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

1,526 篇 会议
4 册 图书
2 篇 期刊文献

馆藏范围

1,532 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,137 篇 工学
- 964 篇 计算机科学与技术...
- 824 篇 软件工程
- 268 篇 信息与通信工程
- 206 篇 控制科学与工程
- 170 篇 生物工程
- 150 篇 电气工程
- 91 篇 电子科学与技术（可...
- 84 篇 动力工程及工程热...
- 81 篇 生物医学工程（可授...
- 75 篇 机械工程
- 66 篇 光学工程
- 64 篇 安全科学与工程
- 54 篇 交通运输工程
- 38 篇 化学工程与技术
- 34 篇 环境科学与工程（可...
- 29 篇 仪器科学与技术
537 篇 理学
- 258 篇 数学
- 180 篇 生物学
- 120 篇 物理学
- 77 篇 统计学（可授理学、...
- 69 篇 系统科学
- 41 篇 化学
316 篇 管理学
- 208 篇 管理科学与工程(可...
- 137 篇 图书情报与档案管...
- 122 篇 工商管理
70 篇 法学
- 59 篇 社会学
59 篇 医学
- 55 篇 临床医学
- 51 篇 基础医学(可授医学...
- 34 篇 药学(可授医学、理...
52 篇 经济学
- 52 篇 应用经济学
24 篇 农学
19 篇 教育学
6 篇 文学
5 篇 军事学

主题

35 篇 software
32 篇 internet of thin...
32 篇 computer softwar...
27 篇 application soft...
26 篇 computer archite...
24 篇 software enginee...
24 篇 real-time system...
20 篇 deep learning
20 篇 cloud computing
20 篇 computer vision
19 篇 computational mo...
17 篇 costs
17 篇 convolutional ne...
16 篇 feature extracti...
16 篇 machine learning
16 篇 training
15 篇 programming
15 篇 recommender syst...
14 篇 computer science
14 篇 object detection

机构

22 篇 wuhan donghu uni...
17 篇 school of comput...
8 篇 school of cyber ...
8 篇 school of inform...
8 篇 university of ta...
8 篇 school of electr...
7 篇 school of comput...
7 篇 college of compu...
6 篇 school of electr...
6 篇 school of electr...
6 篇 school of automa...
6 篇 school of inform...
5 篇 chitkara univers...
5 篇 beijing key labo...
5 篇 beijing universi...
4 篇 college of engin...
4 篇 school of comput...
4 篇 school of big da...
4 篇 school of comput...
4 篇 beijing engineer...

作者

8 篇 lian ren-zun
7 篇 zhang bo
5 篇 wang jing
5 篇 li zixin
5 篇 li jiawen
5 篇 li jianqiang
4 篇 mirchandani sanj...
4 篇 liang meiyu
4 篇 zhang rui
4 篇 surendran r.
4 篇 chen xiangning
4 篇 li weixin
4 篇 li jian
4 篇 zhang li
4 篇 liu hai
4 篇 meiyu liang
3 篇 wang lei
3 篇 yawen li
3 篇 li yang
3 篇 dai fei

语言

1,513 篇 英文
16 篇 中文
14 篇 其他
3 篇 土耳其文
1 篇 德文

检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

共 1532 条记录，以下是141-150 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：

Research on Face Expression Recognition Based on Deep Learning 8

Research on Face Expression Recognition Based on Deep Learni...

引用

8th international conference on Information systems engineering, ICISE 2023

作者： Tang, Xiaoping Wuhan Donghu University Computer Department Wuhan430212 China

ISBN: (纸本)9798350307009

Facial expression is the most powerful, natural and universal nonverbal means for human beings to convey their emotional state and intention in the process of communication. Face expression recognition can make robots read human emotions and become more intelligent. therefore, facial expression recognition has become one of the research hotspots in artificial intelligence, human-computer interaction and image recognition. In recent years, deep learning is a hot research direction of facial expression recognition, which can effectively improve the face recognition rate. this paper first introduces the relevant knowledge of facial expression recognition, then summarizes the commonly used deep learning algorithms and the latest research progress in facial expression recognition, and finally summarizes the main technical challenges and research difficulties in facial expression recognition. © 2023 ieee.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Cost-Efficient and Effective Counter Unmanned Aerial System via Visual-Acoustic Sensing 8

Cost-Efficient and Effective Counter Unmanned Aerial System ...

