检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,171 篇 会议
1,830 篇 期刊文献
15 册 图书

馆藏范围

4,016 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,697 篇 工学
- 1,938 篇 计算机科学与技术...
- 1,559 篇 软件工程
- 710 篇 信息与通信工程
- 352 篇 电气工程
- 285 篇 电子科学与技术（可...
- 283 篇 生物工程
- 279 篇 控制科学与工程
- 166 篇 机械工程
- 158 篇 光学工程
- 141 篇 生物医学工程（可授...
- 129 篇 仪器科学与技术
- 107 篇 网络空间安全
- 105 篇 动力工程及工程热...
- 100 篇 化学工程与技术
- 93 篇 交通运输工程
- 70 篇 安全科学与工程
- 66 篇 土木工程
1,257 篇 理学
- 649 篇 数学
- 324 篇 物理学
- 303 篇 生物学
- 182 篇 统计学（可授理学、...
- 111 篇 系统科学
- 104 篇 化学
752 篇 管理学
- 454 篇 管理科学与工程(可...
- 311 篇 图书情报与档案管...
- 180 篇 工商管理
144 篇 医学
- 111 篇 临床医学
- 91 篇 基础医学(可授医学...
121 篇 法学
- 85 篇 社会学
74 篇 经济学
- 74 篇 应用经济学
30 篇 农学
28 篇 教育学
21 篇 军事学
16 篇 文学
9 篇 艺术学

主题

95 篇 semantics
94 篇 feature extracti...
79 篇 deep learning
74 篇 accuracy
72 篇 computational mo...
67 篇 training
63 篇 security
56 篇 machine learning
50 篇 protocols
49 篇 cloud computing
49 篇 cryptography
48 篇 computer science
47 篇 authentication
45 篇 predictive model...
44 篇 blockchain
44 篇 data models
43 篇 privacy
42 篇 optimization
42 篇 computer network...
41 篇 federated learni...

机构

171 篇 school of comput...
79 篇 school of comput...
68 篇 school of comput...
65 篇 key laboratory o...
62 篇 school of cyber ...
62 篇 hubei key labora...
61 篇 jiangsu engineer...
57 篇 school of comput...
50 篇 national compute...
48 篇 national compute...
45 篇 school of comput...
43 篇 computer network...
42 篇 key laboratory o...
38 篇 school of comput...
36 篇 school of comput...
32 篇 beijing key labo...
31 篇 national enginee...
31 篇 school of comput...
30 篇 school of comput...
30 篇 beijing key labo...

作者

62 篇 du bo
35 篇 tao dacheng
29 篇 zhou deyu
27 篇 liu zhi
27 篇 wang jin
25 篇 sun xingming
24 篇 yang yang
23 篇 zhang min-ling
22 篇 lianzhong liu
22 篇 min-ling zhang
22 篇 yichuan wang
21 篇 konstantinou s.
21 篇 xinhong hei
21 篇 guang cheng
21 篇 xia chunhe
21 篇 zhao yao
20 篇 lethuillier m.
20 篇 pauls a.
20 篇 lehti s.
20 篇 waltenberger w.

语言

3,701 篇 英文
209 篇 其他
107 篇 中文
2 篇 日文
1 篇 德文

检索条件"机构=School of Computer Science and Network Engineering"

共 4016 条记录，以下是151-160 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Adaptive Compression-Encryption Scheme for Medical Image Based on Improved Compressive Sensing and Deoxyribonucleic Acid Coding-Compression

Adaptive Compression-Encryption Scheme for Medical Image Bas...

引用

2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Xue, Xianglian Jin, Haiyan Zhou, Changjun Xi'an University of Technology School of Computer Science and Engineering Xi'an China Shaanxi University of Chinese Medicine Section of Computer Teaching and Research Xianyang China Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an China Zhejiang Normal University School of Computer Science and Technology Jinhua China

