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41 results for “Experimental Validation”
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Research ArticleOpen accessIn the abstractFinite Element Evaluation of RC Frames Strengthened with FRPs under Fire and Lateral LoadsReza Salehi, Abbas AkbarpourReinforced concrete is one of the most common structures in the world. These structures may be under extreme loading conditions such as earthquake or they may confront with other flooding, impact or even the fire load. In the term of fire load, RC structures are very sensitive and due to the brittle behavior, the fast collapsing happens. In this research, … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 27 Sep 2020 · 6,702 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutism Detection from 2D Transformed EEG Signal using Convolutional Neural NetworkZahrul Jannat Peya, M. A. H. Akhand, Jannatul Ferdous Srabonee, Nazmul SiddiqueAutism Spectrum Disorder (ASD) is a neurodevelopmental disorder relating to speech complications, nonverbal and social communication, and repetitive behaviors. There is no remedy for ASD but early diagnosis, mediation, and supportive care can aid the development of language, conduct, and communication skills. As the cause of ASD is a neurodevelopmental disorder, its diagnosis based on brain function analyzing different brain … …Journal of Computer Science, Vol. 18, Issue 8 · 31 Jul 2022 · 7,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Ant Colony Optimization and Genetic Algorithm for Rule InductionHayder Naser Khraibet AL-Behadili, Ku Ruhana Ku-Mahamud, Rafid SagbanIn this study, a hybrid rule-based classifier namely, ant colony optimization/genetic algorithm ACO/GA is introduced to improve the classification accuracy of Ant-Miner classifier by using GA. The Ant-Miner classifier is efficient, useful and commonly used for solving rule-based classification problems in data mining. Ant-Miner, which is an ACO variant, suffers from local optimization problem which affects its performance. In our … …Journal of Computer Science, Vol. 16, Issue 7 · 24 Jul 2020 · 7,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractHYPERPARAMETER SELECTION IN KERNEL PRINCIPAL COMPONENT ANALYSISMd. Ashad Alam, Kenji FukumizuIn kernel methods, choosing a suitable kernel is indispensable for favorable results. No well-founded methods, however, have been established in general for unsupervised learning. We focus on kernel Principal Component Analysis (kernel PCA), which is a nonlinear extension of principal component analysis and has been used electively for extracting nonlinear features and reducing dimensionality. As a kernel method, kernel PCA … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 8,721 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Mathematical Modelling of Reaction Kinetics for Cyclodextrins Production from Different Starch Sources Using Bacillus macerans Cyclodextrin GlucanotransferaseSyahinaz Shahrazi, Suryani Saallah, Mohd Noriznan Mokhtar et al.This study relates to the mathematical modelling of enzymatic production of Cyclodextrins (CDs) by Cyclodextrin Glucanotransferase (CGTase) from Bacillus macerans. The experiments were carried out in batch mode using different starch sources and the results were used to estimate unknown parameters using linearization and dynamic simulation methods. α- and β-CD produced from tapioca were found to give the highest Michaelis-Menten … …American Journal of Biochemistry and Biotechnology, Vol. 9, Issue 2 · 20 Jun 2013 · 7,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Takeoff Angle of Bucket Type Energy Dissipater on Scour HoleNor Azlina Alias, Thamer Ahmed Mohamed, Abdul Halim Ghazali, Megat Johari Megat Mohd. NoorScour holes formed downstream of bucket type energy dissipater may affect the safety and stability of the structure. In this study, a physical model is employed to study the impact of takeoff angle of bucket type energy dissipater on the scour hole. The area of longitudinal profile of the scour hole is used to evaluate the seriousness of the scour … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 8,380 accessesView PDFCite
Research ArticleOpen accessIn the abstractValidation of Some Bridge Pier Scour Formulae Using Field and Laboratory DataThamer A. Mohamed, Megat J.M.M. Noor, Abdul H. Ghazali, Bujang B.K. HuatEstimation of maximum local scour depth at the bride pier site is necessary for the safety and economy of the designed bridge. Numerous formulae are available and almost all of these formulae were developed based on laboratory data. Validation of these formulae is necessary in order to ascertain which of the formulae will give a reasonable estimate of the local … …American Journal of Environmental Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 7,826 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Linear and Non-Linear Regression Models for Non-Invasive Blood Glucose MeasurementDorsaf Ghozzi, Yassine Manai, Khaled NouriThis paper deals with a new approach of non-invasive glucose monitoring based on near infrared spectroscopy. The proposed approach is coupled with a regression analysis in order to improve the predictive capacity of the designed device. Basic spectral data is a comparison that has been established between linear and non-linear machine learning regression algorithms. The experimental results show that feed … …Journal of Computer Science, Vol. 15, Issue 11 · 13 Nov 2019 · 7,864 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombining Model-Based Testing and Failure Modes and Effects Analysis for Test Case Prioritization: A Software Testing ApproachAtifi Meriem, Marzak AbdelazizDue to The complexity of modern software projects and the increasing size of software systems, it becomes difficult to manually perform tests with limited resources. Also, manual testing cannot assure that the software is tested using all possible combinations of inputs. Therefore, automate software testing activities have become primordial in the Software Development Life Cycle (SDLC). Model-based testing is a … …Journal of Computer Science, Vol. 15, Issue 4 · 4 Apr 2019 · 8,216 accessesView PDFCite