引用

8th international conference on Robotic Computing

作者： Lee, Changyeon Yu, Dongju Cho, Soyeon Hindsley, Dane W. Patterson, Halaevalu F. Clecak, Megan A. Matson, Eric T. Yonsei Univ Comp Sci & Engn Seoul South Korea Kunsan Natl Univ Comp Software Gunsan South Korea Kyung Hee Univ Software Convergence Yongin South Korea Purdue Univ Comp & Informat Technol W Lafayette IN 47907 USA Purdue Univ Robot Engn Technol W Lafayette IN 47907 USA

ISBN: (纸本)9798331521561;9798331521554

As Unmanned Aerial Vehicles (UAVs) become more accessible to the public, they become a common tool for malicious purposes. As a result, there is an increasing demand for Counter Unmanned Aerial systems (CUAS) that can detect UAVs. Existing CUAS solutions often rely on high-priced radar systems or advanced technologies, primarily designed for military purposes. In this paper, a low-cost, effective, non-military CUAS that uses inexpensive smartphones' microphones and camera, along with machine learning models, is proposed to detect and track a malicious UAV (MUAV) in real-time. Our proposed CUAS is designed to be affordable and accessible to the general public, operating automatically to detect and track MUAVs in real-time.

关键词： Counter-Unmanned Aerial System Unmanned Aerial Vehicle UAV Detection UAV Tracking computer Vision Machine Learning Cost-Efficiency

来源：评论

学校读者我要写书评

暂无评论

Deep Neural Network-based Crime Scene Detection with Frames 8

Deep Neural Network-based Crime Scene Detection with Frames

引用

8th ieee international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2023

作者： Nandhini, J.T. thinakaran, K. Department of Computer Science and Engineering Saveetha School of Engineering Chennai India

ISBN: (纸本)9798350347791

the field of computer vision stands to benefit significantly from automated crime scene detection. In this work, we demonstrate the application of DNN (Deep Neural Network) to identify a knife, blood, and gun in a picture and forecast whether a crime has occurred. Improving the accuracy of the system's detection capabilities was a top priority for us since we wanted to make the system as helpful as possible. To get a detection result, DNN's Non-linearity ReLu (Rectified Linear Unit), a Convolutional Neural Network Layer, a Fully Connected Layer, and a Dropout Function are employed. Additionally, this research makes use of a Dropout Function. To get the outcomes we want from Neural Networks, we use the open-source platform TensorFlow. Our system has a test accuracy of about 92.1% for the datasets that are currently accessible, which puts it in a very competitive position compared to other systems specifically created for this task. © 2023 ieee.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Determining the Optimal Number of GAT and GCN Layers for Node Classification in Graph Neural Networks

Determining the Optimal Number of GAT and GCN Layers for Nod...

引用

international conference on software engineering and computer systems (icsecs)

作者： Humaira Noor Niful Islam Md. Saddam Hossain Mukta Nur Shazwani Binti Kamarudin Mohaimenul Azam Khan Raiaan Sami Azam Department of CSE United International University (UIU) Bangladesh Faculty of Computing University Malaysia Pahang (UMP) Malaysia Faculty of Science and Technology Charles Darwin University (CDU) Australia

Node classification in complex networks plays an important role including social network analysis and recommendation systems. Some graph neural networks such as Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT) have emerged as effective approaches for achieving high-performance classification in such tasks. However, constructing a graph neural network architecture is challenging particularly due to the complex task of determining the optimal number of layers. this study presents a mathematical formula for determining the optimal number of GCN and GAT hidden layers. the experiment was conducted on ten benchmark datasets, evaluating performance metrices such as accuracy, precision, recall, F1-score, and MCC for identifying the best estimation of number of hidden layers. According to the experimental findings, the number of GAT and GCN layers selected has a substantial impact on classification accuracy. Studies show that adding extra layers after the optimum number of layers has a negative or no impact on the classification performance. Our proposed approximation technique may provide valuable insights for enhancing efficiency and accuracy of the Graph Neural Network algorithms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Twitter-based software Vulnerability Alert Framework using Natural Language Processing 8

A Twitter-based Software Vulnerability Alert Framework using...

