Search Results - (( java segmentation using algorithm ) OR ( using ((complex using) OR (samples using)) algorithm ))

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  1. 1
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  2. 2
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  3. 3
    Adaptive interference canceller using analog algorithm with offset voltage

    Adaptive interference canceller using analog algorithm with offset voltage by Mohammed, Alaa Hadi

    Published 2015
    “…In addition, the output Signal to Interference Ratio (SIR) using the proposed algorithm has been doubled compared to NLMS and RLS algorithms.…”
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  4. 4
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  5. 5
    Eye Diagram Modeling Of High-Speed Channels Using Artificial Neural Networks With An Improved Adaptive Sampling Algorithm

    Eye Diagram Modeling Of High-Speed Channels Using Artificial Neural Networks With An Improved Adaptive Sampling Algorithm by Goay, Chan Hong

    Published 2019
    “…This work proposes an improvement to the original adaptive sampling algorithm and uses it as the sampling method for eye diagram modeling. …”
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  6. 6
    Evolutionary deep belief networks with bootstrap sampling for imbalanced class datasets

    Evolutionary deep belief networks with bootstrap sampling for imbalanced class datasets by Amri, A’inur A’fifah, Ismail, Amelia Ritahani, Mohammad, Omar Abdelaziz

    Published 2019
    “…However, when handling imbalanced class data, DBN encounters low performance as other machine learning algorithms. In this paper, the genetic algorithm (GA) and bootstrap sampling are incorporated into DBN to lessen the drawbacks occurs when imbalanced class datasets are used. …”
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  7. 7
    Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis

    Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis by Janahiraman T.V., Omar J., Farukh H.N.

    Published 2023
    “…The DCT has the capability to compact the energy in an image and let the dimensionality of the input sample space to be reduced. Then, KFDA, a new variant of FLD, will be used to extract the most discriminating feature. …”
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  8. 8
    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION

    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION by P ISKANDAR, YULITA HANUM

    Published 2006
    “…Heuristic algorithm is an important module widely used for humanoid robots and avatars in VR systems. …”
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  9. 9
    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score

    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

    Published 2021
    “…The methodology is proposed as stacking ensemble ML and the best ML algorithms are used as a base learner to compute relative feature weights. …”
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  10. 10
    Real-time shadow casting using fake soft shadow volume with stencil buffer

    Real-time shadow casting using fake soft shadow volume with stencil buffer by Lee, Kong Weng

    Published 2006
    “…The algorithm is implemented using C++ and OpenGL where the occluders are ranging from simple to complex objects. …”
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  11. 11
    SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA

    SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA by AHMED IZZELDIN, HUZAIFA TAWFEIG

    Published 2012
    “…The proposed data store management technique is combined with the central finite difference based gradient estimate to generate a model robust against both correlated data and irregular sampled data. Three nonlinear dynarnical test cases are used as a benchmark in this thesis which is single, split level and V-shape tanks system with varying complexity and correlation level to provide suitable testing conditions.…”
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  12. 12
    Performance Measurement on Deep Spiking Neural Network (DSNN) Algorithm in Flood Prediction Environment

    Performance Measurement on Deep Spiking Neural Network (DSNN) Algorithm in Flood Prediction Environment by Roselind, Tei

    Published 2023
    “…There are several algorithms used to predict floods, including LSTM, BP, MLP, SARIMA, and SVM. …”
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  13. 13
    A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition

    A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition by Koh J.S., Tan R.H.G., Lim W.H., Tan N.M.L.

    Published 2025
    “…A new deterministic peak hopping (PH)-based MPPT algorithm with simple mechanisms is proposed to address these complex PSCs. …”
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  14. 14
    Segmentation of MRI brain images using statistical approaches

    Segmentation of MRI brain images using statistical approaches by Balafar, Mohammad Ali

    Published 2011
    “…The segmentation of brain MRI images is a challenging and complex task, due to noise and inhomogeneity. The Gaussian Mixture Model (GMM) is a clustering algorithm that is commonly used for brain MRI segmentation. …”
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  15. 15
    Pixel-based skin color detection technique

    Pixel-based skin color detection technique by Zaqout, I., Zainuddin, R., Baba, S.

    Published 2005
    “…In this paper we have used a simple and efficient color-based approach to segment human skin pixels from complex background, using a 2-D histogram-based approach. …”
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  16. 16
    Effectiveness of algorithm visualisation in studying complex algorithms: a case study using TRAKLA Ravie / Chandren Muniyandi, Ali Maroosi

    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
    “…Students then used TRAKLA2to learn five different types of algorithms. …”
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  17. 17
    An FPGA based embedded vision system for real-time motion detection

    An FPGA based embedded vision system for real-time motion detection by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw

    Published 2015
    “…Due to its paramount importance for background subtraction algorithms to disregard unimportant movements such as camera jitter and tree branches, a multi model sigma delta algorithm was used. …”
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  18. 18
    Image Analysis of Sludge Aggregates in Palm Oil Mill Effluent (POME)

    Image Analysis of Sludge Aggregates in Palm Oil Mill Effluent (POME) by Rizal Song, Ian Norman

    Published 2015
    “…Thus, this algorithm can be used to identify bulking problems in the POME and establish the true nature of the phenomenon occurring inside the activated sludge system which normally will affect the quality of the effluent…”
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    Final Year Project
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  19. 19
    A Faster External Sorting Algorithm Using No Additional Disk Space

    A Faster External Sorting Algorithm Using No Additional Disk Space by Islam, Md. Rafiqul, Md. Sap, Mohd. Noor, Sarker, Md. Sumon, Islam, Sk. Razibul

    Published 2006
    “…Both the time and I/O complexities of the proposed algorithm are analyzed here and compared with the complexities of the existing similar algorithms. …”
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  20. 20
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…Dense sampling and Difference of Gaussian (DoG) have been used in previous studies but were unable to detect salient interest points due to complex appearance of food images. …”
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