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

3,015 篇 会议
4 册 图书
4 篇 期刊文献

馆藏范围

3,023 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,289 篇 工学
- 2,036 篇 计算机科学与技术...
- 1,643 篇 软件工程
- 896 篇 信息与通信工程
- 656 篇 控制科学与工程
- 468 篇 网络空间安全
- 418 篇 生物工程
- 321 篇 电气工程
- 273 篇 生物医学工程（可授...
- 241 篇 电子科学与技术（可...
- 219 篇 仪器科学与技术
- 218 篇 石油与天然气工程
- 175 篇 动力工程及工程热...
- 147 篇 光学工程
- 119 篇 安全科学与工程
- 109 篇 机械工程
1,356 篇 理学
- 794 篇 数学
- 436 篇 生物学
- 278 篇 统计学（可授理学、...
- 242 篇 化学
- 193 篇 物理学
- 130 篇 系统科学
829 篇 管理学
- 527 篇 管理科学与工程(可...
- 435 篇 图书情报与档案管...
- 229 篇 工商管理
307 篇 医学
- 237 篇 临床医学
- 235 篇 基础医学(可授医学...
- 167 篇 药学(可授医学、理...
- 166 篇 公共卫生与预防医...
138 篇 法学
- 102 篇 社会学
87 篇 农学
- 86 篇 作物学
81 篇 教育学
80 篇 经济学
10 篇 军事学
2 篇 文学

主题

89 篇 deep learning
87 篇 machine learning
66 篇 internet of thin...
61 篇 blockchain
53 篇 big data
47 篇 support vector m...
46 篇 forecasting
45 篇 data mining
37 篇 students
34 篇 artificial intel...
34 篇 convolutional ne...
33 篇 feature extracti...
32 篇 long short-term ...
30 篇 decision trees
29 篇 sentiment analys...
26 篇 object detection
26 篇 training
25 篇 cybersecurity
24 篇 computer vision
24 篇 power electronic...

机构

58 篇 maharishi school...
57 篇 uttaranchal univ...
39 篇 vishwakarma inst...
36 篇 chitkara univers...
35 篇 vivekananda glob...
32 篇 national univers...
32 篇 the islamic univ...
29 篇 centre of interd...
27 篇 lovely professio...
24 篇 chitkara univers...
24 篇 vishwakarma inst...
24 篇 graphic era deem...
23 篇 sr university sc...
21 篇 school of comput...
20 篇 uttaranchal inst...
19 篇 graphic era hill...
18 篇 maharishi school...
16 篇 vishwakarma inst...
16 篇 college of pharm...
15 篇 ajloun national ...

作者

29 篇 chauhan rahul
17 篇 alazzam malik ba...
16 篇 joshi kapil
14 篇 dhabliya dharmes...
13 篇 gill kanwarparta...
13 篇 gehlot anita
13 篇 tiwari mohit
10 篇 kukreja vinay
10 篇 mondal dipannita
10 篇 vats satvik
10 篇 anand vatsala
9 篇 sharma neha
9 篇 gupta rupesh
9 篇 kumar bura vijay
8 篇 anjali t.
8 篇 kumar ritesh
8 篇 singh vaishali
8 篇 singh akhilendra...
8 篇 singh rajesh
8 篇 abdelminaam diaa...

语言

2,956 篇 英文
67 篇 其他
6 篇 中文

检索条件"任意字段=2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023"

共 3023 条记录，以下是461-470 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：

application of K-means Algorithm in College Students' Physical Health Test Results 3

Application of K-means Algorithm in College Students' Physic...

