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

60,551 篇 会议
169 篇 期刊文献
1 册 图书

馆藏范围

60,721 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

41,067 篇 工学
- 19,636 篇 计算机科学与技术...
- 16,412 篇 软件工程
- 16,311 篇 控制科学与工程
- 9,257 篇 电气工程
- 7,816 篇 机械工程
- 6,041 篇 信息与通信工程
- 5,996 篇 电子科学与技术（可...
- 3,876 篇 动力工程及工程热...
- 3,780 篇 仪器科学与技术
- 2,616 篇 生物工程
- 2,481 篇 化学工程与技术
- 2,278 篇 生物医学工程（可授...
- 2,274 篇 交通运输工程
- 2,127 篇 力学（可授工学、理...
- 2,116 篇 光学工程
- 1,799 篇 土木工程
- 1,618 篇 材料科学与工程（可...
- 1,567 篇 安全科学与工程
- 1,515 篇 建筑学
- 1,430 篇 石油与天然气工程
20,304 篇 理学
- 11,259 篇 数学
- 5,718 篇 物理学
- 3,660 篇 系统科学
- 2,870 篇 生物学
- 2,720 篇 统计学（可授理学、...
- 2,159 篇 化学
8,488 篇 管理学
- 6,850 篇 管理科学与工程(可...
- 2,367 篇 工商管理
- 1,997 篇 图书情报与档案管...
1,574 篇 医学
- 1,398 篇 临床医学
1,101 篇 经济学
896 篇 法学
679 篇 农学
379 篇 教育学
248 篇 军事学
197 篇 文学
104 篇 艺术学
14 篇 历史学
9 篇 哲学

主题

2,466 篇 automation
1,304 篇 control systems
1,148 篇 robot sensing sy...
1,107 篇 robots
978 篇 feature extracti...
923 篇 mathematical mod...
900 篇 mobile robots
855 篇 computer science
775 篇 computational mo...
750 篇 accuracy
716 篇 training
709 篇 robotics and aut...
706 篇 optimization
680 篇 cameras
679 篇 robustness
613 篇 conferences
609 篇 trajectory
601 篇 robot kinematics
553 篇 neural networks
511 篇 predictive model...

机构

1,323 篇 school of automa...
467 篇 school of automa...
325 篇 school of electr...
213 篇 school of mechat...
190 篇 school of electr...
178 篇 college of infor...
163 篇 school of electr...
149 篇 school of automa...
144 篇 college of elect...
141 篇 wuhan university...
140 篇 college of autom...
125 篇 college of autom...
116 篇 karnataka bangal...
94 篇 department of au...
92 篇 faculty of infor...
85 篇 school of contro...
84 篇 school of automa...
82 篇 harbin institute...
82 篇 school of inform...
74 篇 department of au...

作者

91 篇 li li
70 篇 wang lei
66 篇 valeriy vyatkin
65 篇 zhang tao
63 篇 li yang
61 篇 li xin
60 篇 yang jun
58 篇 china
54 篇 zhang lei
48 篇 wang hui
44 篇 yu wang
42 篇 li peng
42 篇 jun wang
42 篇 wang wei
41 篇 wang jing
41 篇 jing zhang
38 篇 bin wang
37 篇 jian wang
37 篇 jun zhang
35 篇 lei wang

语言

58,011 篇 英文
1,394 篇 其他
1,339 篇 中文
6 篇 西班牙文
4 篇 法文
3 篇 土耳其文
1 篇 德文
1 篇 葡萄牙文

检索条件"任意字段=IEEE Conference on Automation Science and Engineering"

共 60721 条记录，以下是221-230 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：

Cloud-Based AI Solutions for Personal Finance Management

Cloud-Based AI Solutions for Personal Finance Management

引用

2025 International conference on Pervasive Computational Technologies, ICPCT 2025

作者： Chhabra, Gurpreet Kaur Mishra, Ashutosh Kumar Tyagi, Varsha Mani, Chandra Tyagi, Vani Sagar, Pramod Kumar Management Education and Research Institute Department of Management Delhi India Srm Business School Department of Management UP Lucknow India Raj Kumar Goel Institute of Technology Computer Science & Engineering UP Ghaziabad India Mangalmay Institute of Engineering & Technology Computer Science & Engineering Greater Noida India

ISBN: (纸本)9798331508685

Cloud-based AI answers for private finance control are out-of-the-field tools that leverage synthetic intelligence and cloud computing technologies to manage people's money higher. In this article, I have described various solutions with features ranging from budgeting to personalized financial planning and investment suggestions. Utilizing superior system learning algorithms and cloud-based AI solutions can help understand an individual's fiscal information, including expenses, profits, or savings transactions, for generating personalized insights and advice. This lets people learn about their spending habits and make more informed financial choices. Through the power of the cloud, these solutions can securely store and access financial data from multiple devices, which helps individuals, manage their finances on the go easily. It also enables the client to get real-time updates and notifications, which offers him more comprehensive knowledge regarding his existing financial scenario. These offerings also come with more automation features like reminders to pay payments and computerized enough transfers for a price range, keeping customers from spending further effort and time on their funds. They also offer financial advisors, tax planning tools, and wealth management. © 2025 ieee.

