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

46,138 篇 会议
792 册 图书
569 篇 期刊文献
1 篇 学位论文
1 篇 科技报告

馆藏范围

47,501 篇 电子文献
4 种 纸本馆藏

日期分布

学科分类号

30,692 篇 工学
- 21,022 篇 计算机科学与技术...
- 16,274 篇 软件工程
- 9,310 篇 控制科学与工程
- 5,583 篇 信息与通信工程
- 4,920 篇 电气工程
- 4,582 篇 机械工程
- 2,694 篇 生物工程
- 2,484 篇 电子科学与技术（可...
- 2,291 篇 生物医学工程（可授...
- 2,169 篇 动力工程及工程热...
- 1,965 篇 交通运输工程
- 1,889 篇 仪器科学与技术
- 1,609 篇 光学工程
- 1,561 篇 化学工程与技术
- 1,513 篇 安全科学与工程
- 1,209 篇 土木工程
- 1,069 篇 材料科学与工程（可...
- 1,066 篇 建筑学
12,463 篇 理学
- 6,354 篇 数学
- 3,348 篇 物理学
- 2,992 篇 生物学
- 1,815 篇 系统科学
- 1,715 篇 统计学（可授理学、...
- 1,311 篇 化学
7,397 篇 管理学
- 5,302 篇 管理科学与工程(可...
- 2,411 篇 图书情报与档案管...
- 2,353 篇 工商管理
1,871 篇 医学
- 1,668 篇 临床医学
- 1,515 篇 基础医学(可授医学...
- 1,001 篇 药学(可授医学、理...
1,068 篇 法学
900 篇 经济学
795 篇 农学
655 篇 教育学
167 篇 军事学
67 篇 艺术学
57 篇 文学
4 篇 哲学
3 篇 历史学

主题

1,974 篇 control systems
962 篇 computational mo...
813 篇 real-time system...
806 篇 artificial intel...
790 篇 feature extracti...
742 篇 internet of thin...
719 篇 computer archite...
711 篇 accuracy
710 篇 neural networks
633 篇 intelligent cont...
598 篇 intelligent netw...
594 篇 computer science
590 篇 deep learning
532 篇 intelligent syst...
525 篇 training
522 篇 monitoring
515 篇 computer vision
497 篇 traffic control
457 篇 machine learning
441 篇 predictive model...

机构

73 篇 department of el...
61 篇 lovely professio...
57 篇 maharishi school...
53 篇 school of mechat...
49 篇 chitkara univers...
46 篇 fujian provincia...
43 篇 college of infor...
40 篇 school of comput...
32 篇 school of automa...
32 篇 department of co...
29 篇 college of compu...
29 篇 jilin engineerin...
28 篇 school of contro...
27 篇 school of comput...
26 篇 school of comput...
26 篇 school of comput...
25 篇 department of el...
25 篇 tula's institute...
24 篇 ieee
23 篇 school of comput...

作者

37 篇 wang lei
32 篇 liu yang
30 篇 wang jing
28 篇 wang jian
27 篇 li li
25 篇 zhang lei
24 篇 cui ping
24 篇 li xin
23 篇 rakesh kumar
23 篇 sharma vishnu
21 篇 li yang
21 篇 li rui
20 篇 wang ping
19 篇 yang bo
19 篇 jun zhang
19 篇 liu jun
18 篇 pati bibudhendu
18 篇 li peng
18 篇 wei li
17 篇 kang hee-jun

语言

46,153 篇 英文
989 篇 其他
466 篇 中文
4 篇 法文
1 篇 西班牙文
1 篇 俄文
1 篇 土耳其文

检索条件"任意字段=International Conference on Advances in Intelligent Control and Computer Engineering"

共 47502 条记录，以下是61-70 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：

Research on new energy grid-connected human-machine cooperative training system applying parallel control and transformer modeling 3

Research on new energy grid-connected human-machine cooperat...

引用

3rd international conference on Algorithms, Network, and Communication Technology, ICANCT 2024

作者： Li, Miao Wang, Jing Zhuang, Yuan Training Center of Jilin Province State Grid Corporation of China Changchun China

