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Facial expression recognition using deep learning 使用深度学习的面部表情识别
Pub Date : 2021-03-02 DOI: 10.1063/5.0042221
H. Shehu, Md. Haidar Sharif, S. Uyaver
Facial expression recognition has become an increasingly important area of research in recent years. Neural network- based methods have made amazing progress in performing recognition-based tasks, winning competitions set up by various data science communities, and achieving high performance on many datasets. Miscellaneous regularization methods have been utilized by various researchers to help combat over-fitting, to reduce training time, and to generalize their models. In this paper, by applying the Haar Cascade classifier to crop faces and focus on the region of interest, we hypothesize that we would attain a fast convergence without using the whole image to analyze facial expressions. We also apply label smoothing and analyze its effect on the databases of CK+, KDEF, and RAF. The ResNet model has been employed as an example of a neural network model. Label smoothing has demonstrated an improvement of the recognition accuracy up to 0.5% considering CK+ and the KDEF databases. While the application of Haar Cascade has shown to decrease the achieved accuracy on KDEF and RAF databases with a small margin, fast convergence of the model has been observed.
近年来,面部表情识别已成为一个日益重要的研究领域。基于神经网络的方法在执行基于识别的任务,赢得各种数据科学社区设立的比赛以及在许多数据集上实现高性能方面取得了惊人的进展。各种各样的正则化方法已经被各种各样的研究人员用来帮助对抗过度拟合,减少训练时间,并推广他们的模型。在本文中,通过应用Haar级联分类器来裁剪人脸并聚焦于感兴趣的区域,我们假设我们可以在不使用整个图像来分析面部表情的情况下实现快速收敛。我们还应用了标签平滑,并分析了其对CK+、KDEF和RAF数据库的影响。本文以ResNet模型作为神经网络模型的一个例子。考虑到CK+和KDEF数据库,标签平滑已经证明识别精度提高了0.5%。虽然Haar Cascade的应用已经显示出在KDEF和RAF数据库上以很小的余量降低了达到的精度,但已经观察到模型的快速收敛。
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引用次数: 4
A look on separation axioms in neutrosophic topological spaces 中性拓扑空间中分离公理的探讨
Pub Date : 2021-03-02 DOI: 10.1063/5.0042370
A. Acikgoz, F. Esenbel
This study is dedicated to make an attempt to define different types of separation axioms in neutrosophic topological spaces. The relationships among them are shown with a diagram and counterexamples. We also introduce some new notions, such as neutrosophic quasi-coincidence, neutrosophic q-neighborhood, neurosophic cluster point, and give a new definition for neutrosophic function.
本研究致力于在中性拓扑空间中定义不同类型的分离公理。用图表和反例说明了它们之间的关系。引入了嗜中性拟重合、嗜中性q邻域、嗜中性聚类点等新概念,并给出了嗜中性函数的新定义。
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引用次数: 5
An interpretation of G-continuity in neutrosophic soft topological spaces 中性软拓扑空间中g -连续性的解释
Pub Date : 2021-03-02 DOI: 10.1063/5.0042188
H. Cakalli, A. Acikgoz, F. Esenbel
Scientists have always adopted the concept of sequential continuity as an indispensable subject, not only in Topology but also in some other branches of Mathematics. Connor and Grosse-Erdmann gave this concept for real functions by using an arbitrary linear functional G defined on a linear subspace of the vector space of all real sequences instead of lim. Afterwards, this concept were adapted to a topological group X by replacing a linear functional G with an arbitrary additive function defined on a subgroup of the group of all X-valued sequences. Furthermore, alternative theorems in generalized setting were given and varied theorems that had not been achieved for real functions were presented. In this investigation, we offer neutrosophic soft G-continuity and analyze its nature in neutrosophic soft topological spaces.
不仅在拓扑学中,而且在数学的其他一些分支中,科学家们一直把顺序连续性的概念作为一门不可或缺的学科。Connor和Grosse-Erdmann通过在所有实数序列的向量空间的线性子空间上定义的任意线性泛函G而不是lim给出了实数函数的这个概念。然后,用定义在所有X值序列群的子群上的任意加性函数代替线性泛函G,将这一概念应用于拓扑群X。在此基础上,给出了广义情况下的可选定理,并给出了实函数尚未得到的各种定理。在这项研究中,我们提出了中性软g -连续性,并分析了其在中性软拓扑空间中的性质。
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引用次数: 0
Implicit method of high accuracy on hexagonal grids for approximating the solution to heat equation on rectangle 高精度六边形网格上的矩形热方程隐式逼近方法
Pub Date : 2021-03-02 DOI: 10.1063/5.0042186
S. C. Buranay, N. Arshad
A two layer Implicit method on hexagonal grids is proposed for approximating the solution to first type boundary value problem of heat equation on rectangle. It is proven that the given implicit scheme is unconditionally stable and converges to the exact solution on the grids of order O(h4+τ2) where, h and 32h are the step sizes in space variables x1 and x2 respectively and τ is the step size in time. The method is applied on a test results.