关键词： Decentralized finance

来源：评论

学校读者我要写书评

暂无评论

MEIC: Re-thinking RTL Debug automation using LLMs 24

MEIC: Re-thinking RTL Debug Automation using LLMs

引用

43rd International conference on Computer-Aided Design, ICCAD 2024

作者： Xu, Ke Sun, Jialin Hu, Yuchen Fang, Xinwei Shan, Weiwei Wang, Xi Jiang, Zhe National Center of Technology Innovation for EDA School of Integrated Circuits Southeast University China Department of Computer Science University of York United Kingdom

ISBN: (纸本)9798400710773

The deployment of Large Language Models (LLMs) for code debugging (e.g., C and Python) is widespread, benefiting from their ability to understand and interpret intricate concepts. However, in the semiconductor industry, utilising LLMs to debug Register Transfer Level (RTL) code is still insufficient, largely due to the underrepresentation of RTL-specific data in training sets. This work introduces a novel framework, Make Each Iteration Count (MEIC), which contrasts with traditional one-shot LLM-based debugging methods that heavily rely on prompt engineering, model tuning, and model training. MEIC utilises LLMs in an iterative process to overcome the limitation of LLMs in RTL code debugging, which is suitable for identifying and correcting both syntax and function errors, while effectively managing the uncertainties inherent in LLM operations. To evaluate our framework, we provide an open-source dataset comprising 178 common RTL programming errors. The experimental results demonstrate that the proposed debugging framework achieves fix rate of 93% for syntax errors and 78% for function errors, with up to 48x speedup in debugging processes when compared with experienced engineers. The Repo. of dataset and code: https://***/SEU-ACAL/reproduce-MEIC-ICCAD. © 2024 Copyright is held by the owner/author(s).

关键词： Program debugging

来源：评论

学校读者我要写书评

暂无评论

BCViMer 1.0: A Deep Network Pipeline for the Identification of Breast Cancer Using MRI Data 3

BCViMer 1.0: A Deep Network Pipeline for the Identification ...

引用

3rd ieee International conference on Industrial Electronics: Developments and Applications, ICIDeA 2025

作者： Das, Tejaswini Ratha, Ashis Kumar Dash, Sushree Sasmita Pandey, Rakesh Mohanty, Sabyasachi Nayak, Debasish Swapnesh Kumar Utkal University Department of Statistics Bhubaneswar India School of Computer science and Engineering IILM University Uttar Pradesh Greater Noida India IIMT College of Engineering Department of AI & DS Greater Noida India Centurion University of Technology and Management Department of Computer Science and Engineering Bhubaneswar India

ISBN: (纸本)9798331533205

Breast cancer ranks among the foremost causes of cancer-related deaths in women globally, with early diagnosis via advanced imaging techniques significantly enhancing patient outcomes. Convolutional neural networks (CNNs) demonstrate considerable potential in the automation of breast cancer detection. Nonetheless, their constrained capacity to capture global image features may hinder their performance. This study presents BCViMer 1.0, a deep learning pipeline utilizing the Vision Transformer (ViT) to overcome existing limitations and enhance breast cancer classification accuracy from MRI images. This research aimed to assess the efficacy of BCViMer 1.0 relative to established CNN architectures, specifically ResNet-50, ResNet-101, VGG-16, and VGG-19. Experimental results indicate that BCViMer 1.0 excels these CNN models, attaining an average classification accuracy that is 4.15% higher. The enhanced performance of BCViMer 1.0 is due to its capacity to capture long-range dependencies and global context in MRI images, facilitated by the self-attention mechanism of the ViT. In conclusion, BCViMer 1.0 exhibits superior diagnostic accuracy compared to conventional CNN-based models, representing a significant advancement in breast cancer detection. This study emphasizes the capabilities of Vision Transformers in medical imaging and establishes a basis for future investigation in clinical applications. © 2025 ieee.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Automating Power System Optimization and Analysis Through ETAPPy Integration

Automating Power System Optimization and Analysis Through ET...

