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

7,232 篇 会议
136 篇 期刊文献
43 册 图书

馆藏范围

7,411 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,718 篇 工学
- 4,668 篇 计算机科学与技术...
- 3,149 篇 软件工程
- 903 篇 信息与通信工程
- 608 篇 控制科学与工程
- 510 篇 生物工程
- 443 篇 电气工程
- 303 篇 生物医学工程（可授...
- 300 篇 机械工程
- 273 篇 光学工程
- 253 篇 电子科学与技术（可...
- 192 篇 仪器科学与技术
- 187 篇 化学工程与技术
- 158 篇 安全科学与工程
- 152 篇 建筑学
- 142 篇 动力工程及工程热...
- 138 篇 交通运输工程
2,228 篇 教育学
- 2,220 篇 教育学
1,940 篇 理学
- 1,024 篇 数学
- 537 篇 生物学
- 450 篇 物理学
- 290 篇 统计学（可授理学、...
- 203 篇 化学
- 154 篇 系统科学
1,456 篇 管理学
- 858 篇 管理科学与工程(可...
- 679 篇 图书情报与档案管...
- 558 篇 工商管理
323 篇 法学
- 286 篇 社会学
300 篇 医学
- 264 篇 临床医学
- 227 篇 基础医学(可授医学...
- 140 篇 药学(可授医学、理...
116 篇 经济学
68 篇 农学
29 篇 文学
22 篇 艺术学
16 篇 军事学

主题

379 篇 students
356 篇 education
266 篇 technological in...
223 篇 computer science
179 篇 computer science...
175 篇 engineering educ...
110 篇 teaching
103 篇 artificial intel...
88 篇 deep learning
82 篇 training
80 篇 computer aided i...
78 篇 computer program...
68 篇 curricula
67 篇 educational tech...
66 篇 educational inst...
64 篇 computer vision
63 篇 big data
63 篇 information tech...
62 篇 software enginee...
61 篇 internet of thin...

机构

38 篇 université de st...
35 篇 università di ca...
35 篇 infn sezione di ...
35 篇 north-west unive...
35 篇 infn sezione di ...
35 篇 institut univers...
35 篇 national centre ...
35 篇 tno technical sc...
35 篇 university moham...
35 篇 infn sezione di ...
34 篇 in2p3 lpc campus...
34 篇 nikhef national ...
34 篇 university würzb...
34 篇 ncsr demokritos ...
34 篇 lpc caen normand...
34 篇 università di sa...
33 篇 university of jo...
33 篇 infn sezione di ...
33 篇 comenius univers...
33 篇 university of am...

作者

44 篇 chen a.
38 篇 ferrara g.
38 篇 ardid m.
38 篇 calvo d.
37 篇 gagliardini s.
37 篇 kalekin o.
37 篇 díaz a.f.
37 篇 boumaaza j.
37 篇 coleiro a.
37 篇 enzenhöfer a.
37 篇 celli s.
37 篇 dornic d.
37 篇 de martino b.
37 篇 carretero v.
37 篇 ardid s.
37 篇 bendahman m.
37 篇 brunner j.
36 篇 carenini f.
36 篇 di palma i.
35 篇 huang f.

语言

7,165 篇 英文
217 篇 其他
96 篇 中文
2 篇 葡萄牙文
1 篇 德文
1 篇 西班牙文

检索条件"任意字段=25th Conference on Innovation and Technology in Computer Science Education"

共 7411 条记录，以下是131-140 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：

DigiVillage Chronicles: A Serious Game Designed to Improve Digital Skills for Accessing Public Services 17

DigiVillage Chronicles: A Serious Game Designed to Improve D...

引用

17th International conference on computer Supported education, CSEDU 2025

作者： Fronza, Ilenia Parida, Shiva Saket Mehboob, Aziya Free University of Bozen Bolzano Italy

ISBN: (纸本)9789897587467

Smart villages have transformed rural areas by using innovative solutions to provide improved public services. However, citizens often struggle to access these services due to a lack of digital skills. To address this issue, we present DigiVillage Chronicles, a serious game designed for young adults aged 18 to 35 to enhance their digital skills to access public services in smart villages. the game is set in a fictional smart village where the player participates in digital activities related to public services and gains insight into navigating the platforms offering these services in real life. the activities include browsing and applying for jobs, transferring money online, and booking a doctor's appointment. In this paper, we present a proof of concept for the game and evaluate its quality using criteria related to both the serious and game components, as well as the balance between these elements. Copyright © 2025 by SCITEPRESS - science and technology Publications, Lda.

