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

78,730 篇 会议
799 篇 期刊文献
327 册 图书
2 篇 学位论文

馆藏范围

79,858 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

49,806 篇 工学
- 29,031 篇 计算机科学与技术...
- 23,047 篇 电气工程
- 16,841 篇 软件工程
- 16,495 篇 信息与通信工程
- 5,186 篇 电子科学与技术（可...
- 4,842 篇 光学工程
- 4,530 篇 控制科学与工程
- 3,423 篇 生物医学工程（可授...
- 3,097 篇 机械工程
- 2,823 篇 仪器科学与技术
- 2,034 篇 生物工程
- 702 篇 化学工程与技术
- 560 篇 材料科学与工程（可...
- 517 篇 动力工程及工程热...
- 514 篇 航空宇航科学与技...
- 496 篇 交通运输工程
- 484 篇 安全科学与工程
- 473 篇 网络空间安全
19,855 篇 理学
- 12,170 篇 物理学
- 7,866 篇 数学
- 2,310 篇 生物学
- 2,214 篇 统计学（可授理学、...
- 1,567 篇 系统科学
- 860 篇 化学
10,888 篇 医学
- 10,413 篇 临床医学
- 1,076 篇 基础医学(可授医学...
- 1,034 篇 特种医学
- 694 篇 药学(可授医学、理...
3,230 篇 管理学
- 2,003 篇 管理科学与工程(可...
- 1,353 篇 图书情报与档案管...
391 篇 农学
350 篇 法学
286 篇 军事学
177 篇 经济学
119 篇 教育学
117 篇 文学
67 篇 艺术学

主题

7,225 篇 image processing
6,666 篇 signal processin...
5,269 篇 image coding
5,030 篇 image segmentati...
4,067 篇 image reconstruc...
3,857 篇 signal processin...
3,204 篇 feature extracti...
2,240 篇 image analysis
2,006 篇 digital signal p...
1,710 篇 robustness
1,705 篇 image edge detec...
1,674 篇 cameras
1,649 篇 training
1,631 篇 deep learning
1,578 篇 speech processin...
1,457 篇 pixel
1,456 篇 image resolution
1,379 篇 image enhancemen...
1,312 篇 image color anal...
1,188 篇 visualization

机构

53 篇 university of sc...
49 篇 univ chinese aca...
41 篇 department of si...
40 篇 institute for in...
40 篇 shanghai jiao to...
39 篇 tsinghua univers...
38 篇 school of electr...
38 篇 shanghai jiao to...
38 篇 ibm thomas j. wa...
37 篇 school of comput...
36 篇 national institu...
35 篇 shenzhen interna...
34 篇 princeton univ d...
32 篇 beijing inst tec...
30 篇 institute of inf...
30 篇 beijing key labo...
29 篇 zhejiang univers...
27 篇 nanyang technol ...
27 篇 centre for multi...
27 篇 astar inst infoc...

作者

51 篇 zhang lei
46 篇 wiegand thomas
40 篇 yang bin
32 篇 m. vetterli
31 篇 jie yang
29 篇 vetterli martin
29 篇 m. gabbouj
29 篇 jing zhang
29 篇 li li
29 篇 kaup andre
27 篇 guangtao zhai
27 篇 li xin
27 篇 wang jing
26 篇 karam lina j.
25 篇 jian wang
24 篇 zhang tao
24 篇 m.j.t. smith
24 篇 li yang
24 篇 jun wang
23 篇 kuo c. -c. jay

语言

76,530 篇 英文
2,520 篇 其他
503 篇 土耳其文
292 篇 中文
9 篇 俄文
5 篇 西班牙文
2 篇 法文
1 篇 葡萄牙文

检索条件"任意字段=IEEE International Conference on Signal and Image Processing Applications"

共 79858 条记录，以下是4591-4600 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：

MPFFNet:Semantic Segmentation of Remote Sensing image Buildings Based on Multipath Feature Fusion 8

MPFFNet:Semantic Segmentation of Remote Sensing Image Buildi...

引用

8th international conference on Communication, image and signal processing, CCISP 2023

作者： Dong, Jie Mao, Jingkun Liu, Kun Cheng, Liangyong School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China School of Artificial Intelligence and Data Science Hebei University of Technology Tianjin China Interplanetary Space Technology Development Co. LTD Tianjin China

ISBN: (纸本)9798350305838

The buildings with variable scales and complex background information in remote sensing images often result in missed and misclassified segmentation of buildings. To address this issue, this paper designs an multipath feature fusion network (MPFFNet). MPFFNet has an overall encoding and decoding structure, embedded with an residual depth Inception block(RDI) module to extract multi-scale features. At the same time, MPFFNet uses the multipath residual channel attention (MPRCA) module to expand the Receptive field of the feature map to obtain rich multi-scale context information. The validity of the proposed algorithm is proved on the WHU Buildings data set, with F1 reaching 94.70%, IOU reaching 89.93%, and Recall reaching 94.98%. © 2023 ieee.

