计算机科学最新文献

{"title":"Unifying Dimensions: A Linear Adaptive Mixer for Lightweight Image Super-Resolution","authors":"Zhenyu Hu, Wanjie Sun","doi":"10.1109/tip.2025.3620672","DOIUrl":"https://doi.org/10.1109/tip.2025.3620672","url":null,"abstract":"","PeriodicalId":13217,"journal":{"name":"IEEE Transactions on Image Processing","volume":"47 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310822","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}

{"title":"JOANet: An Integrated Joint Optimization Architecture Making Medical Image Segmentation Really Helped by Super-resolution Pre-processing","authors":"Cheng-Hao Qiu, Xian-Shi Zhang, Yong-Jie Li","doi":"10.1109/tip.2025.3620627","DOIUrl":"https://doi.org/10.1109/tip.2025.3620627","url":null,"abstract":"","PeriodicalId":13217,"journal":{"name":"IEEE Transactions on Image Processing","volume":"100 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310824","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}

{"title":"Optimal Control of Differentially Private EV Charging: A Scalable Learning Approach under Uncertainty","authors":"Tong Wu, Anna Scaglione, Nikhil Ravi, Sean Peisert, Daniel Arnold","doi":"10.1109/jiot.2025.3622650","DOIUrl":"https://doi.org/10.1109/jiot.2025.3622650","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"12 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310978","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}

{"title":"Hierarchical Control of Non-deterministic Linear Systems Using ($gamma,delta,rho$)-Abstraction","authors":"Armin Pirastehzad, Arjan van der Schaft, Bart Besselink","doi":"10.1109/tac.2025.3622908","DOIUrl":"https://doi.org/10.1109/tac.2025.3622908","url":null,"abstract":"","PeriodicalId":13201,"journal":{"name":"IEEE Transactions on Automatic Control","volume":"100 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145311038","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}

{"title":"Optimization of road route alignment: a systematic literature review with meta analysis","authors":"Shitij Agrawal,&nbsp;Sanskar Jamadar,&nbsp;Suraj Sawant,&nbsp;Ranjeet Vasant Bidwe,&nbsp;Amit Joshi","doi":"10.1007/s10462-025-11396-3","DOIUrl":"10.1007/s10462-025-11396-3","url":null,"abstract":"<div><p>This systematic literature review (SLR) integrates Geographic Information Systems (GIS), deep learning, and Multi-Criteria Decision Making (MCDM) to enhance road route optimization, crucial for global infrastructure development. This SLR aims to identify existing research trends, methodologies, research gaps and propose a generalized framework for streamlining the road route optimization process. The review addresses three key research questions: RQ-1. The application of deep learning for Land Use and Land Cover (LULC) classification, RQ-2. The use of MCDM techniques in road route alignment and RQ-3. Techniques for optimizing road route alignment. Utilizing PRISMA, we assessed 370 papers, selected 132 through full-text evaluation, and added 25 via. snowball sampling, totalling 157 records for analysis. The results reveal trends in current research, geographical distribution and the evolution of methodologies. It is found that Deep learning techniques significantly improve LULC classification accuracy, while MCDM techniques enable a holistic approach to road route alignment by incorporating diverse factors. The proposed generalized framework outlines a systematic approach encompassing problem definition, criteria selection, data preparation, deep learning-based LULC classification, MCDM and Least Cost Path analysis for road route alignment. This work uniquely identifies research trends, methodologies, and gaps in road route optimization, addressing three specific research questions (RQ-1 to RQ-3) on deep learning (LULC classification), MCDM techniques, and route alignment optimization. This work also highlights the scope for integrating emerging technologies, enhancing MCDM approaches, promoting cross-disciplinary collaboration, addressing data availability and quality, conducting case studies, emphasizing sustainability, resilience and focusing on global and regional contexts. This SLR will surely contribute to the development of efficient, sustainable and equitable road route optimization strategies for better infrastructure planning and worldwide development.</p></div>","PeriodicalId":8449,"journal":{"name":"Artificial Intelligence Review","volume":"58 12","pages":""},"PeriodicalIF":13.9,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10462-025-11396-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145316409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual-Branch Enhancement and Multi-Modal Fusion for Low-Light Visible Polarization Image Object Detection in Dense Smog Environments","authors":"Xin Zhang,&nbsp;Jingjing Zhang,&nbsp;Fudong Nian,&nbsp;Jianguo Huang,&nbsp;Teng Li","doi":"10.1049/ipr2.70234","DOIUrl":"https://doi.org/10.1049/ipr2.70234","url":null,"abstract":"<p>In scenarios with heavy smog, the accuracy of object detection in low-light visible polarization images significantly decreases. To address this issue, we propose a dual-branch enhancement and multi-modal fusion network for object detection in low-light visible polarization images in dense smog environments. Specifically, the network consists of an image enhancement stage and an object detection stage. In the image enhancement stage, a dual-branch enhancement structure comprising greyscale feature map prediction and atmospheric light transmission network is proposed to remove noise from the images and enhance texture information, jointly generating enhanced visible polarization images. In the object detection stage, feature maps of the enhanced visible polarization images and the degree of visible polarization images are fused, and their fused texture-enhanced feature maps are fed into the detection module for object detection. Additionally, we have collected a dataset of low-light visible polarization images under real smog conditions. Extensive experiments demonstrate that our method can generate visually improved enhanced images and significantly increase detection accuracy and the number of detected objects in low-light and dense smog environments.</p>","PeriodicalId":56303,"journal":{"name":"IET Image Processing","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ipr2.70234","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145317322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proceedings of the IEEE Publication Information","authors":"","doi":"10.1109/JPROC.2025.3610940","DOIUrl":"10.1109/JPROC.2025.3610940","url":null,"abstract":"","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"113 6","pages":"C2-C2"},"PeriodicalIF":25.9,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11207089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IEEE Foundation","authors":"","doi":"10.1109/JPROC.2025.3616533","DOIUrl":"10.1109/JPROC.2025.3616533","url":null,"abstract":"","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"113 6","pages":"608-608"},"PeriodicalIF":25.9,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11207082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D target localization using distributed 1D Radar: A weighted fusion DPD method and fast implement","authors":"Zhangcheng Yu, Jianfeng Li, Jianghao Xiao, Kehui Zhu, Pan Li","doi":"10.1109/taes.2025.3622575","DOIUrl":"https://doi.org/10.1109/taes.2025.3622575","url":null,"abstract":"","PeriodicalId":13157,"journal":{"name":"IEEE Transactions on Aerospace and Electronic Systems","volume":"101 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive Container Migration Strategy for Delay-Sensitive and Dependent Tasks in Internet of Vehicles","authors":"Weiwen Zhang, Shiji Zhang, Shifan Huang, Jianqi Liu","doi":"10.1109/tsc.2025.3622598","DOIUrl":"https://doi.org/10.1109/tsc.2025.3622598","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"48 17 1","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}