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

36,014 篇 会议
813 册 图书
640 篇 期刊文献

馆藏范围

37,466 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

21,091 篇 工学
- 15,957 篇 计算机科学与技术...
- 11,637 篇 软件工程
- 4,410 篇 机械工程
- 3,885 篇 控制科学与工程
- 2,922 篇 信息与通信工程
- 2,637 篇 电气工程
- 1,314 篇 生物工程
- 1,137 篇 化学工程与技术
- 1,102 篇 材料科学与工程（可...
- 1,097 篇 生物医学工程（可授...
- 1,090 篇 电子科学与技术（可...
- 992 篇 冶金工程
- 981 篇 动力工程及工程热...
- 827 篇 仪器科学与技术
- 735 篇 建筑学
- 732 篇 土木工程
- 710 篇 安全科学与工程
- 691 篇 交通运输工程
8,759 篇 管理学
- 6,599 篇 管理科学与工程(可...
- 3,003 篇 图书情报与档案管...
- 2,810 篇 工商管理
6,964 篇 理学
- 3,919 篇 数学
- 1,411 篇 生物学
- 1,389 篇 统计学（可授理学、...
- 1,342 篇 物理学
- 1,066 篇 系统科学
- 899 篇 化学
1,072 篇 医学
- 923 篇 临床医学
- 821 篇 基础医学(可授医学...
997 篇 经济学
- 981 篇 应用经济学
666 篇 法学
611 篇 教育学
337 篇 农学
93 篇 文学
62 篇 军事学
29 篇 艺术学
4 篇 历史学
2 篇 哲学

主题

2,784 篇 data mining
1,714 篇 knowledge engine...
1,484 篇 data models
1,123 篇 manufacturing
1,089 篇 knowledge based ...
1,020 篇 real-time system...
980 篇 artificial intel...
872 篇 accuracy
862 篇 machine learning
860 篇 training
740 篇 computational mo...
738 篇 feature extracti...
685 篇 predictive model...
654 篇 neural networks
644 篇 databases
563 篇 semantics
539 篇 data engineering
530 篇 knowledge manage...
516 篇 big data
513 篇 decision making

机构

78 篇 lovely professio...
58 篇 school of comput...
50 篇 chitkara univers...
30 篇 school of comput...
28 篇 college of infor...
28 篇 al-nisour univer...
27 篇 department of el...
25 篇 school of inform...
23 篇 school of automa...
20 篇 school of comput...
19 篇 school of comput...
19 篇 school of comput...
18 篇 department of me...
17 篇 school of mechan...
17 篇 school of inform...
15 篇 school of comput...
15 篇 institute for co...
15 篇 school of mechat...
15 篇 lloyd institute ...
15 篇 school of comput...

作者

27 篇 deepak gerard
27 篇 liu yang
26 篇 li li
24 篇 bernady o. apduh...
21 篇 l. horvath
21 篇 robert j. howlet...
19 篇 huang george q.
19 篇 meixner kristof
19 篇 liu ying
17 篇 lei wang
17 篇 yu wang
17 篇 amit joshi
16 篇 zhang tao
16 篇 alexander verl
16 篇 stefan biffl
16 篇 wang lei
16 篇 li yang
16 篇 wang hui
16 篇 arndt lüder
15 篇 jian wang

语言

33,144 篇 英文
4,181 篇 其他
201 篇 中文
3 篇 西班牙文
3 篇 俄文
2 篇 葡萄牙文
1 篇 捷克文
1 篇 斯洛伐克文

检索条件"任意字段=International Conference on Data and Knowledge Systems for Manufacturing and Engineering"

共 37467 条记录，以下是591-600 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：

Classification of Table Cells Based on LLM Prompts

Classification of Table Cells Based on LLM Prompts

引用

2024 IEEE international conference on systems, Man, and Cybernetics, SMC 2024

作者： Liu, Mengjie Bu, Chenyang Bai, Shengxing Dong, Bingbing Wu, Xindong China School of Computer Science and Information Engineering Hefei University of Technology Hefei China

