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IEEE transactions on neural networks and learning systems最新文献

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Single Hidden Layer Neural Networks With Random Weights Based on Nondifferentiable Functions 基于不可微函数的随机权重单隐层神经网络
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-14 DOI: 10.1109/tnnls.2025.3555178
Yoleidy Huérfano-Maldonado, Karina Vilches-Ponce, Marco Mora, Clovis Tauber, Miguel Vera
{"title":"Single Hidden Layer Neural Networks With Random Weights Based on Nondifferentiable Functions","authors":"Yoleidy Huérfano-Maldonado, Karina Vilches-Ponce, Marco Mora, Clovis Tauber, Miguel Vera","doi":"10.1109/tnnls.2025.3555178","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3555178","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"77 1","pages":"1-15"},"PeriodicalIF":10.4,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143979468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Online Reinforcement Learning Control Designs With Acceleration Mechanism for Unknown Multiagent Systems Through Value Iteration 基于值迭代的未知多智能体系统在线强化学习控制设计
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-14 DOI: 10.1109/tnnls.2025.3563155
Yuan Li, Yiyan Han, Chongyang Chen, Zhigang Zeng, Jiankun Sun
{"title":"Online Reinforcement Learning Control Designs With Acceleration Mechanism for Unknown Multiagent Systems Through Value Iteration","authors":"Yuan Li, Yiyan Han, Chongyang Chen, Zhigang Zeng, Jiankun Sun","doi":"10.1109/tnnls.2025.3563155","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3563155","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"115 1","pages":"1-14"},"PeriodicalIF":10.4,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143979469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Proportional-Integral-Observer-Based Fusion Estimation for Artificial Neural Networks: Implementing a One-Bit Encoding Scheme 基于比例-积分-观测器的人工神经网络融合估计：实现一种位编码方案
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-09 DOI: 10.1109/tnnls.2025.3556370
Kaiqun Zhu, Zidong Wang, Derui Ding, Jun Hu, Hongli Dong
{"title":"Proportional-Integral-Observer-Based Fusion Estimation for Artificial Neural Networks: Implementing a One-Bit Encoding Scheme","authors":"Kaiqun Zhu, Zidong Wang, Derui Ding, Jun Hu, Hongli Dong","doi":"10.1109/tnnls.2025.3556370","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3556370","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"49 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
RadDQN: A Deep Q Learning-Based Architecture for Finding Time-Efficient Minimum Radiation Exposure Pathway RadDQN：一种基于深度Q学习的寻找时间效率最小辐射暴露路径的架构
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-09 DOI: 10.1109/tnnls.2025.3562653
Biswajit Sadhu, Trijit Sadhu, S. Anand
{"title":"RadDQN: A Deep Q Learning-Based Architecture for Finding Time-Efficient Minimum Radiation Exposure Pathway","authors":"Biswajit Sadhu, Trijit Sadhu, S. Anand","doi":"10.1109/tnnls.2025.3562653","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3562653","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"58 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Boosting Generalization of Semantic Segmentation With Unseen Style Seeking-Based Meta-Learning 基于未见风格搜索的元学习促进语义分割的泛化
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-09 DOI: 10.1109/tnnls.2025.3560263
Qi Zang, Shuang Wang, Dong Zhao, Wanqing Li, Zining Wang, Dou Quan, Fei Liang, Licheng Jiao
{"title":"Boosting Generalization of Semantic Segmentation With Unseen Style Seeking-Based Meta-Learning","authors":"Qi Zang, Shuang Wang, Dong Zhao, Wanqing Li, Zining Wang, Dou Quan, Fei Liang, Licheng Jiao","doi":"10.1109/tnnls.2025.3560263","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3560263","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"25 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Multistate Temporal Difference Target for Model-Free Reinforcement Learning 无模型强化学习的多状态时间差分目标
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-09 DOI: 10.1109/tnnls.2025.3564078
Wuhao Wang, Zhiyong Chen, Lepeng Zhang
