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761-770 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：

Prior knowledge-embedded Deep Neural Network for Few-shot Gearbox Fault Diagnosis 2

Prior Knowledge-embedded Deep Neural Network for Few-shot Ge...

引用

2nd international conference on the Frontiers of Intelligent Control, Measurement, and Signal systems, FICMSS 2025

作者： Zhang, Tianci College of Mechanical and Electrical Engineering Central South University Changsha410083 China

Fault diagnosis is essential for gearbox safety. However, traditional intelligent models are challenging to develop due to limited fault data availability. Incorporating prior knowledge into the learning process can mitigate this data scarcity. This paper introduces a deep neural network integrating prior knowledge for few-shot gearbox fault diagnosis. Initially, prior fault features are constructed using domain knowledge, allowing initial gearbox health assessment without parameter training. Subsequently, a deep convolutional neural network extracts adaptive features from vibration data. An attention module then combines these adaptive features with prior features, enabling accurate fault identification. The proposed method is validated through gearbox fault data analysis. Experimental results demonstrate its superiority in fault diagnosis accuracy compared to existing methods in small sample scenarios. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Breast Cancer Classification using Machine Learning Algorithm

Breast Cancer Classification using Machine Learning Algorith...

引用

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

作者： Anu, D. Vidhya, K. Nitte Meenakshi Institute of Technology Artificial Intelligence & Data Science Bangalore India East West Institute of Technology Information Science & Engg Bangalore India

ISBN: (纸本)9798350359688

Around the globe in this era breast cancer is the most common disease among women, previously detection of breast cancer was a long and tedious process. In the proposed system the patient's data set will be collected. The collected data set will be manipulated and cleaned using feature extraction process [1]. The data set attributes consist of the nuclei measurements information. Nuclei measurements include radius, texture, perimeter etc. Also, the data set has the information whether the women breast does have the cancer or not by means of already calculated data which is indicated as benign or malignant. Benign are the non-cancerous tumor cell and that does not invade the neighboring cell, but malignant are the cancercausing tumor and it invades the neighbor cell after the manipulation and feature extraction of the data, it is further processed by machine learning algorithms under neural network. The dataset will be split into dependent and independent data. Dependent data are the data expect id and diagnosis, where the independent are diagnosis data [2]. The split data is 75% of training data and 25 % is testing data. Then scale the data (feature scaling) to bring the training data to a particular range of 0 to 1. The logistic regression is a part of machine learning algorithm which is a subset of random forest classifier, confusion matrix, SVM classifier, KNN classifiers are made used for both training and testing the data set. With the result the accuracy will be calculated [3]. The highest accuracy method will be chosen and the result data and original data will be compare to find the accurate result that whether the women does have the cancer or not. © 2024 IEEE.

关键词： Lung cancer

来源：评论

学校读者我要写书评

暂无评论

Study on low-power test data compression method for 3D chips 2

Study on low-power test data compression method for 3D chips

引用

2nd international conference on Advanced manufacturing Technology and manufacturing systems, ICAMTMS 2023

作者： Wang, Dengfeng Zhang, Yunfei School of Computer Science and Information Engineering Hefei University of Technology Anhui Hefei230009 China

ISBN: (纸本)9781510667327

Three-dimensional chips require more complex test structures in different test phases, and the test data storage and test power consumption will be greatly increased, so the test cost will be more expensive. To address the above problems, this paper focuses on test data compression and test power consumption, and proposes a low-power test data compression scheme for three-dimensional chips. First, for the problem of large test data storage, this paper proposes a very effective test data compression scheme, based on Golomb tour coding compression, which greatly improves the compression rate of test data and reduces the test data storage volume. Second, for the test data compression at the same time, the test shift power consumption and excellent optimization effect, greatly reducing the test power consumption. Finally, this paper proposes a low-power test data compression structure applicable to three-dimensional chip testing, and gives the test flow control in each test phase of the three-dimensional chip. The experimental results show that the average compression rate of this scheme reaches 89.72% and the average power consumption is reduced by 86.53%, which effectively reduces the test cost of the 3D chip. © 2023 SPIE.

