检索结果-内蒙古大学图书馆

Maximal η-clique maintenance over uncertain graph streams

Information sciences 2025年 717卷

作者： Ma, Ziyi Wang, Liqing Yang, Jianye Zhou, Xu Li, Kenli Gao, Cuiyun School of Artificial Intelligence Hebei University of Technology Tianjin 300401 China Chinacoal Beijing Coal Mining Machinery Co. Ltd. Beijing 102400 China Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou University Wuzhou 543002 China Department of New Networks PengCheng Laboratory Shenzhen 518055 China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou 510006 China College of Computer Science and Electronic Engineering Hunan University Changsha 410082 China School of Computer Science and Technology Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China

Maximal clique enumeration is a critical task for analyzing graph data and has a wide range of applications, such as community detection, protein complex identification, and group recommendation. Although many efficient algorithms have been proposed, most of them are designed for static or deterministic graphs. However, in many real-life applications, graphs are often highly dynamic and nondeterministic. In this paper, we study the problem of maximal η-clique maintenance (shorted as MCM) over uncertain graph streams. Given an uncertain graph G and a probability threshold η, MCM reports all incremental η-cliques in G for each update edge of G. To the best of our knowledge, we are the first to systematically study this problem. We first develop a local pivot-based enumeration technique that utilizes the pivot priority of candidates to achieve effective pruning during the maximal η-clique enumeration procedure. Based on the technique, we propose a competitive baseline approach LPMCM, which finds newly generated maximal η-cliques and internal maximal η-cliques. Although LPMCM avoids repeated enumeration of the same maximal η-cliques, it still requires expensive costs in terms of η-clique maximality determination. To further enhance maintenance efficiency, we introduce an approach HLPMCM using the hash-based maximality determination technique and an improved internal maximal η-clique enumeration technique. Extensive experiments show that HLPMCM can achieve 1.1x-19.0x speedup over the competitors and consumes slightly more memory. © 2025 Elsevier Inc.

关键词： Incremental maintenance Maximal clique Pivot enumeration Uncertain graph streams

来源：评论

学校读者我要写书评

暂无评论

Mamba vision models: Automated American sign language recognition

Franklin Open

引用

Franklin Open 2025年 10卷

作者： Altaher, Ali Salem Bang, Chiron Alsharif, Bader Altaher, Ahmed Alanazi, Munid Altaher, Hasan Zhuang, Hanqi Department of Electrical Engineering and Computer Science Florida Atlantic University 777 Glades Road Boca Raton 33431 FL United States College of Medicine Ibn Sina University of Medical and Pharmaceutical Science Baghdad Iraq Department of Computer Science and Engineering College of Telecommunication and Information Technical and Vocational Training Corporation Riyadh 12464 Saudi Arabia Electronic Computer Center Al-Nahrain University Jadriya Baghdad Iraq Business Informatics Department College of Business King Khalid University Abha Saudi Arabia Information and Communication Technology Department Baghdad Institute of Technology Middle Technical University Baghdad Iraq

Historically, individuals with hearing impairments have faced significant challenges in effective communication due to the lack of adequate resources. Recent technological advancements have spurred the development of innovative tools aimed at enhancing the quality of life for those with hearing disabilities. This research focuses on the application of Vision Mamba Models for classifying hand gestures representing the American Sign Language (ASL) alphabet, with a detailed comparative analysis of its performance against 13 deep learning architectures. The Vision Mamba Models, namely, Vision Mamba and Remote Sensing Mamba, were trained on a substantial dataset comprising 87,000 images of ASL hand gestures, and through iterative fine-tuning of their architectural parameters, the models’ accuracy and performance were optimized. Experimental results demonstrated that the Mamba Vision Models outperformed all other models previously examined in this context scoring exceptional accuracy rate that exceeded 99.98%, with less architectural complexity. These findings highlight the potential of deep learning technologies, particularly the Mamba vision models, in advancing assistive technologies, offering a sophisticated and highly accurate tool for interpreting ASL hand gestures and promising improved communication and accessibility for individuals with hearing impairments. © 2025 The Authors

关键词： American sign language Deep learning Remote sensing mamba Transfer learning Vision Mamba.