ISBN: (纸本)9798350386226

Medical images often occupy large storage space and contain patient privacy or sensitive information, which makes them difficult and unsafe to be transmitted through the network. This paper proposed an adaptive compression-encryption scheme based on improved compressive sensing (CS) and deoxyribonucleic acid (DNA) coding-compression, which helps to solve the above problem. In the proposed scheme, first the original medical image was compressed to a floating point CS matrix using the discrete wavelet transform and the partial Hadamard matrix. The CS matrix was then normalized and rounded for matrix quantification. The result of quantification was fed to DNA fixed encoding and DNA run length coding for encryption and secondary compression. Finally the compressed-encrypted image was obtained after DNA dynamic encoding-decoding and regroups operation. The proposed scheme was tested against 9 images and proved to be effective in reducing the quantization errors and enhancing the compression performance. For instance, when the benchmark compression ratio (CR) is 0.5, the CR can be reduced by 5%(CR = 0.4453) ∼ 23%(CR = 0.2636), with the corresponding peak signal-to-noise ratio values consistently surpassing the benchmark. Furthermore, the execution of DNA compression and DNA dynamic encoding-decoding provided double guarantee for the algorithm's security. © 2024 IEEE.

关键词： Encoding (symbols)

来源：评论

学校读者我要写书评

暂无评论

AN EFFICIENT AND INTERPRETABLE SPEECH ENHANCEMENT network VIA DEEP DICTIONARY LEARNING 49

AN EFFICIENT AND INTERPRETABLE SPEECH ENHANCEMENT NETWORK VI...

引用

2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024

作者： Xu, Xinmeng Zhang, Yiqun Tu, Weiping Yang, Yuhong NERCMS School of Computer Science Wuhan University China Hubei Luojia Laboratory China Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China

ISBN: (纸本)9798350344851

Speech enhancement is a vital and highly ill-posed problem for many speech downstream tasks. While currently existing deep learning based speech enhancement methods have held state-of-the-art results, they still possess apparent shortcomings in that most of the deep learning based models lack interpretability. This deficiency results in unsatisfied speech enhancement performance in many sophisticated scenarios. To tackle this problem, we integrate dictionary learning and sparse coding into deep learning networks for speech enhancement and present a deep dictionary learning based speech enhancement network (DicLSENet). Specifically, the proposed DicLSENet strictly follows the principle of dictionary learning, learns the priors for both representation coefficients and dictionaries, and adaptively adjusts the dictionary for each input. Experimental results show that the proposed model outperforms state-of-the-art fully deep learning based methods with attractive computational costs. © 2024 IEEE.

关键词： dictionary learning sparse coding Speech enhancement

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Perturbed Secret Sharing Federated Learning Framework 6

A Hybrid Perturbed Secret Sharing Federated Learning Framewo...

引用

6th International Conference on Next Generation Data-Driven networks, NGDN 2024

作者： Feng, Yinglin Chen, Shuhong Cheng, Zhaoyi Su, Weifeng Wang, Tian Guangzhou University School of Computer Science and Network Engineering Guangzhou China Beijing Normal University BNU-UIC Institute of Artificial Intelligence and Future Networks Beijing China

ISBN: (纸本)9798350388374

In recent years, the problem of privacy leakage in federated learning has received much attention. To address this issue, researchers have applied privacy preserving techniques to federated learning. However, differential privacy adding too much noise can affect the generalization of the model and the availability of data. Secret sharing may also lead to data leakage if attacked. In order to tackle the problems of excessive noise and data security, this paper proposes a hybrid perturbation secret sharing federated learning framework (HPS-FL). It optimizes local difference privacy based on mean statistics and mitigates the effect of excessive noise by changing the perturbation boundary and reducing the variance. It also introduces secret sharing technology, which further increases the security of parameter transmission by adding a mask before secret sharing. Experimental results on the MINIST dataset demonstrate that HPS-FL outperforms other methods in terms of model accuracy, providing reliable support for privacy preserving. © 2024 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Enriching molecular graph representation via substructure learning

Enriching molecular graph representation via substructure le...

引用

2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Wang, HongHao Zhang, Acong Li, Ping Southwest Petroleum University School of Computer Science and Software Engineering Chengdu China China Mobile Jiangxi Co. Ltd. Network Department Ganzhou China

ISBN: (纸本)9798350386226

Continuous molecular graph representations are highly useful for effective molecule property predictions. However, learning graph-specific structure information remains challenging. Current graph neural network models typically aggregate all node embeddings of a graph into a single vector, which, while being an efficient compressor, may not capture the high-level function-related substructure information, e.g., motifs. Moreover, the nodes that are loosely relevant to the graph representation may lead to the sub-optimal representation learning. Towards these limitations, in this paper we propose a new approach to enrich molecular graph representation, where the most relevant motif are selected to represent the graph at a high level and the key-node spanned subgraph is constructed to filter out irrelevant nodes. By comparing to recently proposed unimodal graph neural network models and multi-modal methods, we show that our method achieves state-of-the-art performance on molecular property prediction task. © 2024 IEEE.