ISBN: (纸本)9781665410205

Tables, as an important means of data storage, are widely used in spreadsheets, web tables, and PDFs. By integrating information from table data with knowledge re-trieved from an external knowledge base, and examining the correspondences between cell values in the table and instances in the knowledge base, we can extract knowledge from the table to augment and enrich the knowledge base. To achieve this goal, we first need to classify table cells based on their functions in the layout. Due to the diverse structures arising from the arrangements of rows and columns, as well as the complexity of content resulting from concise data storage, current automation techniques heavily rely on stylistic features of table cells, such as font or color. Moreover, these methods are rarely experimented with or validated on tables without style features. Recent literature indicates that large language models (LLMs) demonstrate an ability to understand the structure and content of tables in tasks such as table judgment reasoning. Even without extensive feature inputs or pre-training, LLMs still show comparable results to machine learning and deep learning in these tasks. Therefore, this paper attempts to apply LLMs to table cell classification without using other stylistic features. We have designed a 4-component prompt paradigm (Classification Definition, Instruction, Table, Com-pletion), representing respectively the classification definition, task instructions, table data, and result output. We conduct experiments on three datasets CIUS, SAUS, and DEEX for table cell classification with one-shot learning. Our experimental results show that with the assistance of LLMs, better results can be achieved without utilizing stylistic features. © 2024 IEEE.

关键词： knowledge based systems

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Approach to Extraction of knowledge From Scientific Texts Based on Large Language Models and Domain Dictionaries

A Hybrid Approach to Extraction of Knowledge From Scientific...

引用

2024 IEEE international Multi-conference on engineering, Computer and Information Sciences, SIBIRCON 2024

作者： Chusova, Alina Artemieva, Irina Chusov, Andrey Far Eastern Federal University Department Software Engineering and Artificial Intelligence Vladivostok Russia

ISBN: (纸本)9798331532024

The vast information landscape of the Internet constitute a significant challenge for extracting valuable content. The lack of standardized data models and structures necessitates ad hoc solutions, often requiring expert knowledge that developers may lack. While Large Language Models (LLMs) hold promise for addressing this challenge, their susceptibility to AI hallucinations and inaccuracies necessitates ongoing research. This paper introduces a hybrid approach for extracting information on computational methods that combines domain-specific dictionaries with LLMs in order to improve the accuracy of method categorization. Our system incorporates explainability, allowing users to understand the reasoning behind method assignments. Furthermore, user-driven training is facilitated by allowing users to select theories and highlight relevant keywords, enhancing learning capabilities of the system. Its implementation demonstrates the effectiveness of this approach, achieving an impressive Fl-score of up to 90.3 %. This research contributes to the ongoing effort to develop robust and accurate knowledge extraction systems for navigating the ever-expanding landscape of online information. © 2024 IEEE.

关键词： Online systems

来源：评论

学校读者我要写书评

暂无评论

18th international Joint conference on Biomedical engineering systems and Technologies, BIOSTEC 2025

18th International Joint Conference on Biomedical Engineerin...

引用

18th international Joint conference on Biomedical engineering systems and Technologies, BIOSTEC 2025

The proceedings contain 256 papers. The special focus in this conference is on Biomedical engineering systems and Technologies. The topics include: Cross-Domain Transfer Learning for Domain Adaptation in Autism Spectrum Disorder Diagnosis;an Interpretable Machine Learning Model for Meningioma Grade Prediction;approximation of Inertial Measurement Unit data to Time Series Kinematic data Through Correlation Analysis and Machine Learning;Privacy-Preserving Mortality Prediction in ICUs Using Federated Learning;trends in Drug Prescriptions in the Outpatient Physician Sector in a German Federal State from 2014 to 2023 Using Morbidity Related Groups, Correlations and Partial Correlations;quality Clustering for Reducing the Search Space for Mobile Stroke Unit Allocation;leveraging Cross-Verification to Enhance Zero-Shot Prompting for Care Document data Extraction;Integrating Gait and Clinical data with Explainable Artificial Intelligence for Parkinson’s Prediction: The EDAM System;Unveiling Breast Cancer Causes Through knowledge Graph Analysis and BioBERT-Based Factuality Prediction;optimizing Blood Transfusions and Predicting Shortages in Resource-Constrained Areas;using Machine Learning to Assess the Impact of Harsh Violent Discipline on Children and Adolescents in Lowand Middle-Income Countries: A Comparative Analysis Focusing on Its Relationship with Disabilities;HealthAIDE: Developing an Audit Framework for AI-Generated Online Health Information;enhancing Diagnostic Accuracy of Drug-Resistant Tuberculosis on Chest X-Rays Using data-Efficient Image Transformers;CFC Annotator: A Cluster-Focused Combination Algorithm for Annotating Electronic Health Records by Referencing Interface Terminology;novel Approach to De-Identify Relational Healthcare databases at Rest: A De-Identification of Key data Approach;enhancing Fracture Aftercare Through a Human-Centered Mobile App Design;challenges of Generalizing Machine Learning Models in Healthcare.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Robust Network For Segmenting Roof Planes From Sparse Point Clouds 36

Robust Network For Segmenting Roof Planes From Sparse Point ...