关键词： Engineering education

来源：评论

学校读者我要写书评

暂无评论

Manna Methodology: A Novel Approach to education 5.0 through Learning and Socio-Emotional Assessment in IoD Bootcamps 17

Manna Methodology: A Novel Approach to Education 5.0 Through...

引用

17th International conference on computer Supported education, CSEDU 2025

作者： Madrigar, T.T. Calvo, R. Ruiz Aylon, L.B. Manna Ecosystem State University of Maringá Brazil

ISBN: (纸本)9789897587467

this study explores the practical application of education 5.0 through a methodology that integrates exponential technologies, emphasizing the Internet of Drones (IoD) to enhance students' technical and socio-emotional competencies. Conducted within the Manna Ecosystem-Brazil's largest platform for teaching, research, and innovation in Exponential Technologies-the study evaluates the impact of personalized pedagogical approaches in public schools. the proposed methodology utilizes David Kolb's learning style model (Accommodator, Converger, Assimilator, and Diverger) and specific socio-emotional competencies, including emotional awareness, emotional regulation, and relationship skills. Based on these learning profiles and participants' socio-emotional competencies, teams were organized with complementary profiles, using Artificial Intelligence to create personalized groups that promoted greater engagement and synergy, enhancing performance in innovation activities. Four case studies were conducted, comparing experimental groups formed with the personalized methodology and control groups organized randomly, through diagnostic, formative, and summative assessments. Statistical analyses revealed that the experimental group showed significantly superior performance compared to the control group, highlighting the potential of the methodology in creating an interactive and collaborative learning environment. these findings reinforce the relevance of integrating exponential technologies, such as IoD, with active and adaptive teaching methodologies, contributing to the advancement of education 5.0 and preparing students for the challenges of the 21st century. Copyright © 2025 by SCITEPRESS - science and technology Publications, Lda.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Boundary Extraction for Unseen Entities Prediction Using Bidirectional Long Short-Term Memory 17th

Boundary Extraction for Unseen Entities Prediction Using Bid...

引用

17th International conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2024

作者： Kuntichod, Watcharet Lee, Wilaiporn Prayote, Akara Department of Computer and Information Science King Mongkut’s University of Technology North Bangkok Bangkok10800 Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok10800 Thailand

ISBN: (纸本)9789819606917

Named Entities Recognition (NER), which is a task to identify and classify named entities within text, has gained significant popularity in recent years. this task often requires pre-labeled data and large datasets to achieve high accuracy. A key challenge in NER is extracting unseen entities that have not been previously labeled or are new terms, posing difficulties in adapting to rapidly changing data and the emergence of new vocabularies. In this article, we propose a model utilizing Bidirectional Long Short-Term Memory (Bi-LSTM) for boundary extraction. the model aims to enhance the detection and labeling of unseen entities by leveraging Bi-LSTM's strengths in capturing contextual information and accurately identifying entities boundaries. the model demonstrates high potential in identifying unseen names without pre-labeling. Our study demonstrates the model's showcasing its effectiveness in discovering unlabeled words and unseen entities in thai language datasets. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Labeled data

来源：评论

学校读者我要写书评

暂无评论

Impact of AI-Powered Platforms on Academic Learning: Exploring the Purpose and Evaluation Used in the Learning Process 18th

Impact of AI-Powered Platforms on Academic Learning: Explori...

引用

18th International KES conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2024

作者： Scutelnicu, Liviu-Andrei Ceobanu, Marius Ciprian Faculty of Computer Science lexandru Ioan Cuz University of Iași Iași Romania Faculty of Psychology and Educational Sciences "Al. I. Cuza" University of Iași Iasi Romania Institute for Computer Science Iași Branch Romanian Academy Iași Romania

ISBN: (纸本)9789819764686

In an era where artificial intelligence (AI) is reshaping various facets of life, its integration into academic learning has become a focal point of educational innovation. the study explores the impact of AI-powered platforms on academic learning, particularly focusing on their purpose and the methods used for evaluating learning processes. Drawing upon a comprehensive review of recent literature and empirical data from a survey of 610 individuals, this research provides insights into how AI technologies are being adopted in educational settings and their effects on learning outcomes. the study synthesizes findings from various scholarly articles, highlighting the adoption and effectiveness of AI in enhancing administrative functions, teaching quality, and personalized learning experiences. It also delves into the challenges and opportunities presented by AI in education, including ethical considerations and the balance between learner-centered and platform-centered approaches. Empirical data from the survey further enriches the study, offering a real-world perspective on the reception and perceived impact of AI-powered educational tools. this data provides a unique lens through which the practical implications of AI in education are examined, considering factors such as learner engagement, satisfaction, and academic performance. In conclusion, this research not only underscores the transformative potential of AI in academic learning but also addresses the complexities and nuances involved in its integration. It aims to contribute to the ongoing discourse on AI in education, providing valuable insights for educators, policymakers, and technology developers. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Native vs Non-native Language Prompting: A Comparative Analysis 25th

Native vs Non-native Language Prompting: A Comparative Analy...

