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

2,001 篇 会议
26 册 图书
9 篇 期刊文献

馆藏范围

2,036 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,273 篇 工学
- 600 篇 生物医学工程（可授...
- 424 篇 计算机科学与技术...
- 387 篇 软件工程
- 377 篇 电气工程
- 349 篇 机械工程
- 251 篇 信息与通信工程
- 184 篇 生物工程
- 179 篇 光学工程
- 115 篇 电子科学与技术（可...
- 72 篇 控制科学与工程
- 69 篇 仪器科学与技术
- 55 篇 化学工程与技术
- 27 篇 安全科学与工程
- 23 篇 土木工程
- 22 篇 建筑学
- 16 篇 力学（可授工学、理...
- 16 篇 材料科学与工程（可...
458 篇 理学
- 196 篇 数学
- 183 篇 物理学
- 183 篇 生物学
- 66 篇 统计学（可授理学、...
- 60 篇 化学
- 24 篇 系统科学
405 篇 医学
- 401 篇 临床医学
- 197 篇 基础医学(可授医学...
- 113 篇 药学(可授医学、理...
- 35 篇 公共卫生与预防医...
113 篇 管理学
- 73 篇 图书情报与档案管...
- 47 篇 管理科学与工程(可...
- 19 篇 工商管理
16 篇 法学
10 篇 经济学
9 篇 农学
4 篇 艺术学
3 篇 教育学
3 篇 军事学
2 篇 文学

主题

179 篇 feature extracti...
129 篇 image segmentati...
124 篇 signal processin...
93 篇 training
89 篇 informatics
87 篇 signal processin...
70 篇 image reconstruc...
69 篇 biomedical imagi...
66 篇 accuracy
51 篇 biomedical engin...
49 篇 image color anal...
48 篇 deep learning
48 篇 image edge detec...
47 篇 visualization
46 篇 convolution
44 篇 electroencephalo...
43 篇 support vector m...
42 篇 mathematical mod...
39 篇 biological syste...
37 篇 three-dimensiona...

机构

22 篇 school of inform...
20 篇 beijing-dublin i...
19 篇 school of electr...
19 篇 school of biomed...
19 篇 the adapt sfi re...
18 篇 school of commun...
18 篇 school of electr...
14 篇 lepu medical ele...
14 篇 school of contro...
13 篇 school of comput...
13 篇 school of inform...
12 篇 shanghai key lab...
11 篇 suzhou institute...
11 篇 school of comput...
10 篇 school of comput...
9 篇 school of comput...
9 篇 school of commun...
9 篇 school of biomed...
9 篇 school of intern...
9 篇 school of inform...

作者

21 篇 li jin
19 篇 ke li
18 篇 wang jun
17 篇 chen xiang
16 篇 li qingli
16 篇 li ke
15 篇 jin li
14 篇 xiang chen
13 篇 sun jinping
13 篇 shan liu
12 篇 jun wang
12 篇 liu zhi
10 篇 zhou mei
10 篇 dev soumyabrata
10 篇 qingli li
9 篇 diao shengxi
9 篇 soumyabrata dev
8 篇 yen-wei chen
8 篇 zhenyu zhang
8 篇 jin hua

语言

1,989 篇 英文
43 篇 其他
8 篇 中文

检索条件"任意字段=International Congress on Image and Signal Processing, BioMedical Engineering and Informatics"

共 2036 条记录，以下是121-130 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：

Sparse Sampling and Fusion of Multi-Fidelity Aerodynamic Heating Data 17

Sparse Sampling and Fusion of Multi-Fidelity Aerodynamic Hea...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Nie, Yutang Yang, Chunming Wei, Mingzhi Jiang, Xianwei Ma, Xin School of Computer Science and Technology Southwest University of Science and Technology China School of Computer Science and Engineering University of Electronic Science and Technology of China China

ISBN: (纸本)9798331507398

To reduce the acquisition cost of aerodynamic heating data for high-speed aircraft by leveraging diverse data sources, this paper proposes a multi-source data fusion method based on sparse sampling and multi-fidelity neural network. First, a large volume of low-fidelity data is generated using low-cost engineering calculation methods along the flight trajectory, and sparse sampling is performed according to the data variation trends. Then, CFD numerical simulation is conducted on the sampled flight parameters to obtain a limited set of high-fidelity data. Finally, high-fidelity data across the flight trajectory is estimated by combining high-fidelity and low-fidelity data through multi-fidelity neural network. The effectiveness of the fusion is verified using heat flux data at the nose tip of a certain aircraft under the simulated flight trajectory. Results indicate that the proposed fusion approach can achieve a prediction error of less than 4% while using only 5% of the CFD data points from the original trajectory, significantly reducing the CFD simulation workload and demonstrating the method's potential for engineering applications. © 2024 IEEE.

