GLNet: global-local feature network for wheat leaf disease image classification by Shangze Li, Shen Liu, Mingyu Ji, Yuhao Cao, Bai Yun, Bai Yun

“…Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat leaf disease, this paper proposes a global local feature network, i.e. …”
Get full text

An Edge Recognition Method for Insulator State Based on Multi-dimension Feature Fusion by Dongmei HUANG, Yueqi WANG, Anduo HU, Jinzhong SUN, Shuai SHI, Yuan SUN, Lingfeng FANG

“…Traditional insulator state recognition methods have such problems as poor real-time performance and insufficient feature extraction ability. …”
Get full text

Dynamic Node Privacy Feature Decoupling Graph Autoencoder Based on Attention Mechanism by Yikai Huang, Jinchuan Tang, Shuping Dang

“…Graph autoencoders’ inherent capability to capture node feature correlations poses significant privacy risks through attackers inference. …”
Get full text

Airport Clearance Detection Based on Vision Transformer and Multi-Scale Feature Fusion by Yutong Chen, Yufen Liu, Zhixiong Guo, Qiang Gao

“…To overcome the defects in detection, this paper proposes an airport clearance detection algorithm based on Vision Transformer and multi-scale feature fusion to address the problems of poor real-time performance, low accuracy, and large parameter quantity in existing airport clearance detection systems. …”
Get full text

Multimodal Fake News Detection Incorporating External Knowledge and User Interaction Feature by Lifang Fu, Shuai Liu

“…The model fully extracted the features of the content and the interaction between users of the news dissemination. …”
Get full text

Swin Transformer With Late-Fusion Feature Aggregation for Multi-Modal Vehicle Reidentification by Reza Fuad Rachmadi, Supeno Mardi Susiki Nugroho, I. Ketut Eddy Purnama

“…In this paper, we proposed a Swin Transformer classifier with late-fusion feature aggregation networks called SAFA (Self-Attention Feature Aggregation) for multi-modal vehicle reidentification problems. …”
Get full text

Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization by Tie Chen, Yimin Yuan, Jiaqi Gao, Shinan Guo, Pingping Yang

“…Abstract In the research of non-intrusive load monitoring (NILM), the temporal characteristics of V–I trajectories are often overlooked, and using a single feature for identification may lead to insignificant differences between similar loads. …”
Get full text

Partial feature reparameterization and shallow-level interaction for remote sensing object detection by Minh Tai Pham Nguyen, Quoc Duy Nam Nguyen, Hoang Viet Anh Le, Minh Khue Phan Tran, Tadashi Nakano, Thi Hong Tran

“…Firstly, an extraction block is proposed called PRepConvBlock that leverages reparameterization convolution and partial feature utilization to effectively reduce the complexity in convolution operations, allowing for the utilization of larger kernel sizes in order to form the longer interactions between features and significantly expand receptive fields. …”
Get full text

Implicit direct time integration of the heat conduction problem in the Method of Matched Sections by Ігор Ориняк, Антон Цибульник, Кірілл Даниленко, Андрій Ориняк

“…It is assumed that for each small rectangular element the 2D problem can be considered as the combination of two 1D problems – one is x-dependent, and another is y-dependent. …”
Get full text

An enhanced denoising system for mammogram images using deep transformer model with fusion of local and global features by A. Robert Singh, Suganya Athisayamani, Faten Khalid Karim, Ahmed Zohair Ibrahim, Sameer Alshetewi, Samih M. Mostafa

“…Abstract Image denoising is a critical problem in low-level computer vision, where the aim is to reconstruct a clean, noise-free image from a noisy input, such as a mammogram image. …”
Get full text

Behavior Anomaly Detection Based on Multi-modal Feature Fusion and Its Application in English Teaching by Lei Kan, Man Wang

“…In order to improve the teaching quality, this paper proposes a multi-modal feature fusion-based abnormal behavior detection method, aiming at the problems of false detection, missing detection and imbalance of positive and negative samples in the abnormal behavior detection of students in class. …”
Get full text

Asymptotics and Confluence for a Singular Nonlinear q-Difference-Differential Cauchy Problem by S. Malek

“…One facet deals with asymptotic expansions in the complex time variable for which a mixed type Gevrey and q−Gevrey structure are exhibited. The other feature concerns the problem of confluence of these solutions as q>1 tends to 1.…”
Get full text

An Adaptive Threshold-Based Pixel Point Tracking Algorithm Using Reference Features Leveraging the Multi-State Constrained Kalman Filter Feature Point Triangulation Technique for D... by Zohaib Wahab Memon, Yu Chen, Hai Zhang

“…Although feature points can be extracted and tracked using traditional techniques followed by the MSCKF feature point triangulation algorithm, the number of feature points in the image is often insufficient to capture the depth of the entire environment. …”
Get full text

Are library environment and library space synonymous? (Some problems of modern library terminology) by A. N. Vaneev

Get full text

DISEASES OF THE GENITOURINARY SYSTEM IN HIV INFECTION–A NEW PROBLEM OF MODERN UROLOGY by S. K. Yarovoy

Get full text

Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…The experimental results indicate that the proposed data structure and algorithm can better distinguish the defect features of highway roadbeds. Compared with the traditional methods, the retrieval efficiency of accelerated feature objects is improved by 17.2% and 10.5%, respectively. …”
Get full text

Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection by Hanxian Duan, Qian Jiang, Xin Jin, Michal Wozniak, Yi Zhao, Liwen Wu, Shaowen Yao, Wei Zhou

“…First, we design a two-stream feature extraction module to obtain richer feature information. …”
Get full text

Approximation of an Optimal BV -Control Problem in the Coefficient for the p(x)-Laplace Equation by Ismail Aydin, Peter Kogut

“…We study a Dirichlet optimal control problem for a quasilinear monotone elliptic equation with the so-called weighted p(x)-Laplace operator. …”
Get full text

Exponentially Fitted Element-Free Galerkin Approach for Nonlinear Singularly Perturbed Problems by Jagbir Kaur, Vivek Sangwan

“…As it is well recognized that conventional numerical schemes are inefficient in approximating the solutions of the singularly perturbed problems (SPP) in the boundary layer region, in the present work, an effort has been made to propose a robust and efficient numerical approach known as element-free Galerkin (EFG) technique to capture these solutions with a high precision of accuracy. …”
Get full text

Solving the inverse problem in direct current profiling methods in a linear formulation by P.N. Aleksandrov, V.N. Krizsky

“…The determination of the physical properties of a geological object is based on solving the inverse coefficient problem of mathematical physics. The paper proposes a new approach to solving inverse coefficient problems based on data measured by profiling installations in the direct current electrical exploration method, and based on linear volumetric integral equations. …”
Get full text