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

3,924 篇 会议
158 篇 期刊文献
36 册 图书
1 篇 学位论文

馆藏范围

4,119 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,944 篇 工学
- 1,879 篇 计算机科学与技术...
- 1,268 篇 电气工程
- 1,087 篇 信息与通信工程
- 1,079 篇 软件工程
- 302 篇 光学工程
- 292 篇 电子科学与技术（可...
- 286 篇 仪器科学与技术
- 264 篇 生物医学工程（可授...
- 206 篇 控制科学与工程
- 153 篇 机械工程
- 144 篇 生物工程
- 81 篇 化学工程与技术
- 63 篇 材料科学与工程（可...
- 46 篇 动力工程及工程热...
- 35 篇 土木工程
- 35 篇 航空宇航科学与技...
- 33 篇 建筑学
- 33 篇 轻工技术与工程
- 32 篇 测绘科学与技术
1,432 篇 理学
- 794 篇 数学
- 620 篇 物理学
- 218 篇 系统科学
- 170 篇 生物学
- 158 篇 统计学（可授理学、...
- 85 篇 化学
739 篇 医学
- 717 篇 临床医学
- 112 篇 基础医学(可授医学...
- 83 篇 药学(可授医学、理...
236 篇 管理学
- 136 篇 管理科学与工程(可...
- 103 篇 图书情报与档案管...
30 篇 法学
22 篇 农学
18 篇 教育学
14 篇 军事学
11 篇 文学
8 篇 经济学
6 篇 艺术学

主题

317 篇 wavelet transfor...
243 篇 image processing
237 篇 discrete wavelet...
222 篇 image coding
214 篇 signal processin...
193 篇 feature extracti...
173 篇 image segmentati...
143 篇 signal processin...
131 篇 image enhancemen...
126 篇 wavelet transfor...
119 篇 image reconstruc...
117 篇 image compressio...
91 篇 wavelet analysis
78 篇 deep learning
72 篇 psnr
72 篇 accuracy
71 篇 image denoising
69 篇 robustness
67 篇 noise reduction
66 篇 digital signal p...

机构

7 篇 tianjin normal u...
7 篇 tsinghua univ
6 篇 university of sc...
6 篇 beijing inst tec...
6 篇 chinese acad of ...
6 篇 beijing jiaotong...
5 篇 northwest inst n...
5 篇 carleton univ de...
4 篇 natl univ def te...
4 篇 college of infor...
4 篇 univ elect sci &...
4 篇 university of pi...
4 篇 zhengzhou inform...
4 篇 school of electr...
4 篇 galgotias univer...
4 篇 nanyang technol ...
4 篇 hokkaido univ sa...
4 篇 school of electr...
4 篇 institute of met...
4 篇 xidian univ sch ...

作者

7 篇 hasan demirel
6 篇 gao w
6 篇 gholamreza anbar...
6 篇 xiong gang
6 篇 liu ying
5 篇 murat ceylan
5 篇 ceylan murat
5 篇 demirel hasan
5 篇 anbarjafari ghol...
5 篇 rao g. sasibhush...
5 篇 yan zhang
5 篇 zhang yue
5 篇 zhao yao
5 篇 unser m
4 篇 bouridane ahmed
4 篇 li li
4 篇 dutta malay kish...
4 篇 zhu weile
4 篇 buggy t.
4 篇 shi fei

语言

3,983 篇 英文
68 篇 土耳其文
46 篇 其他
20 篇 中文
2 篇 俄文

检索条件"任意字段=4th Conference on Wavelet Applications in Signal and Image Processing"

共 4119 条记录，以下是3931-3940 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：

Deep Learning Fusion Ensemble for Enhanced Traffic Sign Detection Using the ICTS Dataset

Deep Learning Fusion Ensemble for Enhanced Traffic Sign Dete...

引用

International conference on Applied Electromagnetics, signal processing and Communication (AESPC)

作者： Samir Kumar Majhi Rahul Kumar Gupta Binayak Ojha Aaron Sapkota Debendra Muduli Department of Computer Science C.V. Raman Global University Bhubaneswar India

ISBN: (数字)9798331528171

ISBN: (纸本)9798331528188

Traffic Sign Identification and Detection(TSID) sys- tems are vital components of advanced and smart driving systems as well as autonomous vehicles. Our proposed model, based on deep learning, specifically trains and evaluates convolutional neural networks (CNN) using ensemble pre-trained models such as VGG16 and ResNet50 from the field of transfer learning for image classification and combines them in a fusion ensemble model. We leveraged data augmentation strategies to increase the training images during preprocessing. Our data and outcomes show that the fusion of the proposed model performed better, achieving a classification accuracy of 99.70 % using the ICTS (Indian Cautionary Traffic Sign) dataset compared to some traditional models.