关键词： Flight paths

来源：评论

学校读者我要写书评

暂无评论

image Recovery Using Tensor Completion via Low-rank Augmentation 16

Image Recovery Using Tensor Completion via Low-rank Augmenta...

引用

16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Liu, Xiaohua Tang, Guijin Nanjing University of Posts and Telecommunications College of Electronic and Optical Engineering Nanjing China Nanjing University of Posts and Telecommunications College of Communications and Information Engineering Nanjing China

ISBN: (纸本)9798350330755

An image can be represented as a third-order tensor, and iteratively approximated using a low-rank tensor decomposition model. However, some images may not have a strong low-rank property. We need to lower their rank. In this paper we propose an effective tensor completion model via low-rank augmentation by integrating the low-rank property and local similarities of a tensor for recovering missing entries of an image. First, dividing an original image into sub-images and concatenating them to be a tensor. Second, utilizing a tenor completion algorithm based on the tensor nuclear norm to recover its missing entries, and extracting the recovered image from the tensor. Finally, filtering the recovered image with the bilateral filter. We fully utilize the local similarity of the image and obtain the third-order tensor composed of sub-images by sampling adjacent pixels of the image, making it have stronger low-rank characteristics. Experimental results demonstrate the advantages of our method compared with other tensor completion algorithms. © 2023 IEEE.

关键词： Tensors

来源：评论

学校读者我要写书评

暂无评论

Development of a Prosthetic Hand With Bionic Function and Light Weight 17

Development of a Prosthetic Hand With Bionic Function and Li...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Jing, Xiaobei Zhu, Shanshan Shan, Biaofeng Jiang, Yinlai Li, Guanglin Yokoi, Hiroshi Yong, Xu Shenzhen518055 China The Second People's Hospital of Lanzhou City The First School of Clinical Medicine Lanzhou University Lanzhou730000 China University of Electro-Communications Department of Mechanical Engineering and Intelligent Systems Tokyo182-8585 Japan

ISBN: (纸本)9798331507398

This study proposes a prosthetic hand to satisfy both biomimetic and practical demands, including motion function, human size, light weight. With proper mechanical design, the proposed hand successfully integrates three actuators and transmission mechanisms within the dimension of a human hand, weighing only 200.75g. The hand can not only achieve 85% of the grasp motions of the ADLS but also achieve natural movements in grasping of regular and irregular objects. Finally, two kinds of experiments have been conducted to verify the effectiveness and performance of the proposed hand design. The experimental results clearly indicate that the proposed prosthetic hand successfully realizes the bionic function and light weight design. © 2024 IEEE.

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

A Study on Spatial Prediction Models and Influential Parameters of Deformation in Western Ireland 17

A Study on Spatial Prediction Models and Influential Paramet...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Yao, Wendong Azadnejad, Saeed Donohue, Shane Dev, Soumyabrata School of Civil Engineering University College Dublin Dublin Ireland The ADAPT SFI Research Centre Dublin Ireland School of Comnuter Science University College Dublin Dublin Ireland Beijing-Dublin International College Beijing China

ISBN: (纸本)9798331507398

This paper attempts to estimate the deformation status for certain geographic points in the western areas of Ireland. We used a ground motion service dataset (EGMS), applying key features related to the deformation value to analyze their importance. We used random forest analysis on the data set to check the significance of these characteristics. We also applied several machine learning methods to train the dataset to find out whether we can use these data to get a proper estimate. Our findings demonstrate that it is difficult to estimate the state of deformation on certain points using spatial features of other points. Normally formed values show better relativity than STD formed values. This research offers valuable insights, and provides an example of the deformation status estimation. The study encourages future investigation into temporal analysis approaches, using time-series provided in the dataset to enhance estimation accuracy. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Attention-Based ResNet for Accurate Water Body Classification Using Spectral Indices 17

