Search Results - (( gender extraction method algorithm ) OR ( java implication tree algorithm ))

Development of a fingerprint gender classification algorithm using fingerprint global features by Abdullah, Siti Fairuz, Abdul Rahman, Ahmad Fadzli Nizam, Abal Abas, Zuraida, Mohd Saad, Wira Hidayat

“…This study is meant to enhance the forensic manual method by proposing a new algorithm for fingerprint global feature extraction for gender classification. …”
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Classification Of Gender Using Global Level Features In Fingerprint For Malaysian Population by Abdullah, Siti Fairuz

“…A new approach of algorithm based on the Mark Acree’s theory, focusing on fingerprint global extracted features is proposed and implemented for enhancing gender classification method. …”
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Gender identification of children using hidden Markov model based on Mel-frequency cepstral coefficient / Adira Ibrahim by Adira, Ibrahim

“…Mel Frequency Cepstral Coefficient (MFCC) was applied as the feature extraction method. HMM was trained with Baum-Welch algorithm and tested with Viterbi algorithm to get the gender identification accuracy. …”
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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

“…Therefore, we can conclude that this new algorithm is very efficient and effective in classifying gender. …”
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An enhancement of age and gender classification accuracy with hybrid handcrafted and deep features using hierarchical extreme learning machine / Mohammad Javidan Darugar by Mohammad Javidan , Darugar

“…Age and gender classification are some of the essential algorithms that have many use cases in our everyday life. …”
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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

“…In this paper, we propose a time-frequency method for the classification of gender-based on the speech signal. …”
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An improvement of back propagation algorithm using halley third order optimisation method for classification problems by Abdul Hamid, Norhamreeza

“…This algorithm utilises first order optimisation method namely Gradient Descent (GD) method which attempts to minimise the error of network. …”
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Facial geometry and speech analysis for depression detection by Pampouchidou, A., Simantiraki, O., Vazakopoulou, C.-M., Chatzaki, C., Pediaditis, M., Maridaki, A., Marias, K., Simos, P., Yang, F., Meriaudeau, F., Tsiknakis, M.

“…The proposed system has been tested both in gender independent and gender based modes, and with different fusion methods. …”
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Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method by Al-Mohair, Hani Kaid Saif

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Characteristics of electronic cigarette and vape users in Malaysia: Lessons from decision tree analysis by Kartiwi, Mira, Nik Mohamed, Mohamad Haniki, Ab Rahman, Jamalludin, Draman, Samsul, Ab Rahman, Norny Syafinaz

“…Materials and Methods: A number of simulations was carried out on the dataset which was extracted from the National Electronic Cigarette Survey (NECS) 2016. …”
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Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis by Razalli, Husniza

“…Although the estimation result promising, the method still have limitation because it’s work with manual calibration to detect, to extract all the landmark point to estimate human facial age. …”
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Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis by Kartiwi, Mira, Ab Rahman, Jamalludin, Nik Mohamed, Mohamad Haniki, Draman, Samsul, Ab Rahman, Norny Syafinaz

“…Methods: The dataset was extracted from the National Electronic Cigarette Survey (NECS) 2016.A total of 4,288 responses were collected. …”
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Speaker identification through feature fusion based deep learning / Rashid Jahangir by Rashid , Jahangir

“…Finally, this study also investigated the effectiveness of one-level (identifying speaker) and two-level (identify the gender first and then identify the speaker) classification methods for speaker identification. …”
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Human odour detection approach using machine learning by Ahmed Qusay Sabri

“…The unsurpassed framework for learning algorithm to be used for human identification is Levenberg-Marquardt backpropagation learning algorithm. …”
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Analyzing customer reviews for ARBA Travel using sentiment analysis by Abdullah, Nurulain

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Identifying Features Eligiblity For Blood Donors' Preferences Using Artificial Neural Networks Prediction Performances by Che Khalid, Nor Syuhada

“…However, this information required must be up-to-date, prepared systematically as prediction components, needed to scale down based on specifics target groups to make information extraction become better, and prediction algorithm has to adaptable with several sample sizes and features types because data may origin from different sources will have variety of datasets. …”
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Health inequities in medical crowdfunding: a systematic review by Cai, Yingying, Kamarudin, Syafila, Jiang, Xiaoyu, Zhou, Baiyu

“…Guided by the PROGRESS framework, we extracted data on socioeconomic determinants of health disparities. …”
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Multiview face emotion recognition using geometrical and texture features by Goodarzi, Farhad

“…A 3D face pose estimation algorithm detects head rotations of Yaw, Roll and Pitch for emotion recognition. …”
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