计算机科学最新文献_第10页

A codebook-driven approach for low-light image enhancement 一种码本驱动的微光图像增强方法

IF 7.5 2区计算机科学

Engineering Applications of Artificial Intelligence Pub Date : 2025-05-30 DOI: 10.1016/j.engappai.2025.111115

Xu Wu , Xianxu Hou , Zhihui Lai , Jie Zhou , Ya-nan Zhang , Witold Pedrycz , Linlin Shen

{"title":"A codebook-driven approach for low-light image enhancement","authors":"Xu Wu , Xianxu Hou , Zhihui Lai , Jie Zhou , Ya-nan Zhang , Witold Pedrycz , Linlin Shen","doi":"10.1016/j.engappai.2025.111115","DOIUrl":"10.1016/j.engappai.2025.111115","url":null,"abstract":"<div><div>Low-light image enhancement (LLIE) aims to improve low-illumination images. However, existing methods face two challenges: (1) uncertainty in restoration from diverse brightness degradations; (2) loss of texture and color information caused by noise suppression and light enhancement. In this paper, we propose a novel enhancement approach, CodeEnhance, by leveraging discrete codebook priors and image refinement to address these challenges. In particular, we reframe LLIE as learning an <strong>image-to-code</strong> mapping from low-light images to discrete codebook, which has been learned from high-quality images. To enhance this process, a Semantic Embedding Module (SEM) is introduced to integrate semantic information with low-level features, and a Codebook Shift (CS) mechanism, designed to adapt the pre-learned codebook to better suit the distinct characteristics of our low-light dataset. Additionally, we present an Interactive Feature Transformation (IFT) module to refine texture and color information during image reconstruction, allowing for interactive enhancement based on user preferences. Extensive experiments on both real-world and synthetic benchmarks demonstrate that the incorporation of prior knowledge and controllable information transfer significantly enhances LLIE performance in terms of quality and fidelity. The proposed CodeEnhance exhibits superior robustness to various degradations, including uneven illumination, noise, and color distortion. The code can be obtained from <span><span>https://github.com/csxuwu/CodeEnhance</span><svg><path></path></svg></span> or <span><span>https://www.scholat.com/laizhihui.cn</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":50523,"journal":{"name":"Engineering Applications of Artificial Intelligence","volume":"156 ","pages":"Article 111115"},"PeriodicalIF":7.5,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144169204","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}

引用次数: 0

PaperEval: A universal, quantitative, and explainable paper evaluation method powered by a multi-agent system 论文评估：一种通用的、定量的、可解释的论文评估方法，由多代理系统提供动力

IF 7.4 1区管理学

Information Processing & Management Pub Date : 2025-05-30 DOI: 10.1016/j.ipm.2025.104225

Shengzhi Huang , Qicong Wang , Wei Lu , Lingyu Liu , Zhenzhen Xu , Yong Huang

{"title":"PaperEval: A universal, quantitative, and explainable paper evaluation method powered by a multi-agent system","authors":"Shengzhi Huang , Qicong Wang , Wei Lu , Lingyu Liu , Zhenzhen Xu , Yong Huang","doi":"10.1016/j.ipm.2025.104225","DOIUrl":"10.1016/j.ipm.2025.104225","url":null,"abstract":"<div><div>The immediate and efficient evaluation of scientific papers is crucial for advancing scientific progress. However, traditional peer review faces numerous challenges, including reviewer bias, limited expertise, and an overwhelming volume of publications. Recent advancements in large language models (LLMs) suggest their potential as promising evaluators, capable of approximating human cognition and understanding both ordinary and scientific language. In this study, we propose a novel AI-empowered paper evaluation method, PaperEval (PE), which utilizes a multi-agent system powered by LLMs to design evaluation criteria, assess paper quality along different dimensions, and generate explainable scores. We also introduce two variants of PE, Multi-round PaperEval (MPE) and Self-correcting PaperEval (SPE), which produce comparable scores and iteratively refine the evaluation criteria, respectively. To test our methods, we conducted a comprehensive analysis of three curated datasets, encompassing about 66,000 target papers of varying quality across the fields of mathematics, physics, chemistry, and medicine. The results show that our methods can effectively discern between high- and low-quality papers based on scores derived in four dimensions: Question, Method, Result, and Conclusion. Moreover, the results highlight the evaluation’s stability over time, the impact of comparative papers, the advantages of the multi-round evaluation strategy, and the varying correlation between AI ratings and scientific impact across different disciplines. Our method can seamlessly integrate into the existing scientific evaluation system, offering valuable insights for the development of AI-driven scientific evaluation.</div></div>","PeriodicalId":50365,"journal":{"name":"Information Processing & Management","volume":"62 6","pages":"Article 104225"},"PeriodicalIF":7.4,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noise-like pulse generation in erbium-doped fiber laser by hybrid mode-locking of graded index multimode fiber and nonlinear optical loop mirror 渐变折射率多模光纤与非线性光环镜混合锁模在掺铒光纤激光器中产生类噪声脉冲

