IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-06-09 DOI: 10.1016/j.compeleceng.2025.110496

Hamidreza Rashidian

引用次数: 0

Fuzzy-based Text Augmentation to boost the Statistical Machine Translation for Indic Languages 基于模糊文本增强的印度语统计机器翻译

IF 7.5 2区计算机科学

Engineering Applications of Artificial Intelligence Pub Date : 2025-06-09 DOI: 10.1016/j.engappai.2025.111221

Shefali Saxena , Ayush Gupta , Shweta Chauhan , Philemon Daniel

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引用次数: 0

Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion 用于视网膜血管分割的DCNN卷积块扩展：分类与讨论

IF 3 4区计算机科学

International Journal of Imaging Systems and Technology Pub Date : 2025-06-09 DOI: 10.1002/ima.70118

Henda Boudegga, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Nesrine Abroug, Mohamed Hedi Bedoui

{"title":"Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion","authors":"Henda Boudegga, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Nesrine Abroug, Mohamed Hedi Bedoui","doi":"10.1002/ima.70118","DOIUrl":"https://doi.org/10.1002/ima.70118","url":null,"abstract":"<div>\u0000 \u0000 <p>The retinal vascular tree (RVT) segmentation is a main step for diagnosing several ocular diseases. Higher accurate segmentation remains crucial to ensure a reliable disease detection and hence clinical treatment. Numerous standard deep learning (DL) architectures have been employed to segment the RVT regardless of the image field However, due to the intricate morphologies of vascular trees comprising fine and complex structures, those DL architectures failed to achieve high accuracy in retinal vessel segmentation. Therefore, several promising solutions have been developed to overcome these limitations, where their main contributions rely on adapting the convolution processing of deep convolutional neural networks (DCNNs) blocks with respect to the retinal vessels characteristics. In this paper, we present a review of extended convolution blocks within DCNNs for RVT segmentation from fundus images. Our main contributions remain on (1) Identifying the different principles extension of convolution blocks; (2) Proposing a taxonomy of convolution block extension, and (3) Analyzing and discussing the strengths and weaknesses of each extension type with respect to segmentation quality and database characteristics. The presented study allows a valuable recommendation for future research in the field of RVT segmentation based on DCNN.</p>\u0000 </div>","PeriodicalId":14027,"journal":{"name":"International Journal of Imaging Systems and Technology","volume":"35 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144244241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Privacy-protected and Prescribed-time Dynamic Average Consensus Over Directed Networks: An Integral Surplus-based Approach 定向网络上隐私保护和规定时间的动态平均共识：基于积分盈余的方法

IF 6.8 1区计算机科学

IEEE Transactions on Automatic Control Pub Date : 2025-06-09 DOI: 10.1109/tac.2025.3578246

Runhua Cao, Yu Zhao, Yongfang Liu, Panfeng Huang

引用次数: 0

Saturation Function-Based Finite-Time Synchronization Control for Fractional-Order Coupled Neural Networks 基于饱和函数的分数阶耦合神经网络有限时间同步控制

IF 5.6 2区计算机科学

IEEE Transactions on Automation Science and Engineering Pub Date : 2025-06-09 DOI: 10.1109/tase.2025.3577901

Zhanshan Wang, Bibo Zheng

引用次数: 0

SFCANet: Channel Attention in Spatial-Frequency Domain for Infrared Small Target Detection SFCANet：用于红外小目标检测的空频域信道关注

IF 4.4 2区计算机科学

IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-06-09 DOI: 10.1109/taes.2025.3577586

Zijin Lin, Guoheng Huang, Ming Li, Xiaochen Yuan, Guanghui Yue, Chi-Man Pun, Lianglun Cheng

引用次数: 0

DQN Based Adaptive Filtering Scheme for Multi-source Celestial Integrated Navigation 基于DQN的多源天文组合导航自适应滤波方案

IF 4.4 2区计算机科学

IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-06-09 DOI: 10.1109/taes.2025.3578059

Ying Yuan, Feng Yu, Jiaxin Liu, Yunxiao Yang

引用次数: 0

Toward High Accuracy DME for Alternative Aircraft Positioning: SFOL Pulse Transmission in High-Power DME 面向可选飞机定位的高精度DME：大功率DME中的SFOL脉冲传输

IF 4.4 2区计算机科学

IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-06-09 DOI: 10.1109/taes.2025.3578290

Jongmin Park, Seowoo Park, Sunghwa Lee, Jiwon Seo, Euiho Kim

引用次数: 0

High-Throughput Uniform Scanning of Stick-Slip Actuators With Optimal Smooth Trajectory 具有最优光滑轨迹的粘滑驱动器的高通量均匀扫描

IF 7.7 1区工程技术

IEEE Transactions on Industrial Electronics Pub Date : 2025-06-09 DOI: 10.1109/tie.2025.3569974

Xiangyuan Wang, Lingwen Tan, Qi Yu, Hao Wu, Yixuan Meng, Linlin Li, Hu Huang, LiMin Zhu

引用次数: 0

Codebook Design and Beam Training for Multi-User Modular XL-MIMO Communications: From Far-Field to Near-Field 多用户模块化xml - mimo通信的码本设计和波束训练：从远场到近场

IF 8.3 2区计算机科学

IEEE Transactions on Communications Pub Date : 2025-06-09 DOI: 10.1109/tcomm.2025.3577652

Xinrui Li, Zhenjun Dong, Yong Zeng, Yonghui Li

引用次数: 0

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