关键词： Deep learning Training Adaptation models Accuracy Transfer learning Data models Road safety Convolutional neural networks Residual neural networks image classification

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Survey On Transformer Fault Diagnosis and Operating Condition Prediction

A Comprehensive Survey On Transformer Fault Diagnosis and Op...

引用

IEEE conference on Energy Internet and Energy System Integration (EI2)

作者： Jian Wang Xihai Zhang Peiyi Li Xingyang Liu School of Electrical Engineering Southwest Jiaotong University Chengdu China College of Electrical Engineering Sichuan University Chengdu China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

Transformers are playing an increasingly significant role in electricity energy conversion, transmission, and distribution, which link energy resources such as conventional, renewable and sustainable energy, from generation to consumption. Reliable and precise diagnosis and prediction of operating conditions of power transformers have become continuously important. Until now, several methods for transformer fault diagnosis and operating condition prediction have been applied to various theoretical investigations and actual applications. this paper provides a comprehensive review of the existing works from two perspectives, namely, transformer fault diagnosis and operating condition prediction. the overview of transformer fault diagnosis consists of dissolved gas analysis, acoustic signal processing, and image recognition. On the other hand, the previous studies related to operating condition prediction of the transformer are critically examined and explored according to whether considering the association rules of state parameters. Finally, conclusions and future trends are presented.

关键词： image recognition Energy resources System integration Reliability theory Market research Internet Power transformers

来源：评论

学校读者我要写书评

暂无评论

Multichannel Computer Screen Recording System Based on FPGA and ARM

Multichannel Computer Screen Recording System Based on FPGA ...

引用

2011 4th IEEE International conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Chun-Feng Liang Electronic Engineering Department Tsinghua University Beijing,China Yan-Fa Tang Institute of Microelectronics Tsinghua University Beijing,China Bing-Chan Li Electronic Engineering Department Tsinghua University Beijing,China Hong-Liang Sun Institute of Microelectronics Tsinghua University Beijing,China

A multichannel computer screen recording system based on Field Programmable Gate Array (FPGA) and Advanced RISC Machines (ARM) is introduced in this *** system has both Video Graphics Array (VGA) and Digital Video Interface (DVI) inputs,and supports the resolution of 1920x1080 and any common resolutions that do not exceed *** system can simultaneously record VGA and DVI signal by using the FPGA as the MUX of VGA and *** experimental results showed that the algorithm used in this system,which combined the wavelet transform and listless zerotree entropy coding,achieved significantly higher quality of the decoded images than JPEG with the same compression *** mapping of FPGA to SRAM method ensures the bit stream band width between FPGA and *** the compression ratio of 50,the system can record 20 frames per second at the resolution of 1600x1200.

关键词： Screen record image compression FPGA implementation wavelet transform 1600x1200

来源：评论

学校读者我要写书评

暂无评论

TCIE-ResNeXtGAN: infrared and water vapor satellite image fusion model using dual discriminator generative adversarial networks and ResNeXt for improving tropical cyclone intensity estimation accuracy

TCIE-ResNeXtGAN: infrared and water vapor satellite image fu...

引用

2022 conference on Infrared, Millimeter, Terahertz Waves and applications, IMT 2022

作者： Guo, Jia-Xu Zhang, Chang-Jiang College of Physics and Electronic Information Engineering Zhejiang Normal University Jinhua321004 China Taizhou University Taizhou318000 China

ISBN: (纸本)9781510662476

Different characteristics of satellite images are reflected in different channels, so the monitoring and early warning of meteorological disasters based on satellite image data of a single channel may not achieve satisfactory results. the infrared channel satellite image reflects the ground and cloud top infrared radiation or the temperature distribution. the water vapor channel satellite image reflects the spatial distribution of water vapor in the upper atmosphere. the two channel satellite images reflect atmospheric characteristics from different wavebands. this paper proposes an infrared and water vapor channel satellite image fusion model (TCIE-ResNeXtGAN) based on dual discriminator generative adversarial network and ResNeXt to improve the accuracy of tropical cyclone (Tropical Cyclone, TC) intensity estimation. For this reason, we define the factors affecting TC intensity estimation, namely the brightness temperature gradient in satellite images, based on our previous work, and introduce it to the loss function in the proposed deep learning model to guide the training process of the model. In this way, the purpose of improving the estimation accuracy of TC intensity using fused satellite images is achieved. To demonstrate the effectiveness of the fusion results in this paper, we compare performance between the existing three models and our model. the experimental results show that the proposed image fusion method in this paper can preserve the infrared and water vapor dual-channel information to the greatest extent, while improving the estimation accuracy of TC intensity using fused satellite image. © 2023 SPIE.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Fire Detection Based on image processing in Coal Mine

