Search Results - (( program segmentation using algorithm ) OR ( parameter detection packet algorithm ))

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  1. 1
    Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar

    Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar by Seyed Alireza, Ravanfar

    Published 2017
    “…This resulted in the high accuracy of the damage detection algorithm. The second proposed method seeks to identify damage in the structural parameters of linear and nonlinear systems. …”
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  2. 2
    Intelligent fault diagnosis for broken rotor bar using wavelet packet signature analysis

    Intelligent fault diagnosis for broken rotor bar using wavelet packet signature analysis by Zolfaghari, Sahar

    Published 2016
    “…In order to alleviate the time-variant characteristics of the wavelet packet transform coefficients, statistical parameters of wavelet packet coefficients are calculated. …”
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  3. 3
    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification

    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification by Al-Kharasani, Ameen Mohammed Abdulkarem

    Published 2019
    “…Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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  4. 4
    Mitigating Slow Hypertext Transfer Protocol Distributed Denial of Service Attacks in Software Defined Networks

    Mitigating Slow Hypertext Transfer Protocol Distributed Denial of Service Attacks in Software Defined Networks by Akanji, Oluwatobi Shadrach, Abisoye, Opeyemi Aderiike, Iliyasu, Mohammed Awwal

    Published 2021
    “…Genetic algorithm was used to select the Netflow features which indicates the presence of an attack and also determine the appropriate regularization parameter, C, and gamma parameter for the Support Vector Machine classifier. …”
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  5. 5
    Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset

    Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset by Chiang, Yi Fan

    Published 2017
    “…In post-processing, the contour of liver is smooth by binary Gaussian filter. The liver segmentation program with proposed algorithm is evaluated with CT datasets obtained from SLIVER07 to prove its effectiveness in liver segmentation. …”
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  6. 6
    Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques

    Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques by Mustafa, Ahmed Sudad

    Published 2017
    “…In this thesis, a hybrid detection algorithm mechanism has been proposed which combines two detection algorithms based on nodes’ trustworthiness and energy consumption in a parallel manner in order to detect the black hole nodes. …”
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  7. 7
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
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  8. 8
    New synchronization protocol for distributed system with TCP extension

    New synchronization protocol for distributed system with TCP extension by Bayat, Peyman

    Published 2013
    “…Thus, the new protocol is available to the communicating packets across all computer networks. The new messages and parameters could add to the available option part in the TCP packet header format, which has some free places. …”
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  9. 9
    Adaptive Medium Access Control (ADT-MAC) Protocol for Dynamic Medical Traffic with Quality of Service (QoS) provisioning in Wireless Body Area Network (WBAN)

    Adaptive Medium Access Control (ADT-MAC) Protocol for Dynamic Medical Traffic with Quality of Service (QoS) provisioning in Wireless Body Area Network (WBAN) by Wan Hassan, Wan Haszerila

    Published 2025
    “…Additionally, an M/M/l queuing algorithm with a non-preemptive priority is modeled using SimEvents in MATLAB to validate the packet delay of different priority queues. …”
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  10. 10
    Effects of Authentication of Users in Mobile Internet Protocol Version 6

    Effects of Authentication of Users in Mobile Internet Protocol Version 6 by Obenofunde, Simon Tabi

    Published 2004
    “…Presently, mobility is difficult, if not impossible to detect at the application layer though easily detectable at the network layer. …”
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  11. 11
    Framework for stream clustering of trajectories based on temporal micro clustering technique

    Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

    Published 2018
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  12. 12
    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu

    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

    Published 2005
    “…The project used Back-propagation Neural Network for the algorithm to classified images. …”
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  13. 13
    Word segmentation of output response for sign language devices

    Word segmentation of output response for sign language devices by Za'bah, Nor Farahidah, Muhammad Nazmi, Ahmad Amierul Asyraf, Azman, Amelia Wong

    Published 2020
    “…The proposed text segmentation method in this work is by using the dynamic programming and back-off algorithm, together with the probability score using word matching with an English language text corpus. …”
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  14. 14
    Incremental learning for large-scale stream data and its application to cybersecurity

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…Usually, it is hard to detect DDoS backscatter from the unlabeled packets, where an expert is needed to analyze every packet manually. …”
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  15. 15
    IMPROVING QoS OF VoWLAN VIA CROSS-LAYER BASED ADAPTIVE APPROACH

    IMPROVING QoS OF VoWLAN VIA CROSS-LAYER BASED ADAPTIVE APPROACH by AHMED ALI ALSHAKHSI, SAMEHA

    Published 2013
    “…The results ofall measured quality parameters have…”
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  16. 16
    Supervised retinal vessel segmentation based on neural network using broader aging dataset

    Supervised retinal vessel segmentation based on neural network using broader aging dataset by Che Azemin, Mohd Zulfaezal, Abd Hamid, Fadilah, Mohd Tamrin, Mohd Izzuddin, Muhamad Amin, Anang Hudaya

    Published 2014
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  17. 17
    Interactive blood vessel segmentation from retinal fundus image based on canny edge detector

    Interactive blood vessel segmentation from retinal fundus image based on canny edge detector by Ibrahim, Haidi, Ooi, Alexander Ze Hwan, Soo, Siang Teoh, Embong, Zunaina, Abd Hamid, Aini Ismafairus, Zainon, Rafidah, Shir, Li Wang, Theam, Foo Ng, Hamzah, Rostam Affendi

    Published 2021
    “…The program will draw out the vessel edges. After that, those vessel edges will be segmented to bring focus on its details or detect the abnormal vessel. …”
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  18. 18
    Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging

    Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging by Norhasmira, Mohammad, Anuar Mikdad, Muad, Rohana, Ahmad, Mohd Yusmiaidil, Putera Mohd Yusof

    Published 2022
    “…Results: Image segmentation using the DP-AC algorithm enhanced the visibility of the image features in the region of interest while suppressing the image’s background noise. …”
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  19. 19
    Fast recovery of unknown coefficients in DCT-transformed images

    Fast recovery of unknown coefficients in DCT-transformed images by Ong, Sim Ying, Li, Shujun, Wong, Kok Sheik, Tan, Kuan Yew

    Published 2017
    “…In this paper, we propose a fast hierarchical DCT coefficients recovery method by combining image segmentation and linear programming. In theory the proposed method can reduce the overall time complexity by a linear factor which is the number of image segments used. …”
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  20. 20
    STATISTICAL FEATURE LEARNING THROUGH ENHANCED DELAUNAY CLUSTERING AND ENSEMBLE CLASSIFIERS FOR SKIN LESION SEGMENTATION AND CLASSIFICATION

    STATISTICAL FEATURE LEARNING THROUGH ENHANCED DELAUNAY CLUSTERING AND ENSEMBLE CLASSIFIERS FOR SKIN LESION SEGMENTATION AND CLASSIFICATION by Adil H., Khan, Dayang Nurfatimah, Awang Iskandar, Jawad F., Al-Asad, SAMIR, EL-NAKLA, SADIQ A., ALHUWAIDI

    Published 2021
    “…A boost ensemble learning algorithm using Support Vector Machines (SVM) as initial classifiers and Artificial Neural Networks (ANN) as a final classifier is employed to learn the patterns of different skin lesion class features. …”
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