Integral transforms, convolution products, and first variations by Bong Jin Kim, Byoung Soo Kim, David Skoug

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Computing nasalance with MFCCs and Convolutional Neural Networks. by Andrés Lozano, Enrique Nava, María Dolores García Méndez, Ignacio Moreno-Torres

“…A new approach is proposed to compute nasalance using Convolutional Neural Networks (CNNs) trained with Mel-Frequency Cepstrum Coefficients (mfccNasalance). mfccNasalance is evaluated by examining its accuracy: 1) when the train and test data are from the same or from different dialects; 2) with test data that differs in dynamicity (e.g. rapidly produced diadochokinetic syllables versus short words); and 3) using multiple CNN configurations (i.e. kernel shape and use of 1 × 1 pointwise convolution). …”
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Voice Detection Using Convolutional Neural Network by U. A. Vishniakou, B. H. Shaya

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On radii of starlikeness and convexity for convolutions of starlike functions by Yi Ling, Shusen Ding

“…In this paper, we obtain the radiuses of univalence, starlikeness and convexity for convolutions of starlike functions.…”
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Novel decoding of convolutional codes for OCDMA system by ZHOU Hai-xian, XU Guo-liang, YAO Wei

Subjects: “…OCDMA;convolutional codes;decoding;error code…”
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On Perturbation of Convoluted C-Regularized Operator Families by Fang Li, Jin Liang, Ti-Jun Xiao, Jun Zhang

“…Of concern are two classes of convoluted C-regularized operator families: convoluted C-cosine operator families and convoluted C-semigroups. …”
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Multithreaded Convolution Implementation Based on Block Methods by A. V. Sharamet

Subjects: “…convolution…”
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Hardy-Sobolev Spaces Associated with Twisted Convolution by Jizheng Huang, Weiwei Li, Yaqiong Wang

“…We first define the Hardy-Sobolev spaces associated with twisted convolution; then we give the atomic decomposition. …”
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Novel decoding of convolutional codes for OCDMA system by ZHOU Hai-xian, XU Guo-liang, YAO Wei

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Compatibility Conditions and the Convolution of Functions and Generalized Functions by Andrzej Kamiński, Svetlana Mincheva-Kaminska

“…The paper is a review of certain existence theorems concerning the convolution of functions, distributions, and ultradistributions of Beurling type with supports satisfying suitable compatibility conditions. …”
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Positivity of convolution quadratures generated by nonconvex sequences by Karaa, Samir

Subjects: “…Convolution quadrature…”
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Combining Convolutional Neural Networks for Fungi Classification by Anuruk Prommakhot, Jakkree Srinonchat

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Lightweight Convolutional Network for Bearing Fault Diagnosis by LIU Hui, LI Yang, HOU Yimin

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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

“…We further push the frontier of feature engineering by using Temporal Convolutional Networks (TCNs) and Graph Convolutional Networks (GCNs) to capture time series trends, geographic and topological information, and pest/disease incidence. …”
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Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things by Meixia Fu, Jiansheng Wu, Qu Wang, Lei Sun, Zhangchao Ma, Chaoyi Zhang, Wanqing Guan, Wei Li, Na Chen, Danshi Wang, Jianquan Wang

“…Specifically, deformable convolution is applied into selectively replace the standard convolution in the backbone of the region‐based fully convolutional networks, which performs significantly in scenarios with unclear defect boundaries. …”
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CBAM-DeepConvNet: Convolutional Block Attention Module-Deep Convolutional Neural Network for asymmetric visual evoked potentials recognition by Zhouyu Ji, Shuran Li, Hongfei Zhang, Chuangquan Chen, Qian Xu, Junhua Li, Hongtao Wang

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A convolutional autoencoder framework for ECG signal analysis by Ugo Lomoio, Patrizia Vizza, Raffaele Giancotti, Salvatore Petrolo, Sergio Flesca, Fabiola Boccuto, Pietro Hiram Guzzi, Pierangelo Veltri, Giuseppe Tradigo

“…AE specialized for signal data, named Convolutional Autoencoder (CAE), showed the best performances in the analysis of ECG signals.This paper presents a CAE-based framework for ECG signal analysis and anomaly identification. …”
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Graph convolution network for fraud detection in bitcoin transactions by Ahmad Asiri, K. Somasundaram

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Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

“…Methods We address this gap with informed data collection and the development of a new convolutional neural network architecture, PhytNet. Utilising a novel dataset of infrared cocoa tree images, we demonstrate PhytNet's development and compare its performance with existing architectures. …”
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CNNFET: Convolutional neural network feature Extraction Tools by Huseyin Atasoy, Yakup Kutlu

Subjects: “…Convolutional neural networks…”
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