关键词： Molecular docking

来源：评论

学校读者我要写书评

暂无评论

Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency

Semi-supervised Medical Image Segmentation via Feature-pertu...

引用

2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Yang, Yang Wang, Ruixuan Zhang, Tong Su, Jingyong Harbin Institute of Technology School of Computer Science and Technology Shenzhen China Peng Cheng Laboratory Department of Network Intelligence Shenzhen China Sun Yat-sen University School of Computer Science and Engineering Guangzhou China

ISBN: (纸本)9798350337488

Although deep convolutional neural networks have achieved satisfactory performance in many medical image segmentation tasks, a considerable annotation challenge still needs to be solved, which is expensive and time-consuming for radiologists. Most existing popular semi-supervised methods mainly impose data-level perturbations (e.g., rotation, noising) or feature-level perturbations (e.g., MC dropout) on unlabeled data. In this paper, we propose a novel semi-supervised segmentation strategy with meaningful perturbations at the feature level to leverage abundant useful information naturally embedded in the unlabeled data. Specifically, we develop a dual-task network where the segmentation head produces multiple predictions with a perturbation module, and the reconstruction head further utilizes the semantic information to enhance segmentation performance. The proposed framework subtly perturbs the network at the feature-level to generate predictions which should be similar and consistent. However, enforcing them roughly to be consistent at all pixels harms stable training and neglects much delicate information. To better utilize those predictions and estimate the uncertainty, we further propose feature-perturbed consistency to exploit reliable regions for our framework to learn from. Extensive experiments on the public BraTS2020 dataset and the 2017 ACDC dataset confirm the efficiency and effectiveness of our method. In particular, the proposed method demonstrates remarkable superiority in the segmentation of boundary regions. The project is available at https://***/youngyzzZ/SFPC. © 2023 IEEE.

关键词： Image segmentation Semi-supervised learning Uncertainty estimation

来源：评论

学校读者我要写书评

暂无评论

A Pseudonym Exchange-Based Traceable Location Privacy Protection Scheme for IoV

A Pseudonym Exchange-Based Traceable Location Privacy Protec...

引用

2023 International Conference on networking and network Applications, NaNA 2023

作者： Ma, Weigang Yu, Yaping Wang, Yichuan Liu, Xiaoxue Wang, Zhoukai School of Computer Science and Engineering Xi'an University of Technology Xi'an China Shaanxi Key Laboratory for Network Computing and Security Technology China

ISBN: (纸本)9798350327380

Internet of Vehicles (IoV) is a network built by communicating entities such as vehicles and roadside infrastructure, etc. The entities can communicate with each other, sharing data and providing services. However, the openness and interoperability (location services) of IoV makes the communication entity vulnerable to attacks. when the vehicle requests location services, it will expose its own location information, which will cause serious personal safety problems. To address the location privacy leakage problem in the IoV, this paper proposes a pseudonym exchange-based traceable location privacy protection scheme for IoV. Our scheme not only provides location privacy protection, but has the following properties: First, the whole pseudonym exchange process does not require trusted third-party participation;Second, each vehicle performs a series of hash operations on several dynamic anonyms and obtains a corresponding fixed-length hash value as the corresponding account in order to cut off the connection between the real identity, which is different in each run. If a vehicle is compromised and utilized to launch attack, the trusted center (CA) can also recover his/her real identity;Last, the experimental results show that the pseudonym exchange process and pseudonym update process cost less time compared to relevant literature. Hence, these features make our scheme very suitable for computation-limited mobile devices compared with other related existing schemes. © 2023 IEEE.

关键词： Vehicles

来源：评论

学校读者我要写书评

暂无评论

A Novel On-Demand Service Architecture for Efficient Cloud-Edge Collaboration

A Novel On-Demand Service Architecture for Efficient Cloud-E...

