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

269 篇 会议
3 册 图书

馆藏范围

272 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

220 篇 工学
- 182 篇 计算机科学与技术...
- 96 篇 信息与通信工程
- 95 篇 软件工程
- 86 篇 电气工程
- 34 篇 光学工程
- 31 篇 生物医学工程（可授...
- 26 篇 生物工程
- 23 篇 仪器科学与技术
- 23 篇 控制科学与工程
- 19 篇 电子科学与技术（可...
- 18 篇 交通运输工程
- 17 篇 安全科学与工程
- 13 篇 动力工程及工程热...
- 13 篇 网络空间安全
- 10 篇 化学工程与技术
- 7 篇 建筑学
- 6 篇 土木工程
- 3 篇 机械工程
- 3 篇 材料科学与工程（可...
104 篇 理学
- 51 篇 数学
- 37 篇 物理学
- 27 篇 生物学
- 25 篇 化学
- 13 篇 统计学（可授理学、...
- 6 篇 系统科学
58 篇 医学
- 58 篇 临床医学
- 13 篇 基础医学(可授医学...
- 13 篇 药学(可授医学、理...
48 篇 管理学
- 35 篇 图书情报与档案管...
- 28 篇 管理科学与工程(可...
3 篇 法学
3 篇 农学
3 篇 军事学
2 篇 教育学
1 篇 经济学

主题

29 篇 image processing
13 篇 signal processin...
12 篇 image segmentati...
10 篇 image enhancemen...
10 篇 deep learning
10 篇 feature extracti...
9 篇 computer vision
9 篇 training
8 篇 signal processin...
8 篇 convolutional ne...
7 篇 smart cities
7 篇 image analysis
6 篇 visualization
6 篇 semantics
6 篇 accuracy
6 篇 image reconstruc...
5 篇 object detection
5 篇 convolution
5 篇 image coding
5 篇 image classifica...

机构

5 篇 bircham internat...
3 篇 university of sc...
3 篇 hospitalier univ...
2 篇 laboratory of te...
2 篇 college of compu...
2 篇 university of te...
2 篇 faculty of elect...
2 篇 samara national ...
2 篇 univ waterloo ki...
2 篇 department of el...
2 篇 univ oulu ctr ma...
2 篇 key lab of intel...
2 篇 college of compu...
2 篇 laboratory of el...
2 篇 college of trans...
2 篇 walton institute...
2 篇 peking univ ctr ...
2 篇 aurel vlaicu uni...
1 篇 national institu...
1 篇 nagoya institute...

作者

6 篇 boudjella aissa
5 篇 bellebna bachir
4 篇 boudjella manal ...
3 篇 kamil nurul kami...
2 篇 hashim elshafie
2 篇 wang hai-xian
2 篇 marius mircea ba...
2 篇 mosab hamdan
2 篇 samia driz
2 篇 aminuddin halima...
2 篇 bentoumi mohamed
2 篇 gabbouj moncef
2 篇 rashid a. saeed
2 篇 ghassemian hassa...
2 篇 chetioui mohamme...
2 篇 babaie morteza
2 篇 boudkhil abdelha...
2 篇 benattou fassi
2 篇 lakhmi c jain
2 篇 imani maryam

语言

271 篇 英文
1 篇 其他

检索条件"任意字段=7th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2021"

共 272 条记录，以下是1-10 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：

7th ieee international conference on Advanced Technologies, signal and image processing, ATSIP 2024

7th IEEE International Conference on Advanced Technologies, ...

引用

7th ieee international conference on Advanced Technologies, signal and image processing, ATSIP 2024

ISBN: (纸本)9798350351484

the proceedings contain 118 papers. the topics discussed include: driver action recognition in low-light conditions: a multi-view fusion framework;fuzzy logic obstacle avoidance controller for a mobile robot using lidar;modeling continuous emotions in text data using IEMOCAP database;detection and classification of neurodegenerative diseases by automatic speech analysis;a comparative study of derivative-based and wavelet-based approaches for epilepsy EEG analysis;a novel nonlinear intelligent control approach for optimizing solar PV systems in medical applications under dynamic conditions;access control based on roles and groups: case study building a secure smart hospital using BPMS;credit card fraud detection using synthetic minority oversampling technique and deep learning technique;and in-memory computing architecture for efficient hardware security.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Radio Frequency signal Classification with Hybrid images 7

Deep Learning Radio Frequency Signal Classification with Hyb...