引用

2025 ieee SoutheastCon, SoutheastCon 2025

作者： Rooker, Elias Keshtkar, Hessam Mohammadi, Farideh Doost Department of Physics Computer Science and Engineering Newport NewsVA United States

ISBN: (纸本)9798331504847

This paper introduces a novel algorithm developed using EtapPy to optimize power system settings, focusing on reducing short circuit currents and improving overall system efficiency. The study utilizes a modified ieee 9-Bus microgrid system, incorporating renewable energy sources such as wind and solar energy. Unlike traditional approaches, this study pioneers a rare and innovative integration of Python with E TAP, unlocking the potential for significantly more autonomous features within ETAP's framework. As a proof of concept, the algorithm automates the adjustment of transformer settings in the modeled microgrid system, demonstrating its capability to streamline system optimization processes. The results validate that by enabling automated adjustments and analyzing their effects through short circuit studies, this method lays the groundwork for more comprehensive and complex automation in future power system optimization efforts. © 2025 ieee.

关键词： Solar fuels

来源：评论

学校读者我要写书评

暂无评论

Augmenting Human Decision-Making: Exploring AI-Driven automation in IT Operations (AIOps) for Enhanced Efficiency and Innovation 4

Augmenting Human Decision-Making: Exploring AI-Driven Automa...

引用

4th International conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Lakshmi Kumar, Tukkisetty Vasantha Naresh, Tippa Ganesh, Chunduru Saran Varma, Chekuri Tarun Raju, K.V. Hema, Chindu Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Vaddeswaram India

ISBN: (纸本)9798331523923

This article analyzes how artificial intelligence (AI) has changed the IT industry, ushering in an age of unmatched technical growth and new potential for human-AI communication. Through a detailed research, it explores the complex dynamics of AI integration in IT operations, examining the likelihood that AI may supplant people in the workforce and highlighting the complexities and challenges that accompany this paradigm change. By examining present AI technologies, such as machine learning, deep learning, natural language processing, and data science, and emphasizing both the benefits and imminent obstacles, this article discusses the complex environment of AI adoption in IT. It also digs thoroughly into the legal frameworks, social repercussions, and ethical challenges that must be overcome in order to govern the AI-driven revolution of the IT industry. Through this research, the article wants to peacefully cohabit human knowledge with AI talents, opening up new paths for creativity, productivity, and sustainable development in the digital age. © 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

Safe Reinforcement Learning for Social Motor Coordination in Two Dimensional Space 26

Safe Reinforcement Learning for Social Motor Coordination in...

引用

26th International conference on Industrial Technology, ICIT 2025

作者： Yang, Fan Huang, Yuening Zhai, Chao Zhang, Hehong China University of Geosciences School of Automation Wuhan Campus China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Rice University George R. Brown School of Engineering and Computing HoustonTX United States Fuzhou University School of Computer and Data Science Fuzhou China

ISBN: (纸本)9798331521950

This paper presents an interactive motion control method based on reinforcement learning, designed to assist children with autism who have social motor impairments through a mirror game intervention. The virtual teacher uses the Deep Deterministic Policy Gradient (DDPG) algorithm to optimize its actions, guiding the participant to follow a Lissajous trajectory. To ensure safety, a motion-correction mechanism was developed, which automatically adjusts actions when the predicted trajectory surpasses predefined safety boundaries. The reward function considers both the distance between the virtual teacher and the target trajectory, as well as the distance between the virtual teacher and the participant, with dynamic adjustments applied by the motion-correction mechanism. Experimental results demonstrate that the virtual teacher effectively guides the participant towards the target trajectory while adhering to safety constraints. © 2025 ieee.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Highly Reliable Information Interaction and Sharing Based on Distributed Collaboration Communication 26

Highly Reliable Information Interaction and Sharing Based on...

引用

26th International conference on Industrial Technology, ICIT 2025

作者： Xu, Mingxuan Song, Haifeng Wu, Shourong Zhou, Min Dong, Hairong School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China School of Electronic and Information Engineering Beihang University Beijing100191 China Institute of Computing Technology China Academy of Railway Sciences Corporation Limited Beijing10081 China Design Institute of Signal & Communication Beijing National Railway Research Beijing100070 China School of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao266590 China

ISBN: (纸本)9798331521950

To improve the operational efficiency and reliability of high-speed trains (HSTs), the Automatic Train Control System has received considerable attention. Train-to-Train (T2T) communication is one of the critical technologies for autonomous train operation. However, the development of T2T communication technology still faces many challenges, particularly regarding communication distance limitations and reliability issues. To address these challenges, this paper introduces an innovative T2T collaborative communication model for HSTs, focusing on highly reliable information interaction and sharing in distributed collaboration environments. The model employs dynamic and static nodes to enable direct T2T information exchange. Using formal verification and state space analysis to ensure the system's reliability and performance. A Build-in-Test (BIT) mechanism is implemented for fault detection and isolation, enhancing the reliability of the system. By analyzing the performance indicators of the system in different scenarios, the reliability of the system was verified. © 2025 ieee.

关键词： Signaling

来源：评论

学校读者我要写书评

暂无评论

A Scalable Privacy Preservation Block Chain-Based Method for Smart Healthcare System 3

A Scalable Privacy Preservation Block Chain-Based Method for...

