Search Results - (( java adaptation optimization algorithm ) OR ( security classification rules algorithm ))
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An analysis of intrusion detection classification using supervised machine learning algorithms on NSL-KDD dataset / Sarthak Rastogi ... [et al.]
Published 2022“…Conventional IDS are less accurate in detecting anomalies because of the decision taking based on rules. The IDS with machine learning method improves the detection accuracy of the security attacks. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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A framework for malware identification based on behavior
Published 2012“…The IF-THEN Prediction Rules which is generated using the data mining technique, ID3 Algorithm is used. …”
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Fusion of license plate and face recognition for secure parking / Siti Salwa Md Noor
Published 2013“…The accuracy rate attained is based on implementation of decision fusion using AND rule during classification. Experiments attained a total success rate (TSR) of 96% during parking based on plate recognition only and over 99% TSR during exit based on fusion of plate and face recognition at PSR value of 10. …”
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A collision resistant cryptographic hash function based on cellular automata rules
Published 2013“…The framework divides requirements for the design of hash function into three classifications namely design requirements, security requirements for Boolean function and analysis requirements. …”
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An Enhanced Ant Colony Optimisation Algorithm with the Hellinger Distance for Shariah-Compliant Securities Companies Bankruptcy Prediction
Published 2024“…Although the number of rules and conditions is not statistically significant, HD-AntMiner emerges as a robust algorithm for enhancing classification accuracy in imbalanced datasets, particularly in the context of Shariah-compliant securities prediction.…”
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Android malware detection using PMCC heatmap and Fuzzy Unordered Rule Induction Algorithm (FURIA)
Published 2023“…For machine learning classification algorithms, we used a type of fuzzy logic called lattice reasoning. …”
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Named entity recognition using a new fuzzy support vector machine.
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A new integrated approach for evaluating sustainable development in the electric vehicle sector
Published 2025“…Third, this study uses the classification & regression tree (CART), random forest, and eXtreme gradient boosting (XGBoost) algorithms to assist managers in identifying the key predictive variables for further classification and prediction. …”
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Enhanced Adaptive Neuro-Fuzzy Inference System Classification Method for Intrusion Detection
Published 2024“…Additionally, standard deviation and proposed adaptive K-means algorithms have been employed to minimize the generated rules by ANFIS from the proposed hybrid models. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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