Attention-Based ResNet for Accurate Water Body Classificatio...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Kumari, Sushma Dey, Prasanjit Ayala-Cabrera, David Dev, Soumyabrata School of Computer Science Technological University Dublin Dublin Ireland School of Civil Engineering University College Dublin Dublin Ireland The ADAPT SFI Research Centre Dublin Ireland School of Computer Science University College Dublin Dublin Ireland Beijing-Dublin International College Beijing China

ISBN: (纸本)9798331507398

Accurate classification of water bodies, such as rivers, lakes, and seas, is crucial for effective environmental monitoring and resource management. This research integrates both spectral water indices and deep learning models to improve water body classification using high-resolution satellite imagery from the EuroSAT dataset. Initially, water index methods were applied, followed by deep learning techniques using ResNet50 and ResN et152 architectures. To further enhance model performance, attention mechanisms were proposed and incorporated into the ResN et models, enabling the network to focus on key features. Among the tested models, ResN et50 with attention layers achieved the highest accuracy at 86 %. These findings highlight the effectiveness of attention mechanisms in improving classification accuracy, providing valuable insights for future applications in remote sensing and geographic information systems. © 2024 IEEE.

关键词： Resource allocation

来源：评论

学校读者我要写书评

暂无评论

Particle Swarm Algorithm-based External Programmer App for an Animal Vagal Nerve Stimulator 16

Particle Swarm Algorithm-based External Programmer App for a...

引用

16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Shen, Xinjie Li, Jin Zhao, Jiao Zhang, Lu Chen, Xiang Xi'an Jiaotong University The Key Laboratory of Biomedical Information Engineering of Ministry of Education Institute of Health and Rehabilitation Science School of Life Science and Technology Shaanxi Xi'an710049 China The Key Laboratory of Neuro-Informatics Rehabilitation Engineering of Ministry of Civil Affairs Shaanxi Xi'an710049 China

ISBN: (纸本)9798350330755

There is an urgent demand to determine optimal stimulation parameters for vagal nerve stimulation (VNS) treating heart failure. This paper designed and implemented an external programmer app, which is to increase the optimization iteration efficiency of stimulation parameters for animal VNS experiments. The app integrates mainly seven functional modules. It controls the VNS stimulators by configuring stimulation parameters, receives experimental information measured during vagal stimulation, then adjusts stimulation parameters in real-time based on experimental data. In particular, in order to achieve dynamic optimization, particle swarm optimization algorithm is used for parameter optimization. The algorithm seeks the optimal destination through collective information sharing with the advantages of fast convergence speed, few parameters and easy to implement. Thus, the app provides a convenient and efficient tool for the further development of domestic VNS devices for the prevention and treatment of heart failure. © 2023 IEEE.

关键词： Animals

来源：评论

学校读者我要写书评

暂无评论

Semi-Supervised Learning for Low-Light image Enhancement by Pseudo Low-Light image 16

Semi-Supervised Learning for Low-Light Image Enhancement by ...

引用

16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Xie, Shuo Ma, Yingjie Xu, Wei Qiu, Song Sun, Yifei East China Normal University School of Communication and Electronic Engineering China Ministry of Education Key Laboratory of System Control and Information Processing Shanghai200240 China

ISBN: (纸本)9798350330755

Building paired datasets in low-light enhancement entails significant cost and time, making such datasets precious commodities. Many researchers focus on how to enable models to learn more information from limited datasets. A prevalent strategy involves employing semi-supervised learning techniques to enhance model performance through additional unpaired images. However, one of the main challenges faced is the scarcity of a vast number of unpaired images from the same domain as the original low-light images. Consequently, we introduce a semi-supervised image enhancement method using pseudo-low-light images. Initially, we generate pseudo low-light images with less noise compared with the source domain image by the signal-to-Noise Ratio prior and diffusion models. We then employ the Mean-Teacher network and the feature constraints of the pseudo-low-light images to realize low-light image enhancement. Comprehensive experimental results validate the efficacy of our approach on real-world datasets. © 2023 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

DeT-Net: A Two-stage Method for Accurate Automatic Heart Segmentation 16

DeT-Net: A Two-stage Method for Accurate Automatic Heart Seg...

