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

756 篇 会议
2 篇 期刊文献
1 册 图书

馆藏范围

759 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

655 篇 工学
- 535 篇 计算机科学与技术...
- 466 篇 软件工程
- 246 篇 信息与通信工程
- 147 篇 生物工程
- 114 篇 光学工程
- 92 篇 电气工程
- 92 篇 控制科学与工程
- 91 篇 电子科学与技术（可...
- 76 篇 生物医学工程（可授...
- 54 篇 化学工程与技术
- 39 篇 机械工程
- 34 篇 仪器科学与技术
- 34 篇 材料科学与工程（可...
- 30 篇 安全科学与工程
- 27 篇 动力工程及工程热...
- 25 篇 交通运输工程
- 24 篇 土木工程
438 篇 理学
- 203 篇 数学
- 159 篇 物理学
- 152 篇 生物学
- 71 篇 统计学（可授理学、...
- 66 篇 化学
- 34 篇 系统科学
199 篇 管理学
- 123 篇 图书情报与档案管...
- 98 篇 管理科学与工程(可...
- 39 篇 工商管理
52 篇 医学
- 49 篇 基础医学(可授医学...
- 49 篇 临床医学
- 36 篇 药学(可授医学、理...
29 篇 法学
- 26 篇 社会学
15 篇 经济学
15 篇 农学
14 篇 教育学
2 篇 军事学

主题

23 篇 deep learning
19 篇 machine learning
16 篇 support vector m...
15 篇 feature extracti...
14 篇 computer vision
11 篇 convolution
11 篇 natural language...
11 篇 sentiment analys...
10 篇 internet of thin...
10 篇 object detection
10 篇 big data
10 篇 semantics
10 篇 convolutional ne...
9 篇 natural language...
7 篇 signal processin...
7 篇 visualization
6 篇 signal detection
6 篇 deep neural netw...
6 篇 graphics process...
6 篇 neural networks

机构

7 篇 key laboratory o...
7 篇 school of inform...
6 篇 school of comput...
6 篇 xinjiang key lab...
6 篇 school of inform...
6 篇 xinjiang key lab...
6 篇 key laboratory o...
4 篇 nss college of e...
4 篇 school of comput...
4 篇 college of infor...
4 篇 school of contro...
3 篇 school of comput...
3 篇 department of co...
3 篇 college of compu...
3 篇 college of intel...
3 篇 guangdong polyte...
3 篇 school of comput...
3 篇 school of comput...
3 篇 academy for engi...
2 篇 hefei university...

作者

10 篇 hamdulla askar
6 篇 ablimit mijit
5 篇 gao yanxia
5 篇 liu yiwen
4 篇 shi yuanquan
4 篇 xiao jianhua
3 篇 faisal rehman
3 篇 wang chao
3 篇 xiao hongbo
3 篇 sharif hanan
3 篇 peng xiaoning
3 篇 rehman faisal
3 篇 chen xi
3 篇 mala c.
3 篇 shi zhen-gang
3 篇 li chao
3 篇 jiang huiming
3 篇 yuan jing
3 篇 li jing
3 篇 zhao qian

语言

752 篇 英文
7 篇 其他
1 篇 中文

检索条件"任意字段=2022 3rd International Conference on Signal Processing and Computer Science, SPCS 2022"

共 759 条记录，以下是61-70 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：

Lightweight detection method based on improved YOLOv4 3

Lightweight detection method based on improved YOLOv4

引用

3rd international conference on computer Vision, Image and Deep Learning and international conference on computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Ruan, WenLong Liu, Yunqing Changchun University of Technology Electronic Science and Technology Changchun City China

ISBN: (纸本)9781665459112

In view of the large amount of model parameters and large amount of calculation when YOLOv4 target detection model is applied to unmanned vehicles, it is difficult to be applied to embedded platform or mobile terminal. In this paper, an improved YOLOv4 model was proposed, which used the MobileNetv1 as the backbone network of YOLOv4. The depth separable convolution was used to replace the ordinary convolution in the enhanced feature extraction network structure PANET of YOLOv4. By introducing the ECA attention mechanism and using DIOU_NMS post-processing strategy, the detection accuracy of the model was improved. The improved YOLOv4 model was tested on the PASCAL VOC data set. The results showed that the number of parameters was one-fifth of the original, the model size was reduced by 193M, the mAP was reduced by 0.56%, and the fps was increased by 20.4. It can meet the requirements of real-time detection of unmanned vehicles. © 2022 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Image Radiation Compensation Method Based on Two-dimensional Attention Module 3

Image Radiation Compensation Method Based on Two-dimensional...