引用

3rd ieee International conference on automation and Computation, AUTOCOM 2025

作者： Dongre, Shubhangi Saxena, Kanak Raghuwanshi, Sandeep Dept. of Computer Science and Engineering Sati Vidisha India Synechron Pvt. Ltd India

ISBN: (纸本)9798331542375

In this study, we propose a scalable privacypreserving blockchain mechanism for smart healthcare systems. The rapid digitization of medical data has made security, scalability, and privacy vital. This approach minimizes risks associated with sensitive healthcare information by utilizing the decentralized architecture of blockchain to create a secure, transparent, and efficient healthcare information management platform. The system showed an increase in transaction throughput, a reduction of the latency, and an enhancement in energy efficiency compared with traditional approaches through simulations. Moreover, state-of-the-art cryptographic approaches provided strong privacy protection by reducing the risk of data leaks and malicious access. Smart contract implementation further optimized operations by facilitating secure and automated healthcare workflows. This method solves the growing issues in the area of managing healthcare data while delivering a much more scalable, secure, and patient-centric solution for contemporary healthcare systems. © 2025 ieee.

关键词： Sensitive data

来源：评论

学校读者我要写书评

暂无评论

Advancing Visual Marketing Strategies Through Deep Learning-Based Image Recognition for Improved Customer Engagement and Brand Visibility 3

Advancing Visual Marketing Strategies Through Deep Learning-...

引用

3rd ieee International conference on automation and Computation, AUTOCOM 2025

作者： Pandiri, Ramu Nnadhini, T.J. Velmurugan, R. Menaga, A. Karpagam, J. Vinothkumar, K. Infomatics Corp DallasTX United States Department of Computer Science and Engineering Chennai India Karpagam Academy of Higher Education Coimbatore India St Joseph's College of Engineering Department of Mba Chennai India Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Coimbatore India Psna College of Engineering and Technology Department of Ece Dindigul India

ISBN: (纸本)9798331542375

This paper aims at analyzing the effectiveness of utilizing deep learning-based image recognition in enhancing the visual marketing thereby determining the extent to which clients' attention and brand awareness are likely to be affected. It uses convolutional neural networking (CNN) to analyze and classify the visual content and the models used include VGG16, ResNet50, InceptionV3. An effective implementation of the data gathering, feature engineering, and algorithm development can be seen in the enhancing of the marketing effectiveness. This entails better accuracy of images in classification. This involves gaining high engagement rates from the customers. probabilities of high visibility of the brands across the various platforms. The study points at the possibility of deep learning technologies in changing visual marketing practices and therefore serves as a useful reference guide to business entity that wish to align themselves with adequate marketing practices in the growing digital landscape. © 2025 ieee.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Integrating NLP for Intelligent Cybersecurity Risk Detection from Bulletins

Integrating NLP for Intelligent Cybersecurity Risk Detection...

引用

2025 International conference on Computing for Sustainability and Intelligent Future, COMP-SIF 2025

作者： Mondal, Kalimuddin Ebenezar, U. Samson Karthikeyan, L. Gururama Senthilvel, P. Preetham, B.S. Simats Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India Saveetha University Department of Computer Science and Engineering Chennai India Ms Ramaiah Institute of Technology Department of Medical Electronics Bangalore India

ISBN: (纸本)9798331538538

The rate of developed threats increases and poses challenges when it comes to the recognition of the risks and measures to be taken. Current cybersecurity risk assessment is mainly done using word-of-mouth through reviewed security announcements, vulnerable product or service reports, and threat intelligence data feeds, all of which are time-consuming and often contain human errors. The use of Natural Language Processing (NLP) in cybersecurity brings the efficiency of automation where text information is analyzed with the aim of identifying and categorizing threats in real time. In this paper, NLP techniques including Named Entity Recognition (NER), sentiment analysis and topic modelling are used to analyze the security bulletins and determine the security threats. Supervised, semi-supervised, and unsupervised learning methods of the NLP system can bene fit to mine adequate security-related text data, identify suitable patterns and or make forecasts of susceptible vulnerabilities. The proposed framework is primarily a framework to improve threat intelligence through vulnerability, attack vectors, and related systems connection. In addition, NLP-based risk identification also has several advantages: it increases the accuracy of risk identification and decreases the time for risk detection, as well as strengthens cybersecurity infrastructure. The paper demonstrates that by applying the technique of IBM security bulletins, organizations can reduce the risks and improve the controls effectively. The paper concludes with areas of future work in enhancing the application of NLP techniques in cybersecurity with an agreement on the idea of adaptive models that reflects the dynamic and ever-changing nature and trends of cyber threats. © 2025 ieee.

关键词： Deep learning

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 << < 19 20 21 22 23 24 25 26 27 28 > >>

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：