{"title":"Multistate Temporal Difference Target for Model-Free Reinforcement Learning","authors":"Wuhao Wang, Zhiyong Chen, Lepeng Zhang","doi":"10.1109/tnnls.2025.3564078","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3564078","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"32 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Online Adaptive Optimal Control Algorithm Based on Weighted Policy Iteration 基于加权策略迭代的在线自适应最优控制算法
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-09 DOI: 10.1109/tnnls.2025.3564329
Wanlin Tan, Rui Luo, Zhinan Peng, Qiang Ling
{"title":"Online Adaptive Optimal Control Algorithm Based on Weighted Policy Iteration","authors":"Wanlin Tan, Rui Luo, Zhinan Peng, Qiang Ling","doi":"10.1109/tnnls.2025.3564329","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3564329","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"56 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
RSME: Respiration-Driven Synchronized Motion Estimator for Real-Time Thoracic 3-D CT Reconstruction Using Low-Rank Motion Fields and Dose-Free Surface Imaging RSME：呼吸驱动同步运动估计器，用于低秩运动场和无剂量表面成像的实时胸部三维CT重建
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-09 DOI: 10.1109/tnnls.2025.3564947
Ziwen Wei, Xiaolong Wu, Qi Wang, Yunbiao Zhou, Shaozhuang Zhai, Tao Jiang, Zhihua Liu, Yang Zhang, Hongcang Gu, Shuanghu Yuan, Junchao Qian
{"title":"RSME: Respiration-Driven Synchronized Motion Estimator for Real-Time Thoracic 3-D CT Reconstruction Using Low-Rank Motion Fields and Dose-Free Surface Imaging","authors":"Ziwen Wei, Xiaolong Wu, Qi Wang, Yunbiao Zhou, Shaozhuang Zhai, Tao Jiang, Zhihua Liu, Yang Zhang, Hongcang Gu, Shuanghu Yuan, Junchao Qian","doi":"10.1109/tnnls.2025.3564947","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3564947","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"27 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Improving the Transferability of Adversarial Examples by Feature Augmentation 利用特征增强提高对抗性示例的可转移性
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-08 DOI: 10.1109/tnnls.2025.3563855
Donghua Wang, Wen Yao, Tingsong Jiang, Xiaohu Zheng, Junqi Wu
{"title":"Improving the Transferability of Adversarial Examples by Feature Augmentation","authors":"Donghua Wang, Wen Yao, Tingsong Jiang, Xiaohu Zheng, Junqi Wu","doi":"10.1109/tnnls.2025.3563855","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3563855","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"25 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143926661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Chest X-Ray Visual Saliency Modeling: Eye-Tracking Dataset and Saliency Prediction Model. 胸部x线视觉显著性建模：眼动追踪数据集和显著性预测模型。
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2025-05-08 DOI: 10.1109/tnnls.2025.3564292
Jianxun Lou,Huasheng Wang,Xinbo Wu,John Cho Hui Ng,Richard White,Kaveri A Thakoor,Padraig Corcoran,Ying Chen,Hantao Liu
{"title":"Chest X-Ray Visual Saliency Modeling: Eye-Tracking Dataset and Saliency Prediction Model.","authors":"Jianxun Lou,Huasheng Wang,Xinbo Wu,John Cho Hui Ng,Richard White,Kaveri A Thakoor,Padraig Corcoran,Ying Chen,Hantao Liu","doi":"10.1109/tnnls.2025.3564292","DOIUrl":"https://doi.org/10.1109/tnnls.2025.3564292","url":null,"abstract":"Radiologists' eye movements during medical image interpretation reflect their perceptual-cognitive processes of diagnostic decisions. The eye movement data can be modeled to represent clinically relevant regions in a medical image and potentially integrated into an artificial intelligence (AI) system for automatic diagnosis in medical imaging. In this article, we first conduct a large-scale eye-tracking study involving 13 radiologists interpreting 191 chest X-ray (CXR) images, establishing a best-of-its-kind CXR visual saliency benchmark. We then perform analysis to quantify the reliability and clinical relevance of saliency maps (SMs) generated for CXR images. We develop CXR image saliency prediction method (CXRSalNet), a novel saliency prediction model that leverages radiologists' gaze information to optimize the use of unlabeled CXR images, enhancing training and mitigating data scarcity. We also demonstrate the application of our CXR saliency model in enhancing the performance of AI-powered diagnostic imaging systems.","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"20 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143926508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
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