Search Results - (( java implication based algorithm ) OR ( knowledge acquisition means algorithm ))

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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An ontology-based reasoning framework for reaction mechanisms simulation by Alicia Tang, Y., Zain, S., Abdul Rahman, N., Abdullah, R.

“…This work discusses a novel framework using Qualitative Reasoning (QR) to provide means for learning reaction mechanisms through simulation. …”
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Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman by Osman, Noor Diyana

“…The artifacts are due to the beam hardening, photon starvation effect, and inappropriate correction algorithm during image reconstruction. Knowledge on factors affecting the artifacts is crucially important to minimize these artifacts. …”
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Extreme Learning Machines: A new approach for prediction of reference evapotranspiration by Abdullah S.S., Malek M.A., Abdullah N.S., Kisi O., Yap K.S.

“…Arid regions; Atmospheric temperature; Evapotranspiration; Geographical regions; Knowledge acquisition; Mean square error; Meteorology; Neural networks; Wind; Arid and semi-arid regions; Coefficient of determination; Extreme learning machine; Feedforward backpropagation; Generalization performance; Meteorological condition; Penman-Monteith equations; Reference evapotranspiration; Learning systems; air temperature; algorithm; evapotranspiration; learning; meteorology; new record; Penman-Monteith equation; performance assessment; semiarid region; Basra; Iraq…”

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Modeling a problem solving approach through computational thinking for teaching programming / Zebel Al Tareq by Zebel , Al Tareq

“…Sorting algorithm as a concept for solving problems have been utilized to understand the effectiveness of the model in different teaching methods. …”
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Optimization of transesterification process for Ceiba pentandra oil: A comparative study between kernel-based extreme learning machine and artificial neural networks by Kusumo F., Silitonga A.S., Masjuki H.H., Ong H.C., Siswantoro J., Mahlia T.M.I.

“…Ant colony optimization; Artificial intelligence; Biodiesel; Esters; Knowledge acquisition; Mean square error; Neural networks; Transesterification; Ant Colony Optimization (ACO); Artificial neural network models; Ceiba pentandra oil; Coefficient of determination; Effect of parameters; Extreme learning machine; Root mean squared errors; Transesterification process; Learning systems; algorithm; artificial neural network; biofuel; catalysis; chemical reaction; comparative study; machine learning; optimization; vegetable oil; Ceiba pentandra…”

Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Pr... by Sammen S.S., Ehteram M., Sheikh Khozani Z., Sidek L.M.

Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman by Osman, Noor Diyana

“…The artifacts are due to the beam hardening, photon starvation effect, and inappropriate correction algorithm during image reconstruction. Knowledge on factors affecting the artifacts is crucially important to minimize these artifacts. …”
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EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique by Liew, Siaw Hong

“…The IncFRNN algorithm is able to control the size of training pool using predefined window size threshold. …”
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Economic analysis of rehabilitation approaches for water distribution networks: comparative study between Egypt and Malaysia by Abdelrahman, M. Farouk, Rahimi, A. Rahman, Noor Suraya, Romali

“…Findings – The results from the data analysis show that the cost-effective approaches are “programming,” “simulation,” “digital twin” and “supervisory control and data acquisition.” Additionally, the data from Malaysia suggest two additional cost-effective approaches:“zoning network” and “genetic algorithm.” …”
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Developing students' mathematical thinking: how far have we came? by Md. Yunus, Aida Suraya

“…Mathematical thinking is the foundation to do reasoning and problem solving and to develop conceptual knowledge, as opposed to procedural knowledge. Several findings from studies that focused on students' ability to provide reasoning and give meanings to concepts and algorithms are highlighted. …”
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