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Iris recognition using convolutional neural network / Zhuang Yuan
Published 2018“…The rising of artificial intelligence provides a great opportunity to further popularize iris recognition. …”
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Model of Bayesian tangent eye shape for eye capture
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Eye closure and open detection using Adaptive Thresholding Histogram Enhancement (ATHE) technique and connected components utilisation
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Developing Bus Tracking System that predicts the arrival times of public buses at Universiti Teknologi PETRONAS (UTP) bus stops.
Published 2004“…The usage will allowthem to access the system that manipulates this algorithm. The scope of the project includes developing an algorithm, the research and analysis of GPS and the use of SMS. …”
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Final Year Project -
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…A simulator is developed as a test bed for the proposed algorithm for various scenarios, including the field experiment using Garmin e-Trex GPS Receiver. …”
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…A simulator is developed as a test bed for the proposed algorithm for various scenarios, including the field experiment using Garmin e-Trex GPS Receiver. …”
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Design of real time intelligent buses notification system for passengers
Published 2012“…In this dissertation, a new real time intelligent public transport movement monitoring system and station reporting based on GPS and succession of RF Radio Chips is presented. …”
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Feature-based face recognition system using utilized artificial neural network
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Improvement of an integrated global positioning system and inertial navigation system for land navigation application
Published 2012“…Global positioning system (GPS) has been extensively used for land vehicle navigation systems. …”
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…However the proposed algorithm offers a promising approach to building intelligent systems.…”
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Final Year Project -
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An Efficient Route Selection Based on AODV Algorithm for VANET
Published 2016“…The accident detection system which based on Global Positioning System (GPS) and Global System for Mobile communication (GSM) can be accomplish though one or several sensors, the system can gathers the information and coordinates of accident spot then send this data to the rescues services center over a network link in shortest time, In this paper, we propose enhance system that composed of a GPS receiver, Vibration sensor, GSM Modem and integrated with Vehicular AD-Hoc Network (VANET). …”
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An Efficient Route Selection based on AODV Algorithm for VANET
Published 2016“…The accident detection system which based on Global Positioning System (GPS) and Global System for Mobile communication (GSM) can be accomplished though one or several sensors, the system can gather the information and coordinates of accident spot, then send this data to the rescue services center over a network link in the shortest time, In this paper, we propose an enhanced system that composed of a GPS receiver, Vibration sensor, GSM Modem and integrated with Vehicular AD-Hoc Network (VANET). …”
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A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications
Published 2020“…Therefore, to reduce this clock offsets, a new algorithm is needed which may consider any alternative reference timestamps rather than GPS. …”
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A novel artificial intelligence based timing synchronization scheme for smart grid applications
Published 2020“…Therefore, to reduce this clock offsets, a new algorithm is needed which may consider any alternative reference timestamps rather than GPS. …”
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A Distributed Energy Aware Connected Dominating Set Technique for Wireless Sensor Networks
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Distance vector-hop range-free location algorithm for wireless sensor network
Published 2015“…Thus, this research has proposed two ideas. First is the intelligent nodes placement algorithm for sensor nodes in order to introduce algorithm with low complexity and low localization error. …”
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A hybrid-based modified adaptive fuzzy inference engine for pattern classification
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Urban connected vehicle lane planning based on improved Frank Wolfe algorithm
Published 2025“…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …”
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