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

105,868 篇 会议
686 篇 期刊文献
550 册 图书
4 篇 学位论文

馆藏范围

107,107 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

60,597 篇 工学
- 49,763 篇 计算机科学与技术...
- 39,613 篇 软件工程
- 13,587 篇 信息与通信工程
- 11,474 篇 生物工程
- 8,623 篇 控制科学与工程
- 6,745 篇 电气工程
- 6,305 篇 生物医学工程（可授...
- 3,773 篇 光学工程
- 3,419 篇 机械工程
- 2,981 篇 电子科学与技术（可...
- 2,938 篇 网络空间安全
- 2,688 篇 安全科学与工程
- 2,504 篇 动力工程及工程热...
- 2,318 篇 化学工程与技术
- 2,165 篇 仪器科学与技术
25,961 篇 理学
- 12,102 篇 数学
- 12,099 篇 生物学
- 5,128 篇 物理学
- 4,846 篇 统计学（可授理学、...
- 3,517 篇 系统科学
- 2,324 篇 化学
17,396 篇 管理学
- 10,920 篇 管理科学与工程(可...
- 7,650 篇 图书情报与档案管...
- 5,096 篇 工商管理
13,468 篇 教育学
- 13,266 篇 教育学
6,449 篇 医学
- 5,424 篇 临床医学
- 5,173 篇 基础医学(可授医学...
- 3,408 篇 药学(可授医学、理...
- 2,926 篇 公共卫生与预防医...
3,338 篇 法学
- 2,889 篇 社会学
1,965 篇 文学
1,751 篇 农学
1,650 篇 经济学
267 篇 艺术学
105 篇 军事学
11 篇 历史学
10 篇 哲学

主题

7,149 篇 machine learning
6,869 篇 deep learning
5,213 篇 accuracy
4,990 篇 training
4,775 篇 computational mo...
4,138 篇 education
3,821 篇 students
3,504 篇 feature extracti...
2,994 篇 support vector m...
2,993 篇 machine learning...
2,976 篇 predictive model...
2,905 篇 convolutional ne...
2,357 篇 real-time system...
2,295 篇 data models
2,225 篇 neural networks
1,983 篇 cloud computing
1,791 篇 teaching
1,473 篇 reinforcement le...
1,434 篇 artificial intel...
1,381 篇 internet of thin...

机构

823 篇 chitkara univers...
143 篇 lovely professio...
110 篇 computer science...
98 篇 karnataka bangal...
91 篇 college of compu...
86 篇 school of comput...
80 篇 chitkara univers...
76 篇 school of comput...
72 篇 department of co...
68 篇 department of co...
64 篇 department of co...
58 篇 department of co...
56 篇 school of comput...
49 篇 department of co...
48 篇 chitkara univers...
43 篇 department of me...
42 篇 school of automa...
42 篇 vellore institut...
40 篇 chennai
37 篇 sathyabama insti...

作者

70 篇 shiva mehta
69 篇 anjali t.
53 篇 li yang
42 篇 sharma vikrant
40 篇 wang lei
40 篇 kukreja vinay
39 篇 rakesh kumar
37 篇 gill kanwarparta...
35 篇 sharma neha
34 篇 wang jing
32 篇 vinay kukreja
31 篇 lei wang
31 篇 zhang lei
30 篇 huang yueh-min
29 篇 liu bo
28 篇 yu wang
27 篇 li xin
25 篇 vinay gautam
25 篇 amandeep nagpal
25 篇 kumar ajay

语言

102,483 篇 英文
4,262 篇 其他
736 篇 中文
27 篇 西班牙文
17 篇 葡萄牙文
5 篇 阿拉伯文
3 篇 法文
3 篇 土耳其文
2 篇 俄文

检索条件"任意字段=International Conference on Teaching and Learning in Computing and Engineering"

共 107108 条记录，以下是101-110 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：

Improved learning Performance in Physical Reservoir computing Using Coupled Triple MEMS Nonlinear Resonators 38

Improved Learning Performance in Physical Reservoir Computin...

引用

38th IEEE international conference on Micro Electro Mechanical Systems, MEMS 2025

作者： Shima, Kosuke Takemura, Hiroki Shimofuri, Masaki Banerjee, Amit Hirotani, Jun Tsuchiya, Toshiyuki Kyoto University Department of Micro Engineering Japan

ISBN: (纸本)9798331508890

This paper reports on physical reservoir computing (PRC) using electrostatically coupled triple MEMS nonlinear resonators and demonstrates for the first time that it is effective in improving learning performance to increase the number of resonators to obtain virtual nodes from one to three. The resonator of doubly supported beam is made of single crystal silicon using a SOI wafer. We first numerically evaluated the learning performance of this novel computing system, followed by experimental evaluation by the actual device. Numerical simulation and experiments show similar results, indicating that using all resonator motion states for machine learning increases memory capacity in a nonlinear task. © 2025 IEEE.