引用

3rd international conference on Information Technology and Contemporary Sports, TCS 2023

作者： Ma, Jiu Zhang, Zhiqi Henan University of Science and Technology Department of Business Luoyang China Henan University of Science and Technology Department of Physical Education Luoyang China

ISBN: (纸本)9798350393934

In order to improve the utilization rate of college students' physical health data, and deeply analyze physical health data. The k-means algorithm was used to cluster the seven physical health test indexes of boys and girls, mining the physical quality characteristics of boys and girls, and dividing the students into categories;The clustering results showed that: the overall physical quality of girls was better than that of boys, and the lower limb muscle strength and endurance of boys and girls needed to be enhanced. Some girls' sit-and-reach performance was poor, nearly half of the boys' pull-up performance was poor, and some boys' and girls' vital capacity performance was significantly worse than that of other students;This provides an important reference for physical education teachers to carry out teaching and improve students' physical quality. © 2023 ieee.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

A method for synthesizing dynamic image of virtual human 3

A method for synthesizing dynamic image of virtual human

引用

3rd international conference on Consumer Electronics and computer Engineering, ICCECE 2023

作者： Shen, Siyuan Zhang, Wei China Aerospace Academy of Systems Science and Engineering Beijing China

ISBN: (纸本)9798350331578

With the rise of the Metaverse, the need for efficient modeling of avatars becomes increasingly urgent. Building virtual human models from human image datasets has been a hot topic in computer vision. We used the speech synthesis technology to complete the conversion from text to speech waveform, and used the speech-lip shape generation method to generate a real person image with audio and video synchronization, finally used the thin plate spline transformation method to drive the virtual human image, and synthesizes a virtual human with audio and video synchronization image. Experimental results show that this method can effectively solve the problem of text-driven avatar lip mismatch and text-driven avatar audio and video asynchronous problems, and can synthesize high-quality, high-fidelity, low-latency avatars. © 2023 ieee.

关键词： Speech synthesis

来源：评论

学校读者我要写书评

暂无评论

Automatic Face Recognition System Based on data Augmentation and Transfer Learning 3

Automatic Face Recognition System Based on Data Augmentation...

引用

3rd international conference on Theoretical and Applicative Aspects of computer science, ICTAACS 2023

作者： Abdessalam, Hattab Ali, Behloul Batna 2 University LaSTIC Laboratory Computer Science Department Batna Algeria

ISBN: (纸本)9798350385854

In an era marked by the ubiquity of digital identity verification, the realm of biometrics, especially facial recognition, has been a focal point of research. While it has exhibited impressive performance under controlled conditions, its efficacy degrades under uncontrolled environments. To address this challenge, we present a robust face recognition system inspired by Xception model. We harnessed the power of data Augmentation and Transfer Learning techniques to proficiently train our proposed Deep CNN model on limited face datasets. These dual techniques not only led to heightened recognition accuracy but also served as robust safeguards against overfitting. Through rigorous testing using the Georgia Tech and ORL benchmark datasets, employing a two-fold cross-validation protocol, our system consistently surpasses contemporary state-of-the-art face recognition methods, achieving an outstanding 100% accuracy rate on both datasats. © 2023 ieee.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

A Residual Network-based Cognitive Diagnostic Framework 3

A Residual Network-based Cognitive Diagnostic Framework

引用

3rd international conference on Electronic Information Engineering and computer science, EIECS 2023

作者： Wang, Linlin Luo, Xueyi Li, Zhiping Zheng, Huizhen Yunnan Normal University School of Information and Science Technology Kunming China

ISBN: (纸本)9798350316674

With the rapid development of science and technology and the continuous improvement of education level, intelligent education occupies an increasingly important position in modern education, in which cognitive diagnosis is a key link aimed at discovering students' proficiency in specific knowledge concepts. In response to the problem that the existing methods or models are not sufficiently mined with respect to the student and the exercise as well as their interactive information, this paper proposes a cognitive diagnostic framework based on the dual residual network DRCD and implemented the DRCDM model. We modelled student and exercises through residual networks respectively, fused features such as the exercise similarity, the importance of knowledge concept, difficulty of knowledge concept and the discrimination of exercise, and derived independent student and exercise feature vectors before conducting score prediction experiments through neural networks on three publicly available data of Math1, Math2 and ASSIST. The experimental results demonstrate the effectiveness of the DRCD framework. © 2023 ieee.

