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

16,942 篇 会议
424 篇 期刊文献
114 册 图书
1 篇 学位论文

馆藏范围

17,480 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

10,197 篇 工学
- 8,472 篇 计算机科学与技术...
- 7,114 篇 软件工程
- 1,223 篇 电气工程
- 1,146 篇 控制科学与工程
- 907 篇 信息与通信工程
- 643 篇 机械工程
- 395 篇 生物工程
- 312 篇 电子科学与技术（可...
- 308 篇 生物医学工程（可授...
- 294 篇 土木工程
- 276 篇 建筑学
- 260 篇 化学工程与技术
- 239 篇 材料科学与工程（可...
- 213 篇 安全科学与工程
- 202 篇 仪器科学与技术
- 173 篇 动力工程及工程热...
2,891 篇 管理学
- 1,922 篇 管理科学与工程(可...
- 1,214 篇 图书情报与档案管...
- 991 篇 工商管理
2,336 篇 理学
- 1,340 篇 数学
- 424 篇 生物学
- 413 篇 物理学
- 328 篇 系统科学
- 311 篇 统计学（可授理学、...
- 215 篇 化学
915 篇 教育学
- 909 篇 教育学
316 篇 医学
- 260 篇 临床医学
- 228 篇 基础医学(可授医学...
265 篇 法学
- 221 篇 社会学
252 篇 经济学
- 246 篇 应用经济学
83 篇 农学
55 篇 文学
15 篇 军事学
7 篇 艺术学
1 篇 哲学

主题

1,552 篇 software enginee...
1,237 篇 software
1,118 篇 knowledge engine...
877 篇 application soft...
647 篇 knowledge based ...
547 篇 computer science
519 篇 knowledge manage...
430 篇 data mining
412 篇 software systems
399 篇 programming
391 篇 ontologies
365 篇 computer archite...
338 篇 education
267 篇 educational inst...
266 篇 artificial intel...
251 篇 computer aided s...
238 篇 software design
230 篇 semantics
208 篇 project manageme...
208 篇 software archite...

机构

49 篇 state key labora...
48 篇 college of compu...
34 篇 school of inform...
32 篇 school of comput...
29 篇 nanjing univ sta...
29 篇 school of softwa...
28 篇 school of comput...
26 篇 school of softwa...
25 篇 state key labora...
23 篇 college of infor...
23 篇 school of comput...
22 篇 university of ch...
22 篇 college of compu...
21 篇 school of softwa...
19 篇 national enginee...
19 篇 school of softwa...
19 篇 school of softwa...
19 篇 school of electr...
18 篇 software enginee...
18 篇 school of softwa...

作者

24 篇 biffl stefan
23 篇 jin zhi
22 篇 wang qing
17 篇 liu yang
15 篇 far behrouz h.
15 篇 liu jie
15 篇 wang wei
14 篇 li li
14 篇 washizaki hirono...
14 篇 xu baowen
13 篇 wei liu
12 篇 zamani bahman
12 篇 almeida hyggo
11 篇 zhang hongyu
11 篇 lu lu
11 篇 lu jie
11 篇 wotawa franz
10 篇 qing wang
10 篇 shen beijun
10 篇 wu huisi

语言

17,119 篇 英文
257 篇 其他
80 篇 中文
25 篇 西班牙文
7 篇 葡萄牙文
2 篇 德文
2 篇 法文
2 篇 土耳其文
1 篇 俄文
1 篇 斯洛伐克文

检索条件"任意字段=Knowledge-Based Software Engineering Conference"

共 17481 条记录，以下是701-710 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：

ESSE 2023 - Proceedings of the 4th European Symposium on software engineering

ESSE 2023 - Proceedings of the 4th European Symposium on Sof...

引用

4th European Symposium on software engineering, ESSE 2023

ISBN: (纸本)9798400708817

The proceedings contain 14 papers. The topics discussed include: difficulties in object-oriented design and its relationship with abstraction: a systematic review of literature;a practical failure prediction model based on code smells and software development metrics;a question answering software for assessing AI policies of OECD countries;transforming tourism experience: AI-based smart travel platform;towards a globally distributed testing network in the automotive industry;imposing cache: busy-aware cooperative data caching in edge-cloud environments;using quantum Monte Carlo simulation to price complicated derivatives in the big data environment;study on the complexity and multidimensional proximity of knowledge and technology cooperation networks among higher educational institutions within the Yangtze River Delta;and efficient pneumonia detection in chest x-ray images: leveraging lightweight transfer learning for improved accuracy and practicality.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on Furniture for the Elderly Design based on Kansei engineering 12

Research on Furniture for the Elderly Design Based on Kansei...

