Evenness and hairiness measurement of chenille yarn based on an improved pixel difference convolution for the pixel difference network by Chenghan Yang, Yun Xu, Jianpeng Zhang, Jianxin Zhang

“…To address the challenge of quality measurement in fancy yarns, an improved Pixel Difference Convolution (PDC) for the Pixel Difference Network (PiDiNet) is proposed for measuring the evenness and hairiness of chenille yarn. …”
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A β-Convolution Theorem Associated with the General Quantum Difference Operator by Enas M. Shehata, Rasha M. El Zafarani

“…In this paper, we prove some properties of the β-partial derivative. We define the β-convolution of two functions associated with the general quantum difference operator, Dβft=fβt−ft/βt−t; β is a strictly increasing continuous function. …”
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Image dehazing based on double branch convolution and detail enhancement by ZHAI Fengwen, ZHU Yutong, JIN Jing

Subjects: “…difference convolution…”
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Multiscale Convolutional Transformer for EEG Classification of Mental Imagery in Different Modalities by Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee

“…In addition, we propose the multiscale convolutional transformer for decoding mental imagery, which applies multi–head attention over the spatial, spectral, and temporal domains. …”
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Cross-stream attention enhanced central difference convolutional network for CG image detection by HUANG Jinkun, HUANG Yuanhang, HUANG Wenmin, LUO Weiqi

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A Combined Frame Difference and Convolution Method for Moving Vehicle Detection in Satellite Videos by Xin Luo, Jiatian Li, Xiaohui A, Yuxi Deng

“…First, a frame difference module (FDM) is designed, combining frame difference and convolution. …”
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Tracking shoreline change using minimum convolution of Gaussian weight and squared differences by Hojun Yoo, Hyoseob Kim, Tae Soon Kang, Jin Young Park, Jong Beom Kim

Subjects: “…minimum convolution of Gaussian weight and squared differences (MCGWSD)…”
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Convolution Self-Guided Transformer for Diagnosis and Recognition of Crop Disease in Different Environments by Huinian Li, Nannan Li, Wenmin Wang, Chengcheng Yang, Ningxia Chen, Fuqin Deng

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Color image hybrid noise filtering algorithm based on deep convolution neural network by Yongfei Yu, Yuanjian Yan

Subjects: “…Deep convolution neural network…”
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WaViT-CDC: Wavelet Vision Transformer With Central Difference Convolutions for Spatial-Frequency Deepfake Detection by Nour Eldin Alaa Badr, Jean-Christophe Nebel, Darrel Greenhill, Xing Liang

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Enhancing diabetic retinopathy detection through federated convolutional neural networks: Exploring different stages of progression by Saad Alanazi, Rayan Alanazi

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Attention-Based Color Difference Perception for Photographic Images by Hua Qiang, Xuande Zhang, Jinliang Hou

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A New Deep Convolutional Domain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions by Yongchao Zhang, Zhaohui Ren, Shihua Zhou

“…However, in real industries, the data distribution under different working conditions is often different, which leads to serious degradation of diagnostic performance. …”
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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

“…In the subsequent work, we perform lightweight work on the limit deformable convolution and design three kinds of LDBottleneck to adapt to different scenarios. …”
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Decay properties of spatial molecular orbitals by Richard A. Zalik

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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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Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks by Yongyuan Chen, Zhendao Wang

“…Convolutional neural network (CNN) quantization is an efficient model compression technique primarily used for accelerating inference and optimizing resources. …”
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Assessment of using transfer learning with different classifiers in hypodontia diagnosis by Tansel Uyar, Didem Sakaryalı Uyar

“…Methods One thousand sixty-eight panoramic radiographs from pediatric patients aged between 6 and 12 years without systemic disease were sorted into three separate classes: single premolar agenesis (n = 336), multiple premolar agenesis (n = 324), and without tooth agenesis (n = 408). Pretrained convolutional neural network models (AlexNet, DarkNet-19, DarkNet-53, DenseNet-201, EfficientNet, GoogLeNet, InceptionV3, IncResV2, MobileNetV2, NasNet-Mobile, Places365, ResNet-18, ResNet-50, ResNet-101, ShuffleNet, SqueezeNet, VGG-16, VGG-19, and Xception) were used for training with the fine-tuning method and different machine learning classifiers (decision trees, discriminant analysis, logistic regression, naive Bayes, support vector machines, nearest neighbor, ensemble method, and artificial neural network). …”
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Recognition and Classification of 3D Objects of Different Details by Islam A. Alexandrov, Maxim S. Mikhailov, Alexander N. Muranov, Vladimir Zh. Kuklin

“…Then, we develop a high-accuracy recognition method based on spectral and topological invariants processed using a convolutional neural network. Subsequently, the parameters of the descriptors are calculated, and then they are calculated through the neural network, resulting in the classification of the object. …”
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Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios by Zhe Li, Zhenhao Jiang, Xianyou Pan

“…To address these issues, this study conducts an analysis from the viewpoint of different balance ratios as well as the selection order of feature selection. …”
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