Search Results - (( intelligence based maps algorithm ) OR ( intelligence based ((a algorithm) OR (_ algorithm)) ))
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Development of floor mapping mobile robot algorithm using enhanced Artificial Neuro-Based SLAM (ANBS)
Published 2020“…The paper will highlight implementing a Rplidar sensor with a floor mapping mobile robot platform with the enhanced error corrections based on the Artificial Neuro-Based SLAM (ANBS) algorithm. …”
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Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm
Published 2022“…Results from the simulated and evaluated algorithm showed that the proposed model was able to achieve a mAP of 97.8 in the daytime dataset and 95.1 in the nighttime dataset.…”
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A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
Published 2008“…Satellite-based Vehicle Tracking System accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. …”
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Mobile First-Person Shooter (FPS) Game Using Basic Theta* Algorithm / Muhammad Syurahbil Abd Rohaman
Published 2020“…Basic Theta* is implemented in the game using grid-based map representation. Unity Engine provide its own pathfinding solution using A* algorithm with Navigation Mesh (NavMesh) map representation. …”
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A novel map-matching algorithm to improve vehicle tracking system accuracy
Published 2007“…Map-matching algorithms attempt to pinpoint the vehicle in a particular road map segment (or any restricting track such as rails, etc), in spite of the digital map errors and navigation system inaccuracies. …”
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An intelligent condition monitoring system for fault diagnosis of rotating machinery using expert systems with optimization techniques
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Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The complexity of scheduling problem is considered as a nondeterministic polynomial complete (NP-complete) problem and therefore, an intelligent algorithm is required to achieve better scheduling solution. …”
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…Map-matching algorithms attempt to estimate vehicle route and location in a particular road map (or any restricting track such as rails, etc), in spite of the digital map errors and GPS inaccuracies. …”
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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing
Published 2022“…Furthermore, the solar image formed on the on-axis target can also be easily affected by gear backlash and wind load, and an absolute encoder is used to reduce the errors produced by the sun-tracking system. Therefore, a fully artificial intelligent (AI)-integrated sun-tracking algorithm is proposed and can be used in any type of sun-tracking systems such as concentrated photovoltaic (CPV), flat photovoltaic (PV) or heliostat systems. …”
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The satellite-based vehicle tracking systems accuracy can be improved by augmenting the positional information using road network data, in a process known as map-niatcliing. …”
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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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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…It is proposed and shown that route-like intelligent motion is based on a combination of decisional and kinematical factors. …”
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Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield.
Published 2005“…Intelligent systems based on machine learning techniques, such as classification, clustering, are gaining wide spread popularity in real world applications. …”
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Joint torque estimation model of surface electromyography(sEMG) based on swarm intelligence algorithm for robotic assistive device
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Feature-based face recognition system using utilized artificial neural network
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Classification of left/right hand movement from EEG signal by intelligent algorithms
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