Univalence for convolutions by Herb Silverman

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Synchronous Optimization for Demand-Driven Train Operation Plan in Rail Transit Network Using Nondominated Sorting Coevolutionary Memetic Algorithm by Zhenyu Han, Dewei Li, Baoming Han, Han Gao

“…Then, we propose the Nondominated Sorting Coevolutionary Memetic Algorithm (NSCMA) to solve the combinatorial optimization problems. …”
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Enhancing geometric modeling in convolutional neural networks: limit deformable convolution by Wei Wang, Yuanze Meng, Han Li, Guiyong Chang, Shun Li, Chenghong Zhang

Subjects: “…Deformable convolution…”
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Generalized transforms and convolutions by Timothy Huffman, Chull Park, David Skoug

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Convolutional Swin Encoder by Aditya Majithia, Arthur Paul Pedersen, Michael Grossberg

“… This paper focuses on developing a deep learning architecture capable of identifying writers' attributes from their handwriting. It introduces Convolutional Swin Encoder (CSE), a novel architecture combining Visual Geometry Group Network (VGGNet) and Swin Transformer blocks. …”
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On the sine integral and the convolution by Brian Fisher, Fatma Al-Sirehy

“…The sine integral Si(λx) and the cosine integral Ci(λx) and their associated functions Si+(λx), Si−(λx), Ci+(λx), Ci−(λx) are defined as locally summable functions on the real line. Some convolutions of these functions and sin(μx), sin+(μx), and sin−(μx) are found.…”
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Convolutions of prestarlike functions by O. P. Ahuja, H. Silverman

“…The convolution of two functions f(z)=∑n=0∞anzn and g(z)=∑n=0∞bnzn defined as (f∗g)(z)=∑n=0∞anbnzn. …”
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The Convolution on Time Scales by Martin Bohner, Gusein Sh. Guseinov

“…In this paper, we give some elementary properties of the delay and of the convolution and we also prove the convolution theorem. …”
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On the Fresnel integrals and the convolution by Adem Kiliçman, Brian Fisher

“…The Fresnel cosine integral C(x), the Fresnel sine integral S(x), and the associated functions C+(x), C−(x), S+(x), and S−(x) are defined as locally summable functions on the real line. Some convolutions and neutrix convolutions of the Fresnel cosine integral and its associated functions with x+r and xr are evaluated.…”
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Combination of Coevolutionary Information and Supervised Learning Enables Generation of Cyclic Peptide Inhibitors with Enhanced Potency from a Small Data Set by Ylenia Mazzocato, Nicola Frasson, Matthew Sample, Cristian Fregonese, Angela Pavan, Alberto Caregnato, Marta Simeoni, Alessandro Scarso, Laura Cendron, Petr Šulc, Alessandro Angelini

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Deep Convolutional Generative Adversarial Network and Convolutional Neural Network for Smoke Detection by Hang Yin, Yurong Wei, Hedan Liu, Shuangyin Liu, Chuanyun Liu, Yacui Gao

“…To improve the performance of smoke detection and solve the problem of too few datasets in real scenes, this paper proposes a model that combines a deep convolutional generative adversarial network and a convolutional neural network (DCG-CNN) to extract smoke features and detection. …”
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Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks by Yongyuan Chen, Zhendao Wang

Subjects: “…Convolutional neural network…”
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ENHANCED POLSAR IMAGE CLASSIFICATION USING DEEP CONVOLUTIONAL AND TEMPORAL CONVOLUTIONAL NETWORKS by Batool Anwar, Mohamed M. Morsey, Islam Hegazy, Zaki T. Fayed, Taha El-Arif

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Classification of Petrographic Thin Section Images With Depthwise Separable Convolution and Dilated Convolution by Shaowei Pan, Xingxing Cheng, Wenjing Fan

Subjects: “…depthwise separable convolution…”
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An Improved Convolutional Neural Networks: Quantum Pseudo-Transposed Convolutional Neural Networks by Li Hai, Chen Liang, Hao Yaming, Yu Wenli, Shi Fengquan

Subjects: “…Convolutional neural networks…”
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Heart sound classification based on convolutional neural network with convolutional block attention module by Ximing Huai, Lei Jiang, Lei Jiang, Chao Wang, Peng Chen, Hanchi Li

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Coevolutionary dynamics in the grass-livestock social-ecological system of China's alpine pastoral areas: A case study of the Qilian Mountains region in China. by Ligan Cai, Junhao Zhao, Jian Chen

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Syringophilid Quill Mites Obey Harrison’s Rule by Lajos Rózsa, Mónika Ianculescu, Martin Hromada

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MPDCGA: a real-coded multi-population dynamic competitive genetic algorithm for feature selection by Chuantao Li, Chen Huang, Ruihan Chen, Zhuohong Yu, Sheng Li

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Asymptotics of regular convolution quotients by Bogoljub Stankovic

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