Search Results - (( java application optimization algorithm ) OR ( based integration bayes algorithm ))
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Text Categorization Using Naive Bayes Algorithm
Published 2005“…This paper presents text categorization system based on naive Bayes algorithm. This algorithm has long been used for text categorization tasks. …”
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Text categorization using naive bayes algorithm
Published 2006“…This paper presents text categorization system based on naive Bayes algorithm. This algorithm has long been used for text categorization tasks. …”
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Naive bayes algorithm based e-mail spamming filtering system
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Academic Exercise -
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…Based on the proposed layout of the parking system, the number of parking bays have increased by 21.5% compared with the standard parking design. …”
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A smart guidance indoor parking system based on Dijkstra's algorithm and ant colony algorithm
Published 2020“…This paper introduces a smart guidance indoor parking system based on embedded system integrated with both the Dijkstra's algorithm and Ant Colony algorithm (ACO) to provide drivers with an efficient path to the nearest parking bay. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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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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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Anomaly-based intrusion detection through K-means clustering and naives Bayes classification
Published 2013“…Regrettably, the foremost challenge of this method is to minimize false alarm while maximizing detection and accuracy rate. We propose an integrated machine learning algorithm across K-Means clustering and Naïve Bayes Classifier called KMC+NBC to overcome the aforesaid drawbacks. …”
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Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification
Published 2013“…Regrettably, the foremost challenge of this method is to minimize false alarm while maximizing detection and accuracy rate.We propose an integrated machine learning algorithm across K-Mean s clustering and Naïve Bayes Classifier called KMC+NBC to overcome the aforesaid drawbacks.K-Means clustering is applied to labeling and gathers the entire data into corresponding cluster sets based on the data behavior,i.e.…”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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A behavioral trust model for internet of healthcare things using an improved FP-growth algorithm and Naïve Bayes classifier
Published 2021“…Thanks to the Internet of Healthcare Things (IoHT) based healthcare delivery frameworks, integration of many heterogeneous devices with varying computational capabilities has been possible. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Performance evaluation for different intrusion detection system algorithms using machine learning
Published 2018“…The objectives of this project is to evaluate the performance of various intrusion detection algorithms based on machine learning. The algorithms considered are the Naive Bays Algorithm, Decision Tree Algorithm and Hybrid Algorithm for different datasets. …”
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Classification of polymorphic virus based on integrated features
Published 2018“…The integrated feature is selected based on Information Gain rank value between static and dynamic features. …”
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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 BayesNet provides the best integrated MLADR fault classifier model better at a 5 % significance level than other deployed algorithms in the intelligent supervised learning model realization. …”
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