引用

3rd international conference on computer Vision, Image and Deep Learning and international conference on computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Zhang, Tianyu Zhang, Chao Han, Cheng Yang, Yihan Changchun University of Science and Technology College of Computer Science and Technology Changchun China

ISBN: (纸本)9781665459112

With the diversification of projection scene requirements and the continuous development of projection technology, various scenes containing color textures are used as projection surfaces in daily life. These projection surfaces lead to color distortion of projection image affected by color texture and affect projection effect. The radiation compensation of the projector is to counteract the impact of the textured surface on the projected image by processing the input image of the projector. Aiming at this problem, this paper proposes a color compensation network model for projected images based on a two-dimensional attention module. The model uses a convolutional neural network to learn a complex mapping between the projector input image and the image captured by the camera. An attention module is added to the feature extraction network to generate attention map refinement adaptive features. Finally, a combination of loss functions is set for the specific task of color compensation for network optimization. The experimental results show that the method proposed in this paper effectively solves the problem of color distortion of projected images caused by colored textured surfaces and improves the quality of the projection. © 2022 IEEE.

关键词： Textures

来源：评论

学校读者我要写书评

暂无评论

A PPG-based biometric system using fuzzy min-max model 3

A PPG-based biometric system using fuzzy min-max model

引用

3rd international conference on computer Vision and Data Mining, ICCVDM 2022

作者： Zhang, Yuze Zhang, Yaqi Zhang, Honghao School of Computer Science and Engineering Tianjin University of Technology Tianjin300384 China School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510661363

Biometric methods have been widely used for privacy protection. Biometric recognition has unique and random characteristics, which can better protect people's privacy and security. In this paper, a biometric system based on plethysmography (PPG) signals using fuzzy min-max neural network are developed. The PPG signals have the ability of liveness detection compared with fingerprint recognition and face recognition. The system consists of three processes: signal preprocessing, feature extraction and model classification. The experimental results were obtained an accuracy of 97.62% in the Capnobase database. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Analysis and Comparison of Various Contrast Enhancement Techniques 3

Analysis and Comparison of Various Contrast Enhancement Tech...

引用

3rd international conference on Computing, Analytics and Networks, ICAN 2022

作者： Singh, Jagdeep Kaur, Navjot Singh, Rakesh Punjabi University Department of Computer Science and Engineering Patiala India

ISBN: (纸本)9781665499446

Contrast enhancement assumes an important part in image processing which makes an image more clear and bright. It essentially improves the image quality which makes the image's content easy to recognize. In this paper the analysis of four popular contrast enhancement techniques have been done to overcome the brightness and preservation issues and also keeps up the quality of the image. These four techniques are Histogram Equalization (HE), Brightness Preserving Bi- Histogram Equalization (BBHE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and Recursive Mean-Separate Histogram Equalization (RMSHE). Additionally the work also shows the estimation of various parameters like: signal to noise ratio (SNR), Mean square error (MSE), Root mean square error (RMSE), Mean absolute error (MAE), Peak signal to noise ratio (PSNR), and Structure similarity index (SSIM) for each technique. © 2022 IEEE.

关键词： Luminance

来源：评论

学校读者我要写书评

暂无评论

Integrated Circuit Wafer Detection Based on Intelligent Information processing 3

Integrated Circuit Wafer Detection Based on Intelligent Info...

引用

3rd IEEE international conference on computer Systems, ICCS 2023

作者： Liu, Qing Zhao, Limin Hou, Zhe Hao, Jing Li, Xiangbing Zhao, Yuxiang Yang, Jinfang Zhang, Jinbing Tianshui Normal University School of Electronic Information & Electrical Engineering Tianshui741001 China Ministry of Education Engineering Research Center of Integrated Circuit Packaging and Testing Tianshui741001 China Tianshui Huatian Technology Co. Ltd Tianshui741001 China

ISBN: (纸本)9798350313666

In order to effectively detect the defects of wafer in IC production and improve its utilization rate, a wafer image detection method based on intelligent information processing is proposed. Firstly, the images with defects such as contamination, ink dot, crack, single crystal collapse and scratch are preprocessed by median filter. Secondly, mutual information is used as a measure to complete the registration of reference image and defect image. Thirdly, the generalized Hough transform is used to detect the defects based on the difference operation of the registration image. Finally, Outs algorithm is used to improve image defect extraction and achieve better segmentation effect. The experimental results show that the proposed algorithm has good image preprocessing ability for wafer image, and effective extraction, segmentation and detection effect for defect target image. © 2023 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

A Network Security Situational Awareness Model Based on Multi-Source Heterogeneous Sensors 3

A Network Security Situational Awareness Model Based on Mult...

引用

3rd international conference on Machine Learning and computer Application, ICMLCA 2022

作者： Tan, Xiaobo Zhang, Guangjie College of Information Science and Engineering Ligong University Liaoning Shenyang China Department of Computer Science and Technology Shenyang Ligong University Liaoning Shenyang China

ISBN: (纸本)9781510664814

In the research of network security situational awareness, an important problem that needs to be solved urgently is that in the face of a large number of noisy multi-source data, the accuracy of obtaining network security situational awareness indicators will be affected. This paper proposes a data fusion processing method based on deep neural network to solve the above problems, which first uses natural language processing technology to process high-noise data in the data, and does a good job of word reduction of the data through the WordNetLemmatizer module. The TF-IDF feature extraction algorithm is applied to extract features through the frequency of data occurrence and the weight of the data. The experimental results show that the accuracy of obtaining network security situational awareness indicators by using the data fusion method based on deep neural network reaches more than 85% compared with the data fusion methods of other machine learning algorithms, and can be applied to the network security situational awareness model. © 2023 SPIE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Human Gait Recognition Algorithm Based on MobileNetV1 with Attention Mechanism 3

Human Gait Recognition Algorithm Based on MobileNetV1 with A...

引用

3rd international conference on Artificial Intelligence and computer Engineering, ICAICE 2022

作者： Zhang, Jinsha Zhang, Xuedong School of Computer and Software Engineering University of Science and Technology Liaoning Anshan114051 China School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China

ISBN: (纸本)9781510663473

For embedded modern equipment, the current gait recognition algorithm model is difficult to deploy on it due to a large amount of gait frame image data, slow network processing speed, complex structure and low computational efficiency. In this paper, a lightweight convolutional network model integrating the attention mechanism is proposed. The algorithm first performs morphological processing on the image, extracts the gait contour image, and calculates the gait energy image;Integrates the attention mechanism with MobileNetV1;The feature information of the image is effectively extracted, and the parameters of the network are reduced. A number of body method validation experiments are conducted in the CAISIAB gait database of the Chinese Academy of sciences, and the experimental results are significantly improved with other deep learning models. © 2023 SPIE.

关键词： Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Research on Chinese word sense disambigution based on Prompt learning 3

Research on Chinese word sense disambigution based on Prompt...

引用

3rd international conference on computer science and Management Technology, ICCSMT 2022

作者： Gan, Ling Du, Xinrui Chongqing University of Posts and Telecommunications School of Computer Science and Technology Chongqing400065 China

ISBN: (纸本)9798350320404

Word sense disambiguation is an important research topic in natural language processing. Its purpose is to determine the word meaning of a polysemous word in different contexts. In order to improve the efficiency of disambiguation, a Chinese word sense disambiguation model PL-WSD based on prompt learning is proposed. The model uses the knowledge base HowNet to obtain the representation of each word meaning in polysemous words, uses the way of prompt learning to calculate the similarity score of each word meaning in a specific context, and obtains the word meaning with the highest score as the final result of polysemous words. Experiments show that PL-WSD model is greatly improved compared with other models. © 2022 IEEE.

关键词： Knowledge based systems

来源：评论

学校读者我要写书评

暂无评论

Correlation Discriminator of signals in the Class of Fast Neural Networks 3

Correlation Discriminator of Signals in the Class of Fast Ne...

引用

3rd international conference on Neural Networks and Neurotechnologies, NeuroNT 2022

作者： Dorogov, Alexander Yu. Saint Petersburg Electrotechnical University "leti" Faculty of Computer Science and Technology Saint Petersburg Russia

ISBN: (纸本)9781665467766

The paper presents methods for constructing topology and parametric training of fast neural networks (FNN) for tasks of signal correlation measurements. A mathematical model of the FNN is described. The connection of fast algorithms with self-similar structures is noted. A method of multiplicative representation of arbitrary discrete functions is shown. Algorithms for constructing the FNN topology and training for implementing a correlation discriminator of signals are proposed. © 2022 IEEE.

关键词： Discriminators

来源：评论

学校读者我要写书评

暂无评论

Research on the segmentation of pension market based on K-means clustering algorithm 3

Research on the segmentation of pension market based on K-me...

引用

3rd international conference on computer science and Management Technology, ICCSMT 2022

作者： Wei, Xinyu Li, Xufang Shanghai University of Engineering Science School of Management Shanghai China

ISBN: (纸本)9798350320404

With the acceleration of the aging process and the extension of life expectancy, the community is increasingly concerned about the pension problem. In order to better serve the needs of the elderly, accurately match the right pension mode, help pension industry in China to achieve more accurate marketing, improve customer recognition and core competitiveness, this article through the questionnaire survey to collect the elderly data, the K-means clustering algorithm for data processing and analysis, and according to the clustering results of endowment group classification in detail. The study found that it was most appropriate to cluster the sample data into four categories, and put forward suggestions according to the characteristics of the four groups of people. © 2022 IEEE.

关键词： K-means clustering

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76页 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：