Search Results - (( intelligence based path algorithm ) OR ( intelligence technique based algorithm ))
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…This architecture is based on the combination of three well-known techniques, namely, artificial neural networks, fuzzy logic and genetic algorithm. …”
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African Buffalo Optimization (ABO): A New Metaheuristic Algorithm
Published 2015“…This paper proposes a new meta-heuristic approach to solving numerical and graph-based problems. The African buffalo algorithm evolved from an understanding of the animal's survival instincts and the search techniques they utilize in the African forests and savannahs; the search for the optimal path to pasture is aligned to their cooperative, intelligent, and social nature. …”
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Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming
Published 2012“…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
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False path identification algorithm framework for nonseparable controller-data path circuits
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…In this research, a sampling-based path planning algorithm was proposed which employs several heuristic and intelligent techniques to improve the performance of the planner in terms of quality of the resulted paths, runtimes of the planner, stability of the results in different executions, ability to solve difficult problems effectively and capability of planning in unknown environment. …”
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Proposal for ontology based approach to fuzzy student model design
Published 2014“…Intelligent tutoring system (ITS) is a software system designed using artificial intelligent techniques (comprising of Fuzzy Logic, Neural-Networks, Bayesian networks, Ontology, Genetic Algorithms and Software Agents) to provide an adaptive and personalized tutoring suitable to each individual student based on his/her profile or characteristics. …”
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Implementation of autonomous vehicle navigation algorithms using event-driven programming
Published 2012“…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
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A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
Published 2008“…The curve-to-curve matching algorithms measure the similarity between the track and possible road path. …”
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A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots
Published 2022“…This evaluation focuses mostly on the accuracy of the different path-planning algorithms. Common collision-free path planning methodologies are examined in this paper, including classical or traditional and modern intelligence techniques, as well as both global and local approaches, in static and dynamic environments. …”
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Using artificial intelligence search in solving the camera placement problem
Published 2022“…The placement results obtained based on those algorithms are critically compared in terms of the algorithmsâ�� efficiency and performance. …”
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Efficient and scalable ant colony optimization based WSN routing protocol for IoT
Published 2020“…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. …”
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Potential of Metal Artifact Reduction (MAR) and Deep Learning-based Reconstruction (DLR) algorithms integration in CT Metal Artifact Correction: a review
Published 2024“…Deep Learning-based Reconstruction (DLR) is an expanding approach using Artificial Intelligence (AI) for CT image reconstruction. …”
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A novel map-matching algorithm to improve vehicle tracking system accuracy
Published 2007“…The better curve-to-curve matching algorithms considers the road connectivity and measure the similarity between track and the possible road path (hypotheses), but mostly does not have any way to manage multiple track hypotheses which have varying degree of similarity over time. …”
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