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

20,103 篇 会议
103 篇 期刊文献
50 册 图书

馆藏范围

20,256 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

14,207 篇 工学
- 11,478 篇 计算机科学与技术...
- 8,852 篇 软件工程
- 3,234 篇 信息与通信工程
- 2,496 篇 生物工程
- 2,263 篇 控制科学与工程
- 1,800 篇 电气工程
- 1,487 篇 生物医学工程（可授...
- 1,046 篇 机械工程
- 1,028 篇 光学工程
- 1,026 篇 电子科学与技术（可...
- 797 篇 安全科学与工程
- 777 篇 动力工程及工程热...
- 761 篇 交通运输工程
- 682 篇 仪器科学与技术
- 660 篇 化学工程与技术
- 483 篇 材料科学与工程（可...
6,783 篇 理学
- 3,489 篇 数学
- 2,659 篇 生物学
- 1,498 篇 统计学（可授理学、...
- 1,365 篇 物理学
- 844 篇 系统科学
- 738 篇 化学
4,237 篇 管理学
- 2,539 篇 管理科学与工程(可...
- 2,023 篇 图书情报与档案管...
- 1,280 篇 工商管理
1,434 篇 医学
- 1,287 篇 临床医学
- 1,240 篇 基础医学(可授医学...
- 764 篇 药学(可授医学、理...
- 631 篇 公共卫生与预防医...
693 篇 教育学
- 667 篇 教育学
560 篇 法学
487 篇 农学
450 篇 经济学
43 篇 军事学
27 篇 文学
8 篇 艺术学
1 篇 哲学

主题

1,325 篇 deep learning
1,124 篇 machine learning
832 篇 accuracy
557 篇 data mining
541 篇 support vector m...
526 篇 feature extracti...
431 篇 training
411 篇 data models
406 篇 convolutional ne...
398 篇 predictive model...
379 篇 internet of thin...
362 篇 real-time system...
328 篇 computational mo...
324 篇 neural networks
314 篇 big data
233 篇 reinforcement le...
200 篇 forecasting
180 篇 object detection
175 篇 machine learning...
170 篇 artificial intel...

机构

227 篇 chitkara univers...
64 篇 centre of interd...
54 篇 maharishi school...
43 篇 maharishi school...
34 篇 college of techn...
31 篇 pune
28 篇 school of comput...
28 篇 chitkara univers...
28 篇 the islamic univ...
28 篇 school of comput...
26 篇 karnataka bangal...
24 篇 computer science...
24 篇 computer science...
24 篇 uttaranchal inst...
23 篇 department of ar...
22 篇 graphic era deem...
22 篇 school of inform...
22 篇 department of in...
22 篇 national univers...
20 篇 department of co...

作者

23 篇 kukreja vinay
22 篇 gill kanwarparta...
21 篇 wang lei
20 篇 shiva mehta
19 篇 liu yang
18 篇 wang jing
16 篇 singh jagendra
15 篇 zhang tao
15 篇 malik bader alaz...
15 篇 joshi kapil
14 篇 yang yang
13 篇 zhang lei
13 篇 li yang
12 篇 meena belwal
12 篇 novais paulo
12 篇 li li
12 篇 zhang bo
11 篇 babu tina
11 篇 liu xin
11 篇 rupesh gupta

语言

15,418 篇 英文
4,818 篇 其他
126 篇 中文
3 篇 土耳其文
2 篇 西班牙文
1 篇 俄文

检索条件"任意字段=3rd International Conference on Intelligent Data Engineering and Automated Learning"

共 20256 条记录，以下是671-680 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：

Structural and Semantic data Layers in Time Series Analyses 25th

Structural and Semantic Data Layers in Time Series Analyses

引用

25th international conference on intelligent data engineering and automated learning

作者： Grass, Alexander Beecks, Christian Decker, Stefan Fraunhofer Inst Appl Informat Technol FIT St Augustin Germany Rhein Westfal TH Aachen Aachen Germany Univ Hagen Hagen Germany

ISBN: (纸本)9783031777301;9783031777318

Understanding the inherent complexity of temporal data is crucial for effective time series analytics. One dimension of complexity is the level of structural depth at which analysis methods operate. These levels range from entire time series collections down to individual sequences of reduced dimensionality and length. Complementary to this type of complexity, is the quantity and expressiveness of knowledge associated with time series data, including labels and other features that provide valuable information. Both, the structural as well as the semantic layer, define the suitability and effectiveness of different analysis methods. In this paper we introduce a conceptual framework to support the automated selection of analytical time series approaches. To this end, we specify a context-free grammar to describe hierarchies and compositions of time series data, while also defining different classes of semantic information, resulting in a data-specific classification of time series analysis methods. Along with a demonstration via concrete examples, we provide a discussion on challenges, opportunities and future work associated with the proposed approach.