关键词： Electric power utilization

来源：评论

学校读者我要写书评

暂无评论

knowledge based Organizational Personal Assistant 2

Knowledge based Organizational Personal Assistant

引用

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

作者： Mohan, Vasanthakumar Paramesh, Anandh Sivaguru Panimalar Engineering College Artificial Intelligence and Data Science Chennai India

ISBN: (纸本)9798350328202

In the modern era, most activities are being digitized. One of the main objectives of AI is to enable human machine interaction. The dialogue systems technology has been utilized by numerous organizations to create a variety of types of personal assistants depending on their applications and domains. Here we introduce the development of a versatile knowledge Based Personal Assistant for College that leverages advanced technologies, including natural language processing, voice recognition, and text to speech synthesis, to address the diverse and evolving needs of the college community. This AI driven system is designed to facilitate a seamless and efficient user experience, allowing users to interact with the assistant through both voice and text inputs. Alongside core functionalities encompassing academic schedule management, emergency contact assistance, email integration, location based services, and academic inquiries, the assistant provides responses in both voice and text formats. Technical aspects include the integration of state of the art NLP algorithms for query understanding and context aware responses. Users can easily switch between input mode and receive responses, accordingly, offering a flexible and inclusive user experience. The assistant adaptability and expandability are central to its design, featuring modular architecture that facilitates the integration of additional features and services. © 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

Generating synthetic mixed-type tabular data by decoding samples from a latent-space: a case study in healthcare 28th

Generating synthetic mixed-type tabular data by decoding sam...

引用

28th international conference on knowledge Based and Intelligent information and engineering systems, KES 2024

作者： Drapala, Jaroslaw Swiatek, Jerzy Department of Computer Science and Systems Engineering Faculty of Information and Communication Technology Wroclaw University of Science and Technology Wroclaw50-370 Poland

Medical data are subject to privacy regulations, which severely limit AI specialists who wish to construct decision support systems for medicine. Large amounts of this data are tabular, indicating that they are organized into a table format, where patient records are represented in rows and measured variables in columns. Furthermore, the variables come in different types-some are numerical, while others are categorical. In this work, we introduce a novel method for constructing generators of synthetic tabular data with mixed types. The key point of our approach is the explicit utilization of a latent space to represent the original data. A case study using real medical data is presented. © 2024 The Authors.

关键词： data privacy

来源：评论

学校读者我要写书评

暂无评论

An Attention-Based Model for Clinical Time Series Prediction: Enhancing ICU Readmission Prediction 14

An Attention-Based Model for Clinical Time Series Prediction...

引用

14th international conference on Computer and knowledge engineering, ICCKE 2024

作者： Madinei, Hananeh Sadat Keyvanpour, Mohammad Reza Shojaedini, Seyed Vahab Data Mining Laboratory Department of Computer Engineering Faculty of Engineering Alzahra University Tehran Iran Department of Computer Engineering Faculty of Engineering Alzahra University Tehran Iran Department of Electrical Engineering Iranian Research Organization for Science and Technology Tehran Iran

ISBN: (纸本)9798331511272

— In recent years, time series prediction has become a highly interesting topic in various applied areas, including clinical time series analysis. Hospitals and other clinical healthcare systems collect Electronic Health Records. These records contain important information that needs to be mined. This information provides a solid basis for predicting hospital readmission, helping to improve healthcare, enhance patient outcomes, and optimize hospital resources. This study introduces a novel deep learning attention-based approach for predicting 30-day ICU readmissions using clinical time series information extracted from the MIMIC III dataset. This approach incorporates time-aware positional encoding into the attention mechanism to enhance predictive performance by capturing the temporal representation of data and considering the temporal order of clinical time series data. This model is compared with cutting-edge models. The significant enhancements in the model performance achieved by the proposed method highlight the effectiveness of incorporating time-aware positional encoding in capturing temporal dependencies and improving prediction outcomes. These results underscore the potential of advanced attention mechanisms in clinical time series analysis. ©2024 IEEE.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

Smart Cloud Equipment Tracking and Control System

Smart Cloud Equipment Tracking and Control System

引用

2024 international conference on Industrial engineering, Applications and manufacturing, ICIEAM 2024

作者： Krutskikh, V.V. Ushkov, A.N. Chukashov, D.S. Trofimov, A.Yu. National Research University 'Moscow Power Engineering Institute' Moscow Russia Moscow Polytechnic University Moscow Russia

ISBN: (纸本)9798350395013

The extensive development of technology for various industrial production processes in the 21st century resulted in the occurrence of numerous specialized companies and research centers. Using a large number of devices and instruments for quality task implementation requires the consideration of the individual features of the employed devices and their proper maintenance. This can be achieved through timely instrument calibration and adjustment based on automated tracking systems. These operations largely depend on maintenance staff, thus, cloud platforms and network resources can solve the problem and promote the development of autonomous Industry 4.0 systems. As a solution, this article proposes a smart system structure with a cloud processor for a database of instrument data. The system is linked to physical objects with QR codes, and the database control and monitoring are implemented through a chatbot program. The authors analyzed the key integration areas of the smart equipment tracking and control system. The suggested system structure was used to test the prototype of a control and monitoring program for the state of industrial and laboratory equipment. The authors reviewed error control coding techniques for the recovery of facility information based on the Reed-Solomon code algorithm. The data obtained from live experiments confirmed the efficiency of cloud platform application and the economic feasibility of the proposed solution to the equipment control parameter monitoring problem under various situations. © 2024 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Implementation of Block Chain, IoT and Role-basis data Access Control (RBAC) for Intelligent manufacturing 7

Implementation of Block Chain, IoT and Role-basis Data Acces...