关键词： Cognitive diagnostics Personalized learning Residual networks

来源：评论

学校读者我要写书评

暂无评论

The Design and Practice of the OpenKylin Build and Management System 3

The Design and Practice of the OpenKylin Build and Managemen...

引用

3rd ieee international conference on Software Engineering and Artificial Intelligence, SEAI 2023

作者： Peng, Long Liu, Xiaodong Yu, Jie Liao, Xia Tashi, Nyima Xu, Xinyan Wang, Wenzhu Rengzeng, Duojie Zhou, Mao National University of Defense Technology College of Computer Changsha China Tibet University Shool of Information Science and Technology Lhasa China Haihe Lab of Itai Tianjin China KylinSoft Co. Ltd. Department of Desktop Tianjin China

ISBN: (纸本)9798350337952

The Linux-based desktop operating systems now dominate China's Market of Information Technology application Innovation, as well as the kernel drivers and application companions. All of them can be arranged as software packages, such as Linux kernels, system configurations, core dynamic libraries. Building such a sophisticated and dynamic ecosystem urges for a clear and pipelined architecture of the build system. In this paper we elaborate our design and practice of the openKylin build and management system, including a property-extended modular package management system, an incremental upgrading and updating scheme, a remote maintenance system, and an enhanced modular code management system. The deployment results show that the openKylin build system has coherent procedure. © 2023 ieee.

关键词： Linux

来源：评论

学校读者我要写书评

暂无评论

LM-Net-Dual: A Two Branch Spatiotemporal Feature Extraction Model for Dynamic Gestures Recognition 3

LM-Net-Dual: A Two Branch Spatiotemporal Feature Extraction ...

引用

3rd international conference on computer science, Electronic Information Engineering and Intelligent Control Technology, CEI 2023

作者： Wang, Zhaocong Du, Hang Zhu, Haiyu Sun, Xiaoyan School of Information Science and Technology Hangzhou Normal University Hangzhou China

ISBN: (纸本)9798350372052

Dynamic gesture recognition is one of the important technologies in human-computer interaction. Leap Motion Controller can capture the coordinate data of key points of the hand, and is widely used in Gesture recognition. Current works usually rely on manual feature extraction for LMC-based gesture recognition. The purpose of this paper is to propose an end-to-end dynamic gesture recognition scheme in real time. A spatiotemporal data recoding method is proposed, which recodes the original data containing the spatial and temporary features returned by LMC, so that 2D convolution can extract features from space and temporary dimensions. The proposed two branch model LM-Net-Dual based on task splitting can focus on finger posture and hand movement separately, improving the discrimination of similar gestures. In addition, a real-time dynamic gesture recognition scheme based on sliding time window and confidence limit is proposed. The proposed model is trained and tested on dataset LM-16 which contains 16 dynamic gestures, achieving an accuracy of 100%. © 2023 ieee.

关键词： Gesture recognition

来源：评论

学校读者我要写书评

暂无评论

Research on Self-driving Vehicle Driving Status Monitoring and Trajectory Tracking Technology

Research on Self-driving Vehicle Driving Status Monitoring a...

引用

data science and computer application (icdsca), ieee international conference on

作者： Yuxin Zhai Yuchao Gao Xin Wang College of Transportation Shandong University of Science and Technology Qingdao China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

Considering the research of driving state monitoring and trajectory tracking technology of autonomous vehicles in roads under low permeability conditions is an important technical means to alleviate traffic problems and ensure traffic safety, which is of great significance to improve the safety and robustness of autonomous driving. However, the traditional trajectory tracking algorithm has the problem of insufficient data accuracy and cannot effectively obtain the holographic traffic trajectory state. Accordingly, this paper proposes a forward vehicle state prediction algorithm based on the combination of the Auto-Regressice Moving Average (ARMA) model and Kalman filter to achieve accurate prediction of vehicle trajectory. At the same time, this paper also proposes a spatiotemporal fusion strategy based on the topological statistical distance of vehicle network data and roadside wide-area radar data and constructs a spatiotemporal correlation mechanism of the absolute position of vehicle GNSS and relative position information of millimeter wave radar detection to realize continuous and accurate location tracking service of vehicles and provide reliable data support for intelligent traffic control.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-element Integration and Large Kernel Attention-enhanced Aerial Target Detection 3

Multi-element Integration and Large Kernel Attention-enhance...

