Search Results - (( java implementation modified algorithm ) OR ( using path learning algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Autonomous path planning robot using geographical information
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Hierarchical gaussian reinforcement learning for path planning in uncertain environments
Published 2015“…This approach differs from traditional Q-leaning in two ways: its ability to deal with continuous states and actions and its ability to work in uncertain (nondeterministic) environments. We propose a path planning algorithm for robots in uncertain environments by using hierarchical Gaussian Q-learning. …”
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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Dynamic path planning algorithm in mobile robot navigation
Published 2011“…In this research, Genetic Algorithm (GA) is used to assist mobile robot to move, identify the obstacles in the environment, learn the environment and reach the desired goal in an unknown and unrecognized environment. …”
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Solving the optimal path planning of a mobile robot using improved Q-learning
Published 2019“…Q-learning, a type of reinforcement learning, has gained increasing popularity in autonomous mobile robot path planning recently, due to its self-learning ability without requiring a priori model of the environment. …”
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Mobile robot path planning using q-learning with guided Distance
Published 2018“…In path planning for mobile robot, classical Q-learning algorithm requires high iteration counts and longer time taken to achieve conver-gence. …”
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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Path Following Using A Learning Neural Network
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Final Year Project -
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Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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Conference or Workshop Item -
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
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Adaptive route optimization for mobile robot navigation using evolutionary algorithm
Published 2021“…In autonomous robot design, the main problem faced by researchers is the path planning of mobile robot. Various kind of path planning algorithm was introduced in the past, but no algorithm has absolute superior towards the others algorithm. …”
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Proceedings -
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FROM IMAGE TO GRAPH-BASED DATA FOR PATH PLANNING
Published 2019“…Path planning is one of methods that have been used in finding ways from one point to another. …”
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Final Year Project -
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…Fuzzy arithmetic operations on fuzzy numbers and artificial neural networks with a back-propagation learning algorithm were used to represent the structure of the neuro-fuzzy risk assessment model, whereas genetic algorithms were used to develop the safe path selection model. …”
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A network aware based recommender system for VOIP application service in eLearning environment / Nazdiana Ab. Wahab
Published 2009“…Therefore, this dissertation work, proposed a network based recommender that could be used in the application of VOIP services in eLearning environment. …”
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Machine Learning-Enabled Communication Approach for the Internet of Medical Things
Published 2023“…Additionally, other evaluation metrics are used to find a reliable and shortest possible communication path between the two interested parties. …”
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