引用

7th international conference on Inventive Computation Technologies, ICICT 2024

作者： Kaushal, Rajanish Kumar Kumar, S. M. Ravi Chellaiah, Pandeeswaran Pundir, Sumit Maranan, Ramya Krishnaiah, Nallam Chandigarh University Department of Electrical Engineering Mohali Punjab Gharuan India G. Pullaiah College of Engineering And Technology Department of Mechanical Engineering Andhra Pradesh Kurnool518452 India St. Joseph's College of Engineering Department of Computer Science And Engineering Tamil Nandu Chennai600119 India Graphic Era Deemed To Be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Saveetha School of Engineering SIMATS Department of Research And Innovation Tamil Nadu Chennai India St.Martin's Engineering Department of Information Technology Telangana Secunderabad500100 India

ISBN: (纸本)9798350359299

Various recommendations for predicting the dependability and quality of equipment contribute to the success of intelligent manufacturing systems. Numerous Role basis access control (RBAC) techniques are being investigated for this purpose. data security and administration is another industry concern that is regarded as crucial. To surmount the challenges, The proposed work integrates block chain and Role basis access control (RBAC) to secure system transactions and manage a dataset to combat the forgery dataset. Big data techniques were used to manage and examine the collected dataset. Based on the hybrid prediction technique, the aspect of defect diagnosis prediction was evaluated on-linear Role basis access control (RBAC) techniques which are mainly used for estimating the system's complex background and figuring out its true positive rate. This was done to evaluate the proposed system's quality control. © 2024 IEEE.

关键词： Access control

来源：评论

学校读者我要写书评

暂无评论

data Acquisition to Handle Complexity in Matrix Production systems 56

Data Acquisition to Handle Complexity in Matrix Production S...

引用

56th CIRP international conference on manufacturing systems, CIRP CMS 2023

作者： Berkhan, Patricia Kärcher, Susann Bauernhansl, Thomas Fraunhofer Institute of Manufacturing Engineering and Automation IPA Stuttgart Germany Institute of Industrial Manufacturing and Management IFF University of Stuttgart Stuttgart Germany

Dynamically changing markets, the ongoing trend towards individualized products and the reduction of product life cycles confront manufacturing companies with new challenges and require an adaption of their production systems. Compared to rigidly coupled production lines or single assembly stations, so-called matrix production systems, combine high flexibility and high productivity to face these challenges. However, such manufacturing systems may be more complex concerning production planning and control. This paper proposes a generic model of a matrix production system to outline its main properties. In addition, the complexity of a matrix production system is characterized based on selected complexity drivers. As a result, data acquisition is identified as an opportunity to cope with complexity during production operations in matrix production systems. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP international conference on manufacturing systems 2023.

关键词： assembly complexity driver Matrix production model resilient

来源：评论

学校读者我要写书评

暂无评论

IOT and developed deep learning based road accident detection system and societal knowledge management 2nd

IOT and developed deep learning based road accident detectio...

引用

2nd international conference on Next-Generation Computing and Information systems, ICNGCIS 2023

作者： Ananth, K.R. Fayaz Khan, Sarfraz Agarwal, Abhishek Wasim Bhatt, Mohammed Murtaza Alvi, Ahmad Degadwala, Sheshang Nandha Arts and Science College Tamil Nadu Erode India SAT – Algonquin College Ottawa Canada Vermont State University United States Model Institute of Engineering and Technology J&K Jammu India College of Finance Department of Business Administration Saudi Electronic University Riyadh Saudi Arabia Department of Computer Engineering Sigma University Gujarat Vadodara India

ISBN: (纸本)9781032738659

Business organizations and the research community try to precisely detect occurrences and assist in the case of a disaster. Most development systems are hardware-based, making them pricey and unavailable in every vehicle. A vehicle’s sensors can be destroyed in various ways, including minor accidents or fixed interactions. In instances, the sensors are incapable of detecting an accident. Intelligent phone sensors are a great alternative because of their dependability and availability. The study involves creating a smartphone application that continually reads sensor data and sends it to the cloud. The crash is discovered by threshold analysis. The critical novelty of this research is creating a scheme that alerts nearby hospitals and ambulances when an accident occurs. The system will have more minor inaccuracies, precisely identify accidents, and perform better than earlier techniques using four sensory inputs. This paper introduced novel types of deep learning for accident detection. © 2025 The Author(s).

关键词： knowledge management

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 << < 73 74 75 76 77 78 79 80 81 82 > >>

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：