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SSRN 2024年

作者： Zhang, Xiongtao Yin, Zezong Jiang, Yunliang Jiang, Yizhang Sun, Danfeng Liu, Yong School of Information Engineering Huzhou University Huzhou31300 China Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal University Jinhua321004 China School of Computer Science and Technology Zhejiang Normal University Jinhua321004 China School of Artificial Intelligence and Computer Science Jiangnan University Wuxi 214122 China Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Wuhan430074 China School of Computer Science Hangzhou Dianzi University Hangzhou310018 China College of Control Science and Engineering Zhejiang University Hangzhou310027 China

In order to enpower the hight performance as well as interpretability of low-order TSK fuzzy classifier, a born-again TSK fuzzy classier embedded with decoupled fuzzy dark knowledge distillation called HTSK-LLM-DKD is proposed in this study. HTSK-LLM DKD achieves the following distinctive characteristics: 1) It takes high-order TSK as teacher model and low-order TSK fuzzy classifier as student model, and leverages the proposed Least Learning Machine based Decoupling Knowledge Distillation to distill the fuzzy dark knowledge from high-order TSK fuzzy classifier to low-order TSK fuzzy classifier, which resulting in low-order TSK fuzzy classifier endowed with enhanced performance surpassing or at least comparable to high-order TSK fuzzy classifier;specifically 2) The Negative Euclidean distance between the output of teacher model and each class is employed to obtain the teacher logits, and then it computes teacher/student soft labels by the softmax function with distilling temperature parameter;3) By reformulating the Kullback Leibler divergence, it decouples fuzzy dark knowledge into target class knowledge and non-target class knowledge, and transfers them to student model, which taking HTSK-LLM-DKD with outstanding performance and relatively fast running speed. Extensive experiment results on UCI benchmarking datasets and real-world dataset Cleveland Heart Disease demonstrate the effectiveness of the proposed HTSK-LLM-DKD. © 2024, The Authors. All rights reserved.

关键词： Students

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Chinese expert consensus on imaging assessment of pancreatic ductal adenocarcinoma(PDAC)resectability

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Journal of Pancreatology 2025年第1期8卷 1-7页

作者： Huadan Xue Ming He Zaiyi Liu Yang Du Menghua Dai Zhiyong Liang Xinming Zhao Min Chen Zhengyu Jin of Radiology Department of Radiology Peking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesShuaifuyuan No.1Dongcheng DistrictBeijing 100730China Department of Radiology Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080China Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080China CAS Key Laboratory of Molecular Imaging Beijing Key Laboratory of Molecular ImagingInstitute of AutomationChinese Academy of SciencesBeijing 100190China Department of General Surgery Peking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesShuaifuyuan No.1Dongcheng DistrictBeijing 100730China Department of Pathology Peking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesShuaifuyuan No.1Dongcheng DistrictBeijing 100730China Department of Diagnostic Radiology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Department of Radiology Beijing HospitalNational Center of GerontologyInstitute of Geriatric MedicineChinese Academy of Medical Sciences#1 Dahua RoadDongdanDongcheng DistrictBeijing 100005China 不详

Evaluation of pancreatic ductal adenocarcinoma(PDAC)resectability plays an important role in the workflow of diagnosis and treatment of PDAC including the decision of surgery or not,the selection of surgery methods,evaluation of the adopting of neoadjuvant therapy or *** examination is an important tool to evaluate the resectability of PDAC,and various imaging examination should be used rationally and *** expert consensus summarized and discussed the key issues in imaging assessment of the resectability of PDAC,such as the selection of examination methods,key points of imaging assessment,and the application of new technologies,in order to better serve and guide the diagnosis and treatment of PDAC patients.

