Search Results - (( motion evaluations _ algorithm ) OR ( gender classification using algorithm ))

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    Gender classification on skeletal remains: efficiency of metaheuristic algorithm method and optimized back propagation neural network by Hairuddin, Nurul Liyana, Yusuf, Lizawati Mi, Othman, Mohd Shahizan

    Published 2020
    “…This was to obtain a good combination of parameters in order to produce a better gender classification. This study used 1,538 data samples from Goldman Osteometric Dataset which consisted of femur, humerus and tibia parts. …”
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    Article
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    Multilayer Perceptron Neural Network In Classifying Gender Using Fingerprint Global Level Features by Siti Fairuz, Abdullah, Ahmad Fadzli Nizam, Abdul Rahman, Zuraida, Abal Abas, Wira Hidayat, Mohd Saad

    Published 2016
    “…Background/Objective: A new algorithms of gender classification from fingerprint is proposed based on Acree 25mm2 square area. …”
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    Article
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    Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs by Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl

    Published 2021
    “…Finally, the k-nearest neighbors ( kNN) classification technique was used for automatic gender identification of an emotional-based EEG dataset. …”
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    Article
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    Classification Of Gender Using Global Level Features In Fingerprint For Malaysian Population by Abdullah, Siti Fairuz

    Published 2016
    “…Two classification approaches which are the descriptive statistical and data mining are used in order to examine the classification of the gender by using the five extracted features. …”
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    Thesis
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    Multilanguage speech-based gender classification using time-frequency features and SVM classifier by Wani, Taiba, Gunawan, Teddy Surya, Mansor, Hasmah, Ahmad Qadri, Syed Asif, Sophian, Ali, Ambikairajah, Eliathamby, Ihsanto, Eko

    Published 2021
    “…The classification is done based on features derived from the frequency and time domain processing using the Support Vector Machines (SVM) algorithm. …”
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    Book Chapter
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    Gender identification using support vector machines by Nur Ayuni Binti Jalaluddin

    Published 2023
    “…This research study discusses about the gender identification and it is using support vector machines to meet the objective. …”
    text::Thesis
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    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms by Azwa, Abdul Aziz, Fadhilah, Ahmad

    Published 2014
    “…The comparative analysis is also conducted to discover the best classification model for prediction. From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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    Conference or Workshop Item
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    Development of Low Cost Heart Rate Monitoring Device and Classification Technique Using Fuzzy Logics Algorithm by Faili, Zahra

    Published 2016
    “…This would let end users (physicians/Caregivers) to have a real-time heart rate monitoring without a need of connecting wires from the patient ward/room to the remote station which was designed in MATLAB GUI. The classification of the signal being obtained is achieved through fuzzy logics algorithm inside the MATLAB Fuzzy Logic Toolbox. …”
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    Final Year Project
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    Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin by A. Jalil @ Zainuddin, Siti Zura

    Published 2015
    “…Multivariate analysis of variance (MANOVA) is employed to compare the differences of frequency radiation characteristics between genders. Then, the classification algorithm of k-nearest neighbor (KNN) is employed to discriminate between genders, and between body segments. …”
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    Book Section
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    Gender Classification: A Convolutional Neural Network Approach by Shan, Sung Liew, Mohamed, Khalil-Hani, Syafeeza, Ahmad Radzi, Rabia, Bakhteri

    Published 2016
    “…An approach using a convolutional neural network (CNN) is proposed for real-time gender classification based on facial images. …”
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    Article
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    Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin by A. Jalil @ Zainuddin, Siti Zura

    Published 2014
    “…Multivariate analysis of variance (MANOVA) is employed to compare the differences of frequency radiation characteristics between genders. Then, the classification algorithm of A:-nearest neighbor (KNN) is employed to discriminate between genders, and between body segments. …”
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    Thesis
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    Evaluation of autonomous underwater vehicle motion trajectory optimization algorithms by Abdullah Hussein Abdullah Al-Amoodi

    Published 2023
    “…Evaluation of autonomous underwater vehicle motion trajectory optimization algorithms by Abdullah Hussein Abdullah Al-Amoodi…”
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    article
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    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique by Hardev Singh, Jitvinder Dev Singh

    Published 2015
    “…In the video and frame selection, pre-defined video which have different type of motion and size is used for the algorithm evaluation purpose. …”
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    Thesis
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    An evaluation of optical flow algorithms for crowd analytics in surveillance system by Kajo, I., Malik, A.S., Kamel, N.

    Published 2017
    “…The implementation of optical flow algorithms is investigated and an evaluation of those techniques is provided qualitatively as well as quantitatively. …”
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    Article
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    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…Block-matching algorithm is the most common technique applied in block-based motion estimation technique. …”
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    Book Chapter
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    A review on particle swarm optimization algorithm and its variants to human motion tracking by Saini, S., Rambli, D.R.B.A., Zakaria, M.N.B., Sulaiman, S.B.

    Published 2014
    “…Several approaches have been proposed in the literature using different techniques.However, conventional approaches such as stochastic particle filtering have shortcomings in computational cost, slowness of convergence, suffers from the curse of dimensionality and demand a high number of evaluations to achieve accurate results. Particle swarm optimization (PSO) is a population-based globalized search algorithm which has been successfully applied to address human motion tracking problem and produced better results in high-dimensional search space.This paper presents a systematic literature survey on the PSO algorithm and its variants to human motion tracking. …”
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    Article