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

2,920 篇 会议
19 篇 期刊文献
14 册 图书

馆藏范围

2,953 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,960 篇 工学
- 1,321 篇 计算机科学与技术...
- 946 篇 软件工程
- 815 篇 信息与通信工程
- 549 篇 电气工程
- 286 篇 控制科学与工程
- 261 篇 电子科学与技术（可...
- 190 篇 仪器科学与技术
- 172 篇 生物医学工程（可授...
- 160 篇 机械工程
- 160 篇 生物工程
- 110 篇 网络空间安全
- 96 篇 光学工程
- 91 篇 动力工程及工程热...
- 77 篇 材料科学与工程（可...
- 75 篇 化学工程与技术
- 70 篇 石油与天然气工程
- 58 篇 交通运输工程
- 51 篇 安全科学与工程
862 篇 理学
- 458 篇 数学
- 261 篇 物理学
- 184 篇 生物学
- 139 篇 化学
- 138 篇 统计学（可授理学、...
- 66 篇 系统科学
397 篇 管理学
- 236 篇 管理科学与工程(可...
- 196 篇 图书情报与档案管...
- 81 篇 工商管理
222 篇 医学
- 197 篇 临床医学
- 115 篇 基础医学(可授医学...
- 81 篇 药学(可授医学、理...
38 篇 法学
30 篇 经济学
23 篇 农学
18 篇 教育学
14 篇 军事学
3 篇 文学

主题

223 篇 signal processin...
117 篇 signal processin...
101 篇 data mining
76 篇 feature extracti...
68 篇 big data
67 篇 digital signal p...
57 篇 data acquisition
54 篇 signal to noise ...
50 篇 machine learning
48 篇 deep learning
46 篇 data models
40 篇 support vector m...
34 篇 training
32 篇 electroencephalo...
31 篇 data processing
31 篇 real-time system...
30 篇 array signal pro...
28 篇 image processing
28 篇 accuracy
26 篇 neural networks

机构

49 篇 maharishi school...
37 篇 centre of interd...
16 篇 department of ar...
15 篇 vishwakarma inst...
12 篇 department of el...
12 篇 department of co...
11 篇 department of sc...
11 篇 vivekananda glob...
9 篇 department of co...
8 篇 department of el...
8 篇 chitkara univers...
8 篇 prince shri venk...
8 篇 prince shri venk...
8 篇 key laboratory o...
8 篇 vivekananda glob...
8 篇 department of el...
7 篇 school of comput...
7 篇 key laboratory o...
7 篇 american interna...
7 篇 insight sfi rese...

作者

7 篇 md. rifat hazari
7 篇 hamdulla askar
7 篇 chakravarthi bha...
6 篇 kumaresan prasan...
6 篇 ablimit mijit
6 篇 ahmad tohari
6 篇 gao yanxia
6 篇 liu yiwen
5 篇 abir ahmed
5 篇 vikrant bhateja
5 篇 suresh chandra s...
5 篇 wang wei
5 篇 bekkay hajji
5 篇 chang chin-chen
5 篇 ramakrishnan ram...
5 篇 md. saniat rahma...
5 篇 zhang ying
4 篇 li li
4 篇 priyadharshini r...
4 篇 liu xin

语言

2,866 篇 英文
80 篇 其他
15 篇 中文
1 篇 俄文

检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

共 2953 条记录，以下是41-50 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：

Optimizing Stroke Prediction in Machine Learning by Addressing data Imbalance 3

Optimizing Stroke Prediction in Machine Learning by Addressi...

引用

3rd international signal processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Wang, Jiacheng Gu, Hanwen Gu, Hong School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing China University of Washington Department of Bioengineering Seattle United States

ISBN: (纸本)9798350307023

Brain strokes, responsible for about 11% of global deaths annually according to the World Health Organization, pose significant health challenges. Machine learning aids in early stroke risk prediction and personalized assessment, optimizing medical resource allocation. However, the low frequency of stroke cases in datasets poses challenges for accurate stroke prediction by these models. Addressing this data imbalance is key for effective prediction. This article focuses on: (i) analyzing machine learning outcomes on imbalanced stroke dataset;(ii) comparing methods to address data imbalances;and (iii) using Automated Machine Learning (AutoML) techniques to achieve high accuracy while realistically identifying stroke incidents. The results demonstrate that the application of Random Under Sampling (RUS) was instrumental in identifying the top-performing model, which showed superior performance in stroke prediction. © 2023 IEEE.

关键词： data handling

来源：评论

学校读者我要写书评

暂无评论

A Comparison of Different signal processing Techniques for Upper Limb Muscle Activity Onset Detection using Surface Electromyography 3

A Comparison of Different Signal Processing Techniques for U...