关键词： Time Series data Analytics Knowledge Discovery

来源：评论

学校读者我要写书评

暂无评论

data Analysis and Anomaly Detection in a Wind Farm with k-Nearest Neighbors 25th

Data Analysis and Anomaly Detection in a Wind Farm with k-Ne...

引用

25th international conference on intelligent data engineering and automated learning

作者： Weiss, Bassel Esteban, Segundo Santos, Matilde Univ Complutense Madrid Dpto Arquitectura Computadores Automat Madrid 28040 Spain UCM Inst Knowledge Technol Madrid 28040 Spain

ISBN: (纸本)9783031777370;9783031777387

This paper presents an in-depth analysis of data from the Alpha Ventus offshore wind farm, emphasizing the identification and detection of anomalies in wind turbine performance. Utilizing real-world data from the RAVE (Research at Alpha Ventus) project, we explore the complexities of offshore wind energy generation, including the effects of wind speed, nacelle position, and environmental factors on turbine behaviour. In this paper, among the various machine learning techniques, we have selected k-nearest neighbours (k-NN), to identify patterns and detect anomalies indicative of potential issues. Our findings demonstrate that some turbines of the wind farm, centrally located, are subject to significant wake effects and operational irregularities. By adjusting the parameters of the k-NN model, we achieved an anomaly detection framework, enhancing the reliability of turbine operation and maintenance.

关键词： Offshore wind energy Anomaly detection Wind turbine data analytics Machine learning K-nearest neighbours Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

Research on the automatic crack detection system of asphalt pavement based on deep learning 24

Research on the automatic crack detection system of asphalt ...

引用

3rd international conference on Algorithms, data Mining, and Information Technology, ADMIT 2024

作者： Chi, Fengxia Wang, Yangyang Wei, Jintao Sun, Yihan Road Engineering Research Institute Zhejiang Scientific Research Institute of Transport Hangzhou Zhejiang China Key Laboratory of Road and Bridge Detection and Maintenance Technology Research of Zhejiang Province Zhejiang Hangzhou China Zhejiang University Zhejiang Hangzhou China

ISBN: (纸本)9798400718120

This study aims to develop a deep learning-based automatic asphalt pavement crack detection system to improve road maintenance efficiency and safety. Through detailed analysis of crack features, deep learning model is used for crack detection, and data processing, model training and optimization to ensure the efficient identification of the system in different scenarios. The experimental results show that the system has stability and reliability, providing strong technical support for road maintenance. © 2024 Copyright held by the owner/author(s).

关键词： Crack detection of asphalt pavement

来源：评论

学校读者我要写书评

暂无评论

intelligent Measurement and Control System Based on New Energy Vehicle Transmission 3

Intelligent Measurement and Control System Based on New Ener...

引用

3rd IEEE international conference on Electrical engineering, Big data and Algorithms, EEBDA 2024

作者： Ning, Yuze Li, Yan Zhang, Qingsong Chengde College of Applied Technology Hebei Chengde China City University Malaysia Petaling Jaya Malaysia

ISBN: (纸本)9798350380989

The transmission system of new energy vehicles is more complex than traditional fuel vehicles, involving multiple components such as electric motors, battery packs, and power electronic devices. For the performance and control technology of new energy vehicle transmissions, the article designs an intelligent measurement and control system and conducted experimental research on system performance. The experiment uses a laboratory environment and simulation platform, combined with the actual hardware equipment or simulation software of the new energy vehicle transmission for testing. By setting different working conditions and scenarios, the response speed and stability indicators of the system are evaluated and compared. Experimental results show that the response speed of this system is 0.1-0.4s. This study shows that the intelligent measurement and control system based on the transmission of new energy vehicles has the potential to improve response speed and stability, and provides useful reference and guidance for the performance optimization and intelligent development of new energy vehicles. © 2024 IEEE.