引用

7th ieee international conference on signal and image processing applications, icsipa 2021

作者： Elyousseph, Hilal Altamimi, Majid L. Department of Electrical Engineering King Saud University Riyadh Saudi Arabia

ISBN: (纸本)9781665435925

In recent years, Deep Learning (DL) has been successfully applied to detect and classify Radio Frequency (RF) signals. A DL approach is especially useful since it identifies the presence of a signal without needing full protocol information, and can also detect and/or classify non-communication waveforms, such as radar signals. this work focuses on the different pre-processing steps that can be used on the input training data, and tests the results on a fixed DL architecture. While previous works have mostly focused exclusively on either time-domain or frequency domain approaches, in this work a hybrid image is proposed that takes advantage of both time and frequency domain information, and tackles the classification as a Computer Vision problem. the initial results point out limitations to classical pre-processing approaches while also showing that it's possible to build a classifier that can leverage the strengths of multiple signal representations. © 2021 ieee

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Design and Optimization of Homomorphic Medical image Fusion Algorithm 7

Design and Optimization of Homomorphic Medical Image Fusion ...

引用

7th ieee international conference on signal and image processing applications, icsipa 2021

作者： Awang, Mat Kamil Marzuki, Muhd Aliff Haiqal Mohd Kamil, Nurul Kamilah Mat Department of Electrical and Electronics Engineering National Defence University of Malaysia Kuala Lumpur Malaysia Faculty of Electrical Engineering and Information Technology RWTH Aachen University Aachen Germany

ISBN: (纸本)9781665435925

Multimodal image fusion is a method of fusing images of different modalities into one image without losing the overall meaning of the input images. the homomorphic method is one method to enhance digital images by increasing the high-frequency image signals and reducing the low-frequency of unwanted illumination. this paper will demonstrate how the homomorphic fusion method can improve the fused image quality compared to basic fusion methods such as principal component analysis (PCA) and discrete wavelet transform (DWT) methods. the design and simulation are carried out by MATLAB software on selected medical modalities, MR-PET and MRI. the results are compared using Mutual Information (MI) with aforementioned methods. the results showed that the homomorphic method has higher efficiency than DWT and PCA methods. © 2021 ieee

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

IRPMID: Medical XRAY image Impulse Noise Removal using Partition Aided Median, Interpolation and DWT 7

IRPMID: Medical XRAY Image Impulse Noise Removal using Parti...

引用

7th ieee international conference on signal and image processing applications, icsipa 2021

作者： Shajahan, Mohamed Aris, Siti Armiza Mohd Usman, Sahnius Noor, Norliza Mohd Razak Faculty of Technology and Informatics University Teknologi Malaysia Kuala Lumpur Malaysia College of Engineering University of Business and Technology Jeddah Saudi Arabia

ISBN: (纸本)9781665435925

the use of dental radiography techniques like XRay has increased the diagnosis efficiency, but the images contain impulse noise. therefore, denoising is a very important factor in any subjective evaluation of the quality of images. the proposed impulse noise removal method namely 'Impulse noise removal using Partition aided Median, Interpolation and DWT techniques' is successfully implemented in the Dental XRAY images. the abbreviation of this method is IRPMID. the techniques such as median filter, interpolation, and Discrete Wavelet Transform (DWT) empower the proposed method with the partition based approach in denoising the salt and pepper noise. this pre-eminent method can diminish the noise range to more than 90%. the dental XRay images can gain a significant improvement in image enhancement in terms of PSNR, IEF, SSIM, etc. © 2021 ieee

关键词： Salt and pepper noise

来源：评论

学校读者我要写书评

暂无评论

image Enhancement on Surveillance Footage Using Enhanced Deep Residual Network Super Resolution 8

Image Enhancement on Surveillance Footage Using Enhanced Dee...