来源：评论

学校读者我要写书评

暂无评论

Toward wimax security

Toward wimax security

引用

2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

作者： Yang, Yi Li, Rui College of Computer Science and Technology Hubei Normal University Huangshi China Department of Computer Science and Technology Hunan Vocational Institute of Safety Technology Changsha China

ISBN: (纸本)9781424445073

The paper gives an overview of the security issue on WiMax, which is a new and hot research point for telecommunication and computer scientist. In the IEEE 802.11 technology, security was added later while IEEE 802.16 considered the security issues during the design of the protocol. However, security mechanism of the IEEE 802.16 still remains a question. WiMax is relatively a new technology and does not deployed widely to justify the evidence of threats, risk and vulnerability in real situations. This paper reflects to most recent work of the IEEE and WiMax forums and it can be used to prioritize future research directions in Wireless security. ©2009 IEEE.

关键词： IEEE Standards

来源：评论

学校读者我要写书评

暂无评论

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning

arXiv

引用

arXiv 2025年

作者： Liu, Yihao Cui, Zhihao Li, Liming You, Junjie Feng, Xinle Wang, Jianxin Wang, Xiangyu Liu, Qing Wu, Minghua Cancer Research Institute Central South University Changsha410083 China School of Physics & Electronic Science Changsha University of Science & Technology Hunan Changsha410114 China IFLYTEK Research Hefei Anhui230088 China School of Life Sciences Central South University Changsha410083 China Department of Radiology Xiangya Hospital Central South University Hunan Changsha410008 China School of Computer Science and Engineering Central South University Changsha410083 China Department of Neurosurgery Xiangya Hospital Central South University Hunan Changsha410008 China

Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely used for the preliminary screening of gliomas and plays a crucial role in auxiliary diagnosis, therapeutic efficacy, and prognostic evaluation. Currently, the computer-aided diagnostic studies of gliomas using MRI have focused on independent analysis events such as tumor segmentation, grading, and radiogenomic classification, without studying inter-dependencies among these events. In this study, we propose a Glioma Multimodal MRI Analysis System (GMMAS) that utilizes a deep learning network for processing multiple events simultaneously, leveraging their inter-dependencies through an uncertainty-based multitask learning architecture and synchronously outputting tumor region segmentation, glioma histological subtype, IDH mutation genotype, and 1p/19q chromosome disorder status. Compared with the reported single-task analysis models, GMMAS improves the precision across tumor layered diagnostic tasks. Additionally, we have employed a two-stage semi-supervised learning method, enhancing model performance by fully exploiting both labeled and unlabeled MRI samples. Further, by utilizing an adaptation module based on knowledge self-distillation and contrastive learning for cross-modal feature extraction, GMMAS exhibited robustness in situations of modality absence and revealed the differing significance of each MRI modal. Finally, based on the analysis outputs of the GMMAS, we created a visual and user-friendly platform for doctors and patients, introducing GMMAS-GPT to generate personalized prognosis evaluations and suggestions. Copyright © 2025, The Authors. All rights reserved.

关键词： Multi-task learning

来源：评论

学校读者我要写书评

暂无评论

Environment-Driven Online LiDAR-Camera Extrinsic Calibration

arXiv

引用

arXiv 2025年

作者： Huang, Zhiwei Li, Jiaqi Zhong, Ping Fan, Rui The Department of Control Science & Engineering The College of Electronics & Information Engineering Tongji University Shanghai201804 China The School of Computer Science and Engineering Central South University Hunan Changsha410083 China The National Key Laboratory of Science and Technology on Automatic Target Recognition National University of Defense Technology Hunan Changsha410073 China The Department of Control Science & Engineering The College of Electronics & Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems The State Key Laboratory of Intelligent Autonomous Systems Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai201804 China The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Shaanxi Xi’an710049 China

LiDAR-camera extrinsic calibration (LCEC) is the core for data fusion in computer vision. Existing methods typically rely on customized calibration targets or fixed scene types, lacking the flexibility to handle variations in sensor data and environmental contexts. This paper introduces EdO-LCEC, the first environment-driven, online calibration approach that achieves human-like adaptability. Inspired by the human perceptual system, EdO-LCEC incorporates a generalizable scene discriminator to actively interpret environmental conditions, creating multiple virtual cameras that capture detailed spatial and textural information. To overcome cross-modal feature matching challenges between LiDAR and camera, we propose dual-path correspondence matching (DPCM), which leverages both structural and textural consistency to achieve reliable 3D-2D correspondences. Our approach formulates the calibration process as a spatial-temporal joint optimization problem, utilizing global constraints from multiple views and scenes to improve accuracy, particularly in sparse or partially overlapping sensor views. Extensive experiments on real-world datasets demonstrate that EdO-LCEC achieves state-of-the-art performance, providing reliable and precise calibration across diverse, challenging environments. Copyright © 2025, The Authors. All rights reserved.

