Scan path visualization and comparison using visual aggregation techniques by Vsevolod Peysakhovich, Christophe Hurter

“…We demonstrate the use of different visual aggregation techniques to obtain non-cluttered visual representations of scanpaths. …”
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Dynamic focusing of an ultrasonic be am by means of a phased annular array using a pulse technique by Tamara KUJAWSKA

“…The lateral acoustical pressure distribution at different field depths is shown. The ultrasonic beam-width as a function of the depth for every focal zone is also presented. …”
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Directional properties of the loudspeaker systems with analog and digital crossover networks by Marek NIEWIAROWICZ, Henryk ŁOPACZ

“…The set of impulse responses for different angles in the whole sphere around the loudspeaker system were measured and then, applying a convolution with the excitation signals of the "tone burst" type, for some specific frequencies from the cut-off region of crossover networks, the directional characteristics have been calculated for the steady and transient states. …”
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High resolution remote sensing image object detection algorithm based on improved YOLOv8 by ZHANG Xia, QIAO Huanyu, CAO Feng

“…Firstly, dynamic snake convolution was incorporated to make the algorithm detect objects with different scales and directions better; Secondly, in order to enable the algorithm to capture the global context information in the image with complex background, inverted residual mobile block was combined with Shift-Wise convolution . …”
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Automatic segmentation and quantitative analysis of brain CT volume in 2-year-olds using deep learning model by Fengjun Xi, Liyun Tu, Feng Zhou, Yanjie Zhou, Jun Ma, Yun Peng

“…In addition, we compared the performance of the ResU-Net model with different kernel sizes (3 × 3 × 3 and 1 × 3 × 3 convolution kernels) against the baseline model, which was the standard 3D U-Net. …”
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Asymptotically Almost Automorphic Mild Solutions for a Class of Neutral Differential Equations with Delay by YAO Hui-li, LI Xiao-tong, WANG Jing-nan, LI Xue-xin

“…All kinds of differential equations as mathematical models have been built up due to different practical problems，so the problem of studying the existence of various solutions has attracted the attention of mathematical scholars at home and abroad. …”
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L2-GNN: Graph neural networks with fast spectral filters using twice linear parameterization by Siying Huang, Xin Yang, Zhengda Lu, Hongxing Qin, Huaiwen Zhang, Yiqun Wang

“…To improve learning on irregular 3D shapes, such as meshes with varying discretizations and point clouds with different samplings, we propose L2-GNN, a new graph neural network that approximates the spectral filters using twice linear parameterization. …”
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Deep Learning Model of Image Classification Using Machine Learning by Qing Lv, Suzhen Zhang, Yuechun Wang

“…Firstly, based on the analysis of the basic theory of neural network, this paper expounded the different types of convolution neural network and the basic process of its application in image classification. …”
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SFEF-Net: Scattering Feature Extraction and Fusion Network for Aircraft Detection in SAR Images by Qiang Zhou, Zongxu Pan, Ben Niu

“…Firstly, we proposed an innovative sparse convolution operator and applied it to feature extraction. …”
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Two-stage Detection Method for Abnormal Cluster Cervical Cells by LIANG Yi-qin, ZHAO Si-qi, WANG Hai-tao, HE Yong-jun

“…The size and location of convolution kernel can be dynamically adjusted according to the current pathological image content, so as to adapt to the shape, size and other geometric changes of cervical cells in different clusters. …”
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A Method to Improve Computational Efficiency of Productivity Evaluation with Rectangular Coalbed Methane Reservoir by Li Chen, Sun Lichun, Sun Hansen, Feng Ruyong, Wang Cunwu, Zhang Fang

“…It is clarified that its impacts are different in the early stage and the later stage of production. …”
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CBLN-YOLO: An Improved YOLO11n-Seg Network for Cotton Topping in Fields by Yufei Xie, Liping Chen

“…At the same time, CBLN-YOLO also shows strong robustness under different weather and time periods, and its recognition speed reaches 135 frames per second, which provides strong support for cotton top bud positioning in the field environment.…”
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CWMS-GAN: A small-sample bearing fault diagnosis method based on continuous wavelet transform and multi-size kernel attention mechanism. by Shun Yu, Zi Li, Jialin Gu, Runpu Wang, Xiaoyu Liu, Lin Li, Fusen Guo, Yuheng Ren

“…Specifically, this study proposes a continuous wavelet convolution strategy (CWCL) instead of the traditional convolution operation in GAN, which can additionally capture the signal's frequency domain features. …”
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A raypath-consistent receiver correction in PS converted wave processing through seismic interferometry: New application for tropical zones New application for tropical zones by Andrés Salamanca, Luis Montes

“…This is the first application of the technique in Colombia, initially developed for permafrost zones, with different assumptions and surface complexity; and it resulted in an improved PS converted wave image.…”
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MDA-MIM: a radar echo map prediction model integrating multi-scale feature fusion and dual attention mechanism by HU Qiang, GAO Yating, YIN Binli, QU Lianen

“…Multi-scale feature fusion and a dual attention mechanism were incorporated in MDA-MIM. Dilated convolution was used to extract and integrate multi-scale features. …”
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Towards a New Generation of Impulse‐Response Functions for Integrated Earth System Understanding and Climate Change Attribution by Alexander J. Winkler, Carlos A. Sierra

“…Abstract Impulse‐response functions (IRFs) are mathematical functions that represent the response of the coupled carbon‐climate system to different trajectories of fossil‐fuel emissions and land‐use. …”
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Reconstruction of human dispersal during Aurignacian on pan-European scale by Yaping Shao, Christian Wegener, Konstantin Klein, Isabell Schmidt, Gerd-Christian Weniger

“…However, human dispersal is a highly convoluted process which is until today not well understood. …”
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Research on Face Local Attribute Detection Method Based on Improved SSD Network Structure by Qun Luo, Zhendong Liu

“…On this basis, by organically connecting different layers of the SSD network and integrating convolution block attention module, the improved SSD network structure was used to realize face local attribute detection. …”
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A dual path graph neural network framework for dementia diagnosis by Denghui Zhang, Chenxuan Zhu

“…We then performed multi-scale graph convolution to analyze brain connectivity at varying resolutions-from fine-grained to more extensive patterns, and ultimately employed an attention mechanism to enhance features across different domains. …”
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A BEARING DEEP LEARNING TRANSFER DIAGNOSIS METHOD BASED ON OPTIMIZATION OF SYMMETRIC POLAR COORDINATES by WU DingHai, WANG HuaiGuang, SONG Bin, ZHANG YunQiang

“…The bearing dataset of Case Western Reserve University which includes different rotational speeds and load is used to verify this method and a good recognition effect has been achieved.…”
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