关键词： Imaging Pancreatic ductal adenocarcinoma Resectability

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Optimizing Neural Network image Classification with Fractional Order Gradient Methods

SSRN

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SSRN 2023年

作者： Zhao, Haiming Chen, Jiejie Jiang, Ping Zeng, Zhigang Fan, Rui Yang, Honggang School of Computer and Information Engineering Hubei Normal University Huangshi435000 China School of Automation Wuhan University of Technology Wuhan430000 China School of Computer Hubei PolyTechnic University Huangshi435000 China Faculty of Artificial Intelligence Education Central China Normal University Wuhan430000 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430000 China Key Laboratory of Image Information Processing and Intelligent Control Ministry of Education of China Wuhan430000 China

As deep learning technology increasingly permeates various fields, the significance of optimization algorithms in neural network training has become more prominent. Typically, the training of deep learning networks relies on gradient descent optimizers based on calculus computations. Traditional integer-order calculus optimizers often fall short when dealing with complex and subtle data. To overcome these limitations, we innovatively utilized the Grünwald-Letnikov and Caputo definitions of fractional calculus to develop two new optimization algorithms: Fractional Order Adagrad (FAdagrad) and Fractional Order Adam (FAdam). These algorithms have been proven to converge to extremal points.A key advantage of our methods is their capability in handling complex, high-dimensional tasks, such as artistic painting image classification, where they exhibit exceptional performance in recognizing and processing subtle differences. The robustness and adaptability of these algorithms were further validated through experiments on the CIFAR-100 dataset. The results demonstrate the efficacy of fractional order optimizers in enhancing training efficiency and accuracy. © 2023, The Authors. All rights reserved.

关键词： image classification

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Attribute-specific control units in StyleGAN for fine-grained image manipulation

arXiv

引用

arXiv 2021年

作者： Wang, Rui Chen, Jian Yu, Gang Sun, Li Yu, Changqian Gao, Changxin Sang, Nong Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Tencent Shanghai China East China Normal University Shanghai China

image manipulation with StyleGAN has been an increasing concern in recent years. Recent works have achieved tremendous success in analyzing several semantic latent spaces to edit the attributes of the generated images. However, due to the limited semantic and spatial manipulation precision in these latent spaces, the existing endeavors are defeated in fine-grained StyleGAN image manipulation, i.e., local attribute translation. To address this issue, we discover attribute-specific control units, which consist of multiple channels of feature maps and modulation styles. Specifically, we collaboratively manipulate the modulation style channels and feature maps in control units rather than individual ones to obtain the semantic and spatial disentangled controls. Furthermore, we propose a simple yet effective method to detect the attribute-specific control units. We move the modulation style along a specific sparse direction vector and replace the filter-wise styles used to compute the feature maps to manipulate these control units. We evaluate our proposed method in various face attribute manipulation tasks. Extensive qualitative and quantitative results demonstrate that our proposed method performs favorably against the state-of-the-art methods. The manipulation results of real images further show the effectiveness of our method. © 2021, CC BY.

关键词： Modulation

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Uncovering novel therapeutic clues for hypercoagulable active ulcerative colitis:novel findings from old data

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Gastroenterology Report 2024年第1期12卷 485-498页

作者： Zhexuan Yu Danya Zhao Yusen Zhang Kezhan Shen Shisi Shao Xiaobo Chen Jianlong Shu Guanhua Li The First School of Clinical Medicine Zhejiang Chinese Medical UniversityHangzhouZhejiangP.R.China Department of Gastroenterology Hangzhou Red Cross Hospital/Hospital of Integrated Chinese and Western Medicine Hospital of Zhejiang ProvinceZhejiang Chinese Medical UniversityHangzhouZhejiangP.R.China Department of Oncology Hangzhou Traditional Chinese Medicine HospitalZhejiang Chinese Medical UniversityHangzhouZhejiangP.R.China Department of Radiology Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdongP.R.China Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application GuangzhouGuangdongP.R.China Department of Cardiovascular Surgery Shenshan Medical CenterSun Yat-Sen Memorial HospitalSun Yat-sen UniversityShanweiGuangdongP.R.China Department of Cardiovascular Surgery Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhouGuangdongP.R.China

