Search Results - (( intelligence system path algorithm ) OR ( intelligence system rule algorithm ))
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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“…Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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Utilization of Tabu search heuristic rules in sampling-based motion planning
Published 2023“…In this class of path planning, the robot acquires the information from its sensory system. …”
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A Dijkstra’s Mobile Web Application Engine for Generating Integrated Light Rail Transit Route
Published 2010“…Currently, our research is focusing on Dijkstra’s algorithms to provide more effective and intelligent shortest path system to provide the solution for traveler to reach the desired destination. …”
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Hybrid Balance Artificial Potential Field Navigation System For An Autonomous Surface Vessel In Riverine Environment
Published 2019“…There are two issues related to ASV autonomous riverine navigation; river environment modelling and autonomous path planning and obstacles avoidance. Thus, the objectives of the research are: to develop a riverbanks identification algorithm for ASV navigation; and to develop a marine traffic rules compliant navigation and obstacles avoidance algorithm for ASV in the unstructured riverine environment. …”
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Obstacle Avoidance of a Mobile Robot Using Fuzzy Logic Control
Published 1999“…During the past several years fuzzy logic control (FLC) has emerged as one of the most active and fiuitful areas for research in the application of intelligent system design. Presently, fuzzy logic has found a variety of applications in various fields ranging from industrial process control to medical diagnosis and securities trading. …”
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Motion modelling using concepts of fuzzy artificial potential fields
Published 2010“…Then, the paper describes a new approach to motion modelling where the motion of intelligent travellers is modelled by consecutive path segments. …”
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…By contrast, the results of the safe path selection model were compared with the results obtained using Dijkstra's algorithm and the Floyd-Warshall algorithm. …”
thesis::doctoral thesis -
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…A novel decision support system (DSS) is devised with the ability of learning decisional as well as kinematical behaviors of intelligent travelers. …”
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A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
Published 2019“…The excellent proficiency of the developed intelligence expert system is the result of the hybrid structure of the BA and PSO algorithm and the substitution of weaker solutions in each algorithm with better solutions from other algorithms. …”
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Employing artificial intelligence techniques in Mental Health Diagnostic Expert System
Published 2023Subjects: “…expert system…”
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Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment
Published 2024“…In this paper, the optimised Apriori association rule algorithm is used as technical support to realise the function of interlocking fault diagnosis in the intelligent fault diagnosis system module. …”
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Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure
Published 2011“…With the association rule in hand, a distance relay performance analysis Expert System called Protective Relay Analysis System (PRAY) had been designed. …”
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Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology
Published 2024“…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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