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Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.]
Published 2023“…With geolocation and decision tree algorithms, this project aims to design and develop an emergency application for LRT passengers. …”
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Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.]
Published 2023“…With geolocation and decision tree algorithms, this project aims to design and develop an emergency application for LRT passengers. …”
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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…In the fourth phase, the newly developed algorithm undergoes testing on the formulated ROOPs and compared to several contemporary optimizer algorithms. …”
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Implications of the Middle East Emerging Markets on International Portfolio Diversification
Published 2010“…For the intra-regional investments, the Middle Eastern equity markets provide more portfolio diversification benefits as compared to the emerging and developed equity markets. A vital difference between emerging and developed markets is that developed countries provide the opportunities of selecting the desired investments among a similar set of portfolio risks in both the short and long-term holding periods. …”
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Performance analysis of machine learning algorithms for classification of infection severity levels on rubber leaves
Published 2023“…Thus, this study was carried out to investigate the potential application of spectroscopic technology and machine learning algorithms to classify severity level of infected trees at early stage based on spectral data. …”
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024Proceedings Paper -
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Predicting the optimum compositions of a transdermal nanoemulsion system containing an extract of Clinacanthus nutans leaves (L.) for skin antiaging by artificial neural network mo...
Published 2017“…The model was applied to optimize the particle size of the transdermal nanoemulsion system containing an extract of C. nutans leaves for skin antiaging. Five universal learning algorithms—incremental back propagation, batch back propagation, quick propagation, genetic algorithm, and Levenberg-Marquardt—were used in the ANN to achieve the optimum topologies. …”
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Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems
Published 2012“…Moreover, the computation time (CPU Time) of the developed SA algorithm is significantly less than the benchmarked algorithm. …”
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Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…So far, limited genetic-based clustering ensemble algorithms have been developed. However, their clustering accuracy and convergence to group unlabeled samples are not still satisfied. …”
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Explicit solution of parameter estimate using multiparametric programming for boost converter
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MOBILE DICTIONARY
Published 2005“…With growing technological advancement, electronic dictionary keeps on emerging. Current existing electronic dictionaries are limited with functionality to translate for multiword correctly. …”
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MBIST implementation and evaluation in FPGA based on low-complexity March algorithms
Published 2024“…However, studies show that March algorithms with complexities lower than 18N have poor coverages of faults that have emerged with the advent of the nanometer process technologies and are more relevant to nowadays memories. …”
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Enhancement of Over-Exposed and Under-Exposed Images Using Hybrid Gamma Error Correction Sigmoid Function
Published 2007“…This thesis combines the functions' properties and developed a hybrid algorithm to improve the quality of the poorly captured images by adjusting the contrast and compensating the gamma error. …”
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