引用

12th International conference on Innovation, knowledge, and Management, ICIKM 2023

作者： Zheng, Yue Wang, Xuan Zhang, Caiyu Li, Xianlu Construction Institute Guangdong Technology College Zhaoqing China

ISBN: (纸本)9798350303315

To explore the application of elderly-friendly furniture design through Kansei engineering theory to improve the quality of life of the elderly in China and to provide ideas and references for advancing the progress of elderly-related industries. Firstly, from the perspective of furniture design framework, the study discussed how to integrate the abstract concept of 'perceptivity' into the design process of elderly-friendly furniture by combining the theory of kansei engineering, and formed an analytical framework containing research steps and logical relationships. After that, a number of selected samples were scored according to the perceptual vocabulary by the semantic differential method, and the mean values were imported into SPSS software to analyze and summarize the main vocabulary influencing elderly-friendly furniture. Finally, the concept of 'perceptivity' was visualized and expressed in the design of elderly-friendly furniture under the guidance of perceptual vocabulary and its corresponding data analysis values. based on the results of Kansei engineering theory, good feedback has been received on the design expressions that incorporate the shortcomings of furniture for the elderly design in the market. It has been proven to be feasible for elderly-friendly furniture and provides a new design idea for future related furniture design. Improve the humanization and acceptability of furniture, and promote the development and innovation of the furniture industry. © 2023 IEEE.

关键词： Product design

来源：评论

学校读者我要写书评

暂无评论

Visualization of automated program repair focusing on suspiciousness values 34

Visualization of automated program repair focusing on suspic...

引用

34th International conference on software engineering and knowledge engineering, SEKE 2022

作者： Tane, Naoki Ito, Yusaku Washizaki, Hironori Fukazawa, Yoshiaki Department of Fundamental Science and Engineering Waseda University Tokyo Japan

ISBN: (纸本)1891706543

Automated program repair (APR) can realize efficient debugging in software development. Automated program corrections using genetic algorithms (GA) can repair programs, including those with multiple bugs, but the repair process of GA-based APR is difficult to understand using logs because many modification program codes are generated. Consequently, Matsumoto et al. implemented a methodology for visualizing the process. Their proposed methodology provides an intuitive understanding of the conformance values (test case pass rates), generations, states, and operations performed to generate each variant;however, it lacks sufficient information to analyze whether defect localization is appropriate in APR. Herein we propose a new methodology to visualize the impact of fault localization on program evolution in GA-based APR and create a new tool. Additionally, a case study demonstrates the effectiveness of the proposed methodology and future works are considered. © 2022 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

SynPrompt: Syntax-aware Enhanced Prompt engineering for Aspect-based Sentiment Analysis 30

SynPrompt: Syntax-aware Enhanced Prompt Engineering for Aspe...

引用

Joint 30th International conference on Computational Linguistics and 14th International conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Yin, Wen Liu, Cencen Xu, Yi Wahla, Ahmad Yiting, Huang Zheng, Dezhang School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu610054 China Laboratory of Intelligent Collaborative Computing Chengdu611731 China Bashu Middle School Chongqing400013 China

ISBN: (纸本)9782493814104

Although there have been some studies uses prompt learning for the Aspect-based Sentiment Analysis(ABSA) tasks, their methods of prompt-tuning are simple and crude. Compared with vanilla fine-tuning methods, prompt learning intuitively bridges the objective form gap between pre-training and fine-tuning. Concretely, simply constructing prompt related to aspect words fails to fully exploit the potential of Pre-trained Language Models, and conducting more robust and professional prompt engineering for downstream tasks is a challenging problem that needs to be solved urgently. Therefore, in this paper, we propose a novel syntax-aware enhanced prompt method (SynPrompt), which sufficiently mines the key syntactic information related to aspect words from the syntactic dependency tree. Additionally, to effectively harness the domain-specific knowledge embedded within PLMs for the ABSA tasks, we constructed two adaptive prompt frameworks to enhance the perception ability of the above method. After conducting extensive experiments on three benchmark datasets, we have found that our method consistently achieves favorable results. These findings not only demonstrate the effectiveness and rationality of our proposed methods but also provide a powerful alternative to traditional prompt-tuning. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Server and Route Selection Optimization for knowledge-defined Distributed Network based on Gambling Theory and LSTM Neural Networks

Server and Route Selection Optimization for Knowledge-define...

