Search Results - weight distribution ((((sensor algorithm) OR (control algorithm))) OR (computer algorithm))

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  1. 1

    The comparison study among optimization techniques in optimizing a distribution system state estimation by Hazim Imad, Hazim

    Published 2017
    “…The states of these systems are first estimated through centralized approach using the proposed algorithm to compare with weighted least squares technique. …”
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    Thesis
  2. 2

    Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.] by Mohamed Noor, Noorhayati, Md Din, Norashidah, Kasiran, Zolidah, Khalid, Nor Azimah, Abdullah, Shapina

    Published 2020
    “…To evaluate the proposed clustering algorithm, the performance of sensor networks is compared with CogLEACH, LEACH and CHEF routing protocols. …”
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    Article
  3. 3

    RWP-NSGA II: reinforcement weighted probabilistic NSGA II for workload allocation in fog and internet of things environment by Ariffin, Ahmad Alauddin, Belhaouari, Samir Brahim, Raissouli, Hafsa

    Published 2024
    “…This paper proposes an improved version of NSGA II, namely, reinforcement weighted probabilistic NSGA II, which uses weighted probabilistic mutation. …”
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    Article
  4. 4

    Optimization of PID parameters for hydraulic positioning system utilizing variable weight Grey-Taguchi and particle swarm optimization by Nur Iffah, Mohamed Azmi

    Published 2014
    “…Previously, researchers had integrated PSO algorithms in the PID parameter tuning process. This research aims to improve the PSO-PID tuning algorithms by integrating the tuning process with the Variable Weight Grey-Taguchi Design of Experiment (DOE) method. …”
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  5. 5

    Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy by Fadhil Mukhlif , Aswad Al-Obaidy

    Published 2020
    “…To address such challenges, this thesis proposes a theoretical framework for designing and analyzing the distributed power control algorithms in modern 5G cognitive networks. …”
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  6. 6

    Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

    Published 2022
    “…This study developed an optimized variation of the DV-Hop localization algorithm for anisotropic wireless sensor networks. …”
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  7. 7

    A secure trust aware ACO-Based WSN routing protocol for IoT by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A., Hassan Abdalla Hashim, Aisha

    Published 2022
    “…Bio-inspired mechanisms are shown to be adaptive to environmental variations, robust and scalable, and require less computational and energy resources for designing secure routing algorithms for distributed optimization. …”
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    Article
  8. 8

    Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements by Ramadhan, Mazen Farid Ebrahim

    Published 2022
    “…Cloud computing is a high-performance distributed computing platform that integrates large-scale services. …”
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  9. 9

    A trust aware secure ant colony optimization based routing algorithm for Internet of Things by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A., Hassan Abdalla Hashim, Aisha

    Published 2023
    “…The unique characteristics of IoT networks make them vulnerable to attacks due to the resource constrained nature of IoT and the complex distribution of the network. Moreover, the sensors deployed in these kinds of networks are also energy-constrained. …”
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    Proceeding Paper
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    Optimization of PID Parameters Utilizing Variable Weight Grey-Taguchi Method and Particle Swarm Optimization by Nur Iffah, Mohamed Azmi, Kamal Arifin, Mat Piah, Wan Azhar, Wan Yusoff, F. R. M., Romlay

    Published 2017
    “…Previously, researchers had integrated PSO algorithms in the PID parameter tuning process. This research aims to improve the PSO-PID tuning algorithms by integrating the tuning process with the Variable Weight Grey-Taguchi Design of Experiment (DOE) method. …”
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    Conference or Workshop Item
  11. 11

    FSM-Gear weight-based energy-efficient protocol for illegal logging monitoring using firefly synchronization by Mutiara, Giva Andriana

    Published 2022
    “…WSN consists of many sensor nodes, and to communicate among sensor nodes; the network should be robust with high-signal strength, high computation, and low- power consumption. …”
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    Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications by Bello Tambawal, Abubakar, Noor, Rafidah Md, Salleh, Rosli, Chembe, Christopher, Oche, Michael

    Published 2019
    “…In this study, enhanced weight-based clustering algorithm (EWCA) was developed to address these challenges. …”
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    Article
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    TB-FusionNet: a multi-scale feature fusion algorithm with spatial and channel cross-attention for tuberculosis detection by Ding, Zeyu, Yaakob, Razali, Tieng Wei, Koh, Azman, Azreen, Mohd Rum, Siti Nurulain, Zakaria, Nor Fadhlina, Ahmad Nazri, Azree Shahril

    Published 2026
    “…Next, the algorithm computes the dependencies between feature channels at different levels, allowing low-level channel features to be appropriately enhanced or suppressed under the guidance of high-level channels, effectively improving the semantic consistency between cross-level features. …”
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    Article
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    Design and development of prototype robot gripper for object weight measurement by Almassri, Ahmed M. M.

    Published 2014
    “…In this research, many works are focused to overcome the weaknesses in the current design applications such as the pressure range of sensor. Therefore, this study has proposed a robotic gripper prototype with a new configuration of pressure sensor distribution, based on development of grasping algorithm for object’s weight measurement. …”
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    Thesis
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    New synchronization protocol for distributed system with TCP extension by Bayat, Peyman

    Published 2013
    “…In the worst condition, it optimized 3.99% higher than the most fault-tolerant previous works. The resulting algorithm does not involve variability in the hardware type nor is it based on specific distributed application software or databases. …”
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    Thesis
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