ISBN: (数字)9781510688902

ISBN: (纸本)9781510688896

The purpose of this paper is to propose a panoramic human-machine collaborative training system that can adapt to new energy grid-connected operation conditions, simulate various complex situations, and provide regulators with simulation exercises, intelligent deductions, decision-making references, Q&A services, which provide intelligent reference solutions for precise regulation under new energy access scenarios with high percentage of new energy under a new type of power system. In order to enhance training effectiveness and operational efficiency, it is need to apply intelligent technology and data-driven models instead of experience and human labor. Interactive Q&A application such as Chat GPT has subversively changed the implementation mode of the training process, making the traditional teaching of theory and basic knowledge easier and faster. However, these commercial Q&A systems still have limitations in terms of accuracy, security, as well as professionalism, which makes them inefficient in professional learning area. In this paper, we use the idea of parallel control and the transformer model to construct a human-computer cooperative training system adapted to new energy grid-connected electric power systems, which realize a human-computer cooperative training model that highly integrates the Q&A services with the real trainer, the real trainees, the computer simulation system. By constructing a large model of human-computer system, a training computing experiment platform, as well as a system with a closed loop of training reality, the parallel training will help training program planning, training teaching design, training arrangements, teaching interaction and other key training links, and realize automated and intelligent training design and execution. As a training and management model adapted to the situation of artificial intelligence, parallel training will bring brand new possibilities for the development of the training industry in the intellige

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Industrial Robot Precise Path Planning Method Integrating Support Vector Machine 1

Industrial Robot Precise Path Planning Method Integrating Su...

引用

1st international conference on intelligent Manufacturing and Cloud Computing, ICIMCC 2024

作者： Huang, Tao College of Modern Information Industry Guangzhou College of Commerce Guangdong Guangzhou510000 China College of Computer Science Guangdong Polytechnic Normal University Guangdong Guangzhou510000 China

ISBN: (纸本)9781643685779

To enhance the accuracy of path planning for industrial robots in complex environments, a support vector machine is employed to integrate and model multidimensional path features. By using a radial basis function kernel, the multidimensional data is optimized, improving the accuracy and real-time performance of path planning. Experiments demonstrate that the support vector machine achieves a classification accuracy of 95.4% on 500 sample data points, with the mean squared error reduced to 0.056, and significantly lower computation time compared to traditional algorithms. The results indicate the method's efficiency and stability in complex environments, providing reliable support for intelligent manufacturing. © 2025 The Authors.

关键词： Smart manufacturing

来源：评论

学校读者我要写书评

暂无评论

Comparative advances in Financial Sentiment Analysis:A Review of BERT,FinBert, and Large Language Models 3

Comparative Advances in Financial Sentiment Analysis:A Revie...

引用

3rd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Mahendran, Manish Barath Gokul, Aswin Kumar Lakshmi, Poornima Pavithra, S. Dept. of Computer Science and Engineering Chennai Institute of Technology Tamil Nadu Chennai600069 India

ISBN: (纸本)9798331527549

Capturing market sentiments and supporting well-informed financial decision-making depend on the developing field of Financial Sentiment Analysis (FSA). Natural language processing (NLP) has made significant strides in comprehending and categorizing sentiment in intricate financial texts, especially with the use of Large Language Models (LLMs). The application of various LLMs, such as Bidirectional Encoder Representations form Transformers(BERT) and Financial BERT (FinBERT), as well as distilled models, such as DistilBERT and DistilRoBERTa, on a variety of financial datasets, including Financial Phrase Bank and LexisNexis news articles, was the main focus of this review article. highlighting different approaches such as model fine-tuning, zero-shot and few-shot learning, and prompt engineering. The study focuses on practical model predictions through a case study of sentimental analysis of cryptocurrencies. While FinBERT, a financial variant of BERT, exhibits high accuracy and robustness, other LLMs exhibit varying degrees of success based on the dataset and domain requirements. The analysis concentrates on the difficulties, compromises, and potential paths for improving LLMs for financial sentiment analysis. © 2025 IEEE.

关键词： Zero-shot learning

来源：评论

学校读者我要写书评

暂无评论

A Robust Multi-view Fuzzy Clustering Method Combining Local Spatial Information

A Robust Multi-view Fuzzy Clustering Method Combining Local ...

引用

2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Sun, Siyuan Qi, Yunsong Xu, Jie School of Computer Science and Technology Jiangsu University of Science and Technology China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

In view of the fact that the existing multi-view clustering algorithm does not dig deep into the local spatial information structure, resulting in inaccurate clustering results, this paper intends to make full use of the correlation and diversity between data to improve the clustering accuracy, and use the local similarity measure to mine the potential in the data. The structure is clustered and analyzed, and the atomic information is merged in a fuzzy manner to maintain the robustness of the algorithm. It is not sensitive to noise and will retain more view structure information. The algorithm (MvNIFC) in this paper verifies the effectiveness of the algorithm through experiments on various data sets, and compares several existing multi-view blur algorithms experimentally. The results show that the clustering accuracy and noise data processing are both improved. © 2025 SPIE.

关键词： Data accuracy

来源：评论

学校读者我要写书评

暂无评论

Advancements in Additive Manufacturing: Optimizing Mechanical Properties Through AI-Based Design 1

Advancements in Additive Manufacturing: Optimizing Mechanica...