关键词： Spatio-temporal data

来源：评论

学校读者我要写书评

暂无评论

AI Digital Learning Adaptation Challenges and Issues in Current Higher Education Field 6th

AI Digital Learning Adaptation Challenges and Issues in Curr...

引用

6th International Conference on Smart Computing and Informatics, SCI 2024

作者： Polozhentseva, Irina Zhilkibaeva, Razilia Luzina, Tatiana Vijaya Kumar, Kollati Department of Pedagogy and Psychology of Vocational Education K.G. Razumovsky Moscow State University of Technologies and Management (the First Cossack University) Moscow Russian Federation Department of General and Russian History of Elabuga Institute Kazan Federal University Kazan Russian Federation Department of Customs University of Tyumen Tyumen Russian Federation Department of Computer Science Engineering GITAM School of Technology Gitam University Hyderabad India

ISBN: (纸本)9789819619801

Across the board, artificial intelligence is having a big impact on the marketplace, especially in higher education. Through the process of a thorough analysis of the literature, the current research concentrated on the growing roles that artificial intelligence is playing in higher education. Information was acquired by means of a methodical examination of academic publications on artificial intelligence that were disseminated in universities. One of the major industries that has seen revolutionary transformation recently is education on a global scale. This is mostly due to the global digital revolution that is occurring. In the past, the standard Indian classroom consisted of students sitting through an hour-long lesson during which the teacher discussed the material without using any visual aids. Presently, learners as well as educators have an easier time of it because of digital technology. With its novel audio–video feature, digital education is especially useful for children, as it enhances their cognitive abilities, making learning enjoyable for all levels of learners. Schools are attempting to create a more inclusive and interactive learning environment in the classroom by implementing digital teaching solutions more frequently. Over the past few years, there has been a noticeable increase of online live as well as virtual classrooms in India at various learning levels. There is a lot of room for technological integration with the education sector as a result of the development of technologies like virtualization, cloud computing, and virtual data centers. This study aims to provide a summary of digital education, its constituent parts, its advantages in India, its potential future applications, and any obstacles that an Indian society may face in its transition to digital education. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Artificial intelligence Digital education Digital technology

来源：评论

学校读者我要写书评

暂无评论

Exploring the potentiality of future standard candles and standard sirens to detect cosmic opacity

引用

Chinese Physics C 2021年第6期45卷 209-219页

作者： Xiangyun Fu Lu Zhou Jianfei Yang Zhen-Yan Lu Ying Yang Guo Tang Institute of Physics Hunan University of Science and TechnologyXiangtan 411201China Aumanities Quality Teaching Department Hunan Software Vocational InstituteXiangtan 411100China

In this work,we explore the potentiality of future gravitational wave(GW)and Type la supermovae(SNe la)measurements to detect cosmic opacity by comparing the opacity-free luminosity distance(LD)of GW events with the opacity-dependent LD of SNe la *** GW data are simulated from the future measurements of the ground-based Einstein Telescope(ET)and the space-borne Deci-Herz Interferometer Gravitational wave Obser-vatory(DECIGO).The SNe la data are simulated from the observations of the Wide Field Infrared Survey Tele-scope(WFIRST)that will be collected over the next few decades.A binning method is adopted to match the GW data with the SNe la data at the same redshift z with a sclection criterion|△z|<0.005,and most of the available data from the GW measurements is employed to detect cosmic opacity due to improvements in the distribution of the fu-ture SNe la *** show that the uncertainties of the constraints on cosmic opacity can be reduced toσe~0.0041 and 0.0014 at the lσconfidence level(CL)for 1000 data points from the ET and DECIGO measure-ments,*** with the allowable limits of intergalactic opacity obtained from quasar continum ob-servations,these future astronomical observations can be used to verify the cosmic *** this way,GW and SNe la measurements can be used as important and effective tools to detect cosmic opacity in the future.