针对矩形热方程第一类边值问题,提出了一种六边形网格上的两层隐式逼近方法。证明了所给出的隐式格式是无条件稳定的,并收敛于O(h4+τ2)阶网格上的精确解,其中h和32h分别是空间变量x1和x2上的步长,τ是时间上的步长。将该方法应用于一个试验结果。
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引用次数: 0
Conference Details: Fourth International Conference of Mathematical Sciences (ICMS 2020) Maltepe University, Istanbul-Turkey 第四届国际数学科学会议(ICMS 2020)马尔特佩大学,伊斯坦布尔-土耳其
Pub Date : 2021-03-02 DOI: 10.1063/12.0003552
CakalliHuseyin, D. R. KočinacLjubiša, AshyralyevAllaberen, HarteRobin, DikMehmet, Çanakİbrahim, KandemirHacer Sengul, TezMujgan, GurtugOzay, SavaşEkrem, AkayKadri Ulas, UcgunFiliz Cagatay, UyaverSahin, AshyralyyevCharyyar, SezerSefa Anıl, TurkogluArap Duran, OnvuralOruc Raif, SahinHakan
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引用次数: 0
Preface: Fourth International Conference of Mathematical Sciences (ICMS 2020) Maltepe University, Istanbul-Turkey 第四届国际数学科学会议(ICMS 2020)马尔特佩大学,伊斯坦布尔-土耳其
Pub Date : 2021-03-02 DOI: 10.1063/12.0003278
CakalliHuseyin, D. R. KočinacLjubiša, AshyralyevAllaberen, HarteRobin, DikMehmet, Çanakİbrahim, KandemirHacer Sengul, TezMujgan, GurtugOzay, SavaşEkrem, AkayKadri Ulas, UcgunFiliz Cagatay, UyaverSahin, AshyralyyevCharyyar, SezerSefa Anıl, TurkogluArap Duran, OnvuralOruc Raif, SahinHakan
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引用次数: 0
On G-continuity in neutrosophic topological spaces 中性拓扑空间中的g -连续性
Pub Date : 2021-03-02 DOI: 10.1063/5.0042369
A. Acikgoz, H. Cakalli, F. Esenbel, L. Kočinac
Continuity is one of most important concepts in many mathematical disciplines. In some situations general notion of continuity is replaced by sequential continuity. Connor and Grosse-Erdmann replaced lim in the definition of sequential continuity of real functions by a linear functional G on a linear subspace of the vector space of all real sequences. Their definition was extended to topological group X by replacing a linear functional G with an additive function defined on a subgroup of the group of all X-valued sequences. In this paper we introduce neutrosophic G-continuity and investigate its properties in neutrosophic topological spaces.
连续性是许多数学学科中最重要的概念之一。在某些情况下,连续性的一般概念被顺序连续性所取代。Connor和Grosse-Erdmann用一个在所有实数序列的向量空间的线性子空间上的线性泛函G代替了实数函数序列连续性定义中的lim。通过用定义在所有X值序列群的子群上的加性函数代替线性泛函G,将其定义推广到拓扑群X。本文引入中性g -连续性,研究其在中性拓扑空间中的性质。
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引用次数: 0
On countably uniformly paracompact spaces 在可数一致拟紧空间上
Pub Date : 2021-03-01 DOI: 10.1063/5.0046213
B. Kanetov, D. Kanetova, N. Altybaev
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引用次数: 3
Hyperbolic-trigonometric tension B-spline Galerkin approach for the solution of Fisher equation 双曲-三角张力b样条伽辽金法求解Fisher方程
Pub Date : 1900-01-01 DOI: 10.1063/5.0042219
I. Dag, Ozlem Ersoy Hepson
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引用次数: 2
Abel statistical delta quasi Cauchy sequences in metric spaces 度量空间中的Abel统计δ拟柯西序列
Pub Date : 1900-01-01 DOI: 10.1063/5.0042245
Iffet Taylan, H. Cakalli
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引用次数: 1
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