引用

ieee 8th international conference on signal and image processing applications (ieee icsipa)

作者： Omar, Zaid Daniel, Muhammad Haddid Rosbi, Munirah Univ Teknol Malaysia Fac Elect Engn Johor Baharu Malaysia

ISBN: (纸本)9798350352368

the study presents an approach for pedestrian detection from CCTV footage with the application of Enhanced Deep Residual Network Super Resolution (EDSR), in addition to YOLOv8 for person detection, to overcome blurry and low-resolution scenarios through image enhancement. For performance evaluation, Peak signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE) are used to look at the pedestrian detection and super resolution performance, and compared to several other traditional enhancement methods namely bicubic, bilinear and nearest neighbor interpolation. Our positive results affirm the method's potential to be used in future enhancement tasks.

关键词： EDSR image enhancement super resolution surveillance

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Explainable Artificial Intelligence for COVID-19 Diagnosis on CXR image 7

Comparative Analysis of Explainable Artificial Intelligence ...

引用

7th ieee international conference on signal and image processing applications, icsipa 2021

作者： Ong, Joe Huei Goh, Kam Meng Lim, Li Li Department of Electrical and Electronic Engineering Faculty of Engineering and Technology Tunku Abdul Rahman University College Kuala Lumpur Malaysia

ISBN: (纸本)9781665435925

the COVID-19 outbreak brought a huge impact globally. Early studies show that the COVID-19 is manifested in chest X-rays of infected patients. Hence, these studies attract the attention of the computer vision community in integrating X-ray scans and deep-learning-based solutions to aid the diagnosis of COVID-19 infection. However, at present, efforts and information on implementing explainable artificial intelligence in interpreting deep learning model for COVID-19 recognition are scarce and limited. In this paper, we proposed and compared the LIME and SHAP model to enhance the interpretation of COVID diagnosis through X-ray scans. We first applied SqueezeNet to recognise pneumonia, COVID-19, and normal lung image. through SqueezeNet, an 84.34% recognition rate success in testing accuracy was obtained. To better understand what the network "sees" a specific task, namely, image classification, Shapley Additive Explanation (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) were implemented to expound and interpret how Squeezenet performs classification. Results show that LIME and SHAP can highlight the area of interest where they can help to increase the transparency and the interpretability of the Squeezenet model. © 2021 ieee

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Emotion Recognition Using Bahasa Malaysia Natural Speech 7

Emotion Recognition Using Bahasa Malaysia Natural Speech

引用

7th ieee international conference on signal and image processing applications, icsipa 2021

作者： Rizal, Afiq Aiman Ahmad Fairuz Hashim, Nik Nur Wahidah Nik Department of Mechatronics Faculty of Engineering International Islamic University Malaysia Selangor Malaysia

ISBN: (纸本)9781665435925

In recent years, the technology of emotion speech recognition has gradually become more important to the industries. this is proven by the integration of this system into many applications such as the interface with robots, audio surveillance, web-based E-learning, commercial applications, clinical studies and so on. Generally, speech emotion recognition (SER) is developed to help humans to understand and retrieve desired emotions. In this research, the analysis of using Bahasa Malaysia Language for three basic emotions of happy, sad and angry was analyzed. A total of 30 male and 30 female audio recordings were collected. Mel-frequency cepstral coefficient, chroma and mel spectrogram features were extracted. Feature dimensions were reduced using forward, backward and exhaustive selection methods before classification. Classification was performed using K-nearest neighbors, Support Vector Machine and Random Forest. the analysis demonstrated 78% accuracy for male speech and 78% for female speech. © 2021 ieee

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Class 1 and Class 2 Underwater image Enhancement and Restoration Under Turbidity Conditions 7

Class 1 and Class 2 Underwater Image Enhancement and Restora...