Fire Detection Based on Image Processing in Coal Mine

引用

2010 4th International conference on Intelligent Information Technology Application (IITA2010)

作者： Wang Yuanbin Xi’an University of Science & Technology Ma Xianmin Xi’an University of Science & Technology

Fire detection is very important in safety area, and at all times it is a difficult problem in coal mine. In this paper, a real-time fire-detector algorithm is proposed. In early stage there is no evident flame, and the temperature is low, the visible light is scarce, so the signal is difficult to achieve by ordinary color CCD. Here infrared CCD is employed as a probe, and obtained infrared image is input the computer, then fire recognition is determined based on image processing. Firstly, the grey scale binary image is partitioned by entropy threshold method and then smoothed by Median filtering. then significant characteristics of flame are extracted and after normalization the foregoing data are input neutral network for recognition. All of the above clues are combined to reach a final decision. Experiment results show that the proposed method is successful in detecting fire or flames. In addition, it reduces the false alarms remarkably. It is also shown that the method works in a variety of conditions. the system has high validity and accuracy.

关键词： image CCD Fire Detection Based on image processing in Coal Mine

来源：评论

学校读者我要写书评

暂无评论

A Fuzzified Euclidean Framework for Accurate Cervical Cancer Cell Segmentation and Nuclei Detection

A Fuzzified Euclidean Framework for Accurate Cervical Cancer...

引用

International conference on Applied Electromagnetics, signal processing and Communication (AESPC)

作者： Lipsa Mishra Sarita Nanda Sashikant Mishra School of Electronics Engineering Kalinga Institute of Industrial University Bhubaneswar India Gyansis Infotech Bhubaneswar India

ISBN: (数字)9798331528171

ISBN: (纸本)9798331528188

the accurate identification and segmentation of cervical nuclei in cell images are crucial for the early diagnosis of cervical cancer. However, challenges such as overlapping cells, uneven staining, and poor contrast often hinder this process. While traditional techniques demonstrate efficacy in segmenting clearly defined individual nuclei, they often fail to yield satisfactory results for adherent nuclei. To overcome the limitations, this paper introduces fuzzification-defuzzification process followed by Euclidean distance transformation (FEDT). Further, exponential dynamic growth analysis is done to improve the identification and segmentation of cervical nuclei in cell images. the model also incorporates exponential dynamic growth analysis to improve image quality and separation. Gaussian noise is added to enhance robustness, and EDT post-noise addition provides a framework for processing tasks. the method achieves a test accuracy of 93.75%, high resolution segmented nuclei, and precision and recall scores of 92.6% and 93%, enhancing cervical cancer early detection and diagnosis.

关键词： Location awareness image segmentation Accuracy Shape Prevention and mitigation Watersheds Euclidean distance Robustness Public healthcare Cervical cancer

来源：评论

学校读者我要写书评

暂无评论

Real Time Hardware Co-simulation of Edge Detection for Video processing System

Real Time Hardware Co-simulation of Edge Detection for Video...

引用

IEEE Mediterranean Electrotechnical conference

作者： Yahia Said Taoufik Saidani Fethi Smach Mohamed Atri Laboratory of Electronics and Microelectronics (EμE) Faculty of Sciences

ISBN: (纸本)9781467307826

A methodology for implementing real-time DSP applications on a field programmable gate arrays (FPGA) using Xilinx System Generator (XSG) for Matlab is presented in this paper. It presents architecture for Edge Detection using Sobel Filter for image processing using Xilinx System Generator. the design was implemented targeting a Spartan3A DSP 3400 device (XC3SD3400A-4FGG676C) then a Virtex 5 (xc5v1x50-1ff676). the Edge Detection method has been verified successfully with no visually perceptual errors in the resulted images.

关键词： Generators Hardware Field programmable gate arrays image edge detection Digital signal processing Hardware design languages Software

来源：评论

学校读者我要写书评

暂无评论

Approximate Logic Synthesis and its Application in image signal Processor 16

Approximate Logic Synthesis and its Application in Image Sig...