引用

3rd international conference on Cloud Computing, Big data application and Software Engineering, CBASE 2024

作者： Xu, Bangyan Wu, Kaijun Ma, Jianli Tang, Lihua Lanzhou Jiaotong University Anning District Gansu Lanzhou China Development Service Center Tongliao National Agricultural Science and Technology Park China

ISBN: (纸本)9798331506582

LH Net-YOLO, a high-res aerial target detection method, addresses low-res drone image issues. It uses HybridGAP-Net for better resolution and multi-scale adaptability, SCConv for lightweighting, Large Kernel Attention for small targets,and MPDIoU loss function for reduced missed detections. This method is applied on the VisDrone2019 and DOTA1.0 datasets mAP@0.5 P, R mAP@0.5 On 0.95, it performs better than the YOLOv8n model and also shows improvement at other scales of YOLOv8, confirming its effectiveness. © 2024 ieee.

关键词： Aircraft detection

来源：评论

学校读者我要写书评

暂无评论

Improved On-Device Hyperdimensional-Computing-based Image Segmentation 3

Improved On-Device Hyperdimensional-Computing-based Image Se...

引用

3rd ieee international conference on Intelligent Technology and Embedded Systems, ICITES 2023

作者： Zhou, Xinran Lu, Huayue College of Computer and Network Security Chengdu University of Technology Chengdu China Department of Computer Science and Engineering University of Connecticut StorrsCT United States

ISBN: (纸本)9798350343755

Today’s artificial intelligence technology has made great progress and in many fields involved in artificial intelligence, such as medical imaging, logistics, manufacturing, and other fields, one of the most basic tasks is segmentation. Image segmentation is a more difficult segment in segmentation, and its existing problems are: insufficient labeled data leads to weakened performance, and it is difficult to process on the device. Recently, a hyperdimensional-computing-based unsupervised segmentation approach has been proposed, which can process images on-device. However, there are still some problems, like latency. In this work, we have made some improvements based on previous work and propose ImSegHDC having much lower latency with only a little segmentation performance drop. © 2023 ieee.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Classifying Leukemia through DNA Expression data Mining Techniques 3

Classifying Leukemia through DNA Expression Data Mining Tech...

引用

3rd ieee international Maghreb Meeting of the conference on sciences and Techniques of Automatic Control and computer Engineering, MI-STA 2023

作者： Bouazza, Sara Haddou Wakrim, Layla Benedress, Lwaa Gafer CPGE IBN GHAZI Physics Department Marrakech Morocco ISGA Marrakech Morocco Libya Open University Benghazi Libya

ISBN: (纸本)9798350319897

The development of Microarray technology has provided vast amounts of data in various fields, including a cancer database which plays a crucial role in cancer prediction and recognition. This database includes expression levels of thousands of genes from several samples;however, the primary challenge lies in the mismatch between the dimensions of genes and samples. To tackle this issue, Artificial Intelligence algorithms, data mining methods, and computer science technologies are used to reduce the dimensionality of the matrix containing the expression levels of genes. After this reduction step, cancer classification or recognition takes place. The present study focuses on the binary classification of leukemia cancer with the aim of enabling scientists to classify leukemia samples into two classes (Acute Lymphocytic Leukemia and Acute Myelocytic Leukemia) in more efficient and accurate manner. To achieve this objective, various feature selection methods were applied and compared, leading to the adoption of the best dimensionality reduction algorithm, resulting in the highest classification accuracy using the minimum number of genes (features). © 2023 ieee.

关键词： Classification (of information)

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303页 << < 43 44 45 46 47 48 49 50 51 52 > >>

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：