引用

36th international conference on Software engineering and knowledge engineering, SEKE 2024

作者： Fu, Hang Zeng, Cheng Key Laboratory of Intelligent Sensing System and Security Hubei University Ministry of Education Wuhan China School of Computer and Information Engineering Hubei University Wuhan China School of Artificial Intelligence Hubei University Wuhan China

ISBN: (纸本)1891706594

The plane is the fundamental characteristic for describing the shape of polyhedral buildings. Roof plane segmentation of airborne LiDAR point clouds is an important step in 3D building model reconstruction. Existing methods are either non-automatic and efficient traditional methods, or hindered by the lack of datasets for roof plane segmentation and therefore fail to achieve good training for deep learning methods. To address the above issues, we proposes an end-to-end network called PUTr for roof plane segmentation of sparse point clouds. This network integrates a Point-cloud Upsampling module and Transformer to ensure effective generalization even when trained on low-density datasets, while also capturing dependency relationships within point cloud neighborhoods. Our model overcomes the low automation and manual intervention of existing methods, and the limited generalization of deep learning due to scarce high-quality datasets. Evaluations also demonstrate its effectiveness in roof plane segmentation of laser point cloud data. © 2024 knowledge systems Institute Graduate School. All rights reserved.

关键词： 3D reconstruction

来源：评论

学校读者我要写书评

暂无评论

18th international Joint conference on Biomedical engineering systems and Technologies, BIOSTEC 2025

18th International Joint Conference on Biomedical Engineerin...

引用

18th international Joint conference on Biomedical engineering systems and Technologies, BIOSTEC 2025

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proceedings of the 26th international conference on Enterprise Information systems, ICEIS 2024

Proceedings of the 26th International Conference on Enterpri...

引用

26th international conference on Enterprise Information systems, ICEIS 2024

ISBN: (纸本)9789897586927

The proceedings contain 185 papers. The topics discussed include: the evolution of original ERP customization: a systematic literature review of technical possibilities;data-driven process analysis of logistics systems: implementation process of a knowledge-based approach;a performance analysis for efficient schema design in cloud-based distributed data warehouses;quantitative analysis of the relationship between master data quality and process quality;analyzing sepsis treatment variations in subpopulations with process mining;balancing autonomy and control: an adaptive approach for security governance in large-scale agile development;project management in large-scale with international settings: challenges faced with multiculturalism;on the integration of privacy-enhancing technologies in the process of software engineering;and software engineers engagement and job satisfaction: a survey with practitioners working remotely in a public organization.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A data Mesh Adaptable Oil and Gas Ontology Based on Open Subsurface data Universe (OSDU) 15

A Data Mesh Adaptable Oil and Gas Ontology Based on Open Sub...

引用

15th international conference on knowledge engineering and Ontology Development, KEOD 2023 as part of the 15th international Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2023

作者： Abolhassani, Neda Tudor, Ana Paul, Sanjoy Accenture Labs 415 Mission St Floor 35 San FranciscoCA94105 United States

ISBN: (纸本)9789897586712

Incompatible models, heterogeneous data, and siloed data present challenges for the Oil & Gas industry. knowledge graphs provide efficient consolidation, improved quality, and universal access to data, addressing these challenges. Developed by major global Oil & Gas and cloud organizations, the Open Subsurface data Universe (OSDU) platform provides subsurface energy data ingestion, enrichment, and consumption services, as well as metadata storage, indexing, and search services. OSDU data supply chain aligns with the main concepts of the new trending data architecture, data Mesh, such as federated data governance, decoupling data from applications, and domain specific data products. data integration in subsurface data industry can be achieved by building a domain knowledge graph based on standard and enriched OSDU framework schemas. A knowledge graph-based solution begins with building a domain ontology. The purpose of this article is to introduce the OSDU ontology, which is publicly available on GitHub under the Apache 2.0 license. This paper discusses OSDU ontology design, development, applications, and evaluation. Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0).

关键词： Graphic methods

来源：评论

学校读者我要写书评

暂无评论

KDTSS: A Blockchain-Based Scheme for knowledge data Traceability and Secure Sharing 17th

KDTSS: A Blockchain-Based Scheme for Knowledge Data Traceabi...