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Yadhu Krishna, M. Sneha, C.K. thejaswi, A.R. Kumar, Sayooj B. Sarath, Greeshma Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350396638

With the increasing usage of networks, the frequency of cyber attacks are expected to increase. To prepare against these attacks, modern organizations require effective ways to ensure cyber security. Twitter is one of the most well-known social media platforms in the world. Tweets by users on Twitter cover a wide range of topics, from daily life to politics and breaking news. this social media platform has a sizable and diverse user base, provides great accessibility, and timeliness, resulting in the production of a huge amount of publicly available data, which in turn can be used effectively for a variety of purposes. For detecting security vulnerability events via Twitter, we introduce a Natural Language Processing-based approach. the tool can be used to provide alerts and notifications to users when a security vulnerability is detected. © 2023 ieee.

关键词： Cybersecurity

来源：评论

学校读者我要写书评

暂无评论

Application of System Operation and Maintenance Knowledge Base based on Machine Learning in Automobile Industry 8

Application of System Operation and Maintenance Knowledge Ba...

引用

8th international conference on Information systems engineering, ICISE 2023

作者： Cheng, Bin Hao, Qiong Chen, Zhiwen Wuhan Railway Vocational College of Technology College of Computer and Information Engineering Wuhan430000 China

ISBN: (纸本)9798350307009

With the increasingly fierce competition in the automobile industry, the demand for digital transformation is increasingly strong, and the requirements for system operation and maintenance are also increasingly high. In the face of the current situation of system operation and maintenance faced by the automobile industry, such as passive fault detection, repetitive work, and reliance on experience, this paper innovatively proposes a system operation and maintenance knowledge base based on machine learning applicable to the automobile industry. It uses the Scrap crawler to obtain the system history data, uses the decision tree algorithm to extract the value contained in the data, and finally visualizes the results to improve the service quality of operation and maintenance and optimize the operation and maintenance management process. © 2023 ieee.

关键词： Automotive industry

来源：评论

学校读者我要写书评

暂无评论

Design of acquisition system for acquiring current output signal based on STM32 8

Design of acquisition system for acquiring current output si...

引用

8th international conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2023

作者： He, Jiafeng Jing, Xuedong Shanghai Institute of Technology School of Mechanical Engineering Shanghai China Shanghai Institude of Technology School of Electrical and Electronic Engineering Shanghai China

ISBN: (纸本)9798350369564

Current signals are commonly used as output signals of sensors. For sensors with output signals ranging from 4 to 20mA, a data acquisition system based on STM32F103 microcontroller of ARM Cortex-M3 kernel is proposed in this paper. the experimental results show that the acquisition system can realize the functions of data acquisition, data storage and data display by using the task management mechanism of μC/OS-II operating system, managing the data of SD card with FatFs file system and writing the interface in QT. In addition, the acquisition precision can reach less than 1%. this paper mainly analyzes three aspects of the acquisition system: 1. Hardware, including microcontroller, signal conversion module, data storage module and serial communication module;2. software, including ADC acquisition function, data storage function, upper computer display interface and μC/OS-II real-time system;3. Experiment and result, including precision experiment and application example. © 2023 ieee.

关键词： Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

Integrating RC6 Stream Cipher to A Chaotic Synchronization System 8

Integrating RC6 Stream Cipher to A Chaotic Synchronization S...

