Search Results - (( intelligence based bayes algorithm ) OR ( intelligence _ data algorithm ))
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Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
Published 2016“…This work proposes a hybrid method that optimize cache replacement algorithm using Naïve Bayes (NB) based approach. Naïve Bayes is an intelligent method that depends on Bayes’ probability theory integrated with Adaptive Weight Ranking Policy (AWRP) via dynamic aging factor to improve the response time and network performance. …”
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Machine Learning Applications in Offense Type and Incidence Prediction
Published 2024“…We can develop targeted strategies to prevent and respond to such incidents by analyzing these patterns. Artificial Intelligence (AI) techniques encompass variouscomputational methods and algorithms designed to enable machines to perform tasks that typically require human intelligence. …”
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First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms
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Hidden markov model for decision making among heterogeneous systems in intelligent building
Published 2014“…In order to improve the response time a machine learning algorithm like Hidden Markov Model (HMM) instead of the rule-based is used. …”
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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…The intelligent algorithm ML-ADR fault classifier model could discriminate 10 different far-end short circuit fault types from two network topology changes with and without midpoint integrated STATCOM on the Matlab/Simulink power grid system model. …”
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Feature selection based on particle swarm optimization algorithm for sentiment analysis classification
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Intrusion Detection Systems, Issues, Challenges, and Needs
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Evaluation of fall detection classification approaches
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iBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems
Published 2024“…Therefore, this paper proposes an ARL-based intelligent Behavioural Trust Model (iBUST) for securing the CPPS. …”
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An efficient computational intelligence technique for classification of protein sequences
Published 2014“…Many artificial intelligence techniques have been developed to process the constantly increasing volume of data to extract meaningful information from it. …”
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Sleep as a predictor of depression level using Naïve Bayes / Nur Syakinah Md Roduan
Published 2017“…So, a prediction system was developed to predict students' level of depression based on their sleep behaviors that uses Naïve Bayes method, which implement Artificial Intelligence (AI) as result of survey conducted to the target user proved that majority of them need a system that can predict depression level. …”
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Spear- phishing attack detection using artificial intelligence
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…Other related papers on this area have proven that intelligent data-driven fraud detection is proven to be far more effective than routine inspections. …”
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Artificial intelligence system for pineapple variety classification and its quality evaluation during storage using infrared thermal imaging
Published 2022“…Several machine learning algorithms including linear discriminant analysis, quadratic discriminant analysis, k-nearest neighbour, support vector machine, decision tree, and Naïve Bayes were applied for the classification of pineapple varieties. …”
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Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain
Published 2022“…A fuzzy-based Naive Bayes algorithm has been used in this case. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…In future, this research can be an initial work in automating tutorial decisions in an intelligent tutoring system which are able to adapt to the behaviour of the learners based on the detected mental states. …”
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Intelligent cooperative web caching policies for media objects based on J48 decision tree and naïve Bayes supervised machine learning algorithms in structured peer-to-peer systems
Published 2016“…Moreover, traditional web caching policies such as Least Recently Used (LRU), Least Frequently Used (LFU), and Greedy Dual Size (GDS) suffer from caching pollution (i.e. media objects that are stored in the cache are not frequently visited which negatively affects on the performance of web proxy caching). In this work, intelligent cooperative web caching approaches based on J48 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. …”
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