引用

IEEE conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity

作者： Son Duong Tuan Nguyen Nam-Thang Hoang Van Tong Hai-Anh Tran Giang, Nguyen Mellouk, Abdelhamid Truong Tran Hanoi Univ Civil Engn Fac Informat Technol Hanoi Vietnam Hanoi Univ Sci & Technol Sch Informat & Commun Technol Hanoi Vietnam Univ Paris Est Creteil LISSI Tinc NET F-94400 Vitry Sur Seine France Penn State Univ Sch Sci Engn & Technol University Pk PA 16802 USA

ISBN: (纸本)9798350310900

Server and route selection (SARS) optimization is a critical aspect of traffic engineering to allocate network resources to meet diverse service requirements effectively. Existing studies have primarily focused on finding profitable or optimal solutions for the SARS problem within current time steps, considering specific constraints. However, they often have failed to address the dynamic and uncertainty of future network states. To address this gap, this paper proposes an algorithm named GAL to optimize server costs and response time while accounting for future network dynamics. GAL combines a server selection inspired by the gambling theory and a network routing based on Long Short-Term Memory Networks (LSTM). The server selection method is formulated as a gambling problem and solved using the decision-making Tug-of-War (TOW) dynamic algorithm. The routing mechanism is optimized based on predictions of future network states made by LSTM neural networks, which excel in capturing long-term dependencies. We have implemented GAL through a distributed software-defined networking (SDN) system and obtained good evaluation results regarding average response time and server cost compared to benchmark methods. These results demonstrate that GAL can effectively tackle the SARS optimization problem by considering present constraints and future network dynamics. This study can advance traffic engineering and lays a foundation for more robust resource allocation strategies in dynamic network environments.

关键词： SARS Optimization Multi-armed Bandits software Defined Networking Distributed SDN LSTM Networks

来源：评论

学校读者我要写书评

暂无评论

Research on Intelligent Generation of Spaceborne software Code based on knowledge Graph

Research on Intelligent Generation of Spaceborne Software Co...

引用

2025 2nd International conference on Algorithms, software engineering and Network Security (ASENS)

作者： Qian Wu Xiaofeng Li Xiaobing Xie Tianyi Qi Ruoxi Xu Beijing Institute of Control Engineering Beijing China Beijing Institute of Control and Electronic Technology Beijing China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

Parameter configuration of spacecraft software involves the knowledge of the overall technology and scheme as well as the cumbersome operation steps. Traditional manual binding value transfer and code writing cannot effectively support the increasing scale of spaceborne software and satisfy the development cycle requirements. A new method is explored to generate the spaceborne software code intelligently. Firstly, the intensive knowledge of the parameter initialization code was analyzed , which was extracted into declarative knowledge and relational knowledge. The former was formally expressed, and the latter was linked to generate a solidified knowledge base. A prototype tool system was developed that could intelligently generate the parameter initialization code for the spacecraft software. Finally, one satellite control software was taken as an example to verify the effectiveness of the proposed method. The results showed that the intelligent code generation method based on knowledge graph could effectively simplify the process, reduce the error rate, and better meet the requirements of high quality and fast delivery for the spaceborne software.

关键词： Space vehicles Codes Satellites Error analysis Prototypes XML knowledge graphs Manuals Writing software

来源：评论

学校读者我要写书评

暂无评论

Characterisation of Landuse / Landcover Changes and its Comparison in Vijayawada City using Artificial Neural Networks with Minimum Distance to Mean

Characterisation of Landuse / Landcover Changes and its Comp...

引用

2023 International conference on Artificial Intelligence and knowledge Discovery in Concurrent engineering, ICECONF 2023

作者： Venkat, K. Pavan Sivakumar, Vidhya Lakshmi Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Civil Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350334357

Aim: The main objective of this paper is to find the change detection of a Vijayawada city, Andhra Pradesh. Digital image processing is done by performing image classification, the regions separated into 6 different major classes based on its use and by the cover it is found for a period of 20 years from 2001 to 2020 and comparing the algorithms Artificial Neural Networks (ANN) with Minimum Distance to Mean (MDM) classification to predict which gives higher accuracy. Materials and Methods: The images of the city are collected from the satellites landsat 7ETM+ (Enhanced Thematic Mapper plus) &landsat 8 for novel supervised classification from the United States Geological Survey (USGS) earth explorer. Those images are preprocessed for image classification and used for novel supervised classification with a total sample size of N= 6 with 3 samples from 2 groups with different years. The pretest power is to be determined with 80% with an alpha value of 0.05 and CI of 95%. Results and discussion: based on the results from the SPSS (statistical analysis software) we got p=0.04 for overall accuracy which is p © 2023 IEEE.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

Integrity Estimation of Twitter based Event Recognition Using Scrutiny of Analyzed Data 2

Integrity Estimation of Twitter Based Event Recognition Usin...

