Search Results - (( basic data normalization algorithm ) OR ( java implication based algorithm ))

Search alternatives:

Refine Results
  1. 1
    Improved normalization and standardization techniques for higher purity in K-means clustering

    Improved normalization and standardization techniques for higher purity in K-means clustering by Dalatu, Paul Inuwa, Fitrianto, Anwar, Mustapha, Aida

    Published 2016
    “…Clustering is basically one of the major sources of primary data mining tools, which make researchers understand the natural grouping of attributes in datasets. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    New approaches to normalization techniques to enhance k-means clustering algorithm

    New approaches to normalization techniques to enhance k-means clustering algorithm by Dalatu, Paul Inuwa, Midi, Habshah

    Published 2020
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Voting algorithms for large scale fault-tolerant systems

    Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

    Published 2011
    “…By extracting various plots from different aspects, we demonstrated that, compared to the basic algorithm, our algorithm has higher reliability and availability as the quantity of the input data increases. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model

    Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model by Sulaiman , Marizan, Adnan, Tawafan, Ibrahim, Zulkifilie

    Published 2013
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Performance enhancement of adaptive cluster formation and routing protocols in wireless networks

    Performance enhancement of adaptive cluster formation and routing protocols in wireless networks by Khalaf, Osamah Ibrahem

    Published 2017
    “…This thesis describes an analysis on the effect of these challenges on the perceived video quality over MANET which is considered the important network in many studies. An enhanced algorithm has been suggested to improve the video quality using routing algorithm which is used to transfer the data packets with minimum number of errors. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Forgery detection in medical images using Complex Valued Neural Network (CVNN)

    Forgery detection in medical images using Complex Valued Neural Network (CVNN) by Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Zeki, Akram M., Aburas, Abdurazzag Ali

    Published 2011
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Agent-based extraction algorithm for computational problem solving

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…The basic statistical frequency method was used to analyse the performance result. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
    Save to List
    Saved in:
  10. 10
    Dynamic traffic light flow control system using on-road sensor technology / Mohamed Irfan

    Dynamic traffic light flow control system using on-road sensor technology / Mohamed Irfan by Mohamed , Irfan

    Published 2017
    “…The controller uses Traffic Light Signal Manipulation Algorithm (TLSMA) to dynamically change in the traffic signals by using the data generated by the sensors. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    A Review on the Development of Indonesian Sign Language Recognition System

    A Review on the Development of Indonesian Sign Language Recognition System by Jasni, Mohamad Zain, Sutarman, na, Mazlina, Abdul Majid

    Published 2013
    “…However, communication with normal people is a major handicap for them since normal people do not understand their sign language. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification

    Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification by Hadi Helmi Md Zuraini, Rimuljo Hendradi, Army Justitia, Waidah Ismail

    Published 2024
    Get full text
    journal::journal article
    Save to List
    Saved in:
  13. 13
    Machine learning as new approach for predicting of maxillary sinus volume, a sexual dimorphic study

    Machine learning as new approach for predicting of maxillary sinus volume, a sexual dimorphic study by Hamd, Zuhal Y., Aljuaid, Hanan, Alorainy, Amal I., Osman, Eyas G., Abuzaid, Mohamed, Elshami, Wiam, Elhussein, Nagwan, Gareeballah, Awadia, Pathan, Refat Khan, Naseer, K.A., Khandaker, Mayeen Uddin *, Ahmed, Wegdan

    Published 2023
    “…In this retrospective study, we used data from 150 patients with normal maxillary sinuses to train and evaluate a Python ML algorithm for its ability to predict MSV from basic patient demographics (age, gender) and sinus length measurements in three directions (anteroposterior, mediolateral, and superoinferior). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Robust Kernel Density Function Estimation

    Robust Kernel Density Function Estimation by Dadkhah, Kourosh

    Published 2010
    “…The results of the study indicate that the proposed methods are capable of labelling normal observation and potential outliers in a data set. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Extention and cryptanalysis of golden cryptography

    Extention and cryptanalysis of golden cryptography by Sharabyan, Mohammad Tahghighi

    Published 2015
    “…On the other hand, the encryption algorithm of GC is more suitable for textual data and cannot be directly applied to images. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Challenges of hidden data in the unused area two within executable files

    Challenges of hidden data in the unused area two within executable files by Naji, Ahmed Wathik, Zaidan, A.A., Zaidan, B.B.

    Published 2009
    “…Results: The programs were coded in Java computer language and implemented on Pentium PC. The designed algorithms were intended to help in proposed system aim to hide and retract information (data file) with in unused area 2 of any execution file(exe.file). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Comparison of Landsat 8, Sentinel-2 and spectral indices combinations for Google Earth Engine-based land use mapping in the Johor River Basin, Malaysia

    Comparison of Landsat 8, Sentinel-2 and spectral indices combinations for Google Earth Engine-based land use mapping in the Johor River Basin, Malaysia by Ju, Zeng, Tan, Mou Leong, Narimah Samat, Chang, Chun Kiat

    Published 2021
    “…It is also an indispensable basic information for local land management departments in land use planning and management. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf

    Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf by Soh , Meng Wah

    Published 2015
    “…Keputusan ujian keseluruhan adalah 83.27% bagi set data biasa, 71.83% untuk urutan yang mempunyai persamaan <0.7, dan 91.49% untuk CAMP set data. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour

    Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour by Neyamadpour, Ahmad

    Published 2010
    “…These results show that,for all the arrays (2D and 3D) except 3D pole - dipole data, resilient propagation is the most efficient algorithm for training the DC resistivity data. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Mean of correlation method for optimization of affective states detection in children

    Mean of correlation method for optimization of affective states detection in children by Rusli, Nazreen, Sidek, Shahrul Na'im, Md Yusuf, Hazlina, Ishak, Nor Izzati

    Published 2018
    “…With the requirement of having the measuring device attached to the body approach, distraction of the subject normally masks the true affective states of the subject due to discomfort. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: