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

4,115 篇 会议
63 册 图书
20 篇 期刊文献

馆藏范围

4,198 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,254 篇 工学
- 2,652 篇 计算机科学与技术...
- 2,200 篇 软件工程
- 1,001 篇 信息与通信工程
- 529 篇 生物工程
- 396 篇 控制科学与工程
- 363 篇 生物医学工程（可授...
- 350 篇 电气工程
- 304 篇 光学工程
- 252 篇 电子科学与技术（可...
- 214 篇 安全科学与工程
- 193 篇 化学工程与技术
- 189 篇 仪器科学与技术
- 188 篇 交通运输工程
- 183 篇 动力工程及工程热...
- 178 篇 机械工程
- 159 篇 网络空间安全
1,680 篇 理学
- 753 篇 数学
- 565 篇 生物学
- 439 篇 物理学
- 278 篇 统计学（可授理学、...
- 271 篇 化学
- 151 篇 系统科学
1,020 篇 管理学
- 671 篇 图书情报与档案管...
- 536 篇 管理科学与工程(可...
- 279 篇 工商管理
286 篇 医学
- 271 篇 临床医学
- 267 篇 基础医学(可授医学...
- 196 篇 药学(可授医学、理...
180 篇 法学
- 129 篇 社会学
120 篇 农学
- 120 篇 作物学
104 篇 经济学
86 篇 教育学
11 篇 文学
10 篇 军事学
3 篇 艺术学

主题

110 篇 deep learning
104 篇 feature extracti...
92 篇 computer vision
73 篇 training
68 篇 accuracy
65 篇 computational mo...
65 篇 machine learning
59 篇 image processing
59 篇 artificial intel...
58 篇 data mining
57 篇 semantics
54 篇 convolutional ne...
53 篇 object detection
53 篇 computer archite...
53 篇 image segmentati...
52 篇 smart cities
49 篇 natural language...
48 篇 internet of thin...
46 篇 real-time system...
42 篇 big data

机构

15 篇 college of infor...
13 篇 school of comput...
13 篇 school of comput...
11 篇 department of co...
11 篇 xi'an university...
10 篇 key laboratory o...
10 篇 shanghai institu...
10 篇 school of inform...
9 篇 wuhan university...
9 篇 computer science...
9 篇 school of inform...
8 篇 college of compu...
8 篇 sri lanka instit...
8 篇 school of inform...
8 篇 school of inform...
8 篇 school of comput...
8 篇 peng cheng labor...
8 篇 xi'an shiyou uni...
8 篇 school of comput...
8 篇 college of compu...

作者

12 篇 wang peng
10 篇 mekruksavanich s...
9 篇 yingsong li
9 篇 temdee punnarumo...
9 篇 zhao hui
9 篇 li yingsong
9 篇 jitpattanakul an...
8 篇 gaol ford lumban
8 篇 li wei
7 篇 nikola zlatanov
7 篇 zhang chao
7 篇 wang chao
7 篇 li liping
7 篇 wang wei
7 篇 sun fuchun
7 篇 wang yang
7 篇 zlatanov nikola
7 篇 wang hao
7 篇 liping li
7 篇 zhang jian

语言

4,124 篇 英文
67 篇 其他
3 篇 中文
2 篇 俄文
2 篇 土耳其文

检索条件"任意字段=7th International Conference on Computer and Information Processing Technology, ISCIPT 2022"

共 4198 条记录，以下是201-210 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：

Data transformation in the Infectious Disease Surveillance System for the Public Health information Management 7

Data transformation in the Infectious Disease Surveillance S...

引用

7th international conference on Digital Arts, Media and technology, DAMT 2022 and 5th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications Engineering, NCON 2022

作者： Homla, Pipitton Puritat, Kitti Chiang Mai University Department of Library and Information Science Chiang Mai Thailand

ISBN: (纸本)9781665495103

this paper aims to solve the problem of large number of COVID-19 patients with paper form for COVID-19 investigation and to communicate between medical staffs and public health office center. We applied the agile model to design and develop data transformation in the infectious disease surveillance system to help a project to adapt to change requests quickly. this data transformations provide the public health emergency surveillance such as routine surveillance, COVID-19 surveillance, event-based surveillance and outbreak investigation. this approach can be useful to the Infectious disease situation. In additional, it can be provided greater contributions to manage public health data in term communicable diseases in the future. © 2022 IEEE.

关键词： Public health

来源：评论

学校读者我要写书评

暂无评论

Design of upper computer for wellhead multi-parameter detection based on LabVIEW 7

Design of upper computer for wellhead multi-parameter detect...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Qin, Hongwei Dang, Ruirong Dang, Bo Xi'an Shiyou University Shaanxi Provincial Key Laboratory of Oil and Gas Well Measurement and Control Technology Shaanxi Xi'an710065 China

ISBN: (纸本)9781665478571

In the field of natural gas well testing, wellhead multi-parameter measurement has become a critical need, so the development of multi-functional intelligent instrument has become the key. In this paper, the upper computer software designed by LabVIEW is a part of the intelligent instrument. the upper computer software first designs the tiled sequential structure, and then performs the main program design at the same time of system initialization, followed by the user interface design and event structure design. Finally, under the condition that the conditional structure is true, the function of each module is designed and the related data and waveform are displayed on the front panel. After the detailed design, the function is tested, and the data and corresponding waveform can be displayed on the upper computer interface, indicating that the upper computer software has been successfully made. As a part of the intelligent instrument, the upper computer software will work together with the supporting hardware structure, and lay a foundation for the optimization of the intelligent instrument in the future. © 2022 IEEE.