引用

25th International conference on Web Information Systems Engineering, WISE 2024

作者： Kmainasi, Mohamed Bayan Khan, Rakif Shahroor, Ali Ezzat Bendou, Boushra Hasanain, Maram Alam, Firoj Qatar University Doha Qatar University of Doha for Science and Technology Doha Qatar Liverpool John Moores University Doha Qatar Carnegie Mellon University in Qatar Ar-Rayyan Qatar Qatar Computing Research Institute Ar-Rayyan Qatar

ISBN: (纸本)9789819605750

Large language models (LLMs) have shown remarkable abilities in different fields, including standard Natural Language Processing (NLP) tasks. To elicit knowledge from LLMs, prompts play a key role, consisting of natural language instructions. Most open and closed source LLMs are trained on available labeled and unlabeled resources-digital content such as text, images, audio, and videos. Hence, these models have better knowledge for high-resourced languages but struggle with low-resourced languages. Since prompts play a crucial role in understanding their capabilities, the language used for prompts remains an important research question. Although there has been significant research in this area, it is still limited, and less has been explored for medium to low-resourced languages. In this study, we investigate different prompting strategies (native vs. non-native) on 11 different NLP tasks associated with 11 different Arabic datasets (8.7K data points). In total, we conducted 198 experiments involving 3 open and closed LLMs (including an Arabic-centric model), and 3 prompting strategies. Our findings suggest that, on average, the non-native prompt performs the best, followed by mixed and native prompts. All prompts will be made available to the community through the LLMeBench (https://***/) framework. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Translation (languages)

来源：评论

学校读者我要写书评

暂无评论

Temporal Preference and Knowledge-Aware Collaborative Attentive Network for Electrical Material Recommendation 25th

Temporal Preference and Knowledge-Aware Collaborative Atten...

引用

25th International conference on Web Information Systems Engineering, WISE 2024

作者： Shen, Jie Chen, Lei Zhu, Guixiang Cao, Jie Qin, Weiping Chen, Yihan Lu, Yiheng College of Information Engineering Nanjing University of Finance and Economics Nanjing China College of Information Science and Technology Nanjing Forestry University Nanjing China School of Management Hefei University of Technology Hefei China School of Business Administration Nanjing University of Finance and Economics Nanjing China

ISBN: (纸本)9789819605699

In the field of electrical power material management, it is paramount that users receive accurate recommendations regarding the electrical power materials they require. In recent years, increasing attention has been given to Knowledge Graph-based recommender systems for their capacity to effectively tackle cold start and data sparsity challenges. However, many of these systems still lack the capability to consider users’ historical behavioral patterns and model dynamic changes in user interests. To remedy this gap, the paper proposes an Electrical Material Recommendation model based on Temporal Preference and Knowledge aware collaborative attentive network, named EMR-TPK. EMR-TPK establishes associations between users and materials through knowledge graph embedding along with an attention mechanism. It utilizes a temporal dynamic attention network to characterize users’ temporal interests and historical behavioral patterns. By incorporating these patterns into the model, more accurate material recommendations can be generated. We conducted extensive experiments across three datasets: electric power materials, music, and books. Our results indicate that the EMR-TPK model exceeds advanced methods in recommendation accuracy, with AUC improvements of 0.36% for electric power materials, 0.95% for music, and 2.54% for books. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

Sentiment classification of MOOC courses by merging local context focus and Bi-directional gated recurrent unit 4

Sentiment classification of MOOC courses by merging local co...

引用

4th International conference on computer Vision, Application, and Algorithm, CVAA 2024

作者： Jin, Jiayong Dong, Yongquan He, Bugui Zhou, Nan Yan, Linke School of Computer Science and Technology Jiangsu Normal University Jiangsu Xuzhou221116 China Xuzhou Cloud Computing Engineering Technology Research Center Jiangsu Xuzhou221116 China Jiangsu Engineering Technology Research Center of ICT in Education Jiangsu Xuzhou221116 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Existing MOOC review sentiment classification methods do not fully utilize the local context information associated with aspect, and they ignore the connection between local and global contexts, while resulting in modeled features that lack the information connection between aspect and contexts. In this paper, we propose a model that incorporates Local Context Focus (LCF) and Bi-Directional Gated Recurrent Unit (Bi-GRU). First, the BERT model is used to dynamically encode course reviews. then, global semantic features are extracted using the Bi-GRU model to strengthen the connection between the preceding and following texts. then, the LCF model based on multi-head self-attention is used to obtain local contextual features and splice them with global semantic features. Finally, the Softmax function is utilized to output the classification results. the experimental accuracies of the proposed model on the three MOOC course review datasets reach 97.96%, 96.76%, and 94.16%, respectively, which are improved by 0.70%, 0.42%, and 0.03% over the suboptimal baseline model. the proposed model significantly improves the effectiveness of MOOC course review sentiment classification, and provides a useful reference for the optimization and improvement of MOOC courses. © 2025 SPIE.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

