad, Evizal, Abdul Kadir, Maharani, Warih

“…A Gaussian process (GP)-based inversion was proposed to allow for greater flexibility in modeling numerous forward solutions by calibrating the stochastic process with computer experiment responses to estimate hydrocarbon parameters (i.e., depth and electrical resistivity) in marine CSEM application. …”
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Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach by Mustaffar, Mushairry, Puan, O. C., Ling, Tung Chai

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Towards a multispectral imaging system for spatial mapping of chemical composition in fresh-cut pineapple (Ananas comosus) by Mollazade, Kaveh, Hashim, Norhashila, Zude-Sasse, Manuela

“…Prediction of chemical composition in each pixel of the multispectral images using the calibration models yielded spatially distributed quantification of the fruit slice, spatially varying according to the maturation of single fruitlets in the whole pineapple. …”
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Modelling COVID-19 Hotspot Using Bipartite Network Approach by Hong, Boon Hao, Labadin, Jane, Tiong, Wei King, Lim, Terrin, Chung, Melvin Hsien Liang

“…The ranking of location and human nodes in this network is computed using a web search algorithm. This model is considered verified as the error obtained from the comparison made between the benchmark model and the COVID-19 bipartite network model is small. …”
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Detection and Severity Identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks by YAU, YONG SONG

“…Recent neural network based stiction detection methods published are only able to perform either stiction detection or quantification, which open up an area of research to propose a simplified algorithm to simultaneously detect and quantify stiction with high generalization capability. …”
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Detection And Identification Of Stiction In Control Valves Based On Fuzzy Clustering Method by Daneshwar, Muhammad Amin

“…Finally as an alternative to stiction quantification, by configuring a fuzzy identifier, an appropriate model of process with control valve stiction is identified (identification). …”
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SRPTackle: a semi-automated requirements prioritisation technique for scalable requirements of software system projects by Fadhl, Hujainah, Rohani, Abu Bakar, Nasser, Abdullah B., Al-haimi, Basheer, Kamal Z., Zamli

“…Method: SRPTackle provides a semiautomated process based on a combination of a constructed requirement priority value formulation function using a multi-criteria decision-making method (i.e. weighted sum model), clustering algorithms (K-means and K-means++) and a binary search tree to minimise the need for expert involvement and increase efficiency. …”
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