Search Results - (( using normalization _ algorithm ) OR ( software visualisation using algorithm ))

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  1. 1

    Effectiveness of algorithm visualisation in studying complex algorithms: a case study using TRAKLA Ravie / Chandren Muniyandi, Ali Maroosi by Muniyandi, Chandren, Maroosi, Ali

    Published 2015
    “…TRAKLA2 is a visualisation tool used to enhance the process of learning algorithm construction and optimization. …”
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    Article
  2. 2

    3D terrain visualisation for GIS: A comparison of different techniques by Ruzinoor, Che Mat, Mohamed Shariff, Abdul Rashid, Mahmud, Ahmad Rodzi, Pradhan, Biswajeet

    Published 2011
    “…Geographic Information System (GIS) applications are now moving towards 3D as it has a better representation of the real world.Most GIS applications now can be visualised not only in 2D but also in 3D.Currently most of the applications are capable of operating in an online environment such as Google Earth, Microsoft Virtual Earth and World Wind.Recently, many people use these online applications for their daily work and also for decision making.Terrain visualisation is an important aspect for these three applications, in visualizing the world in 3D.The quality of terrain visualisation depends on the techniques used by the developer.The research for generating good quality terrain visualisation for depicting the real world is ongoing and faces big challenges. …”
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    Book Section
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    Extracting Object Oriented Software Architecture from C++ Source Code by Mresa, Ali Hussein A.

    Published 2000
    “…This research presents a reverse engineering tool VOO++ that will read an Object- Oriented C++ source code using UML notation in order to visualise its Class structure and the various relationships that may exist including, inheritance, aggregation, and dependency relationships based on the modified Cohen-Sutherland clipping algorithm. …”
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    Thesis
  8. 8

    Gps solution for active queue management using android platform by Liu, Yu Yao

    Published 2021
    “…Since queueing in different locations is considered as a optimisation problem, several algorithms are reviewed to tackle the problem, such as brute force method, nearest neighbour algorithm, and branch and bound algorithm. …”
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    Final Year Project / Dissertation / Thesis
  9. 9

    An alternative approach to normal parameter reduction algorithms for decision making using a soft set theory / Sani Danjuma by Sani , Danjuma

    Published 2017
    “…In addition, the algorithm was relatively easy to understand compare to the state of the art of normal parameter reduction algorithm. …”
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    Thesis
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    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. …”
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    Thesis
  12. 12

    Towards the utilization of normalized LMS algorithm in adaptive filter by Misbah Emhammed, Misbah Abdelsalam, Ho, Yih Hwa

    Published 2014
    “…In this paper, we focused on how the development of algorithms helped reduce the level of noise. This in turn led us to utilize the Least Mean Square (LMS) and Normalized Least Mean Square (NLMS) algorithms in order to do so. …”
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    Article
  13. 13

    Algorithm for calculation of cephalometric soft tissue facial traits by Azam Rana, Mohammad, Setan, Halim, Majid, Zulkepli, Chong, Albert K.

    Published 2007
    “…Up to now Malaysia does not have any source for normal trait values of human face. This algorithm can be used to calculate facial traits for building a nationwide database that can be used to compare normal traits with abnormal ones and then plan the surgery procedures. …”
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    Conference or Workshop Item
  14. 14

    JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation by Abu, Ahmad Zaidee

    Published 2008
    “…This novel algorithm applies coefficients scrambling using Combined-Reverse-and-Normal-Direction (CRND) scanning together with Distorted DC permutation (DDP). …”
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    Thesis
  15. 15

    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. …”
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    Monograph
  16. 16

    Time normalization of LPC feature using warping method by Sudirman, Rubita, Salleh, Sh. Hussain, Khalid, Puspa Inayat, Ahmad, Abd. Hamid

    Published 2005
    “…Another task is to align the input frames (test set) to the reference template (training set) using DTW fixing frame (DTW-FF) algorithm. This proper time normalization is needed since NN is designed to compare data of the same length whilst same speech can varies in their length. …”
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    Article
  17. 17

    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. …”
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    Monograph
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    Taguchi?s T-method with Normalization-Based Binary Bat Algorithm by Marlan Z.M., Jamaludin K.R., Harudin N.

    Published 2025
    “…Specifically, a normalization-based Binary Bat algorithm is used, where discretization of continuous solution into binary form is performed using a normalization equation. …”
    Conference paper
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    Improved normalization and standardization techniques for higher purity in K-means clustering by Dalatu, Paul Inuwa, Fitrianto, Anwar, Mustapha, Aida

    Published 2016
    “…Based on its simplicity, the K-means algorithm has been used in many fields. This paper proposes improved normalization and standardization techniques for higher purity in K-means clustering experimented with benchmark datasets from UCI machine learning repository and it was found that all the proposed techniques’ performance was much higher compared to the conventional K-means and the three classic transformations, and it is evidently shown by purity and Rand index accuracy results.…”
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    Article
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    Scheduling tight deadlines for scientific workflows in the cloud by Bajaher, Awadh Salem Saleh

    Published 2018
    “…The performance evaluation is done using two different performance metrics, success rate and normalized cost. …”
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    Thesis