Background:Hypercoagulability has been shown to act as an important component of ulcerative colitis(UC)pathogenesis and disease activity,and is strongly correlated with the occurrence of venous thromboembolism(VTE).This study aimed at providing novel therapeutic clues for hypercoagulable active ***:The coagulation score model was developed using VTE cohorts,and the predictive performance of this model was evaluated by coagulation subtypes of UC patients,which were clustered by the unsupervised ***,the response of UC of distinct coagulation types,as identified by the coagulation scoring model,to different biological agents was *** cells and molecules that were associated with hypercoagulable active UC were explored by employing gene set variation analysis,single-sample gene set enrichment analysis,univariate logistic regression analysis,and ***:A coagulation scoring model was established,which includes five key coagulation factors(ARHGAP35,CD46,BTK,C1QB,and F2R),and accurately distinguished the coagulation subtypes of *** comparing anti-TNF-αagents with other biological agents after determining the model,especially golimumab,it showed more effective treatment for hypercoagulable active ***8 has been identified as playing an important role in the tightly interconnected network between the immune-inflammatory system and coagulation system in *** analysis showed that the expression of CXCL8,BTK,C1QB,and F2R was upregulated in active ***:Anti-TNF-αagents have significant therapeutic effects on hypercoagulable active UC,and the strong association between CXCL8,hypercoagulation,and disease activity provides a novel therapeutic insight into hypercoagulable active UC.

关键词： ulcerative colitis hypercoagulable state coagulation score model anti-TNF-αagents CXCL8

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Scale-free distributed control for the DC MG cluster under DoS attacks: An asynchronous switched strategy

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Automatica 2025年 179卷

作者： Fabin Cheng Jingang Lai School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Huazhong University of Science and Technology Wuhan 430074 China

This paper studies the voltage restoration problem of the DC Microgrid (MG) cluster with a two-layer communication structure under Denial-of-Service (DoS) attacks. Based on the open multiagent framework, an asynchronous switching strategy is designed to suppress the impact of DoS attacks on the entire MG cluster’s voltage restoration. Meanwhile, we derived the relationship between attack model parameters and communication link switching mode selection through the general model of DoS attacks and asynchronous switching methods based on average dwell time. Moreover, the designed distributed control protocol is scale-free; that is, it does not rely on any information from the two-layer communication structure and the number of distributed generations (DGs), which makes it universal. Through rigorous theoretical proof, it has been proven that in the DC MG cluster with two-layer communication structures, voltage restoration can be achieved regardless of the number and structure of DGs being attacked. Finally, two simulation examples on the MATLAB/SimPowerSystem, including a DC MG cluster consisting of 8 DGs and an IEEE 33-node system are used to investigate the scalability and flexibility of the proposed distributed control algorithm.

关键词： Asynchronous switched strategy DC MG cluster Distributed control DoS attack Scale-free

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Uncertainty-Aware Multi-Parametric Magnetic Resonance image Information Fusion for 3D Object Segmentation

arXiv

引用

arXiv 2022年

作者： Li, Cheng Osman, Yousuf Babiker M. Huang, Weijian Xue, Zhenzhen Han, Hua Zheng, Hairong Wang, Shanshan Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China University of Chinese Academy of Sciences Beijing100049 China Peng Cheng Laboratory Shenzhen518066 China Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application Guangzhou510080 China

Multi-parametric magnetic resonance (MR) imaging is an indispensable tool in the clinic. Consequently, automatic volume-of-interest segmentation based on multi-parametric MR imaging is crucial for computer-aided disease diagnosis, treatment planning, and prognosis monitoring. Despite the extensive studies conducted in deep learning-based medical image analysis, further investigations are still required to effectively exploit the information provided by different imaging parameters. How to fuse the information is a key question in this field. Here, we propose an uncertainty-aware multi-parametric MR image feature fusion method to fully exploit the information for enhanced 3D image segmentation. Uncertainties in the independent predictions of individual modalities are utilized to guide the fusion of multi-modal image features. Extensive experiments on two datasets, one for brain tissue segmentation and the other for abdominal multi-organ segmentation, have been conducted, and our proposed method achieves better segmentation performance when compared to existing models. © 2022, CC BY-NC-ND.