引用

7th ieee international conference on signal and image processing applications, icsipa 2021

作者： Awang, Mat Kamil Aminuddin, Halimatun Saidah Kamil, Nurul Kamilah Mat Mustafa, Kamarul Department of Electrical and Electronic Engineering National Defence University of Malaysia Kuala Lumpur Malaysia Faculty of Electrical Engineering and Information Technology RWTH Aachen University Aachen Germany

ISBN: (纸本)9781665435925

Poor visibility in underwater images is commonly attributed to the presence of impurities and the absorbed light being scattered while travelling through impure water. In this paper, image enhancement and restoration techniques are applied to TURBID image datasets. the TURBID dataset consists of three different types of underwater image conditions where blue solution, milk solution, or chlorophyll solution is added to water. the images undergo Histogram equalization (HE) and are filtered with a Wiener filter for image enhancement and image restoration, respectively. HE as the chosen enhancement method proved that it could enhance the image quality as the water surface can be seen clearer after enhancement by visual inspection. three Wiener filter classes are chosen as the restoration method to reduce the Mean Square Error (MSE) value and to get high Peak signal-to-Noise-Ratio (PSNR) with desired SNR value. Finally, these two image processing techniques, enhancement, and restoration are combined and the image quantitative values are compared to show that the image performance can be improved with combined enhancement and restoration techniques. It is found that Class 1 Wiener Filter with Enhance then Restore (ER) method has a value of 0 for MSE which is the lowest compared to other studied methods and has infinity values for PSNR and SNR. © 2021 ieee

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Rewritable Data Embedding in image based on Improved Coefficient Recovery 7

Rewritable Data Embedding in Image based on Improved Coeffic...

引用

7th ieee international conference on signal and image processing applications, icsipa 2021

作者： Sii, Alan Ong, Simying Wee, Mee-Chin Wong, KokSheik School of Info. Tech. Monash University Malaysia Bandar Sunway Malaysia Fac. of Comp. Sci. and Info. Tech University of Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9781665435925

Nowadays, most images are stored and transmitted in certain compressed forms based on some coding standards. Usually, the image is transformed, e.g., by discrete cosine transformation, and hence coefficient makes up a large proportion of the compressed bit stream. However, these coefficients might be corrupted or completely lost due to transmission errors or damages incurred on the storage device. therefore, in this work, we aim to improve a conventional coefficient recovery method. Specifically, instead of using the Otsu's method adopted in the conventional method, an adaptive segmentation method is utilized to split the image into background and foreground regions, forming non-overlapping patches. Missing coefficients in these non-overlapping patches are recovered independently. In addition, a rewritable data embedding method is put forward by judiciously selecting patches to embed data. Experiments are carried to verify the basic performance of the proposed methods. In the best-case scenario, an improvement of 31.32% in terms of CPU time is observed, while up to 7149 bits of external data can be embedded into the image. © 2021 ieee

关键词： Recovery

来源：评论

学校读者我要写书评

暂无评论

A Study on Staircase Artifacts in Total Variation image Restoration 7

A Study on Staircase Artifacts in Total Variation Image Rest...

引用

7th ieee international conference on signal and image processing applications, icsipa 2021

作者： Adam, Tarmizi Hassan, Mohd Fikree Paramesran, Raveendran School of Computing Faculty of Engineering Universiti Teknologi Malaysia Johor Malaysia Institute of Computer Science and Digital Innovation UCSI University Kuala Lumpur Malaysia

ISBN: (纸本)9781665435925

the total variation (TV) regularization is used in various image processing domains such as image super-resolution, reconstruction, compressed sensing, and restoration mainly due to its edge-preserving capabilities. However, the main problem when using the TV regularization is the staircase artifacts. For image restoration, the staircase artifacts manifest themselves by producing a smeared and blocky restored image, especially when the noise level is high. this problem has been a long-standing problem, and various improvements to TV regularization have been proposed. this paper studies the effects of the staircase artifacts produced by two different noises;Gaussian noise and salt-and-pepper noise. For this purpose, we compare three well-known algorithms, the alternating direction method of multipliers (ADMM), alternating minimization (AM), and accelerated AM, and observe the effects of staircase artifacts produced between the three algorithms. As a by-product, the accelerated AM tested for the salt-and-pepper noise can be seen as a new extension of the existing accelerated AM method. Results show that it is interesting to study further the effects of different types of noise and the algorithms to mitigate the staircase artifacts produced. © 2021 ieee

关键词： image reconstruction

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28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：