引用

1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Prakash, Jyoti Nahar, Rajni Raj, Abhishek Joseph Silvester, K. Pandey, Sujeet Kumar Patil, Pruthviraj Devidas Engineering Institute Kamla Nehru Institute of Physical and Social Sciences Uttar Pradesh Sultanpur India Kalinga University Department of Mechanical Engineering Chhattisgarh Raipur India B.I.T. Sindri Production & Industrial Engineering Department Jharkhand Dhanbad India Bannari Amman Institute of Technology Industrial Safety Engineering Department of Mechanical Engineering Tamilnadu Erode India Rajiv Gandhi Institute of Petroleum Technology Jais Bahadurpur Uttar Pradesh Amethi India JSPM's Rajarshi Shahu College of Engineering Department of Mechanical Engineering Pune India

ISBN: (纸本)9798331518578

Modern engineering has been transformed by additive manufacturing (AM), which makes complicated geometries and customized constructions possible. Nonetheless, there are so many interconnected variables that optimising mechanical properties is still difficult. To improve mechanical performance in AM, this work investigates AI-driven design optimization strategies. Tensile strength, material toughness, and weight reduction efficiency are predicted by utilizing machine learning models to analyze critical aspects like layer height, print speed, infill density, and extrusion temperature. Metrics like MSE, MAE, and R2 scores are used to compare the predictive accuracy of various AI models, such as neural networks, random forests, and support vector machines. The findings show that while using less material, AI-based optimization greatly increases structural integrity. The connections between print parameters and performance results are shown graphically. This study demonstrates how AI may simplify AM procedures, opening the door to more intelligent, high-performance manufacturing systems with improved productivity and material use. © 2025 IEEE.

关键词： Tensile strength

来源：评论

学校读者我要写书评

暂无评论

intelligent control of Air Combat Maneuvers Using Fuzzy Logic 11

Intelligent Control of Air Combat Maneuvers Using Fuzzy Logi...

引用

11th international conference on Mechatronics and Robotics engineering, ICMRE 2025

作者： Deif, Mohanad A. Hafez, Mohamed A. Attar, Hani Rezeka, S.F. Awad, T. Attia, E.M. Badawi, M.B. Research Institute of Sciences and Engineering University of Sharjah United Arab Emirates INTI-IU Universi Faculty of Engineering Feqs Nilai Malaysia Zarqua University Department of Energy Engineering Zarqa Jordan College of Engineering University of Business and Technology Jeddah21448 Saudi Arabia Alexandria University Faculty of Engineering Mechanical Engineering Department Alexandria Egypt Alexandria University Faculty of Engineering Mechanical Engineering Department El-Chatby Alexandria21544 Egypt Faculty of Computer Science and Engineering Department of Computer Science South Sinai Governorate El Tor Egypt

ISBN: (纸本)9798331509293

With the expanding capabilities of fighter aircraft in gauging their targets with great accuracy, comes the necessity that fighter pilots possess higher talents in making the correct decision. Because human error is frequently a barrier to making precise and timely decisions, a control mechanism is required to regulate the trajectory of aircraft during combat maneuvers. In this paper, a combat-maneuver fuzzy program is developed and applied to the inverse kinematics of the F-16 aircraft. The program produces a new path for the plane to achieve the maneuver such that the minimum distance between the resulting path and the object aircraft path is larger than a specified distance (critical distance). Also, spatial defensive maneuvers against spatial offensive maneuvers of bandits were realized, accordingly, this research emphasizes the importance of process innovation in the design of adaptive air combat control systems, enabling more effective response strategies. © 2025 IEEE.

关键词： Adaptive control systems

来源：评论

学校读者我要写书评

暂无评论

intelligent control Mechanisms for Renewable Energy Integration Using Machine Learning Models

Intelligent Control Mechanisms for Renewable Energy Integrat...

引用

2025 international conference on Pervasive Computational Technologies, ICPCT 2025

作者： Chahar, Suman Kaur, Kawaljit Kaswan, Kuldeep Singh Malik, Kiran University Institute of Computing Chandigarh University Mohali India Galgotias University Department of Computer Science and Engineering Greater Noida India Gl Bajaj Institute of Technology and Management Department of Computer Science and Engineering-AIML Greater Noida India

ISBN: (纸本)9798331508685

The deployment of renewable energy sources (RES) in power systems used to be a major challenge owing to their intermittent and uncertain nature. Therefore, in this paper, the use of ML models as an intelligent control system to improve the operation of RES is studied. We survey different types of ML approaches, covering supervised learning for energy predic- tion, unsupervised learning for clustering demand, reinforcement learning for energy storage management, and deep learning for real time data processing. The intent of these advanced control strategies are to balance and stabilize the grid, harmonize demand response, and augment energy storage. We highlight the use-cases and impacts of ML from real-world cases across various geographies, showing operational gains and peak-demand savings. While these technologies hold great promise, they also face challenges like data privacy, interpretability of models, and availability of high-quality datasets. Moving forward, there is a need to improve transparency of algorithms and to strengthen the collaboration of different stakeholders. Our work paves the way for a systematic and automated approach to renewable energy integration, which can serve as a critical factor to build a reliable and efficient future modern power systems with machine learning. © 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

Research on Novel intelligent Patient Call System Based on Surface Electromyography Recognition 24

Research on Novel Intelligent Patient Call System Based on S...