关键词： Automobile Transmission intelligent Measurement and Control System New Energy Vehicle PID Control Algorithm

来源：评论

学校读者我要写书评

暂无评论

AI-Enhanced Water Quality Monitoring System with Anomaly Detection and Predictive Maintenance Using Generative AI 3

AI-Enhanced Water Quality Monitoring System with Anomaly Det...

引用

3rd international conference on intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Shashikala, K.S. Balasubramanian, P. Chinmai Ruchitha, M. Muni Prajwal, S. New Horizon College of Engineering Department of Aiml Bengaluru India

ISBN: (纸本)9798331515911

Water quality monitoring is crucial for safeguarding public health and preserving water resources. Traditional monitoring systems often lack real-time analysis capabilities and predictive maintenance features, limiting their effectiveness in promptly addressing water quality issues. This paper introduces an advanced IoT-based water quality monitoring system that leverages Generative Adversarial Networks (GANs) for data augmentation, predictive maintenance, and anomaly detection. The proposed system employs an ESP32 microcontroller equipped with pH, TDS, turbidity, and temperature sensors to gather water quality data. By integrating machine learning techniques, particularly GANs, our system aims to shift towards a more proactive approach. GANs not only enhance the dataset for training purposes but also improve the robustness of predictive models. This innovation allows for early detection of potential sensor failures and water quality anomalies, thereby enabling timely interventions. Moreover, the use of GANs helps in generating synthetic data that mimics real-world scenarios, further strengthening the system's predictive capabilities. This ensures that the models are well-equipped to handle diverse and unforeseen situations. Ultimately, this proactive methodology contributes to maintaining consistent water quality and preventing possible health hazards, fostering greater trust in water management systems. © 2025 IEEE.

关键词： Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

Optimized data Augmentation and Lightweight Models for Brain Tumor Segmentation and Classification in Low-Resource Settings 3

Optimized Data Augmentation and Lightweight Models for Brain...

引用

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

作者： Venu Gopal, S. Kavitha, C.H. Jawaharlal Nehru Technological University Andhra Pradesh Kakinada533003 India Department of Information Technology ACE Engineering College Ankushapur Telangana Ghatkesar501301 India Department of Information Technology Sheshadri Rao Knowledge Gudlavalleru Andhra Pradesh Vijayawada521356 India

ISBN: (纸本)9798331527549

Accurate classification and segmentation of brain tumors are crucial in medical imaging, yet they present significant challenges, particularly in resource-limited settings with limited data and computational power. This study tackles these issues through two primary strategies: adaptive data augmentation and lightweight neural network models. Adaptive data augmentation improves the diversity and quality of medical images using techniques such as geometric transformations, intensity adjustments, and synthetic data generation. By customizing these augmentations to specific tumor characteristics and imaging conditions, this approach enhances model performance even with smaller datasets. To facilitate real-time tumor classification and segmentation while minimizing computational demands, we developed lightweight neural network models. These models utilize streamlined architectures, including depthwise separable convolutions and attention mechanisms, achieving high accuracy and efficiency, making them well-suited for deployment in low- resource environments. Additionally, quantization and pruning techniques effectively reduce the size and complexity of the neural networks without compromising performance. Experimental results indicate that these methods significantly improve segmentation accuracy and classification precision across various MRI datasets. This research underscores the potential of adaptive augmentation and efficient neural network designs to provide advanced diagnostic capabilities in resource-constrained settings. Future work will investigate the integration of these techniques with federated learning and explainable AI to further enhance reliability and clinical applicability. © 2025 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Design of intelligent System for Puzzle Games Based on Machine learning 3

Design of Intelligent System for Puzzle Games Based on Machi...

引用

3rd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Jiang, Xinli Fu, Peng Center Of Well-being Training Changchun Humanities And Sciences College Changchun China

ISBN: (纸本)9798350318609

In terms of data processing in puzzle games, this research paper studies and implements a set of data table workflows, with the aim of improving the flexibility of data configuration and increasing the convenience of data export, runtime loading, and data usage. This article implements a puzzle game framework that encapsulates the underlying modules and provides support for the upper logic modules. The three most important and commonly used modules in game frameworks are: state machine module, resource management module, and log module. The research results indicate that based on the puzzle game framework, the development efficiency of logical functions has been greatly improved, and the portability of the code has been greatly enhanced. Through overall testing, it can be seen from the overall performance that the game client is running well, and all parts meet the expected requirements. It also meets the requirements in non-functional aspects such as performance. © 2024 IEEE.

