Search Results - (( java implication based algorithm ) OR ( knowledge learning cell algorithm ))
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On equivalence of FIS and ELM for interpretable rule-based knowledge representation
Published 2023“…Classification (of information); Computer aided diagnosis; Fault detection; Fuzzy systems; Knowledge acquisition; Knowledge representation; Learning systems; Matrix algebra; Membership functions; Pattern recognition; Extreme learning machine; Fault detection and diagnosis; Fuzzy if-then rules; Fuzzy inference systems; Fuzzy membership function; Initialization technique; Interpretable rules; Rule based; Fuzzy inference; algorithm; artificial intelligence; artificial neural network; benchmarking; classification; electric power plant; factual database; feedback system; fuzzy logic; machine learning; nerve cell; reproducibility; statistical model; Algorithms; Artificial Intelligence; Benchmarking; Classification; Databases, Factual; Feedback; Fuzzy Logic; Machine Learning; Models, Statistical; Neural Networks (Computer); Neurons; Power Plants; Reproducibility of Results…”
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Hybrid Classification Algorithm For Denial Of Service Attack Detection Using Rough Set Theory And Artificial Immune
Published 2024thesis::master thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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An immunological-based simulation: A case study of risk concentration for mobile spam context assessment
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journal::journal article -
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Improving named entity recognition accuracy of gene and protein in biomedical text
Published 2011“…The plethora of biomedical material on the WWW is one of the factors that have sustained interest in automatic methods for extracting information from biomedical document, which can help biologists in their research. To extract useful knowledge from the biomedical literature, we must be able to recognize names of biomedical entities, such as genes, proteins, cells, and diseases which are called Named Entity. …”
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Thesis -
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Spotting events in football videos with a combination of two-stream convolutional neural network and dilated recurrent neural network / Behzad Mahaseni
Published 2021“…While the general problem of temporal segmentation in videos have been extensively addressed in the literature, to the best of our knowledge this work is the among the first to address the event localization problem in “long” football videos using end-to-end deep learning techniques. …”
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