关键词： Silicon wafers

来源：评论

学校读者我要写书评

暂无评论

Research on the Construction and Application of Virtual Simulation Experiment teaching Environment for Vehicle engineering Specialty

Research on the Construction and Application of Virtual Simu...

引用

14th international conference on Educational and Information Technology, ICEIT 2025

作者： Bin, Zheng School of Intelligent Manufacturing Panzhihua University Panzhihua China

ISBN: (纸本)9798331540883

According to the actual needs of students majoring in vehicle engineering, this paper focuses on the application of virtual simulation experimental environment in their professional learning and ability training. Through the experimental courses such as automobile CAD/CAE/ CAM, automobile engine parts design and modeling, and automobile chassis parts design and modeling, students can simulate the real automobile design, analysis and manufacturing process in the virtual environment. This teaching method can effectively make up for the lack of resources and security risks in traditional experimental teaching, and can also improve their learning effect. The characteristics and requirements of vehicle engineering major are deeply analyzed, especially for the core experimental courses. The subject will discuss the talent demand of vehicle engineering specialty, and compare the matching degree between the industry demand and the existing experimental course system of vehicle engineering. On this basis, the subject will propose an automobile virtual simulation experimental platform architecture, which will use advanced virtual simulation technology to simulate the real automobile design, and provide an immersive and interactive learning experience. This topic will adopt a variety of teaching methods to stimulate students' initiative. These methods will be integrated into the automobile virtual simulation experimental platform, providing students with diversified learning paths and rich experimental opportunities. The teaching mode will provide students with a brand-new learning experience and help to cultivate their experimental ability and innovative spirit. © 2025 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Electronics and Telecommunication: The Impact of AI and Machine learning 1

Revolutionizing Electronics and Telecommunication: The Impac...

引用

1st international conference on AIML-Applications for engineering and Technology, ICAET 2025

作者： Shinde, Suyash Satish Dr. Babasaheb Ambedkar Technological University Department of ExTC MH Lonere402103 India

ISBN: (数字)9798350355611

ISBN: (纸本)9798350355611

The integration of artificial intelligence (AI) and machine learning (ML) in Electronics and Telecommunication (E&TC) engineering is reshaping various applications, demonstrating significant transformative potential. This review explores the multifaceted roles of AI/ML across critical domains, including VLSI, 5G networks, IoT, antennas, emobility, satellite communication, and sensor networks. Key findings highlight AI/ML's capabilities in optimizing processes, enhancing predictive analytics, and facilitating automation, thereby improving operational efficiency, and fostering innovation. Despite these advancements, ethical challenges and data privacy concerns must be addressed to ensure transparency and accountability in AI/ML deployment. Prospects point towards the convergence of AI/ML with emerging technologies such as quantum computing and edge computing, promising new opportunities for innovation. Continued research should focus on enhancing model explainability and promoting interdisciplinary collaborations while exploring AI ethics and regulatory frameworks. Overall, the evolution of AI/ML in E&TC engineering holds the promise of revolutionizing industries and enhancing societal well-being, leading to a smarter, more connected future. © 2025 IEEE.

关键词： Satellite antennas

来源：评论

学校读者我要写书评

暂无评论

A Study of STEM teaching and learning in IT Industry Innovation and Practice Programs 24

A Study of STEM Teaching and Learning in IT Industry Innovat...

引用

7th international conference on Educational Technology Management, ICETM 2024

作者： Li, Funian Wu, Jin Liu, Jin Ma, Yajie Liu, Yimin Zuo, Tao School of Information Science and Engineering Wuhan University of Science and Technology Hubei Wuhan China

ISBN: (纸本)9798400717468

This article reviews the integration of STEM (Science, Technology, engineering, and Mathematics) educational principles into the Innovation and Practice of IT Industry course. STEM education emphasizes interdisciplinary learning and enhances students’ critical thinking, problem-solving, and teamwork skills through hands-on projects. The article begins by introducing the fundamental principles of STEM education, including interdisciplinary learning, experiential learning, critical thinking, and collaboration. It then explores how the IT industry innovation and practice course enhances the integration of STEM education through project-based learning (PBL), interdisciplinary STEM modules, and inquiry-based learning projects. The"Cybersecurity Challenge" case study illustrates how students apply STEM principles to solve real-world problems, improving their technical skills and teamwork abilities. Finally, the article concludes that the integration of STEM educational principles into the IT industry course prepares students comprehensively, equipping them with the knowledge, skills, and mindset needed to succeed in the modern technological landscape and contribute meaningfully to society. © 2024 Copyright held by the owner/author(s).

