Search Results - (( intelligence ((based tree) OR (based time)) algorithm ) OR ( intelligence based gps algorithm ))

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  1. 1
    Developing Bus Tracking System that predicts the arrival times of public buses at Universiti Teknologi PETRONAS (UTP) bus stops.

    Developing Bus Tracking System that predicts the arrival times of public buses at Universiti Teknologi PETRONAS (UTP) bus stops. by Mohd Akhir, Norhasiah

    Published 2004
    “…In this project, an algorithm will be developed to predict the amount of time needed for the incoming public bus to arrive, based on the current location of the bus and the current time. …”
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  2. 2
    A novel artificial intelligence based timing synchronization scheme for smart grid applications

    A novel artificial intelligence based timing synchronization scheme for smart grid applications by Hasan, Mohammad Kamrul, Ahmed, Musse Mohamud, Hassan Abdalla Hashim, Aisha, Razzaque, Abdur, Islam, Shayla, Pandey, Bishwajeet

    Published 2020
    “…Therefore, this article proposed the AI-based Synchronization scheme to mitigate smart grid timing issues. …”
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  3. 3
    A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications

    A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications by Mohammad Kamrul, Hasan, Musse Mohamud, Ahmed, Aisha, Hassan Abdalla Hashim, Abdur Razzaque, Shayla Islam, Biswajeet, Pandey

    Published 2020
    “…Therefore, this article proposed the AI-based Synchronization scheme to mitigate smart grid timing issues. …”
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  4. 4
    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy

    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Agung Dewandaru, Agung

    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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  5. 5
    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy

    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Dewandaru, Agung

    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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  6. 6
    An Efficient Route Selection Based on AODV Algorithm for VANET

    An Efficient Route Selection Based on AODV Algorithm for VANET by Nassir Sallom , Kadhim, Mohammed, Muamer N., Mazlina, Abdul Majid, Sinan Q., Mohamd

    Published 2016
    “…Simulation result shown that VANET modified algorithm based on average signal strength has the advantage of choosing the optimum route to deliver data and own enhanced ratio (17%) by comparing with a maximum signal strength route.…”
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  7. 7
    Distance vector-hop range-free location algorithm for wireless sensor network

    Distance vector-hop range-free location algorithm for wireless sensor network by Zazali, Azyyati Adiah

    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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  8. 8
    An Efficient Route Selection based on AODV Algorithm for VANET

    An Efficient Route Selection based on AODV Algorithm for VANET by Kadhim, Nassir, Mohammed, Muamer N., Mazlina, Abdul Majid, Mohamd, Sinan Q., Tao, Hai

    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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  9. 9
    Fuzzy logic-based arrival time estimation for indoor navigation using augmented reality

    Fuzzy logic-based arrival time estimation for indoor navigation using augmented reality by Mohammed Sohif, Muhammad Hidayat, Mardzuki, Muhammad Imran, Mohd Ibrahim, Azhar, Haja Mohideen, Ahmad Jazlan

    Published 2025
    “…This study proposes a mobile AR application for indoor navigation that uses an intelligent signage algorithm based on fuzzy logic to estimate arrival time. …”
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  10. 10
    Design of real time intelligent buses notification system for passengers

    Design of real time intelligent buses notification system for passengers by Muhammad, Rauf

    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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  11. 11
    Improvement of an integrated global positioning system and inertial navigation system for land navigation application

    Improvement of an integrated global positioning system and inertial navigation system for land navigation application by Hasan, Ahmed Mudheher

    Published 2012
    “…This work also presents a new method for de-noising the GPS and INS data and estimate the INS error using wavelet multi-resolution analysis algorithm (WMRA) based particle swarm optimization (PSO) with a well designed structure appropriate for practical and real time implementations due to its very short optimizing time and elevated accuracy. …”
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  12. 12
    Improvement on agglomerative hierarchical clustering algorithm based on tree data structure with bidirectional approach

    Improvement on agglomerative hierarchical clustering algorithm based on tree data structure with bidirectional approach by Dalbouh H.A., Md Norwawi N.