关键词： Buildings

来源：评论

学校读者我要写书评

暂无评论

An intricate spectrogram processing in speech enhancement using machine learning with cloud computing 7

An intricate spectrogram processing in speech enhancement us...

引用

7th international conference on image Information processing, ICIIP 2023

作者： Reddy, Yenna Geetha Mahendran, G. Al-Khaykan, Ameer Alkawak, Omar A. Kalaiselvan, S.A. Priya, A. Department of Computer Science And Engineering Kompally Telangana Secunderabad India R.M.K Engineering College Department of Mechancal Engineering Chennai Tamil Nadu Kavaraipettai India University of Kufa Department of Electronic And Communications Engineering Najaf Iraq Al-Mustaqbal University College Department of Air Conditioning And Refrigeration Technical Engineering Babil Hilla Iraq Department of Computer Science And Engineering Tamil Nadu Chennai India School of Architecture Koneru Lakshmaiah Educational Foundation Andhra Pradesh Guntur India

ISBN: (纸本)9798350371406

The spectrogram is defined as the visual representation of the signal strength with a particular interval of time regarding frequencies in the appropriate waveform. It is demonstrated using the Fourier transform. It is illustrated in a three-dimensional plot of signal composed with amplitude versus frequency and time. They are classified as long signal sections and short signal sections with filters. It demonstrates the consecutive spectacle of the sound signal at a particular interval of time. The time-frequency representation of audio signals is obtained through spectrograms. This helps in the understanding of the speech data. Machine learning plays an important role in the identification of the relevant features in the spectrogram. The intricate patterns in the time and frequency domains are represented through CNN and RNN. These models are trained and tested through a large dataset which includes both clean and noisy speech samples. This helps to learn complex interrelationships and patterns associated with varied environmental conditions and interference systems. The computational demands of these systems are handled through the cloud computing techniques. They provide a platform for effective solutions for performing real-time interference. These cloud services provide various collaborations to numerous models to achieve desired outcomes. The proposed system provides higher adaptability in varied environmental and noisy profiles. Thus the integration of cloud computing with machine learning provides real-time processing with a natural seamless user experience. © 2023 ieee.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Enhancing Scene Text Segmentation through Subtask Decomposition 2

Enhancing Scene Text Segmentation through Subtask Decomposit...

引用

2nd international conference on image processing, Computer Vision and Machine Learning, ICICML 2023

作者： Wang, Yong Chen, Youguang East China Normal University School of Data Science and Engineering Shanghai China

ISBN: (纸本)9798350331417

The field of image processing widely utilizes scene text segmentation technology, with applications extending to image editing and font style transfer. These applications enhance image understanding quality and aid in boosting the performance of numerous computer vision tasks. The advent and progression of deep learning have led to substantial advancements in scene text segmentation technology. However, the limited size of existing scene text segmentation datasets constrains the performance of models. Therefore, we propose an algorithm for synthetic segmentation data. We first pretrain the model using large-scale synthetic data, then fine-tune it on the target dataset to address the issue of limited dataset size. Existing models employ end-to-end segmentation, which presents challenges in segmentation. We propose a scene text segmentation method. By decomposing the segmentation task into subtasks and solving them one by one, the complexity of the task can be reduced compared to direct segmentation of the entire image significantly improving the segmentation effect. The proposed method consists of three modules: a fragment crop module, a fragment segmentation module, and a fragment combination module. The fragment crop module is composed of an additional corp layer added after DBnet. The fragment segmentation module can be embedded with various segmentation methods. The fragment combination module uses the maximum pixel value pasting algorithm to combine the segmented fragments. We call this method Crop-Segmentation-Combination Framework (CSCF). We conducted experiments on the ICDAR 2013 and TextSeg datasets. The CSCF, embedded in Unet within the segment segmentation module, enhanced the text segmentation IoU by 5.80% on the ICDAR 2013 test dataset. Our suggested approach has been shown to notably enhance the efficiency of scene text segmentation. © 2023 ieee.

关键词： image segmentation Scene text segmentation Synthetic data synthetic image generations Text segmentation

来源：评论

学校读者我要写书评

暂无评论

Automated Leukemia Detection from Blood Samples using Machine Learning in MATLAB

Automated Leukemia Detection from Blood Samples using Machin...