关键词： Instrument testing

来源：评论

学校读者我要写书评

暂无评论

Radar Signal Pre-sorting Based on Mean-Shift Algorithm 7

Radar Signal Pre-sorting Based on Mean-Shift Algorithm

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Zhu, Rongqing Wang, Chaoyu Jin, Songpo Zhang, Jingrong Lu, Ming Li, Hongtao Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing China China Shipbuilding Industry Corporation Nanjing Marine Radar Institute Nanjing China Electronics Technology Group Corp 54th Research Institute Shijiazhuang China

ISBN: (纸本)9781665478571

Radar signal pre-sorting, generally adopts a clustering algorithm, which can reduce the workload for the next main sorting. However, the traditional clustering algorithm is employed with inherent defects - strong stochasticity, poor robustness and burdensome computation. To reduce these limitations, the principle of K-Mean algorithm is studied to analyze its merits, and a pre-sorting model based on Mean-Shift (PSMS) algorithm is proposed. the sorting accuracy and performance of K-Means and Mean-Shift algorithms are analyzed by using the same batch of radar signals. through computer simulation analysis, the conclusion is drawn that Mean-Shift algorithm has certain superiority and application value in radar signal pre-sorting. © 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

RSI-Mix: Data Augmentation Method for Remote Sensing Image Classification 7

RSI-Mix: Data Augmentation Method for Remote Sensing Image C...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Lu, Xingshun Zhang, Chao Ye, Qihong Wang, Chao Yang, Chuansheng Wang, Quanqing Zhejiang Ocean University School of Information Engineering Zhoushan China Zhejiang Ocean University Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province Zhoushan China

ISBN: (纸本)9781665478571

Data augmentation is a common strategy to improve the performance of computer vision tasks. Regrettably, current data augmentation methods are often designed for images in RGB format and few are studied for remote sensing images. In this paper, we find that the way in which remote sensing data are obtained provides a realistic possibility for cropping images to create new ones. Based on our analyses, we propose RSI-Mix for Sentinel-2 satellite image classification. RSI-Mix is designed to cut and paste two remote sensing images of the same category according to random masks. the key inspiration of RSI-Mix is that the classification of remote sensing images is not strictly based on image texture but based on band features. the information fusion of the same area from different sources is beneficial to make an area contain more band features. Experiments show that the model with RSI-Mix is more stable and has higher performance. © 2022 IEEE.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

Automatic News Summarizer Using TextRank 7

Automatic News Summarizer Using TextRank

引用

7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Bongale, Rugved Chafekar, Talha Chowdhary, Mayank Bapecha, Tushar K.J. Somaiya College of Engineering Department of Computer Engineering Mumbai India

ISBN: (纸本)9781665421683

Natural Language processing and Deep Learning have made it possible for machines to understand the text. this is accomplished by comprehending the interrelationships between words and sentences. In this modern era, everyone wants to stay abreast of the latest news but the overwhelming amount of information makes it difficult for one to keep track of the status quo. Hence, we propose a fast summarizer system, with the help of which people can get a glimpse of source-based news summaries. In this system, we extract news from 250 sources and provide them to the user in the form of summaries, which aid in getting a quick overview of the news articles. News is provided in a categorized way where the user can select his favorite new sources. Our system not only effectively summarizes the news articles but also uses caching to ensure faster retrieval and a good user experience. We have chosen a production-efficient algorithm to get quick summaries. © 2022 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Image Enhancement Methods for Human Skin Image 7

A Comparative Study of Image Enhancement Methods for Human S...

引用

作者： Saiwaeo, Sirawit Mungmai, Lapatrada Preedalikit, Weeraya Arwatchananukul, Sujitra Aunsri, Nattapol Mae Fah Luang University School of Information Technology Thailand University of Phayao Division of Cosmetic Science School of Pharmaceutical Sciences Thailand Computer and Communication Engineering for Capacity Building Research Center Mae Fah Luang University Thailand

ISBN: (纸本)9781665495103

A person's skin serves as a primary line of protection against harmful chemical exposure. During the Covid 19 out-break, customer-provider interactions on social media increased, leading to improvements of the intelligent system for accurate skin type analysis. However, optimizing image quality before further analysis is an important step for training and testing data. As a result, image enhancement technologies contribute to the improvement of image quality. In this paper, we presets a study of four image enhancement techniques for improving the image contrast and detail of facial skin images required for further skincare analysis and treatment. the techniques of image enhancement include Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE), and Min-Max Contrast Stretching. the experimental results demonstrate that the CLAHE technique delivers the highest quality of clarity and also facilitates further image processing. © 2022 IEEE.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