IF 2.6 3区计算机科学

Optical Fiber Technology Pub Date : 2025-05-30 DOI: 10.1016/j.yofte.2025.104285

Hikmat Maad , Norita Mohd Yusoff , Siti Barirah Ahmad Anas , Makhfudzah Mokhtar , Mohd Adzir Mahdi , Zuraidah Zan

{"title":"Noise-like pulse generation in erbium-doped fiber laser by hybrid mode-locking of graded index multimode fiber and nonlinear optical loop mirror","authors":"Hikmat Maad , Norita Mohd Yusoff , Siti Barirah Ahmad Anas , Makhfudzah Mokhtar , Mohd Adzir Mahdi , Zuraidah Zan","doi":"10.1016/j.yofte.2025.104285","DOIUrl":"10.1016/j.yofte.2025.104285","url":null,"abstract":"<div><div>The practical implementation of graded-index multimode fiber (GIMF) as a saturable absorber (SA) in mode-locked fiber lasers is limited by the requirement for extremely short fiber lengths, making its reproducibility and investigation difficult. In this work, we demonstrate stable noise-like pulse (NLP) generation using a hybrid mode-locked fiber laser that integrates a nonlinear optical loop mirror (NOLM) with a 32 m GIMF segment. Nonlinear multimode interference (NL-MMI) and nonlinear phase accumulation within the NOLM bidirectional-loop (bi-loop) were leveraged to enhance the saturable absorption characteristics. Comprehensive measurements comparing the nonlinear transmission behavior of GIMF alone and NOLM-GIMF structures confirmed a substantial improvement in modulation depth. NLP generation was systematically investigated across GIMF lengths from 30 m to 62.5 m, with optimal performance observed at 32 m, yielding a 3-dB bandwidth of 22.38 nm, spike width of 153.9 fs, and pedestal width of 61.73 ps. The obtained pulse is significantly shorter than previously reported NLP, which is typically reported in the nanosecond range for the 1.5 µm regime. Long-term stability testing over 300 min showed minimal spectral and temporal fluctuations, confirming robust operation. The proposed NOLM-GIMF design successfully overcomes the short-length constraint of GIMF-based SAs, offering a scalable and reliable solution for high-energy, broadband NLP fiber lasers in the 1.5 µm regime. This work advances mode-locked fiber laser technology by improving stability and scalability for ultrafast photonics applications.</div></div>","PeriodicalId":19663,"journal":{"name":"Optical Fiber Technology","volume":"93 ","pages":"Article 104285"},"PeriodicalIF":2.6,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Radar Anti-Jamming Performance Evaluation: A Novel Model Based on Measurement Error and RCS Distributions 雷达抗干扰性能评估：一种基于测量误差和RCS分布的新模型

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-05-30 DOI: 10.1049/rsn2.70038

Linqi Zhao, Liang Yan, Xiaojun Duan, Zhengming Wang, Yike Xiao

{"title":"Radar Anti-Jamming Performance Evaluation: A Novel Model Based on Measurement Error and RCS Distributions","authors":"Linqi Zhao, Liang Yan, Xiaojun Duan, Zhengming Wang, Yike Xiao","doi":"10.1049/rsn2.70038","DOIUrl":"https://doi.org/10.1049/rsn2.70038","url":null,"abstract":"<p>The growing complexity of the electromagnetic environment makes accurate radar anti-jamming performance evaluation essential for assessing the effectiveness of electronic countermeasure systems. In jamming scenarios, smaller measurement errors in range indicate a radar's enhanced ability to counteract interference. This paper presents a novel approach to radar anti-jamming performance evaluation based on statistical models of radar cross-section (RCS) fluctuations. Assuming that the RCS follows one of several distributions—Swerling I–II, Swerling III–IV, or Rayleigh—we derive the corresponding distributions of radar parameter measurement errors. In our model, the measurement error is assumed to follow a conditional Gaussian distribution, with its standard deviation modelled as a random variable dependent on both the RCS and the signal-to-interference ratio (SIR). This formulation establishes a quantitative relationship between measurement error, SIR, and RCS, and enables derivation of the error's probability density function (PDF). Consequently, we obtain a novel expression for the radar anti-jamming rate. We compare this model to two conventional approaches: one that assumes a constant error variance across all target ranges and another that assumes a fixed variance that varies with target ranges but without incorporating distributional uncertainty. The proposed Error Distribution Estimation (EDE) model leverages the full probability distribution of measurement errors together with real-time parameter error data fusion. This integration provides a more continuous and nuanced evaluation of radar anti-jamming performance, potentially leading to more reliable assessments under a range of operating conditions.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cyber4OT dataset: Network traces for cyber-security vulnerability evaluation in industrial control systems Cyber4OT数据集：用于工业控制系统中网络安全漏洞评估的网络痕迹