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Koppolu, Pratap Kumar Chemmangat, Krishnan NIT Karnataka Surathkal Electrical & Electronics Engineering Department Mangalore575025 India

ISBN: (纸本)9798350320749

This work presents the use of real-time experimental Surface Electromyography (sEMG) signals to determine muscle activity of upper limb by detecting the exact onset and offset timings. Various muscle activity detection methods were evaluated, such as Sample Entropy (SEn), Permutation Entropy (PEn), Amplitude Aware Permutation Entropy (AAPEn), and Integrated Profile (IP). The performance of these methods was compared, and it was found that IP detects muscle activity quickly and requires less computation for real-time implementation as compared to other methods. © 2023 IEEE.

关键词： Muscle

来源：评论

学校读者我要写书评

暂无评论

Design and Research of High Resolution Satellite Image data Receiving and processing System Based on RS Error Correction Coding 3

Design and Research of High Resolution Satellite Image Data ...

引用

3rd IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2023

作者： Yan, Tao Lu, Xiaojun He, Yifeng China Academy of Space Technology xi'An Xi'an China

ISBN: (纸本)9781665472784

Firstly, this paper studies the overall structure, key technologies and core hardware design of the high-resolution satellite image data receiving and processing system. The system adopts a real-time parallel image data receiving and processing algorithm based on RS error correction coding. At the same time, according to the characteristics of a single chip, combined with software design, the system has made corresponding research on RS decoding, noise reduction and signal processing software, and has carried out effective scheme and simulation verification design for different needs. The system can provide users with an intuitive and accurate user experience by using real-time point to point data transmission and automatic analysis of processing results for calculation. Image signal has rich and bright color expression and clarity. Compared with similar data sources, the spatial resolution is greatly improved. In traditional image processing, channel coding is the simplest and most convenient coding method, but it is more serious for low noise and inter symbol interference;Now, the satellite image data processing is basically to compress and store the collected data, decode and compress them, and then upload them. In this way, the decoder and storage device do not need to work at the same time, and the computing resources are greatly increased. © 2023 IEEE.

关键词： Software design

来源：评论

学校读者我要写书评

暂无评论

Visual Analysis of Time Series data for Multi-Agent Systems Driven by Large Language Models 24

Visual Analysis of Time Series Data for Multi-Agent Systems ...

引用

3rd international conference on signal processing, Computer Networks and Communications, SPCNC 2024

作者： Xu, Chao Zhang, Qi Li, Baiyan Wang, Anmin Bao, Jingsong College of Computer Science and Technology Donghua University Shanghai China College of Mechanical Engineering Donghua University Shanghai China

ISBN: (纸本)9798400710834

The application of digitalization in manufacturing involves using sensors to collect and transmit large amounts of data in real-time. These complex, timestamped sequence data require effective analytical support to drive the generation of analysis summaries. Visual analysis helps researchers identify hidden patterns by intuitively displaying complex data, but its implementation relies on specialized knowledge and a deep understanding of data analysis techniques. Moreover, the analysis process often requires users to recall and process large amounts of information, which increases the complexity of the analysis. Therefore, there is an increasing demand for intelligent visual analysis technology. Large language models, with their powerful reasoning, summarization, and code generation capabilities, provide the possibility of visual analysis for general users. We propose a large language model-based multi-agent framework that integrates domain knowledge to achieve an automated data analysis workflow, from data acquisition to analysis summarization, helping users extract valuable analytical results from complex data and improving both efficiency and experience. © 2024 Copyright held by the owner/author(s).

关键词： Interactive data Analysis

来源：评论

学校读者我要写书评

暂无评论

Hybrid EEG signal processing Framework for Driver Drowsiness Detection Using QWT, EMD, and Bayesian Optimized SVM 3

Hybrid EEG Signal Processing Framework for Driver Drowsiness...

引用

3rd international conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Sardesai, Shilpa Gedam, Rahul Pune India Lcit Department of Electronics and Telecommunication Bilaspur India

ISBN: (纸本)9798331508456

Drowsiness among drivers poses an urgent safety problem in road transportation because it creates serious risks to both drivers and their passengers. Carrying out prolonged driving operations creates a mind state between full wakefulness and sleep. The research presents a new supervised learning approach to evaluate sleep stages which helps detect driver sleepiness and trigger prompt alerts. A deep feature extraction system based on QWT with time-frequency scalogram and EMD artifact removal generates features from EEG signals. The system uses evaluation of decomposition levels' energy measurements to build Energy Vectors which lead to the processing of each EEG signal into feature vectors. data classification in this research occurs through implementation of the BO-SVM classifier which features Bayesian optimization. The BO-SVM classifier delivers exceptional accuracy results because it reaches 99.17% maximum accuracy beyond typical SVM classifier performance levels. This paper combines signal processing methods with machine learning techniques which result in advanced EEG data-based sleep stage diagnosis to enhance driver safety. © 2025 IEEE.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Research on the Strategic Expansion Information System of Electric Power Enterprises Based on Computer Big data 3

Research on the Strategic Expansion Information System of El...