ICCE 2017 - 25th International conference on computers in education: technology and innovation: computer-Based educational Systems for the 21st Century, Extended Summary Proceedings

ICCE 2017 - 25th International Conference on Computers in Ed...

引用

25th International conference on computers in education: technology and innovation: computer-Based educational Systems for the 21st Century, ICCE 2017

ISBN: (纸本)9789869401241

the proceedings contain 13 papers. the topics discussed include: a taxonomy of Minecraft activities for STE;learning to think critically: technologies for debiasing;functions of cognitive group awareness tools;investigation on the shared mental model and team performance of teacher design team for technology integration in education;authentic learning in a technology-rich classroom: innovative education in the classroom;the impact of analytics within the institutions of higher education in New Zealand;temporal aspect analysis of video log on flipped classroom;analysis of students' peer assessment processes;supporting face-to-face class with mobile device;exploring the relationship between gameplay self-efficacy and anxiety when playing the puzzle game;effect of immersive digital gaming experience on elementary students' l2 learning;exploring the effects of interactive game with situational animation to facilitate primary students in learning nature and life science;and measuring stress in doctoral research: a case for reality mining across psychological, physiological and environmental dimensions.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Reliability-Enhanced Microservice Deployment 18th

Reliability-Enhanced Microservice Deployment

引用

18th International conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Shi, You Yang, Yuye Yi, Changyan Wang, Junyi College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Key Lab of Cognitive Radio and Information Processing Ministry of Education Guilin University of Electronic Technology Guilin China

ISBN: (纸本)9783031714665

Container-based microservice provisioning, with its elasticity in terms of the layered structure, enables the sharing of common layers among different edge computing tasks, both within and across edge servers (ES). However, due to the potential hardware breakdowns, each ES may prone to failures, affecting its lifetime (i.e., the time-length that an ES works continuously without interruptions), and in turn leading to the collapse of their hosted/provided microservices or the other ESs’ microservices requesting common layers from it. Obviously, if such an issue cannot be well addressed, the reliability of microservices in serving corresponding tasks may be severely reduced. In this paper, we study the microservice deployment optimization with layer sharing for maximizing the system-wide reliability while satisfying all tasks’ delay requirements. Considering dynamic task generations and the asynchronization of various decision variables with different triggers, we design an online optimization algorithm by leveraging an improved Lyapunov technique integrating randomized rounding and Lagrangian method, which iteratively solves the problem over different timescales. theoretical analyses and simulations evaluate the performance of the proposed solution, and show its superiority over counterparts. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Lagrange multipliers

来源：评论

学校读者我要写书评

暂无评论

Integrated Word2Vec-based Speech Annotations for Enhanced EEG Decoding of Speech Intentions 13

Integrated Word2Vec-based Speech Annotations for Enhanced EE...

引用

13th International Winter conference on Brain-computer Interface, BCI 2025

作者： Jang, Se-Na Park, Hyeong-Yeong Kim, Seong-Wook Yu, Seong-Hyun Lee, Minji Jeong, Ji-Hoon Dept. Computer Science Chungbuk National University Cheongju Korea Republic of Dept. Biomedical Software Engineering The Catholic University of Korea Bucheon Korea Republic of

ISBN: (纸本)9798331521929

Brain-computer interface (BCI) technology has promising applications as an intuitive communication tool and in fields such as language rehabilitation. this study aims to decode human speech intentions by analyzing EEG signals recorded during actual and imagined speech. EEG data were collected using a 64 channels system, with preprocessing to remove artifacts. Automatic speech recognition (ASR) was used to extract precise speech onset times, generating time-specific speech annotations corresponding with EEG data. Pretrained Word2Vec embeddings were integrated to provide semantic context, combining neural signals with high-level linguistic features. Support vector machine (SVM), linear discriminant analysis (LDA) were employed for decoding. the results demonstrate that integrating speech annotations improves decoding accuracy, even for imagined speech, highlighting the potential of BCI technology for advanced applications in communication and rehabilitation. © 2025 IEEE.

关键词： Semantics

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 << < 10 11 12 13 14 15 16 17 18 19 > >>

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：