引用

17th international conference on knowledge Science, engineering and Management (KSEM)

作者： Liang, Haochen Guo, Yunwei Yu, Jing Dong, Hao Gai, Keke Beijing Inst Technol Sch Cyperspace Sci & Technol Beijing Peoples R China Beijing Inst Technol Sch Comp Sci & Technol Beijing Peoples R China Beijing Inst Technol Yangtze Delta Reg Acad Jiaxing Zhejiang Peoples R China Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Beijing Muguo Tech Ltd Beijing 100081 Peoples R China

ISBN: (纸本)9789819755004;9789819755011

In the field of computer science, knowledge refers to organized and meaningful information derived from the processing and interpretation of data. It plays a pivotal role in guiding decision-making, understanding complex systems, solving problems, or predicting future events. Consequently, knowledge data often faces the risks of alteration or theft by attackers. Given that many knowledge datasets may contain sensitive information, such as personal privacy, trade secrets, or national security-related data, ensuring the security of knowledge data poses a significant challenge. knowledge provenance is a technology that has garnered considerable attention for its ability to ensure the integrity of knowledge data during transmission, thereby enhancing its credibility. This paper presents the design of a blockchain-based knowledge data provenance and sharing system, which leverages blockchain technology to achieve trustworthy provenance and secure sharing of knowledge data. Comprehensive comparative experiments conducted on a consortium blockchain confirm that our proposed solution exhibits robust performance and security.

关键词： knowledge Traceability Blockchain data Sharing data Storage Access Control

来源：评论

学校读者我要写书评

暂无评论

Statistical-Based Pick-and-Place Control 32nd

Statistical-Based Pick-and-Place Control

引用

32nd international conference on Flexible Automation and Intelligent manufacturing

作者： Kim, Jaewoo Won, Daehan Yoon, Sang Won SUNY Binghamton Binghamton NY 13902 USA

ISBN: (纸本)9783031382406;9783031382413

Surface Mount Technology (SMT) is the most widely used method of manufacturing electronic assemblies to place electronic components on the surface of the printed circuit board (PCB). The miniaturization trend in electronics requires tighter placement control to satisfy this SMT connection criterion. With the ongoing miniaturization trend and increased usage of lead-free solder, the solder's misalignment has caused component misalignment, especially on the mini-scale components. This research proposes a statistical-based framework that collects data from inspection machines and identifies the optimal placement position to minimize the small passive component's side overhang (SO), which is one of the dimensional requirements in SMT assemblies. An experiment that involves four printer settings and 4,800 resistors R0402M (0.40 mm x 0.20 mm) is designed and conducted. In the experiment, our framework shows the effectiveness of reducing SO.

关键词： Surface Mount Technology smart manufacturing side overhang mini-scale passive components pick-and-place process

来源：评论

学校读者我要写书评

暂无评论

Privacy-Preserving Brakerski-Gentry-Vaikuntanathan (BGV) Homomorphic Encryption for IoMT data Security

Privacy-Preserving Brakerski-Gentry-Vaikuntanathan (BGV) Hom...

引用

2024 international conference on knowledge engineering and Communication systems, ICKECS 2024

作者： Kumar, V. Vinoth Pabitha, P. Velammal Institute of Technology Department of Information Technology Chennai Ponneri601204 India Anna University Department of Computer Technology MIT Campus Chennai Chromepet600044 India

ISBN: (纸本)9798350359688

The rapid proliferation of Internet of Medical Things (IoMT) devices has revolutionized healthcare, offering unprecedented opportunities for remote patient monitoring, personalized treatment, and data-driven insights. However, the sensitive nature of health data collected by IoMT devices necessitates robust security and privacy measures to protect patient confidentiality. In this paper, we propose a novel approach to address these challenges by leveraging blockchain technology in conjunction with the privacy-preserving capabilities of the Brakerski-Gentry-Vaikuntanathan (BGV) homomorphic encryption scheme. Our proposed Blockchain-based Privacy-Preserving BGV Homomorphic Encryption mechanism aims to ensure the confidentiality and integrity of IoMT data while enabling secure computation for data analysis and utilization. Our mechanism employs the BGV homomorphic encryption scheme to enable efficient and secure computation on encrypted data, preserving patient privacy throughout the analysis process. we demonstrate the practical applicability and effectiveness of our approach in safeguarding sensitive health data while facilitating secure and privacy-preserving data analytics. Finally, we discuss potential extensions and future research directions, highlighting the significance of privacy-preserving mechanisms in advancing IoMT data security and enabling the realization of a trusted and interoperable healthcare ecosystem. © 2024 IEEE.

关键词： Patient treatment

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 << < 56 57 58 59 60 61 62 63 64 65 > >>

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：