    Published 2024
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  13. 13
    Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm

    Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm by Ibrahim, Hamidah, Yasin, Waheed, Abdul Hamid, Nor Asilah Wati, Udzir, Nur Izura

    Published 2014
    “…In this work, new intelligent cooperative web caching approaches based on decision tree supervised machine learning algorithm are presented. …”
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  14. 14
    Intelligent cooperative web caching policies for media objects based on J48 decision tree and naïve Bayes supervised machine learning algorithms in structured peer-to-peer systems

    Intelligent cooperative web caching policies for media objects based on J48 decision tree and naïve Bayes supervised machine learning algorithms in structured peer-to-peer systems by Ibrahim, Hamidah, Mohammed, Waheed Yasin, Udzir, Nur Izura, Abdul Hamid, Nor Asilah Wati

    Published 2016
    “…Moreover, traditional web caching policies such as Least Recently Used (LRU), Least Frequently Used (LFU), and Greedy Dual Size (GDS) suffer from caching pollution (i.e. media objects that are stored in the cache are not frequently visited which negatively affects on the performance of web proxy caching). In this work, intelligent cooperative web caching approaches based on J48 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. …”
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  15. 15
    Hybridization of SLIC and extra tree for object based image analysis in extracting shoreline from medium resolution satellite images

    Hybridization of SLIC and extra tree for object based image analysis in extracting shoreline from medium resolution satellite images by Abd Manaf, Syaifulnizam, Mustapha, Norwati, Sulaiman, Md. Nasir, Husin, Nor Azura, Mohd Shafri, Helmi Zulhaidi, Razali, Mohd Norhisham

    Published 2018
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  16. 16
    Optimizing tree planting areas through integer programming and improved genetic algorithm

    Optimizing tree planting areas through integer programming and improved genetic algorithm by Md Badarudin, Ismadi

    Published 2012
    “…In conclusion, the hybrid algorithm based solution strategies improved efficiency with convincing results, therefore, this will assist planners for better decision making to optimize area to achieve more trees to be planted. …”
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  17. 17
    A machine learning approach to predict the activity of smart home inhabitant

    A machine learning approach to predict the activity of smart home inhabitant by Marufuzzaman M., Tumbraegel T., Rahman L.F., Sidek L.M.

    Published 2023
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  18. 18
    Application of sampling-based motion planning algorithms in autonomous vehicle navigation

    Application of sampling-based motion planning algorithms in autonomous vehicle navigation by Khaksar, Weria, Mohamed Sahari, Khairul Salleh, Tang, Sai Hong

    Published 2016
    “…In this chapter, a novel sampling-based navigation architecture is introduced, which employs the optimal properties of RRT* planner and the low running time property of low-dispersion sampling-based algorithms. …”
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  19. 19
    Intelligent cooperative web caching policies for media objects based on J48 decision tree and Naive bayes supervised machine learning algorithms in structured peer-to-peer systems

    Intelligent cooperative web caching policies for media objects based on J48 decision tree and Naive bayes supervised machine learning algorithms in structured peer-to-peer systems by Ibrahim, Hamidah, Yasin, Waheed, Udzir, Nur Izura, Abdul Hamid, Nor Asilah Wati

    Published 2016
    “…Moreover, traditional web caching policies such as Least Recently Used (LRU), Least Frequently Used (LFU), and Greedy Dual Size (GDS) suffer from caching pollution (i.e. media objects that are stored in the cache are not frequently visited which negatively affects on the performance of web proxy caching). In this work, intelligent cooperative web caching approaches based on J48 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. …”
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  20. 20
    Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea

    Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea by Sim, Doreen Ying Ying

    Published 2018
    “…This research develops a knowledge-based system by using computational intelligent approaches based on Boosting algorithms on decision trees augmented by pruning techniques and Association Rule Mining. …”
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