Speech Gender Recognition Using a Multilayer Feature Extraction Method
(2)
(1)
Publication Date
Mon Aug 01 2022
Journal Name
Telkomnika (telecommunication Computing Electronics And Control)
(6)
(2)
Publication Date
Thu Jan 13 2022
Journal Name
Medical & Biological Engineering & Computing
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(14)
Publication Date
Mon Dec 01 2014
Journal Name
2014 Ieee Student Conference On Research And Development
(11)
(10)
Publication Date
Thu Oct 01 2020
Journal Name
Ieee Transactions On Artificial Intelligence
(44)
(41)
Publication Date
Sun Sep 24 2023
Journal Name
Journal Of Al-qadisiyah For Computer Science And Mathematics
Human Recognition Using Ear Features: A Review
Over the past few years, ear biometrics has attracted a lot of attention. It is a trusted biometric for the identification and recognition of humans due to its consistent shape and rich texture variation. The ear presents an attractive solution since it is visible, ear images are easily captured, and the ear structure remains relatively stable over time. In this paper, a comprehensive review of prior research was conducted to establish the efficacy of utilizing ear features for individual identification through the employment of both manually-crafted features and deep-learning approaches. The objective of this model is to present the accuracy rate of person identification systems based on either manually-crafted features such as D
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Publication Date
Sat Jan 01 2022
Journal Name
Proceedings Of International Conference On Computing And Communication Networks
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Publication Date
Sun Jan 01 2017
Journal Name
Iec2017 Proceedings Book
Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter
Feature Extraction
Retrieval Information
Classification
Singular Value
Decomposition
Dimension Reduction
TF-IDF.
(7)
Publication Date
Thu Jan 01 2026
Journal Name
Ieee Transactions On Human-machine Systems
Publication Date
Thu Jan 01 2026
Journal Name
Ieee Transactions On Human-machine Systems
Publication Date
Sun Sep 05 2010
Journal Name
Baghdad Science Journal
Design and Testing a Neutrons and Gamma-Rays Multilayer Shield Using Different Groups of Cross – Sections
A preventing shield for neutrons and gamma rays was designed using alternate layers of water and iron with pre-fixed dimensions in order to study the possibility of attenuating both neutrons and gamma-rays. ANISN CODE was prepared and adapted for the shield calculation using radiation doses calculation: Two groups of cross-section were used for each of neutrons and gamma-rays that rely on the one – dimensional transport equation using discrete ordinate's method, and through transforming cross-section values to values that are independent on the number of groups. The memory size required for the applied code was reduced and the results obtained were in agreement with those of standard acceptable document samples of cross –section, this a
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