引用

2nd International conference on Emerging Trends in Information Technology and engineering, ic-ETITE 2024

作者： Siva Rama Lingham, N. Parameswari, M. Karthick, P. Priya, T. Subha Rathi Rajesh, G. Jagannathan, J. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Knowledge Institute of Technology Department of Computer Science and Engineering Salem India Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College Department of Computer Science and Engineering Chennai India School of Engineering and Technology Jeppiaar University Chennai India School of Computer Science Engineering and Information Systems Vellore Institute of Technology Department of Software and Systems Engineering Vellore Katpadi632014 India

ISBN: (纸本)9798350328202

Twitter has been observed to be one of the essential data resources for dependable event accreditation. In any case, Twitter-based event affirmation structures can't guarantee assessment concerning their attestation results. Talk statement has been locked in starting late to enable liberal event Recognition. This problem is not yet evident in light of the assumption that most people tend to think that they have a specific limit to the data on Twitter that have frames based on events based on Twitter. Current appraisals see new pieces by seeing and looking at the significant psychological aspects of hitting the details on Twitter. No matter, the scale of the visual cues can be well established, with the intention that it is essential to design an integrated Twitter experiment with another set of extensible data resources to rectify this problem. The problem is the processes by which you should wholeheartedly investigate all converted data because it has different data structures, transfer times, etc. This issue of address, the paper proposes a framework for evaluating the use of Twitter-based events and examines two types of data resources for the reliability of impact testing. Our framework uses the resultant of the request obtaining by various events and relevant to the articles on it. This paper has improved the cleaning test with the proposed process how the integrity estimation of twitter based event can be recognized with the help of group of analyzed data. The evaluation indicates that the proposed system provides visible high-level testing events and a variety of low-level testing events. © 2024 IEEE.

关键词： Impact testing

来源：评论

学校读者我要写书评

暂无评论

Incentive Mechanism Design with Gold Standard Questions based on Approval Voting in Crowdsourcing 7

Incentive Mechanism Design with Gold Standard Questions Base...

引用

7th International conference on Management engineering, software engineering and Service Sciences, ICMSS 2023

作者： Zhao, H.J. Sheng, B. Jiang, J.C. Jiang, Y. Nanjing University of Finance and Economics Department of Informatization Construction and Management Nanjing China School of Information Engineering Nanjing University of Finance and Economics Nanjing China School of Computer Southest University Nanjing China

ISBN: (纸本)9781665456067

Crowdsourcing has been widely used in many areas such as data tagging in machine learning these years. However, sometimes the quality of the task is not satisfied because workers lack of expertise knowledge or workers do not put all of their effort. In order to better use crowdsourcing system, it is necessary to design incentive mechanism to ensure workers try their best to propose answers in the process of completing tasks. Therefore, in this paper, we study how to design incentive mechanisms with inserting gold standard questions in the crowdsourced tasks, and applying approval voting to utilize workers' partial knowledge as much as possible. In particular, workers would pay cost for every option they selected, and get proper reward only if they select the true answer for gold standard questions. In the paper, it theoretically proves that the proposed mechanism has good properties compared with other mechanisms and meets the constraint of incentivizing workers to select all options with belief higher than the threshold and thus improves the total quality of workers' answers. Finally, experiment results show that the mechanism can improve the quality of workers' answers in completing tasks. © 2023 IEEE.

关键词： Crowdsourcing

来源：评论

学校读者我要写书评

暂无评论

Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images 41

Tabular Insights, Visual Impacts: Transferring Expertise fro...

引用

41st International conference on Machine Learning, ICML 2024

作者： Jiang, Jun-Peng Ye, Han-Jia Wang, Leye Yang, Yang Jiang, Yuan Zhan, De-Chuan School of Artificial Intelligence Nanjing University Nanjing China National Key Laboratory for Novel Software Technology Nanjing University Nanjing China Ministry of Education & School of Computer Science Peking University Beijing China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

Transferring knowledge across diverse data modalities is receiving increasing attention in machine learning. This paper tackles the task of leveraging expert-derived, yet expensive, tabular data to enhance image-based predictions when tabular data is unavailable during inference. The primary challenges stem from the inherent complexity of accurately mapping diverse tabular data to visual contexts, coupled with the necessity to devise distinct strategies for numerical and categorical tabular attributes. We propose CHannel tAbulaR alignment with optiMal tranSport (CHARMS), which establishes an alignment between image channels and tabular attributes, enabling selective knowledge transfer that is pertinent to visual features. Specifically, CHARMS measures similarity distributions across modalities to effectively differentiate and transfer relevant tabular features, with a focus on morphological characteristics, enhancing the capabilities of visual classifiers. By maximizing the mutual information between image channels and tabular features, knowledge from both numerical and categorical tabular attributes are extracted. Experimental results demonstrate that CHARMS not only enhances the performance of image classifiers but also improves their interpretability by effectively utilizing tabular knowledge. Copyright 2024 by the author(s)

关键词： knowledge transfer

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 << < 67 68 69 70 71 72 73 74 75 76 > >>

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：