Emergency Reporting System for Animals 7

Emergency Reporting System for Animals

引用

7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Khubchandani, Akhil Ray, Aratrika Shenoy, Siddharth Cardoza, Canute Rolin Pomu Chavan, Chandrashekhar Pes University Computer Science and Engineering Bangalore India

ISBN: (纸本)9781665421683

this paper aims to connect the missing links with a web-based solution where-in a person, namely the Reporter can register their complaint in about 30-40 words describing the condition of the animal in concern. On finally registering the complaint via our app, each complaint will undergo categorization with the help of Natural Language processing (NLP). Categorization happens based on the type of animal, the severity of the injury, degree of importance, and a few more important fields to consider after which, all nearby Non- governmental organizations, vets, animal hospitals, shelters and other such Agencies will be alerted of this complaint © 2022 IEEE.

关键词： Animals

来源：评论

学校读者我要写书评

暂无评论

Speech Steganography based on Double Approximation of LSFs Parameters in AMR Coding 7

Speech Steganography based on Double Approximation of LSFs P...

引用

7th international conference on Image and Signal processing and their Applications, ISPA 2022

作者： Kheddar, Hamza Mazari, Ahmed Cherif Ilk, Gokhan Hakki University of Medea Lsea Lab Dept. Electrical Engineering Faculty of Technology Medea26000 Algeria University of Medea Lsea Lab Dept. of Mathematics and Computer Science Medea26000 Algeria Ankara University Dept. of Electrical Engineering Ankara Turkey

ISBN: (纸本)9781665480420

A steganographic method for VoIP applications based on line spectral frequency (LSF) modification, is proposed in this paper. the aim of this research is to securely transmit secret binary data into AMR cover bitstream. the proposed scheme is Newton-based interpolation of the LSF coefficients of the four sub-frames, alongside with the original linear interpolation. Newton interpolation gives a perfect similarity to linear interpolation when there is no secret information is being transmitted. Besides that, Newton interpolation provides a high flexibility, which doesn't exist in linear interpolation, to modify the eight LSF coefficients from within ten, excluding the first and the tenth LSFs. the results show that after a slight modification of ±0.01 (D) during LSF interpolation using our proposed scheme, the intelligibility is perceived, the maximum steganographic quality change is 0.08 MOS. the proposed scheme provides a high capacity of 1.05 kbps, a high undetectability, and security level against statistical steganalysis. Hence, our proposed steganographic method is effective, secure and, avoid rising the suspicious to eavesdropper who is listening to the channel. © 2022 IEEE.

关键词： Steganography

来源：评论

学校读者我要写书评

暂无评论

Research on Seismic Signal Noise Reduction Algorithm based on Deep Learning 7

Research on Seismic Signal Noise Reduction Algorithm based o...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Cheng, Guojian Li, Lulu Yang, Zhuo Qiang, Xinjian School of Computer Science Xi'an Shiyou University Shaanxi Xi'an China Research Institute of Exploration and Development Changqing Oilfield Branch Shaanxi Xi'an China

ISBN: (纸本)9781665478571

the existence of noise interference in field acquired seismic signals is inevitable, which not only reduces the validity of seismic data but also will affect the subsequent interpretation of seismic data. the main objective of this paper is to use parallel asymmetric convolutional kernels to extract feature information from seismic signals in multiple directions to solve the problem of insufficient feature information extraction. the experiments are combined with the Asymmetric Convolutional Net to improve the De-noising Convolutional Neural Network. the Asymmetric De-noising Convolutional Neural Network is proposed for seismic signal noise reduction. © 2022 IEEE.

关键词： Seismic waves

来源：评论

学校读者我要写书评

暂无评论

Research on information Source Detection based on Machine Learning Algorithm 7

Research on Information Source Detection based on Machine Le...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Hu, Gebiao Liu, Han Wang, Jiale Ye, Jiahui Gong, Wenkai Song, Shiyu Construction Branch State Grid Jiangxi Electric Power Company Nanchang China Hebei University College of Physics Science and Technology Baoding China Northwest University School of Information Science and Technology Xi'an China Northwest University School of Mathematics Science Xi'an China

ISBN: (纸本)9781665478571

Estimating the information source is an essential indicator in large-scale complex social networks. Previous researchers have mainly concentrated on network or graph structures with relationship strengths among vertex. However, relationship strengths are randomly distributed in network. We propose a four layers novel conventional neural network that train and investigate the source of each information in network. We also develop a method to evaluate the credibility of founded information source into positive or negative vertexes based on their training results. To evaluate our model, we utilize two large data set gemsec-deezer and emergent from real life. Experimentally training results demonstrate 80%-85% accuracy of determining message source nodes with reasonable computation costs. Finally, we show our positive and negative information sources performance in terms of the accuracy after testing step. © 2022 IEEE.

关键词： Machine learning

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420页 << < 17 18 19 20 21 22 23 24 25 26 > >>

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：