Search Results - (( java active learning algorithm ) OR ( basic complex data algorithm ))

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  1. 1

    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. …”
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    Thesis
  2. 2

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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    Thesis
  3. 3

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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    Monograph
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    A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods by Ng, Ing Kye

    Published 2014
    “…Third, the range which is defined as left or right is used for gesture recognition. Lastly, the basic transformation such as rotation, translation and scale is executed if a data motion lies within the range. …”
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    Academic Exercise
  7. 7

    CHAOS BASED BLOCK ENCRYPTOR by SARIN, FARHANA

    Published 2008
    “…This project is basically a block encryption to protect block of data. …”
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    Final Year Project
  8. 8

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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    Thesis
  9. 9

    Accelerating graph algorithms with priority queue processor by Heng Sun, Ch'ng, Eik Wee, Chew, Shaikh-Husin, Nasir, Hani, Mohamed Khalil

    Published 2006
    “…Many graph algorithms are organized as simple elaborations of basic graph searching algorithms. …”
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    Article
  10. 10

    A highly efficient algorithm for phased-array mmWave massive MIMO beamforming by Althuwayb, Ayman Abdulhadi, Hashim, Fazirulhisyam, Liew, Jiun Terng, Khan, Imran, Jeong, Woo Lee, Affum, Emmanuel Ampoma, Ouahabi, Abdeldjalil, Jacques, Sébastien

    Published 2021
    “…Simulation results show that the proposed algorithm significantly improves system performance and reduces computational complexity by more than 45% compared to traditional algorithms.…”
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    Article
  11. 11

    Recursive Subspace Identification Algorithm Using The Propagator Based Method by Jamaludin, Irma Wani, Abdul Wahab, Norhaliza

    Published 2017
    “…However, because of the SVD computational complexity that involved in the algorithm, the classical SMI algorithms are not suitable for online application. …”
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    Article
  12. 12

    Dynamic Feedback Flow Control Algorithms for Unicast and Multicast Available Bit Rate Service in Asynchronous Transfer Mode Networks by Abdelrahman, Ali Mohamed

    Published 2000
    “…The rest may be implemented with additional complexity. Secondly, the research shifts to the problems of point-to-multipoint algorithms by introducing the basic concept of multicasting ABR servIce and reviewing a group of consolidation schemes, where the compromise between low consolidation nOlse and fast transient response is the main issue. …”
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    Thesis
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    Fuzzy parameterized complex multi-fuzzy soft expert set theory and its application in decision-making by Al-Qudah, Yousef Ali Abed, Hassan, Mazlan, Hassan, Nasruddin

    Published 2019
    “…A recent focus has been the analysis of a complex data set using the properties of fuzzy concept lattice and the complex soft set. …”
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    Article
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    Projected majorized-correlation technique for noise filtering and accuracy in orthogonal frequency division multiplexing by Alsaadi, Alaa Abdullah Mohammed

    Published 2020
    “…PQMCC technique is proposed to reduce the power of noise in OFDM signal, arise the accuracy of received signal and decrease the complexity. Precisely, by proposing the projected signal (py>) in PQMCC technique has solved the three main issues: power of noise, accuracy in received random signal (y>) and complexity in Tight Quadratic Majorization algorithm (TQM) for Phase Noise Estimation Technique. …”
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    Thesis
  17. 17

    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory by Rusli, Julie Roslita

    Published 2011
    “…A user-friendly Graphical User Interface (GUI) is developed using Microsoft Visual Basic software to load and display the algorithm under test and display the result. …”
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    Thesis
  18. 18

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

    Published 2015
    “…The performance of the tool has been tested using 20 data sets of scenario CPS, created by the researcher. …”
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    Thesis
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    Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

    Published 2022
    “…Besides, the weighted coefficient and centroid algorithm is employed to reduce cumulative error by hop count and cut down computational complexity. …”
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    Thesis
  20. 20

    MODELLING AND SIMULATION OF AIR POLLUTION EMISSION USING LINE SOURCE DISPERSION MODEL by MEOR KAMARUL ZAMAN, MAI NAZURA

    Published 2009
    “…Measured traffic and meteorological data were used as the input parameters in the model. …”
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    Final Year Project