引用

8th ieee international conference on Smart Cloud, SmartCloud 2023

作者： Hsiao, Feng-Hsiag Chiu, Po-Wei Chang, Shou-Wen Dept. of Electrical Engineering National University of Tainan Tainan Taiwan

ISBN: (纸本)9798350313505

this study proposes a new fuzzy control method based on Improved Genetic Algorithm (IGA) that employs the Parallel Distributed Compensation technology to achieve the exponential synchronization of two chaotic systems with multiple time delays. In addition, combining the chaotic synchronization and cryptography concepts will result in a more secured communication system. To ensure the exponential stability of the error system, the initial message (plaintext) is first encrypted using the Rivest cipher 6 (RC6) algorithm and the key, and the encrypted message (ciphertext) re-encrypted through chaotic synchronization, and exponential stability related to time delay is derived by using the Lyapunov function criterion. Afterward, the exponential stability criterion transformed into linear matrix inequality (LMI). A set of fuzzy controller parameters obtained by using the LMI Toolbox of the numerical simulation software M A T L A B. this parameter by the IGA primitive populations to evolve. Given IGA's ability to randomly search for the best solution in the entire domain, it possible to find a better fuzzy controller feedback gain to accelerate the error system's convergence, allowing the master and slave systems to achieve synchronization quickly. ©2023 ieee.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

chatGPT vs Mentor : Programming Language Learning Assistance System for Beginners

chatGPT vs Mentor : Programming Language Learning Assistance...

引用

international conference on software engineering and computer systems (icsecs)

作者： JunSeong Moon RaeEun Yang SoMin Cha Seong Baeg Kim Computer Education Graduate School Jeju National University Jeju South Korea Computer Education Jeju National University Jeju South Korea

With the recent rise of large language models, learning assistance systems that utilize natural language processing capabilities are gaining attention. However, existing learning assistance systems mainly aim to provide answers to learners' questions, and have limitations in accurately identifying individuallearning needs and analyzing questions to provide customized answers. therefore, in this study, we compare chatGPT and mentor responses in the process of learning a programming language and find out the limitations of each and develop a system to assist programming language learning using chatGPT. the developed system allows learners to get realtime answers from chatGPT immediately, and can also provide additional personalized guidance and answers based on the mentor's judgment. In addition, through the analysis of learners' responses and chatGPT's answers, we aim to evaluate the appropriateness and accuracy of the answers and explore and suggest technical limitations and improvement measures of chatGPT. By analyzing and discussing the differences between the traditional mentoring method and the learning assist method using chatGPT, we aim to diagnose the limitations of chatGPT in programming language learning. through this study, we expect to develop an effective programming language learning assistance system by integrating the advantages of chatGPT and mentoring to improve learners' understanding and learning efficiency.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Development of an Automated Tool to download Youtube Audio/Video using Artificial Intelligence Techniques 8

Development of an Automated Tool to download Youtube Audio/V...

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Elizabeth Rani, G. Sakthimohan, M. Amuthaguka, D. Sanjeevi Kumar, V. Gobala Krishnan, B. Arvind, M. KGiSL Institute of Technology Department of Csbs Tamilnadu Coimbatore India KGiSL Institute of Technology Department of Ece Coimbatore India Kalasalingam Academy of Research and Education Department of Computer Applications Krishnan Koil India

ISBN: (纸本)9798350396638

the aim of this research study is to present a new YouTube downloader software tool that leverages the power of both artificial intelligence and the Python programming language. this innovative solution combines cutting-edge AI algorithms with the versatility of Python to offer a highly efficient and automated solution for downloading videos from YouTube. the software utilizes AI algorithms to analyze the YouTube video and determine the best possible download format and resolution. the user-friendly interface, built using Python, allows even novice users to easily search, select, and download videos from YouTube. the tool also supports batch downloading, enabling users to download multiple videos at once. Furthermore, the software employs AI-powered optimization techniques to enhance the speed and quality of the downloaded videos. the results of our experiments show that this software offers a faster and more efficient solution for downloading YouTube videos compared to traditional YouTube downloader tools. In conclusion, the developed YouTube downloader using Python and AI is a valuable tool for individuals and businesses who require a fast and reliable way to download and save YouTube videos for offline viewing. © 2023 ieee.

关键词： Python

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154页 << < 11 12 13 14 15 16 17 18 19 20 > >>

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：