引用

2024 ieee international conference on Computing, applications and Systems, COMPAS 2024

作者： Sanaullah, Md. Al Noman, Abdullah Port City International University Dept. of Electrical and Electronics Engineering Chittagong Bangladesh

ISBN: (纸本)9798331529765

Blood cancer is known as hematologic cancer, and leukemia is a type of blood cancer that infects the body's white blood cells and bone marrow, leading to a painful death. This paper introduces an automatic technique for detecting leukemia using image processing techniques such as histogram equalization, linear contrast adjustment, and segmentation methods, including k-means clustering, marker-controlled watershed, and HSV color-based segmentation. We achieved 99.01% accuracy using CNN, Decision Tree (D-TREE), SVM, and KNN classifiers in system testing and 96.33% accuracy in white blood cell detection. We utilized 108 and 260 photos from the ALL-IDB-1 and ALL-IDB-2 datasets, 366 normal blood images, and 100 AML blood images from Kaggle databases. As we know, thousands of people worldwide die due to this deadly disease each year. We can reduce these deaths through early-stage detection and treatment that requires advanced technology systems. © 2024 ieee.

关键词： K-means clustering

来源：评论

学校读者我要写书评

暂无评论

Enhancing Dehazing Performance of Single Optical Satellite images using Gamma Correction and Improved DCP

Enhancing Dehazing Performance of Single Optical Satellite I...

引用

2023 international conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023

作者： Regan, D. Priyan, S. Vishnu Siddartha Institute of Science and Technology Dept. of ECE Puttur India Kings Engineering College Dept. of Bio-Medical Engineering Chennai India

ISBN: (纸本)9798350319200

Dehazing is an essential preprocessing step for improving the quality of satellite imagery. Hazy conditions can significantly impact the visibility and clarity of satellite images, making it difficult to extract useful information from them. In recent years, several dehazing techniques have been proposed for satellite imagery, including contrast stretching, dark channel prior, and adaptive gamma correction. In this research work, we propose a novel haze removal approach that combines gamma correction with modified dark channel prior-based haze removal approach in the YCbCr color space. Our approach enhances the luminance component of the image by applying gamma correction to the Y channel, and reduces computational complexity by subsampling and combining the chrominance channels. The performance of the proposed system is assessed using peak signal to noise ratio (PSNR) and structural similarity index (SSIM) and compared with the state-of-the-art methods. Experimental results demonstrate that the proposed our approach outperforms other methods in terms of dehazing and contrast improvement, suggesting its potential for various applications that require high-quality satellite image processing. © 2023 ieee.

关键词： DCP Gamma correction Satellite image dehazing YCbCr Color space

来源：评论

学校读者我要写书评

暂无评论

SDR - MEDIUM RARE WITH FAST COMPUTATIONS 47

SDR - MEDIUM RARE WITH FAST COMPUTATIONS

引用

47th ieee international conference on Acoustics, Speech and signal processing (ICASSP)

作者： Scheibler, Robin LINE Corp Tokyo Japan

ISBN: (纸本)9781665405409

We revisit the widely used bss_eval metrics for source separation with an eye out for performance. We propose a fast algorithm fixing shortcomings of publicly available implementations. First, we show that the metrics are fully specified by the squared cosine of just two angles between estimate and reference subspaces. Second, large linear systems are involved. However, they are structured, and we apply a fast iterative method based on conjugate gradient descent. The complexity of this step is thus reduced by a factor quadratic in the distortion filter size used in bss_eval, usually 512. In experiments, we assess speed and numerical accuracy. Not only is the loss of accuracy due to the approximate solver acceptable for most applications, but the speed-up is up to two orders of magnitude in some, not so extreme, cases. We confirm that our implementation can train neural networks, and find that longer distortion filters may be beneficial.

关键词： source separation performance evaluation bss_eval signal-to-distortion ratio conjugate gradient descent

来源：评论

学校读者我要写书评

暂无评论

Fast UAV- image-based Person Re-Identification at the Edge 2

Fast UAV- Image-based Person Re-Identification at the Edge

引用

2nd ieee international conference on Contemporary Computing and Communications, InC4 2024

作者： Nguyen, Huy Hoang Duong, Thanh Trung School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Viet Nam

ISBN: (纸本)9798350383652

Person re-identification (re-id) has been widely used in various applications, such as security surveillance, the retail sector, and the military. Although companies that manufacture security surveillance equipment, such as Hikvision, Huawei, and NEC, have developed and deployed person re-ied systems in real life, this research topic still has several opening challenges, such as high memory usage and computation cost, processes at the edge and re-identification on aerial images. This problem is crucial for UAV-based person re-id applications in the military and security surveillance. This study proposes a deep person re-id model that can balance the tradeoff between accuracy and inference cost when implemented on the edge device and images captured from UAV. Although the mAP score of our proposed model is 2.48 % lower than that of the SOTA model, experimental results verify that our model-based inference cost is much better than the SOTA-model-based result. Indeed, our approach's RAM usage and processing time are 157 % and 528 % better than those of the Sota model, respectively. This result also points out that our proposed model meets the real-time requirement on the Jetson-Xavier-based edge device. © 2024 ieee.

