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81-90 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：

Industrial IoT Smart Manufacturing Systems based on Cloud computing Energy Efficiency Analysis using Machine learning Algorithms 3

Industrial IoT Smart Manufacturing Systems based on Cloud Co...

引用

3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Chinnasamy, P. Khan, Patan Feridoz Sasikala, C. Swathi, Mavalluru Kumar, M. Prema Yadav, Ajay Kumar Kalasalingam Academy of Research and Education School of Computing Department of Computer Science and Engineering Tamilnadu India Mohan Babu University School of Computing Department of Computer Science and Engineering Andhra Pradesh Tirupati India Dept of Cse Andhra Pradesh Ananthapuramu India Audisankara College of Engineering and Technology Andhra Pradesh India Dept. of Ece Andhra Pradesh Bhimavaram India United Institute of Management Department of Computer Application Prayagraj India

ISBN: (纸本)9798331509675

With open connectivity and emergent computing, the Industrial Internet of Things (IIoT) combined with cloud computing resources provides significant breakthroughs in the field of industrial automation. These developments lead to the evolution of supplemental services, which improve automation in the production and industrial sectors. This research proposes novel technique in smart manufacturing system based on cloud computing with IIoT in energy efficiency using machine learning. Here the smart manufacturing process has been analysed based on IIoT with cloud computing network, where the energy efficiency is analysed using virtual machine-based reinforcement markov chain based linear regression. Experimental analysis has been carried out in terms of latency, energy efficiency, task response time, accuracy. proposed technique obtained 97% of Latency, 95% of Energy efficiency, 98% of Accuracy, 94% of Task response time. © 2025 IEEE.

关键词： Smart manufacturing

来源：评论

学校读者我要写书评

暂无评论

Optical reservoir computing based on the bagging trees 4

Optical reservoir computing based on the bagging trees

引用

4th international conference on Advanced Manufacturing Technology and Electronic Information, AMTEI 2024

作者： Xiao, Mujun Zhang, Ailing Wang, Chao Tianjin Key Laboratory of Thin Film Electronics and Communication Devices Engineering Research Center for Optoelectronic Devices and Communication Technology Ministry of Education School of Integrated Circuit Science and Engineering Tianjin University of Technology Tianjin300384 China School of Engineering and Digital Arts University of Kent Canterbury United Kingdom

ISBN: (数字)9781510688247

ISBN: (纸本)9781510688230

In traditional optical reservoir computing, the least squares method are commonly used to train the output weights for regression tasks. Although these algorithms are highly versatile, their training efficiency and accuracy are somewhat inferior compared to current algorithms. Bagging trees, an ensemble learning method, works by resampling the dataset to train multiple models and then combining the predictions of these models, thus improving the stability and accuracy of the final prediction. By combining optical reservoir computing with the bagging trees, both the prediction accuracy and training efficiency are greatly improved, with the highest R-squared prediction reaching 99.56%. © 2025 SPIE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

27th international conference on Interactive Collaborative learning, ICL 2024

27th International Conference on Interactive Collaborative L...

引用

27th international conference on Interactive Collaborative learning, ICL 2024

ISBN: (纸本)9783031856518

The proceedings contain 244 papers. The special focus in this conference is on Interactive Collaborative learning. The topics include: Research and Practical Implementation of a Framework for teaching Students the Development of a Virtual Laboratory;adapting Laboratory Sessions to a HyFlex Environment;digital learning Environment for Mathematical Disciplines at Universities in Times of War;transdisciplinary Ecoenvironment of the System of Information and Analytical Support for the training of Scientific and Pedagogical Staff;exploring the Potential of the Minecraft Game as a Tool for Personality Development and Preparation for an engineering Career;modelling the Content of the Formation of Virtual Mobility of the Food Industry Specialists;gamification and Organizational Justice: A Business Approach;evaluation of Digitalization Initiatives in the Academic English Study Course for engineering Post-Graduate Students;Work-in-Progress: VR/AR Interactive Framework to Enhance Communication in engineering Education;development of Youth Activity in the Local Community: Experience and Current Challenges;triple Loop learning for Effective and Efficient Corporate Governance and Management Education;aligning Computer engineering Curricula to Meet Digital Economy Requirements: Interdisciplinary Aspect;the Invisible World of Gas Molecules in the Light of Mixed Reality. Educating Prospective Teachers;future Skills in Psychology, Software engineering and Healthcare and Their Impact on Higher Education;the Practical Reality of Effecting Change to Pedagogies for Global Responsibility in engineering Education;Application of the S-PPED-C learning Model for Developing Embedded teaching Innovations;motivational Factors of Two-Year Technical College Students and Graduates: A Comparative Analysis;undergraduate Students’ Conceptual Difficulties: Analog and Digital Circuits;learning Styles and Ontological Approach for Information Security e-learning System.

关键词：

来源：评论

学校读者我要写书评

暂无评论

27th international conference on Interactive Collaborative learning, ICL 2024

27th International Conference on Interactive Collaborative L...

引用

27th international conference on Interactive Collaborative learning, ICL 2024

ISBN: (纸本)9783031856488

关键词：

来源：评论

学校读者我要写书评

暂无评论

27th international conference on Interactive Collaborative learning, ICL 2024

27th International Conference on Interactive Collaborative L...

