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  1. 1
    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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  2. 2
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  3. 3
    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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  4. 4
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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  5. 5
    An energy-efficient spectrum-aware reinforcement learning-based clustering algorithm for cognitive radio sensor networks

    An energy-efficient spectrum-aware reinforcement learning-based clustering algorithm for cognitive radio sensor networks by Mustapha, Ibrahim, Mohd Ali, Borhanuddin, A. Rasid, Mohd Fadlee, Sali, Aduwati, Mohamad, Hafizal

    Published 2015
    “…We first model the network energy consumption and then determine the optimal number of clusters for the network. The problem of selecting an optimal cluster is formulated as a Markov Decision Process (MDP) in the algorithm and the obtained simulation results show convergence, learning and adaptability of the algorithm to dynamic environment towards achieving an optimal solution. …”
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  6. 6
    Energy Efficient Technique for Cluster Head Selection and Data gathering in Wireless Sensor Network

    Energy Efficient Technique for Cluster Head Selection and Data gathering in Wireless Sensor Network by Asfandyar, khan, Imran, M., Azween, Abdullah

    Published 2008
    “…Cluster head send the energy level and distance information of each node to base station (BS).Base station selects the cluster-head dynamically on the basis of energy level and distance. …”
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  7. 7
    Multi-sensor fusion based on multiple classifier systems for human activity identification

    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…The study proposes a multi-view ensemble algorithm to integrate predicted values of different motion sensors. …”
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  8. 8
    A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network

    A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network by Almuslehi, Hussein Saad Mohammed

    Published 2023
    “…The ACO algorithm in the Bluetooth M-LPNWSN system reduces energy consumption by 60% over 500 iterations and significantly improves data delivery rates by adapting dynamically to network topology and traffic. …”
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  9. 9
    A reinforcement learning-based energy-efficient spectrum-aware clustering algorithm for cognitive radio wireless sensor network

    A reinforcement learning-based energy-efficient spectrum-aware clustering algorithm for cognitive radio wireless sensor network by Mustapha, Ibrahim

    Published 2016
    “…Simulation results show convergence, learning and adaptability of the RL based algorithms to dynamic environment toward achieving the optimal solutions. …”
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  10. 10
    Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)

    Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO) by Nurul Adilah Abdul Latiff

    Published 2012
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  11. 11
    An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad

    An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad by Taib, Mohd Nasir, Mohd Suah, Faiz Bukhari, Ahmad, Musa

    Published 2005
    “…A three layer feed-forward network was used and the network training was performed using the back-propagation algorithm. Spectra generated from the pH sensor at several selected wavelengths are used as the input for the ANN. …”
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  12. 12
    A generalized laser simulator algorithm for mobile robot path planning with obstacle avoidance

    A generalized laser simulator algorithm for mobile robot path planning with obstacle avoidance by Muhammad, Aisha, Ali, Mohammed A.H., Turaev, Sherzod, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Shanono, Ibrahim Haruna, Alzaid, Zaid, Alruban, Abdulrahman, Alabdan, Rana, Dutta, Ashit Kumar, Almotairi, Sultan

    Published 2022
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  13. 13
    Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks

    Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks by Saleh, Ahmed Mohammed Shamsan

    Published 2012
    “…Thus, our main goal in this thesis is to develop a decentralized energy balancing and locally managed schemes to prolong the lifetime of WSNs and increase its reliability to network dynamics. This thesis presents three decentralized algorithms that are robust,scalable, and can be successfully executed in sensor networks. …”
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  14. 14
    Void avoidance opportunistic routing density rank based for underwater sensor networks

    Void avoidance opportunistic routing density rank based for underwater sensor networks by Ismail, Nasarudin

    Published 2021
    “…However, the OR algorithm had also suffered from as higher traffic load for selection next forwarding nodes in the progression area, which suppressed the redundant forwarding packet and caused communication void. …”
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  15. 15
    Monitoring and determination of CO2 by using optical fibre sensor and artificial neural network / Faiz Bukhari Mohd Suah, Abdul Mutalib Md Jani and Siti Aminah Md Ali

    Monitoring and determination of CO2 by using optical fibre sensor and artificial neural network / Faiz Bukhari Mohd Suah, Abdul Mutalib Md Jani and Siti Aminah Md Ali by Mohd Suah, Faiz Bukhari, Md Jani, Abdul Mutalib, Md Ali, Siti Aminah

    Published 2006
    “…concentration, although there is no difference under 0 1% CO2 gas concentration The sensitivity of the sensor increases with the increase in the dye concentration The relative humidity and the film composition have an important effect on the attenuation difference The application of artificial neural network (ANN) in signal processing of optical fibre pH sensor is presented The pH sensor is developed based on the use of bromophenol blue indicator immobilized in a sol-gel thin film as a sensing material A three layer feed-forward network was used and the network training was performed using the back-propagation (BP) algorithm Spectra generated from the pH sensor at several selected wavelengths are used, as the input data for the ANN. …”
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    Research Reports
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  16. 16
    Adaptive energy efficient circular spinning protocol for dynamic cluster based UWSNs

    Adaptive energy efficient circular spinning protocol for dynamic cluster based UWSNs by Huma Hasan Rizvi, Sadiq Ali Khan, Rabia Noor Enam, Muhammad Naseem, Kashif Nisar, Danda B. Rawat

    Published 2022
    “…In this paper, a new Energy Efficient Circular Spinning (EECS) dynamic clustering algorithm has been proposed to provide an improved cluster setup system and to minimize energy usage in re-clustering or cluster setup. …”
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  17. 17
    Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours

    Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours by Kalid Abdlkader Marsal Salih

    Published 2024
    “…It is also shown that the enhancement for the clustering algorithm may help correlation region to change its cluster formation dynamically to achieve the required network connectivity and increase network performance.…”
    thesis::doctoral thesis
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  18. 18
    An energy efficient reinforcement learning based cooperative channel sensing for cognitive radio sensor networks

    An energy efficient reinforcement learning based cooperative channel sensing for cognitive radio sensor networks by Mustapha, Ibrahim, Mohd Ali, Borhanuddin, Sali, Aduwati, A. Rasid, Mohd Fadlee, Mohamad, Hafizal

    Published 2017
    “…Simulation results show convergence and adaptability of the algorithm to dynamic environment in achieving optimal solutions. …”
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  19. 19
    Speed sensorless control of permanent magnet synchronous motor using model reference adaptive system and artificial neural network / Abdul Mu’iz Nazelan

    Speed sensorless control of permanent magnet synchronous motor using model reference adaptive system and artificial neural network / Abdul Mu’iz Nazelan by Nazelan, Abdul Mu’iz

    Published 2019
    “…This study introduced a new method to train the HMLP network using PSO algorithm. The algorithm is used to find the best weights and biases in the HMLP network in order to minimize the error between the reference and adjustable currents. …”
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  20. 20
    Enhancement of impact force determination with modal transformation method by using integration and data filtering /Khoo Shin Yee

    Enhancement of impact force determination with modal transformation method by using integration and data filtering /Khoo Shin Yee by Khoo, Shin Yee

    Published 2013
    “…However, direct measurement by using force transducer is not practical in some cases due to some difficulties in force sensor configuration. As an alternative, it would be more convenient to just measure the response and dynamic characteristic of a structure by using Operating Deflection Shape (ODS) analysis and Frequency Response Function (FRF) measurement. …”
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