引用

2023 International Conference on networking and network Applications, NaNA 2023

作者： Zhang, Yaling Chen, Jingjing Wang, Yichuan Xiao, Yeqiu Liu, Xiaoxue School of Computer Science and Engineering Xi'an University of Technology Xi'an China Shaanxi Key Laboratory for Network Computing and Security Technology China

ISBN: (纸本)9798350327380

With the advent of 5G era, the model of cloud-edge collaboration is used to handle massive data computing tasks with significant superiority. However, this architecture still uses the traditional web service model, which has problems such as single service and low resource utilization during the interaction between users and remote web servers. In this paper, we propose a novel on-demand service architecture that changes the traditional inefficient network service approach and skews the entire network service to the user. By fine- grained division of users' demands and hosting them in the corresponding functional servers for processing, the resolution of users' demands is no longer restricted by the services provided by the server, thus realizing 'information to people and services on demand'. Experiments show that the new on- demand service architecture reduces the latency by 33.3%, improves the quality and efficiency of information services, and realizes a more proactive and flexible information service model, which is more suitable for users' needs. © 2023 IEEE.

关键词： Information services

来源：评论

学校读者我要写书评

暂无评论

引用

6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023

作者： Yao, Junhao Lai, Guoming Wang, Huabin Chung, Kwok L. Huang, Sibo Chen, Jun School of Computer Science and Engineering Huizhou University Huizhou516007 China Huizhou University Network and Information Center Huizhou516007 China

ISBN: (纸本)9798350399059

In recent years, due to the increasing frequency of global cyber-attacks, the importance of cybersecurity has also increased. The popularization of security science in the entire cyberspace has become a key issue in China. In order to improve the public awareness and quality of cybersecurity, the related departments have introduced a series of relevant laws and measures, actively carrying out cybersecurity science popularization work. This paper explores the current situation of cybersecurity science popularization in China and propose corresponding suggestions. © 2023 IEEE.

关键词： network security

来源：评论

学校读者我要写书评

暂无评论

An Improved DVB-S2 Phase Coarse Synchronization Algorithm and Its FPGA Implementation 8

An Improved DVB-S2 Phase Coarse Synchronization Algorithm an...

引用

8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Zhang, Xianyu Zhang, Jing Huang, Zixuan Hefei University of Technology School of Computer Science and Information Engineering Hefei China Institude of Space Integrated Ground Network Hefei China

ISBN: (纸本)9798350302455

This paper proposes an improved phase coarse synchronization algorithm, which can be applied to the DVB-S2 system. The improved algorithm can handle the uncorrected residual frequency offset from the frequency synchronization module. Compared with the original algorithm, the residual frequency offset is nearly doubled threshold, and reduces the complexity of FPGA implementation and saves hardware resource overhead. The scheme is implemented on Xilinx Virtex-7 VC709 field programmable gate array, and simulation verifies that the scheme can achieve bit error performance below 10-7 within the supported residual frequency offset range. © 2023 IEEE.

关键词： Frequency allocation

来源：评论

学校读者我要写书评

暂无评论

DDoS Attack Detection Based on Information Entropy Feature Extraction in Software Defined networks

DDoS Attack Detection Based on Information Entropy Feature E...

引用

2023 International Conference on networking and network Applications, NaNA 2023

作者： Ji, Wenjiang Yang, Yixin Zhang, Yaling Wang, Yichuan Tian, Mengjie Qiu, Yuan Xi'an University of Technology School of Computer Science and Engineering Xi'an China Shaanxi Key Laboratory for Network Computing and Security Technology China

ISBN: (纸本)9798350327380

Distributed Denial of Service(DDoS) attacks target the forwarding-control separation feature of Software-Defined networking(SDN) to launch attacks, causing network disruptions. Therefore security against DDoS attack detection for SDN controllers is the focus of current research. This paper proposes an Extreme Gradient Boosting (XGBoost) DDoS attack detection algorithm based on a combination of information gain and recursive feature elimination algorithms. We evaluated the performance of the method using the CICDDoS2019 dataset. This method works well in multi-classification model for attack detection with an accuracy of 93.41%. © 2023 IEEE.

关键词： Software defined networking

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共402页 << < 12 13 14 15 16 17 18 19 20 21 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：