关键词： Collaborative learning

来源：评论

学校读者我要写书评

暂无评论

Application and optimization of networked battery maintenance mode in power system

Application and optimization of networked battery maintenanc...

引用

2024 international conference on Physics, Photonics, and Optical engineering, ICPPOE 2024

作者： Duan, Xuesong Zhang, Jinjia Li, Yuhao Li, Hongchao Wang, Wei State Grid Henan Electric Power Company State Grid Zhenping County Power Supply Company 474250 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

Traditional battery maintenance methods have some problems, such as low efficiency, difficult to find potential problems in time and accurately, which affect the stability and reliability of power system. This paper studies the application and optimization of networked battery maintenance mode in power system. By integrating sensor technology, network communication and data analysis, this mode realizes real-time monitoring and maintenance automation of battery state. Aiming at the challenges of lack of real-time and accuracy, optimization strategies such as deploying 5G base stations, adopting advanced algorithms and machine learning technologies are proposed. In addition, a big data analysis platform based on cloud computing is built, and machine learning and data mining are used to predict battery performance decline, and intelligent maintenance algorithms are developed. Experiments show that this mode improves voltage stability, capacity retention and internal resistance control, reduces maintenance cost and improves efficiency. These achievements provide theoretical and practical guidance for the stable operation of power system and efficient maintenance of battery. © 2025 SPIE.

关键词： Batteries Data transmission Resistance Data analysis Data modeling Machine learning Telecommunications Cloud computing Decision making Reliability

来源：评论

学校读者我要写书评

暂无评论

Construction and Application of a Big Data Virtual teaching Experiment System Based on Container Technology 24

Construction and Application of a Big Data Virtual Teaching ...

引用

8th international conference on Electronic Information Technology and Computer engineering, EITCE 2024

作者： Yang, Qunwei Guo, Liqing School of Information and Intelligent Manufacturing Xiamen Huaxia University Fujian Xiamen China General Education Center Xiamen Huaxia University Fujian Xiamen China

ISBN: (纸本)9798400710094

To enhance the efficiency and scalability of virtual teaching experiment systems, a big data virtual teaching experiment system was built using container technology. The system architecture was designed using a container cloud platform that combines Kubernetes and Docker, and big data processing frameworks were utilized to achieve automated scheduling of teaching tasks and resource optimization. Analysis shows that container technology not only improves resource utilization, system response speed, and concurrency processing capabilities, but also enhances the stability and scalability of teaching experiments. This system provides an efficient and flexible experimental platform for modern education, meeting the needs of large-scale data processing and personalized teaching. © 2024 Copyright held by the owner/author(s).

关键词： Spatio-temporal data

来源：评论

学校读者我要写书评

暂无评论

Combination kernel support vector machine based digital twin model for prediction of dyslexia in distributed environment 2nd

Combination kernel support vector machine based digital twin...

引用

2nd international conference on Next-Generation computing and Information Systems, ICNGCIS 2023

作者： Kareemullah, H. Quraishi, Aadam Prashant, G.C. Shabaz, Mohammad Kollu, Archana Sandhu, Mukta B.S.A Crescent Institute of Science and Technology Tamil Nadu Chennai India Interventional Treatment Institute Houston Texas USA McAllenTX United States USA University Texas Tech University Lubbock StateTX United States Model Institute of Engineering and Technology J&K Jammu India Pimpri Chinchwad College of Engineering and Research Ravet Pune India Skill Department of Computer Science and Engineering Shri Vishwakarma Skill University Haryana Palwal India

ISBN: (纸本)9781032738659

Dyslexia is a learning disability that is widespread and marked with a persistent problem with word identification and spelling. It has an impact on a person’s capacity to decipher letters and words accurately and fluently. Dyslexia has emerged as one of the most widespread learning disabilities, though the medical experts have not yet come out explaining its core causes. In this research, the prediction and classification of dyslexia is effectively carried out with the help of brain images which acts as input to machine learning techniques towards the prediction of dyslexia. The proposed dyslexic prediction model uses a Combination digital twin Kernel-based Support Vector Machine (KSVM) optimized by Whales algorithm. The combination kernel SVM shows better accuracy and less computational time compared to single kernel of SVM in a distributed environment. The proposed combinational kernel is less complex than deep learning models. © 2025 The Author(s).

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Prediction method for foreign language teaching achievement utilizing an enhanced BP Neural Network 2

Prediction method for foreign language teaching achievement ...