引用

16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Yuhang, Deng Shuaicong, Hu Yuexiao, Feng Wei, Jian Cuiwei, Yang Fudan University Center for Biomedical Engineering School of Information Science and Technology Shanghai China

ISBN: (纸本)9798350330755

Heart segmentation based on clinical data is a critical task for presymptomatic cardiovascular disease diagnosis and the following sustainable medical care. The complexity of cardiac image segmentation lies in the fact that the cardiac substructures are closely located and they only occupy a small portion of clinical MRI images, making it challenging for segmentation networks to focus on the segmentation of heart. Furthermore, the shapes and sizes of these cardiac structures in images can vary significantly due to differences among patients, imaging equipment, and other factors. The insufficient segmentation accuracy poses challenges in the clinical application of cardiac image segmentation algorithms. In this paper, to improve the segmentation accuracy between heart substructures, we present a two-stage heart detection and segmentation model called DeT-Net (Detection-based TransUNet with an improved bottleneck). The proposed detection-based method improves segmentation accuracy and efficiency by identifying and focusing only on regions likely to contain the heart. Experiment on Automated Cardiac Diagnosis Challenge (ACDC) datasets proves that our method outperforms other networks with a Dice Similarity Coefficient (DSC) of 91.55%. © 2023 IEEE.

关键词： Heart

来源：评论

学校读者我要写书评

暂无评论

A Tunable Electrical Impedance Matching System for Dual-Frequency Transducers 17

A Tunable Electrical Impedance Matching System for Dual-Freq...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Ding, Ye Shen, Zhitian Shao, Weiwei Cui, Yaoyao University of Science and Technology of China Division of Life Sciences and Medicine Hefei China Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou China

ISBN: (纸本)9798331507398

Dual-frequency ultrasonic transducers are essential for Endobronchial Ultrasound Endoscopes (EBUS) to achieve clear imaging at various depths. However, the substantial variation in impedance characteristics across dual-frequency bands poses significant challenges for impedance matching. This study introduces a tunable electrical impedance matching system, integrating L-type topology and a dual-channel gating device, specifically designed for dual-frequency ultrasonic transducers. The system dynamically adjusts the topology and parameters of the matching network through efficient control of multiple relays, identifying the optimal matching methods and frequencies within the dual-frequency bands. Dynamic impedance matching experiments within the dual-frequency bands capture echo signals before and after impedance matching, demonstrating significant improvements in echo signal peak-to-peak values and -6dB bandwidths at the optimal matching methods and frequencies. Specifically, enhancements of 12.6% and 5.2% in the 10MHz band, and 9% and 6.4% in the 30MHz band are observed, respectively. These improvements exceed those of other matching techniques at equivalent frequencies and under identical matching methods. The tunable electrical impedance matching system not only determines the most effective matching strategies within the dual-frequency bands but also enhances echo response and bandwidth coverage, thus improving imaging resolution at different depths. The potential applications of this system in dual-frequency ultrasound imaging technology are highly promising. © 2024 IEEE.

关键词： Ultrasonic transducers

来源：评论

学校读者我要写书评

暂无评论

A Deep Learning-Based Intelligent Irrigation System Utilizing Multimodal Information Fusion 16

A Deep Learning-Based Intelligent Irrigation System Utilizin...

引用

16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Tang, Chengyu Luan, Jiale Lu, Yingzhu Fan, Yawen Nanjing Forestry University Department of Computer Science and Technology Nanjing China Nanjing University of Posts and Telecommunications Department of Computer Science and Technology Nanjing China Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Nanjing China

ISBN: (纸本)9798350330755

This paper presents an intelligent agricultural irrigation system that leverages deep learning technology. The system, centered around the Raspberry Pi 4B, integrates computer vision technology, sensors, and control programs. Addressing the problem of relying on empirical methods for agricultural irrigation, this study utilizes the Raspberry Pi 4B as the core system and employs a deep neural network to identify target objects. The system also monitors the temperature and humidity of air and soil using sensors. By implementing a control program, the system autonomously determines irrigation requirements based on preset temperature and humidity ranges. This approach enables the development of a cost-effective and user-friendly irrigation system, conserving water resources and providing multiple benefits. © 2023 IEEE.

关键词： Deep 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204页 << < 9 10 11 12 13 14 15 16 17 18 > >>

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：