引用

16th IEEE International conference on Solid-State and Integrated Circuit Technology, ICSICT 2022

作者： Li, Yukun Li, Zhen Wang, Yifan Zhang, Wenbo Xiong, Botao Ma, Yanhua Shen, Rensheng Li, Zhaohan Liu, Guowen Chang, Yuchun Dalian University of Technology School of Microelectronics Dalian116024 China Beijing Institute of Aerospace Control Devices China

ISBN: (数字)9781665469067

ISBN: (纸本)9781665469067

As power consumption in digital systems grows rapidly, energy efficiency has become a crucial concern. To address this, approximate computing was proposed as an innovative paradigm. In this work, we realize an approximate logic synthesis (ALS) toolchain utilizing Boolean matrix factorization algorithm based on error sharping technique (ESBMF) and open-source tools, its basic operation is to generate the corresponding approximation circuit by different input error thresholds. Moreover, we also present an approximate image signal processor (APPROX-ISP). Compared to the original counterpart, APPROX-ISP achieves area benefits of 44.2%, 36.7%, 34.1%, 34.5%, power consumption benefits of 49.9%, 38.6%, 37.1%, 52.2%, and delay benefits of 57.6%, 34.9%, 51.0%, 19.5% using 12-bit Adder, 14-bit Adder, 15-bit Adder and 8-bit Multiplier, respectively. Our experiment demonstrates that there is almost no accuracy degradation in machine learning tasks while using APPROX-ISP. © 2022 IEEE.

关键词： Adders

来源：评论

学校读者我要写书评

暂无评论

Study on Range Doppler SAR image Modeling and Simulation

Study on Range Doppler SAR Image Modeling and Simulation

引用

2011 4th IEEE International conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Su Su Yi Mon School of Instrumentation Science and Optoelectronics Engineering Beihang University (BUAA) Beijing China

there are several methods and algorithms for Synthetic Aperture Radar (SAR) data processing and each are convenient for their main *** this paper Range Doppler (RD) processing is proposed,it was the first and most common SAR data processing algorithm.A common convention is to call the azimuth Fourier domain the "Doppler" domain in the SAR ***,this algorithm derives its name from the fact that SAR takes the advantage of the Doppler history of the radar echoes generated by the forward motion of the aircraft to synthesize a large ***,this paper also provides the RD SAR simulation in two-dimensions using point target and it is implemented in *** main focus is to better understand how the two-dimensional RD image processing works,an example using a single point in the center of the target area *** working principles,modeling,data processing and simulation results would show how the RD system works and is effective on SAR imaging system.

关键词： Synthetic Aperture Radar (SAR) Imaging algorithm signal processng Range Doppler (RD)

来源：评论

学校读者我要写书评

暂无评论

signal Restoration with Fractional Transform Sparse Representation and Autoencoder

Signal Restoration with Fractional Transform Sparse Represen...

引用

International conference on Computer and Communication Engineering, ICCCE

作者： Shivani Saxena Surbhi Mistry Nilesh Patel Mohendra Roy Ahsan Z. Rizvi Computer Sciences and Engineering Institute of Advanced Research Gandhinagar India Biotechnology and Bioengineering Institute of Advanced Research Gandhinagar India Information and Communication Technology Pandit Deendayal Energy University Gandhinagar India

Signa1 denoising is a crucial task in image processing, audio analysis, and communications. Traditional methods often struggle to strike a balance between reducing noise and preserving important signal details. Existing methods exploit the potential of fractional transforms combined with sparse representation techniques. However, these approaches face challenges in achieving the desired balance due to limited sensitivity to signal variations, high computational complexity, restricted adaptability to diverse noise types, and the need for careful selection of transform parameters. To overcome these limitations, we propose a novel method called Fractional Transform Sparse Representation Denoising (FTSRD), which integrates fractional wavelet transform (FWT), fractional DCT (FDCT), sparse representation, and Deep Denoising Autoencoder (DDAE) techniques. the integration of DDAE in FTSRD provides several advantages. DDAE, being a deep learning-based model, has the capability to learn complex noise patterns and extract meaningful signal features. Experimental evaluations were conducted on synthetic signals and ECG signals. the results demonstrate the superior performance of FTSRD in reducing noise while preserving essential structural details. It also surpasses traditional methods in subjective and objective quality measures. In conclusion, FTSRD addresses the challenges associated with noise reduction and signal detail preservation, making it a valuable tool in various denoising applications.

关键词：

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412页 << < 390 391 392 393 394 395 396 397 398 399 > >>

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：