引用

8th international conference on Electronic Information Technology and computer engineering, EITCE 2024

作者： Xiao, Dongya Zhou, Zhenang Mei, Chudong Shu, Xinyan School of Electrical Engineering and Information Technology Changchun Institute of Technology Jilin Changchun China

ISBN: (纸本)9798400710094

A novel intelligent patient call system based on surface electromyography recognition is proposed to improve the performance of existing call systems which have the issues of fixed location, inconvenient calling and lack of real-time monitoring. The system uses the STM32 as the main control chip. Firstly, the overall scheme of the call system is designed. Secondly, the hardware of the call system is designed, consisting of the surface electromyography recognition module, basic vital signs detection module, and ZigBee wireless information transmission module. Then, the software process of the call system is designed. Finally, the experiment tests of the call system are carried out. The experiment results show that when using the point-to-point working mode, the data transmission success rate reaches 100% from the slave to the host, and when using the broadcast communication mode, the data transmission success rate is 95%, both of which meet the design specification requirements. The novel intelligent call system designed in this paper features straightforward calling operations. It can monitor the physical condition of the patients in real-time, and can transmit data to the control center wirelessly for analysis and processing, which can facilitate medical staff to grasp the condition of the patients in real-time. © 2024 Copyright held by the owner/author(s).

关键词： Zigbee

来源：评论

学校读者我要写书评

暂无评论

intelligent Charge controllers for EVs Using Whale Optimization Algorithm for Demand Management 1

Intelligent Charge Controllers for EVs Using Whale Optimizat...

引用

1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Jose, A. Sujin Ram, S Sakthiya Bharathi, C.R. Devarajan, M. Krishna, A.P. Jaya Madhan, A. New Horizon College of Engineering Department of Automobile Engineering Bangalore India Bannari Amman Institute of Technology Department of Electronics and Instrumentation Engineering Tamil Nadu Sathyamangalam India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Sethu Institute of Technology Department of Mathematics Tamil Nadu Virdhunagr India Sona College of Technology Department of Electronics and Communication Engineering Tamilnadu Salem India Velammal College of Engineering and Technology Department of Electrical and Electronics Engineering Tamilnadu Madurai India

ISBN: (纸本)9798331518578

This paper proposes the development of a smart charge controller for electric vehicles that may take advantage of the Whale Optimization Algorithm (WOA) to improve on energy efficiency and demand management. The technology optimized charging parameters through dynamic adjustment of the charging process in relation to the energy demand from the grid, SOC, and power pricing. This ability of WOA to balance between exploration and exploitation allows the controller to minimize thermal losses in systems and prevent battery degradation. Moreover, energy wastage is avoided so that the controller can ensure efficient energy utilization. The experiment results show that compared to the current charge controllers, a WOA-based controller would improve grid load management by 10%, reduce battery degradation by 15%, and increase efficiency in the utilization of energy by 20%. This system has the scalability as well as the real-time adaptability to changing requirements of batteries and grid conditions that would make it suitable for areas with high penetration of electric vehicles. This system outperforms the others by optimizing the load distribution necessary for optimal charging. © 2025 IEEE.

关键词： Battery management systems

来源：评论

学校读者我要写书评

暂无评论

Use neural Networks to Recognize Students' Handwritten Letters and Incorrect Symbols

Use neural Networks to Recognize Students' Handwritten Lette...

引用

2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Zhu, Jia Jun Yang, Zichuan Hong, Binjie Song, Jiacheng Wang, Jiwei Chen, Tianhao Yang, Shuilan Lan, Zixun Ma, Fei Department of Information and Computing Science Xi'an Jiaotong-Liverpool University Suzhou China School of Engineering Suzhou Centennial College Suzhou China Department of Applied Mathematics Xi'an Jiaotong-Liverpool University Suzhou China GROW Inc. Suzhou China EasyStack Inc. Nanjing China TAL Education Group Beijing China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Correcting students' multiple-choice answers is a repetitive and mechanical task that can be considered an image multi-classification task. Assuming possible options are 'abcd' and the correct option is one of the four, some students may write incorrect symbols or options that do not exist. In this paper, five classifications were set up - four for possible correct options and one for other incorrect writing. This approach takes into account the possibility of non-standard writing options. © 2025 SPIE.

关键词： Education and training Machine learning Data modeling Neural networks Image classification Visual process modeling computer vision technology Deep learning Performance modeling Transformers

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 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：