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Fault diagnostic algorithm for precut fractionation column by Heng, H. Y., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

“…The fault diagnostic algorithm is supported by the process history based method and developed by using Borland C++ Builder 6.0. …”
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Hazard identification on fractionation column using rule based expert system by Mohd Yunus, Mohd Yusri, Ali, Mohamad Wijayanuddin

“…The algorithm is found applicable for any of process system, however the expert system developed is only limited to the application for fractionation column of oleo chemical plant.…”
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Development of a rule-based fault diagnostic advisory system for precut fractionation column by Heng, Han Yann

“…This research presents a Fault Diagnostic Advisory (FDA) System which can be used to detect and diagnose unexpected process deviation in the operation of fatty acid precut fractionation column. The developed algorithm is expected to enhance the safety of operation in oleochemical industry. …”
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Development of rule-based advisory system from modified hazard and operability study on fatty acid fractionation column by M. Yunus, M. Y., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

“…A modified Hazard and Operability Study (HAZOP) algorithm has been proposed in order to develop process deviation relationships between two study nodes in HAZOP study. …”
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Numerical Analysis of Defects Caused by Thermolysis in an Infinite Cylindrical Ceramic Moulding by Gumel, A. B., Twizell, E. H.

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Fault detection and diagnosis using rule-based support system on fatty acid fractionation column by Yann, H. H., Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki

“…Process variables are defined as fault if they are deviated outside this region. Identification of causes, consequences and suggested actions for each deviation assisted by Hazard and Operability Study (HAZOP) analysis are generated into rule-based algorithm. …”
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Fault diagnostic advisory system using moving-range chart and hazard operability study. by Heng, Han Yann, Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki

“…The advisory system has successfully detected and diagnosed the deviations and displayed the causes and consequences of the faults. Although the scheme was developed based on precut fractionation column, the algorithm of fault detection and diagnosis can be extended to other chemical process by changing the x-MR chart and HAZOP study for each selected monitoring variables.…”
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Fault diagnostic advisory system using moving-range chart and hazard operability study by Heng, Han Yann, Ali, Mohamed Wijayanuddin, Kamsah, Mohd. Zaki

“…The advisory system has successfully detected and diagnosed the deviations and displayed the causes and consequences of the faults. Although the scheme was developed based on precut fractionation column, the algorithm of fault detection and diagnosis can be extended to other chemical process by changing the x-MR chart and HAZOP study for each selected monitoring variables…”
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An improved vulnerability exploitation prediction model with novel cost function and custom trained word vector embedding by Hoque M.S., Jamil N., Amin N., Lam K.-Y.

Development of brain tumor segmentation of magnetic resonance imaging (MRI) using u-net deep learning by Jwaid W.M., Al-Hussein Z.S.M., Sabry A.H.

“…The resultant semantic maps are inserted into the decoder fraction to obtain the full-resolution probability maps. …”

Fully automated segmentation of the left ventricle in cine cardiac magnetic resonance imaging / Tan Li Kuo by Tan, Li Kuo

“…In conclusion, two algorithms were developed and tested leading to fully automatic segmentation of LV in cardiac cine MRI. …”
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Three dimensional printing of bone tissue engineering scaffold: Design, structure, and mechanical properties / Mitra Asadi-Eydivand by Mitra Asadi, Eydivand

“…Elastic modulus, compressive strength, as well as permeability, were characterized for different volume fractions of TPMS structures to develop structure-property correlations with emphasis on describing the architectural features of optimum models. …”
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Design of PIDDα Controller for Robust Performance of Process Plants by Fawwaz, M.A., Bingi, K., Ibrahim, R., Devan, P.A.M., Prusty, B.R.

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