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-05-30 DOI: 10.1016/j.softx.2025.102196

Krzysztof Cabaj , Sebastian Plamowski , Patryk Chaber , Maciej Ławryńczuk , Piotr Marusak , Robert Nebeluk , Andrzej Wojtulewicz , Krzysztof Zarzycki

{"title":"Cyber4OT dataset: Network traces for cyber-security vulnerability evaluation in industrial control systems","authors":"Krzysztof Cabaj , Sebastian Plamowski , Patryk Chaber , Maciej Ławryńczuk , Piotr Marusak , Robert Nebeluk , Andrzej Wojtulewicz , Krzysztof Zarzycki","doi":"10.1016/j.softx.2025.102196","DOIUrl":"10.1016/j.softx.2025.102196","url":null,"abstract":"<div><div>The article introduces the Cyber4OT dataset containing network traces concerning normal and simulated attacker-hostile activity in an Industrial Control System (ICS) environment. As many as 96 traces contain over 4.25 million packets and have over 385 MB capacity. The simulated attacks have been performed on a dedicated laboratory testbed. The testbed mimics industrial plants’ Information Technology (IT) and Operational Technology (OT) infrastructure. The testbed deliberately uses continuous and binary control processes of fast and slow dynamics. Industrial Programmable Logic Controllers (PLCs) are used to control the processes. A dedicated industrial network provides the communication between the ICS equipment, Supervisory Control and Data Acquisition (SCADA) system and Human Machine Interface (HMI) panels. The communication is configured to test multiple communication protocols, including the standard industrial Modbus protocol. The entire industrial infrastructure is connected to an external office network. Since the infrastructure and its components are typical of industrial solutions, the described dataset collected using such a realistic testbed could be beneficial for a broad scope of researchers to evaluate the vulnerability of ICSs to cyber attacks using classical and artificial intelligence methods.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"31 ","pages":"Article 102196"},"PeriodicalIF":2.4,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167994","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

Rethinking the Fundamental Performance Limits of Integrated Sensing and Communication Systems 重新思考集成传感和通信系统的基本性能限制

IF 10.4 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2025-05-30 DOI: 10.1109/twc.2025.3572678

Zhouyuan Yu, Xiaoling Hu, Chenxi Liu, Mugen Peng

引用次数: 0

HAC-19: A Co-Infection Model for Infectious Diseases using IoT-Networked Robots HAC-19：基于物联网机器人的传染病共感染模型

IF 10.6 1区计算机科学

IEEE Internet of Things Journal Pub Date : 2025-05-30 DOI: 10.1109/jiot.2025.3575273

Kennedy Chinedu Okafor, Andrew Omame, Titus I. Chinebu, Kelvin Anoh, Ijeoma P. Okafor, Sabita Marharjan, Simeon Keates, Bamidele Adebisi, Anthony C. Okoronkwo

引用次数: 0

FHG-GAN: Fuzzy Hypergraph Generative Adversarial Network with Large Foundation Models for Alzheimer's Disease Risk Prediction 基于大型基础模型的模糊超图生成对抗网络用于阿尔茨海默病风险预测

IF 11.9 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2025-05-30 DOI: 10.1109/tfuzz.2025.3572479

Xia-an Bi, Zicheng Yang, Dayou Chen, Jie Wang, Zhaoxu Xing, Luyun Xu

引用次数: 0

A Method to Compute the Probability of Positioning Failure for Vehicles in the Context of Dependence Between Parameter Estimation and Statistical Hypothesis Testing 基于参数估计和统计假设检验的车辆定位失效概率计算方法

IF 6.8 2区计算机科学

IEEE Transactions on Vehicular Technology Pub Date : 2025-05-30 DOI: 10.1109/tvt.2025.3572368

Sebastian Ciuban, Peter J.G. Teunissen, Christian C.J.M. Tiberius

引用次数: 0

High Power Microwave Ring-Focused Dual Reflector Antenna for Satellite Communication and Interference, and wireless Microwave Power Transmission 用于卫星通信与干扰、无线微波功率传输的高功率微波环聚焦双反射面天线