Search Results - (( pattern navigation using algorithm ) OR ( java application optimized algorithm ))
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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
Published 2009“…The approach is based on the using longest common subsequence algorithm to classify current user activities to predict user next movement. …”
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A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining
Published 2009“…The approach in the offline phase is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining. …”
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Thesis -
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Development of behavior-based reactive navigation system for mobile robot
Published 2013“…The repeatability tests shown that the developed navigation algorithm able the robot to reach the target with the similar navigation path pattern outcome in each simulation tests. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…The results also indicate that kind of behavior given by EM clustering algorithm has improved the visit-coherence (accuracy) of navigation pattern mining.…”
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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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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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WebPUM : a web-based recommendation system to predict user future movements.
Published 2010“…The approach is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining phase. …”
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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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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…The weights and biases generated through the training process is depended on the training algorithm, initial weights and biases for training and the dataset used in the process. …”
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Model Predictive Controller (MPC) Design for an UAV Quadcopter in Windy Critical Environment
Published 2025“…These challenging environments pose unique navigational difficulties due to fluctuating wind patterns, which significantly impact UAV performance and accuracy. …”
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Thesis -
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…The performance of MANFIE was compared with existing methods in a diversity of practical benchmark applications such as pattern classifications, time series predictions, modeling with inverse learning control and mobile robot navigation. …”
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Thesis -
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A web usage mining approach based on LCS algorithm in online predicting recommendation systems
Published 2008“…To provide online prediction efficiently, we advance an architecture for online predicting in Web Usage Mining system and propose a novel approach based on LCS algorithm for classifying user navigation patterns for predicting users' future requests. …”
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Thesis -
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Stereo matching algorithm based on hybrid convolutional neural network and directional intensity difference
Published 2021“…It is also competitive with other published methods and can be used as a complete algorithm.…”
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Trajectory-based analysis in nonlinear navigation using extended kalman filter with different covariance matrix acquisition methods
Published 2025“…One of the requirements in implementing EKF is to have a reliable covariance value that acts as an initializer before performing any navigation. Previous studies tend to ignore the importance of initial covariances by only assuming the value as an identity matrix, using existing datasets or using random values rather than obtaining it technically. …”
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Conference or Workshop Item