关键词： intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Predictive Modeling of Environmental Parameters Using Ensemble Machine learning Techniques 3

Predictive Modeling of Environmental Parameters Using Ensemb...

引用

3rd international conference on Communication, Control, and intelligent Systems, CCIS 2024

作者： Ponselvakumar, A.P. Mirthula, R.E. BarathKumar, M. Chindrella, S. Kongu Engineering College Dept. of Information Technology Erode India

ISBN: (纸本)9798331528201

Air quality monitoring plays a major role in safeguarding public health as well as environmental sanity. Present air quality monitoring approaches usually depend on apparatus and their high costs may hinder their availability and use. In this research, we propose a new machine learning based approach to estimate an air quality index (AQI). Specifically, we explore the application of random forests (RF), gradient boosting (GB) and majority voting proof (VC) for AQI estimation from data comprising several different environmental variables. We begin by preparing data for cleaning and normalization. There are specific features that define corresponding AQI predictors. Then we trained several learning machines including RF, GB and VC in order to assess the performance of AQI prediction. The model's performance is evaluated on a competition table basis. This enables hyperparameters adjustment via the competition table hence helps identify the best setup model. AQI prediction *** primary findings were that random forest models as well as gradient boosting have good predictive power while this system gains more strength when combining all three models together;vote-based one. These findings suggest that machine learning has great potential for improving air pollution control measures throughout broader sectors across the globe which will also increase its efficiency in several other goods/services areas including energy conservation programs. © 2024 IEEE.

关键词： Random forests

来源：评论

学校读者我要写书评

暂无评论

Design and implementation of career planning system based on machine learning 3

Design and implementation of career planning system based on...

引用

3rd IEEE international conference on Electrical engineering, Big data and Algorithms, EEBDA 2024

作者： Sun, Chendao Jilin Communications Polytechnic Jilin China

ISBN: (纸本)9798350380989

To better cater to the needs of job seekers and provide enhanced career development directions, this study proposes a novel employment guidance and career planning system integrating machine learning algorithms, along with the creation of a career matchmaking framework. Firstly, leveraging the RippleNet algorithm model, we construct a knowledge graph-based career planning recommendation system. The system-building process involves investigating key technologies in data processing and recommendation algorithms. Subsequently, through the implementation of database security design, we ensure the information security of users within the system, thereby maintaining the efficient operation of the system. The results indicate that the system is well-functioning, exhibits stable performance, and is capable of meeting the fundamental requirements of a career planning system. © 2024 IEEE.

关键词： career planning system machine learning algorithms recommendation system RippleNet algorithm

来源：评论

学校读者我要写书评

暂无评论

Real-Time Sign Language and Audio Conversion Using AI 3

Real-Time Sign Language and Audio Conversion Using AI

引用

3rd international conference on Communication, Control, and intelligent Systems, CCIS 2024

作者： Boobal, A. Loyola Jasmine, J. Reddy, Chennama Charan Kesava Reddy, Challa Akshay Sai Rohith, Chaluvadi Bala Venkata Kalasalingam Academy of Research and Education Department of Computer Science and Engineering TamilNadu Virudhnagar India

ISBN: (纸本)9798331528201

The appearance of audio conversion and the appearance of gesture language have greatly advanced communication technologies, especially for hearing impairment and blind. These double -purpose technologies promote communication between these groups, provide opportunities for expression and speech behind. The technology uses advanced artificial intelligence algorithms to provide real-time speech and sign language translation to improve accessibility and inclusivity. It is essential to protect data privacy, maintain the accuracy of AI models to avoid misinterpretations, and address ergonomic issues associated with long-term use. Technology converts audio entry into a gestic signal that can be seen by avatars using computer vision and natural language processing. There is a depth learning model that improves voice recognition and the acquisition of signs, and is fully adapted to many languages and sign dialects. Addressing such health and safety issues is essential to advancing the communication and optimization of this advanced technology. © 2024 IEEE.

关键词： Convolutional neural networks

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 << < 64 65 66 67 68 69 70 71 72 73 > >>

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：