Search Results - (( data estimation path algorithm ) OR ( data normalization based algorithm ))

Refine Results
  1. 1

    A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm by Masood, Kamal

    Published 2015
    “…The proposed model serves as path-independent fatigue life estimating tool hence can be used with any type of loading conditions. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms by Ridha, Hussein Mohammed

    Published 2020
    “…Secondly, the modeling method of the proposed PV module is validated by experimental data. In the sizing of the SAPV system, the mutation adaptive DE (MADE) algorithm based multi-objective functions minimizes three constraint objective functions. …”
    Get full text
    Get full text
    Thesis
  3. 3

    A smart marker-based indoor navigation system by Teoh, Zhen Quan

    Published 2024
    “…The proposed system also employs algorithms to calculate the shortest path for navigation and estimate the user position for localization when the user scans a marker. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  4. 4

    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

    Published 2016
    “…Furthermore, variable databus widths are used in the data path of the proposed architecture, which leads to reducing the hardware cost and silicon area. …”
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5

    A Continuous Overlay Path Probing Algorithm For Overlay Networks by Feily, Maryam

    Published 2013
    “…Active measurement techniques performed by overlay nodes can provide bandwidth estimations of an end-to-end overlay path. This thesis describes a new algorithm called “COPPA,” which is an in-band path probing algorithm for measuring the end-to-end available bandwidth of an overlay path accurately and continuously. …”
    Get full text
    Get full text
    Thesis
  6. 6

    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

    Published 2008
    “…The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Delay-based load-balancing routing (DLBR) algorithm for wireless ad-hoc networks by Habib, I., Badruddin, N., Drieberg, M.

    Published 2015
    “…The DLBR then uses this metric to select high capacity links for data forwarding, thus providing paths with less congested nodes and high capacity links. …”
    Get full text
    Get full text
    Conference or Workshop Item
  8. 8

    Delay-based load-balancing routing (DLBR) algorithm for wireless ad-hoc networks by Habib, I., Badruddin, N., Drieberg, M.

    Published 2015
    “…The DLBR then uses this metric to select high capacity links for data forwarding, thus providing paths with less congested nodes and high capacity links. …”
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9

    Novel Link Establishment Communication Scheme against Selfish Attack Using Node Reward with Trust Level Evaluation Algorithm in MANET by Hemalatha, S., Kshirsagar, P.R., Manoharan, H., Vasantha Gowri, N., Vani, A., Qaiyum, S., Vijayakumar, P., Tirth, V., Haleem, S.L.A., Chakrabarti, P., Teressa, D.M.

    Published 2022
    “…This scheme selects genuine node for routing path production, by using the node reward with dependence level estimating algorithm to compute every node trust level and resource range, to disconnect higher trust level node and lower trust level node; higher trust level node is a genuine node which performs secure communication. …”
    Get full text
    Get full text
    Article
  10. 10

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    A network aware based recommender system for VOIP application service in eLearning environment / Nazdiana Ab. Wahab by Ab. Wahab, Nazdiana

    Published 2009
    “…Pathload has been chosen as a measurement tool that estimates the available bandwidth of a network path.…”
    Get full text
    Get full text
    Thesis
  13. 13
  14. 14

    Accurate range free localization in multi-hop wireless sensor networks by Abdulwahhab, Abdullah Raed

    Published 2019
    “…Finally, the GMSDP- algorithm achieves and provides a better value of RMSEs and the greatest localization estimation errors comparing with the CRLR algorithm and WLS algorithm.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  15. 15

    Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks by Azam Khalili, Vahid Vahidpour, Amir Rastegarnia, Ali Farzamnia, Teo, Kenneth Tze Kin, Saeid Sanei

    Published 2021
    “…To implement the ILMS algorithm, each node needs to receive the local estimate of the previous node on the cycle path to update its own local estimate. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  17. 17
  18. 18

    The effect of dose calculation algorithms on the normal tissue complication probability values of thoracic cancer by Ahmad, Noor Ashikin

    Published 2015
    “…Purpose: To identify the effect of dose calculation algorithms on the Normal Tissue Complication Probability values of thoracic cancer. …”
    Get full text
    Get full text
    Monograph
  19. 19

    A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

    Published 2005
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
    Get full text
    Monograph
  20. 20

    Data normalization techniques in swarm-based forecasting models for energy commodity spot price by Yusof, Yuhanis, Mustaffa, Zuriani, Kamaruddin, Siti Sakira

    Published 2014
    “…Data mining is a fundamental technique in identifying patterns from large data sets.The extracted facts and patterns contribute in various domains such as marketing, forecasting, and medical.Prior to that, data are consolidated so that the resulting mining process may be more efficient.This study investigates the effect of different data normalization techniques.which are Min-max, Z-score and decimal scaling, on Swarm-based forecasting models.Recent swarm intelligence algorithms employed includes the Grey Wolf Optimizer (GWO) and Artificial Bee Colony (ABC).Forecasting models are later developed to predict the daily spot price of crude oil and gasoline.Results showed that GWO works better with Z-score normalization technique while ABC produces better accuracy with the Min-Max.Nevertheless, the GWO is more superior than ABC as its model generates the highest accuracy for both crude oil and gasoline price.Such a result indicates that GWO is a promising competitor in the family of swarm intelligence algorithms.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item