关键词： cosmic opacity gravitational wave Type la supemovae

来源：评论

学校读者我要写书评

暂无评论

Research on dynamic optimization method of embedded multi-core performance based on runtime

引用

Recent Patents on Engineering 2021年第3期15卷 356-365页

作者： Huang, Ying Fang, Xiaoyong Zeng, Yihuang Huang, Zhixin Guo, Hongtao Computer and Information Science Department Hunan Institute of Technology Hengyang China Safety and Environment Engineering Department Hunan Institute of Technology Hengyang China Electric and Information Engineering Department University of South China Hengyang China

Embedded multi-core systems often show special limitations in sharing resources and storage capacity, which will lead to the reduction of parallel efficiency due to bandwidth, data competition and other factors. In this paper, a run-time optimization framework is proposed to dynamically and adaptively adjust parallel strategies according to the structure of different parallel pro-grams. On the one hand, the performance analysis model of a parallel program structure is established to get the number of threads during the best performance. On the other hand, in view of the load imbalance in parallel thread execution, an adaptive dynamic scheduling algorithm is proposed to dynamically select the size of the scheduling block. Experimental results show that the proposed dynamic scheduling strategy can improve program performance and achieve improvement of the performance of the embedded multi-core system. Background: Embedded multi-core systems often have special limitations in sharing resources and storage capacity. These limitations often lead to parallel programs running with lower parallel efficiency due to bandwidth, data competition and other factors. Objective: In order to improve the performance of embedded multi-core systems, parallel strategies can be adjusted dynamically and adaptively for different parallel program structures. Methods: A control mechanism of the thread count based on runtime information feedback is pro-posed, which enables the system to dynamically select the number of threads when the program runs best according to the structure characteristics of parallel programs. Then, an adaptive dynamic scheduling algorithm is proposed to solve the load imbalance in parallel program execution. Results: An optimization framework based on run-time architecture is presented, which consists of two parts: performance monitoring and control interface. It can take corresponding optimization strategies according to the running state of parallel programs. Conclus

关键词： Bandwidth

来源：评论

学校读者我要写书评

暂无评论

Fingerprint singular points extraction based on orientation tensor field and Laurent series

引用

Journal of Central South University 2014年第5期21卷 1927-1934页

作者：刘琴彭可刘巍谢琴李仲阳兰浩金耀 College of Engineering and Design Hunan Normal University Department of Computer Science Florida Institute of Technology

Singular point(SP)extraction is a key component in automatic fingerprint identification system(AFIS).A new method was proposed for fingerprint singular points extraction,based on orientation tensor field and Laurent ***,fingerprint orientation flow field was obtained,using the gradient of fingerprint *** these gradients,fingerprint orientation tensor field was ***,candidate SPs were detected by the cross-correlation energy in multi-scale Gaussian *** energy was calculated between fingerprint orientation tensor field and Laurent polynomial *** a global descriptor,the Laurent polynomial coefficients were allowed for rotational ***,a support vector machine(SVM)classifier was trained to remove spurious SPs,using cross-correlation coefficient as a feature ***,experiments were performed on Singular Point Detection Competition 2010(SPD2010)*** to the winner algorithm of SPD2010 which has best accuracy of 31.90%,the accuracy of proposed algorithm is 45.34%.The results show that the proposed method outperforms the state-of-the-art detection algorithms by large margin,and the detection is invariant to rotational transformations.

关键词： fingerprint extraction singular point fingerprint orientation tensor field Laurent series rotational invariance supportvector machine （SVM）

来源：评论

学校读者我要写书评

暂无评论

HIGH ACCURACY ANALYSIS OF TENSOR-PRODUCT LINEAR PENTAHEDRAL FINITE ELEMENTS FOR VARIABLE COEFFICIENT ELLIPTIC EQUATIONS

引用

Journal of Systems science & Complexity 2012年第2期25卷 410-416页

作者： Jinghong LIU Yijun DENG Qiding ZHU Ningbo Institute of Technology Zhejiang University Department of Mathematics Hunan International Economics College College of Mathematics and Computer Science Hunan Normal University

For a general second-order variable coefficient elliptic boundary value problem in three dimensions, the authors derive the weak estimate of the first type for tensor-product linear pentahedral finite elements. In addition, the estimate for the W1,1-seminorm of the discrete derivative Green＇s function is given. Finally, the authors show that the derivatives of the finite element solution uh and the corresponding interpolant Hu are superclose in the pointwise sense of the L∞-norm.

关键词： Discrete derivative Green＇s function superconvergence tensor-product linear pentahedralfinite elements variable coefficient elliptic problem.

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：