引用

3rd international signal processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Wang, Wenfeng Li, Xuyang Niu, Xin Yin, Yue Sun, Zheng Economic and Technological Research Institute of State Grid Henan Electric Power Company Zhengzhou450052 China Technology Co. Ltd Beijing102206 China

ISBN: (纸本)9798350307023

This article proposes a new type of power enterprise testing model based on computer big data technology, which can effectively enhance the informationization of power enterprise strategic development. The model adopts the core strategy of 'resource specification business data application' level interaction, and implements it with the help of computer big data technology, evaluating power enterprise engineering projects, reviewing engineering budgets, and electronic pre settlement, The entire process of data collection is collected by the computer big data system into the model, and the power enterprise is simulated and calculated through the computer big data system. When the calculation occurs, the required information is adjusted based on communication and operation costs, and the dynamic changes in the entire process of strategic expansion are calculated. The Stackelberg expansion model is used to demonstrate that strategic expansion of power enterprises can enhance their digital construction. © 2023 IEEE.

关键词： Informatization

来源：评论

学校读者我要写书评

暂无评论

AMIMC: Based on Improved Meta-Learning Contrast Network with Attention Mechanism for Few Shot Text Classification 3

AMIMC: Based on Improved Meta-Learning Contrast Network with...

引用

3rd international conference on Cloud Computing, Big data Application and Software Engineering, CBASE 2024

作者： Li, Senyan Dong, Ye Qin, Xizhong Xinjiang University Xinjiang Signal Detection and Processing Key Laboratory Urumqi830049 China

ISBN: (纸本)9798331506582

Currently, meta-learning is the mainstream approach to solving the problem of scarce data in few-shot text classification. Still, challenges remain, such as embedding vectors not being compact enough, suboptimal meta-task sampling strategies, and the rigidity of convolution operations in traditional Text CNNs. To address this, we propose the Attention Mechanism-based Improved Meta-learning Contrast Network (AMIMC), which enhances intra-class aggregation, increases inter-class separation and improves embedding quality. Additionally, Double Dynamic Similar Sampling (DDSS) generates more challenging meta-tasks, and the attention mechanism enhances the flexibility of Text CNNs, significantly boosting accuracy on five few-shot text classification datasets. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Research on Technical Loss Reduction Aided Decision System Based on Multi-Source Big data 3

Research on Technical Loss Reduction Aided Decision System B...

引用

3rd international signal processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Hao, Meimei Zhang, Yan Ma, Chunsheng State Grid Fujian Electric Power Co. Ltd. Fuzhou China Nanjing Softcore Co. Ltd. Nanjing China

ISBN: (纸本)9798350307023

A real-time evaluation of network loss and an auxiliary decision-making method for energy saving and consumption reduction based on power market is proposed. The on-line calculation of sub-line, sub-circuit, sub-voltage and sub-zone of network loss in each province is realized. Power flow method, root mean square method, power collection, state estimation, and multi-dimensional power integration method are used to verify. By analyzing the network structure, the change of power network structure and operation mode is tracked in real time, and the information of data collection nodes in power system is matched with it. This reduces the manual maintenance effort. The practical application shows that the dynamic change of line loss can be mastered effectively by using this software. At the same time, it can guide the economic operation and management of power grid. © 2023 IEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Feature extraction and analysis of speech signal based on fractional Fourier transform 3

Feature extraction and analysis of speech signal based on fr...

引用

3rd IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2023

作者： Zhai, Yueying Wuhan Qingchuan University Wuhan430000 China

ISBN: (纸本)9781665472784

As an analog signal carrying specific information, voice has become an important means of obtaining and disseminating information in people's social life. The purpose of speech signal processing is to extract effective speech information in complex speech environment. Speech signal has a strong time-varying characteristics. In a short time interval, the characteristics of speech signal can be regarded as basically unchanged, which is an important starting point of speech signal processing. The rate of speech recognition also depends on the accuracy and robustness of Speech signal feature extraction. Therefore, Speech signal feature extraction plays an important role in speech signal processing applications. By comparing the time-frequency resolution of Fourier transform and fractional Fourier transform in noisy background, the unique advantages of fractional Fourier transform to frequency-varying signals are further clarified. © 2023 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Development of E-Commerce Recommendation System Based on FP-Growth Algorithm 3

Development of E-Commerce Recommendation System Based on FP-...

引用

3rd international signal processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Liu, Yanchun Zhao, Lishuang College of Information Science and Technology Bohai University Jinzhou China

ISBN: (纸本)9798350307023

Association rule mining is a process of finding frequent patterns among database, relational database and other item sets of large data. FP-Growth algorithm is one of the typical recommendation algorithms based on association rules. Firstly, the relational rules and FP-Growth algorithm are studied. Then, the electronic commerce recommendation system is designed, including the overall structure design and core function design. Then, the implementation of FP-Growth mining algorithm is studied, and the implementation flow of constructing FPtree and FP-Growth algorithm is designed. Finally, the system is tested with real e-commerce data, and the test results are output according to the steps of reading initial e-commerce data, calculating support, arranging by frequency, rewriting item set in transaction database, constructing FPtree and generating frequent item set. The main contribution of this paper is to deeply study the FP-Growth algorithm and provide a complete solution for the application of FP-Growth algorithm in e-commerce system. © 2023 IEEE.

关键词： data mining

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296页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：