关键词： Aerial photography

来源：评论

学校读者我要写书评

暂无评论

A Switched Current Mirror based VLSI Architecture of 1-D DCT for Compressed ECG signal Acquisition

A Switched Current Mirror based VLSI Architecture of 1-D DCT...

引用

2024 ieee Calcutta conference, CALCON 2024

作者： Ganguly, Anirban Mitra, Debanjana Datta Bhanja, Mousumi Chakraborty, Anirban Banerjee, Ayan University of Engineering and Management Kolkata Dept. of CST Kolkata India Dept. of ETCE Pune India DRDO Labs Bangalore India Indian Institute of Engineering Science and Technology Shibpur Dept. of ETCE Howrah India

ISBN: (纸本)9798331516666

The discrete cosine transform (DCT) has been identified as a potential basis for compressed sensing (CS) due to its spectral compaction property. In real-time biomedical applications, a discrete-time analog architecture of the DCT processor has been proposed as a low-energy alternative to digital realization. Some compression applications in image and video processing have reported analog 2-D DCT architectures in either charge mode or current mode. Here, a switched current mode circuit realized 1-D DCT in a biomedical CS system, outperforming charge mode with a simpler design and no capacitor issues. Using a current mode matrix vector multiplier (MVM), power consumption was reduced to 9.2 μ W with 41dB PSNR accuracy in SPICE simulations (PTM 65nm CMOS). MATLAB-SPICE co-simulation validated performance with ECG signals at compression ratios (CR) of 0.75 and 0.875. Keywords-discrete cosine transform, compressed sensing, switched current mirror, matrix vector multiplier, co-simulation © 2024 ieee.

关键词： Discrete cosine transforms

来源：评论

学校读者我要写书评

暂无评论

Research on Real-Time Data Transmission and signal processing System of CIM Practical Training Teaching Platform Based on 5G Network

Research on Real-Time Data Transmission and Signal Processin...

引用

image processing and Computer applications (ICIPCA), ieee international conference on

作者： Xuemei Cheng Hao Zhang Shandong University of Engineering and Vocational Technology Jinan China Poly Shandong Real Estate Group Corporation Limited Jinan China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

In order to solve the problems of “digital signal processing”, such as many common knowledge points, difficult teaching, difficult visual teaching, and so on, a software platform for “signal processing” open teaching is built based on Visual C++6.0. This system is to cooperate with the teaching content of CIM, but also to improve the practical ability of students, so that they can more easily and quickly understand some of the more complex digital signal theory. The timing of the beam position signal is optimized based on the existing down sampling method, and the digital AGC and slow application signal processing modules are completed. We need to get turn-by-turn, quick application, and track closing data simultaneously. The experiment shows that the system can obtain the multi-frequency position information including the actual running state well. The advantages of this system are easy to control parameters, easy to use, and strong expansibility. This project plans to further improve the system in the future research work so as to achieve better teaching and practical application purposes.

关键词： Training Human computer interaction Visualization image processing Education signal processing Sampling methods Software Real-time systems Timing

来源：评论

学校读者我要写书评

暂无评论

BIRD-PCC: Bi-Directional Range image-Based Deep Lidar Point Cloud Compression

BIRD-PCC: Bi-Directional Range Image-Based Deep Lidar Point ...

引用

48th ieee international conference on Acoustics, Speech and signal processing, ICASSP 2023

作者： Liu, Chia-Sheng Yeh, Jia-Fong Hsu, Hao Su, Hung-Ting Lee, Ming-Sui Hsu, Winston H. National Taiwan University Taiwan Mobile Drive Technology

ISBN: (纸本)9781728163277

The large amount of data collected by LiDAR sensors brings the issue of LiDAR point cloud compression (PCC). Previous works on LiDAR PCC have used range image representations and followed the predictive coding paradigm to create a basic prototype of a coding framework. However, their prediction methods give an inaccurate result due to the negligence of invalid pixels in range images and the omission of future frames in the time step. Moreover, their handcrafted design of residual coding methods could not fully exploit spatial redundancy. To remedy this, we propose a coding framework BIRD-PCC. Our prediction module is aware of the coordinates of invalid pixels in range images and takes a bidirectional scheme. Also, we introduce a deep-learned residual coding module that can further exploit spatial redundancy within a residual frame. Experiments conducted on SemanticKITTI and KITTI-360 datasets show that BIRD-PCC outperforms other methods in most bitrate conditions and generalizes well to unseen environments. © 2023 ieee.

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500页 << < 456 457 458 459 460 461 462 463 464 465 > >>

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：