引用

2nd international conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Lin, Zhutian Fuzhou University of International Studies and Trade Fuzhou350202 China

ISBN: (纸本)9781510689053

With the rapid development of digital technology, online learning has become an important way for students, especially those majoring in foreign languages, to learn. To improve the accuracy of predicting student grades in foreign language teaching, a backpropagation neural network optimization model based on particle swarm optimization algorithm is proposed. Starting from the analysis of students' online learning behavior sequences, this study extracts the characteristics of online learning behavior sequences, optimizes the weights and biases of backpropagation neural networks through particle swarm optimization algorithm, and constructs a student performance prediction model. The experimental results showed that the mean square error of the proposed model in the third round of training was 0.1834, significantly lower than that of the comparison model. In practical applications, the model shows good performance in predicting the grades of three classes, with an average prediction accuracy of over 80% for Class 1, Class 2, and Class 3, which are 81.25%, 82.03%, and 86.07%, respectively. The experiment shows that the proposed model has a high prediction accuracy. The study provides an effective method for predicting grades for foreign language educators, which helps teachers adjust teaching strategies in a timely manner based on students' learning situations. © 2025 SPIE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Cloud Load Balancing Through the Cloud Armor in HTTP Load Balancer 5th

Cloud Load Balancing Through the Cloud Armor in HTTP Load Ba...

引用

5th international conference on Data Science, Machine learning and Applications

作者： Prashanth, Mallellu Sai Karnati, Ramesh Velpuru, Muni Sekhar Reddy, H. Venkateshwara Vardhaman Coll Engn Dept Comp Sci & Engn Hyderabad India Vardhaman Coll Engn Dept Informat Technol Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

The combination of an HTTP Load Balancer and Cloud Armor in cloud computing environments provides a robust solution for ensuring high availability and security for web applications. An HTTP Load Balancer distributes incoming traffic across multiple backend instances, optimizing performance and scalability. Cloud Armor, a security service in the cloud platform, adds an additional layer of protection by implementing access control rules and mitigating DDoS attacks. This abstract explores the detailed procedure of setting up anHTTP Load Balancer with Cloud Armor in Google Cloud Platform (GCP), including the configuration of instance groups, firewall rules, backend services, and load balancer settings. The integration of Cloud Armor allows the application to benefit from advanced security features, such as IP-based access controls and traffic filtering, thereby safeguarding against malicious activities. By implementing an HTTP Load Balancer with Cloud Armor, organizations can ensure reliable and secure delivery of web applications to their users in the cloud environment.

关键词： Cloud computing Load Balancer Firewall GCP Armor

来源：评论

学校读者我要写书评

暂无评论

Noise Pollution Control System for Effective learning and teaching 3

Noise Pollution Control System for Effective Learning and Te...

引用

3rd international conference on Intelligent Systems, Advanced computing, and Communication, ISACC 2025

作者： Elavarasi, K. Aravindharaaj, B. Chandru, J. IFET College of Engineering Information Technology India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Noise pollution poses a significant barrier to effective learning and teaching, impacting concentration, retention, and overall academic performance. This paper explores the implementation of a comprehensive Noise Pollution Control System (NPCS) designed to mitigate disruptive auditory distractions in educational environments. The NPCS integrates sound insulation technologies, real-time noise monitoring, and adaptive acoustic treatments to create a conducive learning atmosphere. Through a combination of quantitative measurements and qualitative assessments, the system aims to identify noise sources, evaluate their impact on students and educators, and implement targeted interventions. Initial findings suggest that reduced noise levels correlate with improved student engagement and academic outcomes. By fostering a quieter and more focused learning environment, the NPCS seeks to enhance the overall educational experience, emphasizing the critical relationship between ambient sound conditions and effective teaching methodologies. This paper highlights best practices, challenges, and future directions for noise management in schools and universities, aiming to provide actionable insights for educators, administrators, and policymakers. It develops an integrated classroom noise monitoring system that combines real-time noise level detection with automated fan control and mobile application notifications. The system employs a noise sensor connected to a microcontroller to continuously monitor the classroom's ambient noise levels. When the noise exceeds a predefined threshold, the system turns off the classroom fan to help reduce the noise. Additionally, it sends real-time notifications to a mobile application, providing updates on the noise levels and alerting teachers and school administrators to disturbances. This dual approach - automated fan control and mobile notifications - ensures an optimal learning environment by minimizing noise disruptions and keeping relevant

关键词： learning noise level detection Noise pollution teaching

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500页 << < 7 8 9 10 11 12 13 14 15 16 > >>

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：