引用

27th international conference on Interactive Collaborative learning, ICL 2024

ISBN: (纸本)9783031835223

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adoption of GenAI for Education Domain

Adoption of GenAI for Education Domain

引用

2025 international conference on computing for Sustainability and Intelligent Future, COMP-SIF 2025

作者： Neela, N. Manjunath, T.N. Nishitha, R. Janavi, P. Bhat, Pratheeksha B.M.S. Institute of Technology and Management Department of Information Science and Engineering Bengaluru India

ISBN: (纸本)9798331538538

The rise of GenAI appears to be a turning point in the shaping of the education industry as it brings forth the ability for various civilisations throughout the globe to integrate different personalised forms of teaching and learning principles within themselves. For this purpose, the capabilities of GenAI in educational systems are demonstrated by implementing web-based application called EduFab Course Generator. As for the technologies that were applied for the development of the application, these were ***, React, and Tailwind CSS. AI materials for creating course materials are made available by the Gemini API, along with Drizzle for the AI Course Generator database management and Clerk for secure authentication management. According to scale requirements of the course, EduFab Course Generator enables users to teach new lessons and topics which also creates the scene for GenAI powered alternative curriculum innovations. To secure the user, Clerk simplifies user management while making authentication detailed. To enrich and enhance the experience of the user at each point in time, the Gemini API develops various text formats like videos, exams, and vocational experience as learning materials for other courses. For securing the user's customized documents along with the user activity history, Drizzle supports flexible and type compliant backend database operations which enable and enhance end-user experience © 2025 IEEE.

关键词： Curricula

来源：评论

学校读者我要写书评

暂无评论

Simplification of Image Segmentation and Object Detection teaching Materials 25th

Simplification of Image Segmentation and Object Detection Te...

引用

25th international conference on Intelligent Data engineering and Automated learning

作者： Emersic, Ziga Hrastnik, Gregor Peer, Natasa Meh Kirn, Vasja Lev Justin, Aljaz Videnovic, Jovana Markicevic, Luka Peer, Peter Univ Ljubljana Fac Comp & Informat Sci Ljubljana Slovenia Sch Ctr Velenje Velenje Slovenia

ISBN: (纸本)9783031777370;9783031777387

The recent quick progress in artificial intelligence including deep learning in computer vision, opened the need for early AI education in schools. This paper presents the creation of a computer vision curriculum as a part of AIM@VET (Artificial Intelligence Modules for Vocational Education and Training) EU project for different levels of students with emphasis on pre-university students and teacher's feedback that served as a feedback loop for the development of the materials. Moreover, the pre-feedback materials that proved to be too challenging for pre-university students were forked into additional version for early university students. The course material is available in traditional formats and Python notebooks, integrating theoretical concepts with practical coding exercises. Both teacher and student versions are provided, utilizing interactive tools and open-source libraries for hands-on learning.

关键词： Computer vision Object Detection Image Segmentation teaching Material

来源：评论

学校读者我要写书评

暂无评论

Addressing Data Imbalance in Machine learning: Challenges and Approaches 6

Addressing Data Imbalance in Machine Learning: Challenges an...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Langote, Meher Zade, Nikita Gundewar, Swapnil Artificial Intelligence and Data Science Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research Maharashtra Sawangi India Artificial Intelligence and Machine Learning Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research Maharashtra Sawangi India

ISBN: (纸本)9798331522667

A key difficulty of dealing with imbalanced datasets is that machine learning models are trained to favor the majority class and therefore perform poorly when it comes to a minority class classification. In this paper, we consider the following methods of tackling the issue of the over-representation of a class;random oversampling, undersampling, SMOTE, cost-sensitive learning, and ensemble methods. Comparing them, we assess the performance of each of these techniques within different classifiers. Techniques including SMOTE together with combined methods including Random Forests also show higher capacity in minority class predictions. However, problems such as overfitting and the increase in the computational load are not escapable yet. We briefly recap the strengths and weaknesses of each approach and propose potential refinements including a combination of both methods and dynamic resampling methods to serve as the next steps toward improving the model. Thereby, our results draw attention to the necessity of accurate methods for handling the class imbalance, which will further yield more accurate and fair machine learning solutions across a variety of applications. © 2025 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

27th international conference on Interactive Collaborative learning, ICL 2024

27th International Conference on Interactive Collaborative L...

引用

27th international conference on Interactive Collaborative learning, ICL 2024

ISBN: (纸本)9783031835193

关键词：

来源：评论

学校读者我要写书评

暂无评论

Study on learning path optimization based on reinforcement learning and collaborative filtering 2

Study on learning path optimization based on reinforcement l...

引用

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

作者： Liao, Wenyi Guangxi Institute of Foreign Languages Guangxi Nanning530222 China

ISBN: (纸本)9781510689053

With the development of educational informatization, the application of intelligent instructional software in English education has gradually become a focal point of attention. However, traditional teaching methods fail to meet the needs of personalized learning, and there is an urgent need to improve learning efficiency. To address this issue, this study proposes a learning path planning algorithm based on reinforcement learning and an improved collaborative filtering recommendation algorithm. Through the construction of dynamic knowledge graphs and personalized recommendation technology, intelligent optimization of students' learning paths and resources is achieved. Experimental results indicate that the improved learning path planning algorithm can significantly increase students' mastery rate of knowledge points to 78.6%, with a learning efficiency of 4.8% per hour. The recommendation algorithm achieves a maximum F1 score of 91.0%, with a recommendation time optimization ratio of 20.8% and an average student score improvement rate of 27.3%. The research findings validate the effectiveness of intelligent instructional software in personalized learning. In summary, through optimized algorithm design, the study can effectively enhance the level of intelligence in English language teaching software, providing important technical support for the personalized development of future educational systems. © 2025 SPIE.

关键词： Contrastive 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500页 << < 5 6 7 8 9 10 11 12 13 14 > >>

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：