关键词： Magnetic resonance imaging

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Evolutionary attraction–repulsion algorithm embedded with LLM for UAV task allocation

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Advanced Engineering Informatics 2025年 66卷

作者： Wu, Bowen Xiao, Renbin School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Institute of Artificial Intelligence Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Wuhan430074 China

Labor division provides an adaptive and scalable technique for unmanned systems. However, its designing process usually relies heavily on the manually crafted paradigms, leading to inefficiencies and insufficient performance. To overcome these challenges, this paper introduce an evolutionary approach to labor division algorithm design. Drawing inspiration from the regulatory behaviors observed in natural lion populations, we propose a bipolar feedback-guided attraction–repulsion mechanism. A formal model is developed to encapsulate this mechanism, and we provide an in-depth analysis of the algorithm's evolution through the framework of systems science. In addition, we leverage prompt engineering techniques to integrate a large language model (LLM) with our proposed mechanism, facilitating a bidirectional enhancement between the two. This integration culminates in the development of the ARE-LLM framework, a robust and adaptive solution for designing labor division algorithms. To demonstrate the practical applicability of our approach, we apply the ARE-LLM framework to the UAV-based task allocation problem for enemy air defense suppression. The experimental results indicate that our method outperforms several advanced approaches. In a scenario involving 50 UAVs tasked with completing 300 assignments, the total distance traveled is only 9 % of that required by the ALPDA algorithm, while the processing time is reduced to 8 % of that used by ALPDA. © 2025 Elsevier Ltd

关键词： Target drones

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A mini-review of noble-metal-free electrocatalysts for overall water splitting in non-alkaline electrolytes

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Materials Reports(Energy) 2021年第2期1卷 48-60页

作者： Jie Yu Yawen Dai Qijiao He Dongqi Zhao Zongping Shao Meng Ni Department of Building and Real Estate The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong999077PR China School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control of Education MinistryHuazhong University of Science and TechnologyWuhan430074PR China State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical EngineeringNanjing Tech UniversityNanjing210009PR China Department of Chemical Engineering Curtin UniversityPerthWestern Australia6845Australia Environmental Energy Research Group Research Institute for Sustainable Urban Development(RISUD)The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong999077PR China

Development of noble-metal-free materials with remarkable electrocatalytic water-splitting performance in acidic or neutral media has sparked considerable attention in recent ***,we review the latest research on design and fabrication of precious-metal-free catalytic materials for overall water electrolysis in non-alkaline environment,especially highlighting several optimizing approaches to enhance the catalytic behavior and to realize effective bifunctional *** these involved noble-metal-free electrocatalysts are classified into transition-metal oxides(TMOs),transition-metal nitrides(TMNs),transition-metal carbides(TMCs),transition-metal phosphides(TMPs),transition-metal chalcogenides,metal complexes,and metal-free carbons,as shown in the main ***,the paper also offers an introduction of the fundamental electrochemistry of water splitting before entering the subject,as well as a prospective discussion on mechanism understanding,novel catalysts fabrication,and standardized performance measurements/evaluation in the last section.

关键词： Noble-metal-free electrocatalyst Overall water splitting Oxygen evolution reaction Hydrogen evolution reaction Non-alkaline electrolyte Bifunctional catalytic electrode

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New Insights on the Stability of Sampled-Data-Based LFC for Power Systems: A Delay-Interval-Dependent LKF Approach

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IEEE Transactions on Smart Grid 2025年

作者： Wang, Wei-Min Wang, Yan-Wu Wan, Qian Zeng, Hong-Bing Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Wuhan430074 China Hunan University of Technology School of Electrical and Information Engineering Zhuzhou412007 China

This paper analyzes the stability problem of load frequency control (LFC) for power systems under uncertain transmission delays. First, an argumented LFC system model accounting for uncertainties in transmission delays is proposed. Then, a novel delay-interval-dependent Lyapunov-Krasovskii functional (LKF) that takes into account both the upper and lower bounds of the transmission delay is proposed. Several less conservative stability criteria are derived using the proposed LKF. Based on the stability criterion obtained, the sampling interval and the upper and lower bounds of the transmission delay are taken as the conditions to guide the controller design. Finally, case studies are conducted based on a one-area power system and a three-area power system, both integrated with wind and solar power generation. The simulation comparison results demonstrate that the proposed LFC scheme exhibits strong robustness against uncertain transmission delays, load fluctuations, and the intermittent generation of wind and solar power. © 2010-2012 IEEE.

关键词： Stability criteria

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