An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions by Zeyu Bai, Peng Jia, Jiameng Lv, Xiang Zhang, Wennan Xiang, Lin Nie

“…Although widely used, these approaches suffer from slow convolution processes and reduced image fidelity due to abrupt PSF transitions between different patches. …”
Get full text

Meteorological measurement and simulation datasets to understand the complex circulation over a tropical inter-Andean valleyMendeley Data by Andres V. Ardila, Carlos M. González, Felipe Cifuentes, German Rueda-Saa, Rodrigo Jimenez

“…Furthermore, twelve WRF-CHEM simulations were performed to assess the performance of different schemes suitable for the CRV conditions. …”
Get full text

Semantic segmentation of substation tools using an improved ICNet network by Guozhong Liu, Qiongping Tang, Changnian Lin, An Xu, Chonglong Lin, Hao Meng, Mengyu Ruan, Wei Jin

“…A lightweight backbone network was used in the feature extraction stage at different resolutions, and a recursive gated convolution was used in the upsampling stage to achieve high-order spatial interactions, thereby improving segmentation accuracy. …”
Get full text

Large-Scale nighttime illuminated road extraction in the BTH region of China using SDGSAT-1 nighttime light data by Qiyuan Xie, Hui Li, Linhai Jing, Yichen Jiang, Haifeng Ding, Zhongchang Sun

“…The assessment results revealed an imbalance in road lighting levels among different cities in the BTH region.…”
Get full text

Biomimetic Visual Information Spatiotemporal Encoding Method for In Vitro Biological Neural Networks by Xingchen Wang, Bo Lv, Fengzhen Tang, Yukai Wang, Bin Liu, Lianqing Liu

“…The experimental results show that the firing patterns of BNNs with different spatiotemporal stimuli are highly separable in the feature space. …”
Get full text

Multiscale Spatial-Spectral CNN-Transformer Network for Hyperspectral Image Super-Resolution by Jiayang Zhang, Hongjia Qu, Junhao Jia, Yaowei Li, Bo Jiang, Xiaoxuan Chen, Jinye Peng

“…This module processes the previously obtained local spatial-spectral features, thoroughly exploring the elaborate global interrelationship and long-range dependencies among different spectral bands through a coarse-to-fine strategy. …”
Get full text

Kidney Stone Detection based on Improved YOLOv7 with Attention Module and Super Resolution Techniques Under Limited Training Samples by Minh Tai Pham Nguyen, Viet Tuan Le, Huu Thanh Duong, Vinh Truong Hoang

“…Due to the two main problems above, this study is carried out with two contributions. First, fusing different attention modules to YOLOv7 architecture that shall bring higher performance of kidney stone detection task. …”
Get full text

Achromatic 3D Multi‐Color Orbital Angular Momentum Holography by Hang Su, Baoli Li, Yike Bai, Yiqi Ye, Yibo Dong, Xinyuan Fang

“…However, the inherent axial chromatic aberration (ACA) in Fourier lens functions leads to the misalignment of Fourier planes for OAM‐dependent holograms across different wavelengths, thereby limiting 3D multicolor OAM holography. …”
Get full text

FPGA-oriented lightweight multi-modal free-space detection network by Feiyi Fang, Junzhu Mao, Wei Yu, Jianfeng Lu

“…With the development of multi-modal convolutional neural networks (CNNs) in recent years, the performance of driving scene semantic segmentation algorithms has been dramatically improved. …”
Get full text

Research on the Real-Time Scoring of Chest Ring Target Based on Transfer Learning and Improved Lightweight Neural Network by Minghui Meng, Chuande Zhou

“…Then, grouped shuffle convolution (GSConv) is used to reconstruct the standard down sampling convolutions in the PANFPN structure, promoting feature information extraction and fusion at bullet hole edges, reducing model computational complexity, and maintaining detection accuracy. …”
Get full text

A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…Based on the positional relationship between the spilled crude oil target and the source target detection anchor frame, the possible source targets are classified into three association levels and assigned different association weights. By comprehensively applying parameters such as source-target association weight, leakage risk probability, and target overlap area, a calculation method of the association degree between the source target and the leaked crude oil target is proposed. …”
Get full text

Few-shot bearing fault diagnosis method based on an EEMD parallel neural network and a relation network by Cunsheng Zhao, Bo Tong, Chao Zhou, Qingrong Fan

“…Bearing fault diagnosis presents challenges, such as insufficient fault samples and significant fault data distribution variation in different bearing operating conditions. These problems cause traditional deep learning models to show poor generality and accuracy during bearing fault diagnosis. …”
Get full text

Multi-Feature Fusion for Enhanced Feature Representation in Automatic Modulation Recognition by Jiuxiao Cao, Rui Zhu, Lingfeng Wu, Jun Wang, Guohao Shi, Peng Chu, Kang Zhao

“…To further enhance recognition performance, this paper proposes a novel multi-feature input fusion network. By utilizing different representations and processing methods of the signal, the proposed approach designs distinct feature extraction networks tailored to specific processed signals, leveraging the characteristics of convolution kernels with varying sizes and receptive fields. …”
Get full text

Investigation of cracking behavior in asphalt pavement using digital image processing technology by Jie Jiang, Jie Jiang, Kui Xu, Yanbin Song, Ling Gao, Jinzhu Zhang

“…IntroductionRoad hazards and some traffic accidents are often caused by damage of the performance of the pavement due to cracking of asphalt concrete.MethodsA simulation test was designed to investigate asphalt pavement cracking under different temperature conditions (15°C, 0°C, −5°C, −15°C) with a fixed traffic load strip. …”
Get full text

GIVTED-Net: GhostNet-Mobile Involution ViT Encoder-Decoder Network for Lightweight Medical Image Segmentation by Resha Dwika Hefni Al-Fahsi, Ahmad Naghim Fauzaini Prawirosoenoto, Hanung Adi Nugroho, Igi Ardiyanto

“…The performance evaluation of the proposed GIVTED-Net model is conducted on various datasets including Kvasir Instrument, ISIC-2018 Lesion Boundary Segmentation, and WBC Image datasets, covering different medical objects such as instruments, lesions, and anatomical structures. …”
Get full text

BCSM-YOLO: An Improved Product Package Recognition Algorithm for Automated Retail Stores Based on YOLOv11 by Pingqing Hou, Shaoze Huang

“…Subsequently, the Bidirectional Feature Pyramid Network (BiFPN) performs cross-layer bi-directional fusion of the multi-scale features processed by the CBAM to ensure that the feature information at different scales fully interacts and effectively solves the multi-scale target recognition challenges. …”
Get full text

Enhancing Real-Time Aerial Image Object Detection with High-Frequency Feature Learning and Context-Aware Fusion by Xin Ge, Liping Qi, Qingsen Yan, Jinqiu Sun, Yu Zhu, Yanning Zhang

“…Specifically, our approach integrates three innovative modules: (1) the VHeat C2f module, which employs a frequency-domain heat conduction mechanism to fine-tune feature representations and significantly enhance high-frequency detail extraction; (2) the Multi-scale Feature Aggregation and Distribution Module (MFADM), which utilizes large convolution kernels of different sizes to robustly capture effective high-frequency features; and (3) the Context Attention Guided Fusion Module (CAGFM), which ensures precise and effective fusion of high-frequency contextual information across scales, substantially improving the detection accuracy of small objects. …”
Get full text

POI recommendation by deep neural matrix factorization integrated attention-aware meta-paths by Xiaoyan Li, Shenghua Xu, Hengxu Jin, Zhuolu Wang, Yu Ma, Xuan He

“…Multiple-weighted isomorphic information networks based on meta-paths are employed to obtain node-embedding vectors across different relationships. Attention networks are employed to aggregate node vectors across various relationships and serve as auxiliary information to mitigate the challenges of data sparsity. …”
Get full text

CenterNet-Elite: A Small Object Detection Model for Driving Scenario by Lingling Wang, Xiang Li, Xiaoyan Chen, Bin Zhou

“…This module obtains receptive fields of different sizes through max-pooling layers of diverse sizes, adapting to changes in object scale on the feature maps. …”
Get full text

DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm by Ashwaq Neaman Hassan Al-Tameemi, Mahmood Mohassel Feghhi, Behzad Mozaffari Tazehkand

“…The performance of the proposed model is evaluated by conducting a wide range of experiments on uncorrelated narrowband data with different scenarios and based on the root mean square error (RMSE) coefficient. …”
Get full text