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

12,568 篇 会议
194 篇 期刊文献
162 册 图书
1 篇 学位论文

馆藏范围

12,925 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

6,553 篇 工学
- 4,300 篇 计算机科学与技术...
- 2,188 篇 软件工程
- 1,910 篇 电气工程
- 1,284 篇 信息与通信工程
- 817 篇 控制科学与工程
- 656 篇 光学工程
- 460 篇 生物医学工程（可授...
- 444 篇 机械工程
- 444 篇 电子科学与技术（可...
- 420 篇 仪器科学与技术
- 316 篇 生物工程
- 240 篇 测绘科学与技术
- 154 篇 材料科学与工程（可...
- 149 篇 航空宇航科学与技...
- 132 篇 交通运输工程
- 102 篇 安全科学与工程
- 86 篇 网络空间安全
3,171 篇 理学
- 2,123 篇 物理学
- 901 篇 数学
- 358 篇 生物学
- 244 篇 系统科学
- 224 篇 统计学（可授理学、...
- 119 篇 化学
1,431 篇 医学
- 1,268 篇 临床医学
- 196 篇 特种医学
- 158 篇 基础医学(可授医学...
- 101 篇 药学(可授医学、理...
694 篇 管理学
- 421 篇 管理科学与工程(可...
- 294 篇 图书情报与档案管...
- 86 篇 工商管理
58 篇 农学
56 篇 法学
29 篇 教育学
27 篇 文学
26 篇 经济学
18 篇 军事学
17 篇 艺术学
1 篇 哲学

主题

2,642 篇 image processing
1,385 篇 image segmentati...
1,141 篇 signal processin...
611 篇 cameras
592 篇 feature extracti...
581 篇 image edge detec...
530 篇 signal processin...
464 篇 image coding
463 篇 image reconstruc...
456 篇 real-time system...
386 篇 algorithm design...
334 篇 image color anal...
308 篇 pixel
305 篇 deep learning
304 篇 image enhancemen...
299 篇 real time system...
292 篇 object detection
289 篇 computer archite...
285 篇 neural networks
283 篇 hardware

机构

22 篇 signal and image...
19 篇 samara national ...
14 篇 school of electr...
11 篇 samara national ...
11 篇 univ texas san a...
11 篇 department of el...
11 篇 school of electr...
10 篇 center for signa...
9 篇 information syst...
9 篇 institute of ima...
9 篇 university of to...
9 篇 tongji universit...
8 篇 purdue univ sch ...
8 篇 university of ch...
8 篇 electrical compu...
8 篇 image processing...
8 篇 information syst...
8 篇 samara national ...
8 篇 lockheed martin ...
7 篇 school of electr...

作者

19 篇 anon
13 篇 de-shuang huang
13 篇 jagdish chand ba...
11 篇 p. pirsch
11 篇 a. ortega
10 篇 jie yang
10 篇 panetta karen
10 篇 j.m. mendel
10 篇 r. chellappa
9 篇 c.-c.j. kuo
8 篇 frank hannig
8 篇 hannig frank
8 篇 carli m.
7 篇 miller jwv
7 篇 busch christoph
7 篇 semenishchev e.
7 篇 zelensky a.
7 篇 bovik alan c.
7 篇 jerry m. mendel
7 篇 kupriyanov a.v.

语言

12,706 篇 英文
131 篇 其他
74 篇 中文
20 篇 土耳其文
3 篇 葡萄牙文
2 篇 德文
2 篇 俄文
1 篇 西班牙文
1 篇 法文

检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VII"

共 12925 条记录，以下是211-220 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：

2024 18th International conference on Open Source systems and Technologies, ICOSST 2024 - Proceedings

2024 18th International Conference on Open Source Systems an...

引用

18th International conference on Open Source systems and Technologies, ICOSST 2024

ISBN: (纸本)9798331508692

The proceedings contain 23 papers. The topics discussed include: solar powered auto irrigation monitoring system with plant health indication using image processing;large language model and artificial intelligence based human conversation agent;to enhance graph-based retrieval-augmented generation (RAG) with robust retrieval techniques;automatic timetable generation using neural networks trained by genetic algorithms;assessment of efficient and cost-effective vehicle detection in foggy weather;enhanced detection and prevention of SQL injection and cross-site scripting attacks in web applications: analyzing algorithms and threat modeling approaches;efficient duplicate question detection;and a comprehensive survey on computing services to detect stress and anxiety using smart devices.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cloud Architectural Design for image-based Vehicle Positioning in Traffic Management 28

Cloud Architectural Design for Image-based Vehicle Positioni...

引用

28th International conference on System Theory Control and Computing

作者： Beti, Iosif-Alin Herghelegiu, Paul-Corneliu Amarandei, Cristian-Mihai Caruntu, Constantin-Florin Gheorghe Asachi Tech Univ Iasi Dept Automat Control & Appl Informat Iasi Romania Gheorghe Asachi Tech Univ Iasi Dept Comp Sci & Engn Iasi Romania

ISBN: (纸本)9798350364309;9798350364293

Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion and accidents. They also support the development of advanced driver assistance systems and autonomous vehicles, relying on precise positioning data for safe navigation. One of the solutions involves using image processing algorithms, which can have two approaches. One approach is decentralized, in which each vehicle performs its own computing steps and determines its position concerning the other nearby vehicles. The second approach, proposed in this paper, is centralized, where each vehicle sends data to a server that uses cloud computing to process all the data in real-time. As such, vehicles can create a more comprehensive view of the driving conditions in the area by using either of these two approaches, which can help them anticipate potential hazards and make more informed decisions.

关键词： computer vision traffic optimization vehicle platooning cloud computing 5G networks vehicle positioning V2V communication

来源：评论

学校读者我要写书评

暂无评论

Optimized Machine Learning for Medical Data Analysis and Disease Prediction

Optimized Machine Learning for Medical Data Analysis and Dis...

引用

2024 International conference on Artificial Intelligence and Emerging Technology, Global AI Summit 2024

作者： Dubey, Anil Kumar Kapoor, Raman Saraswat, Mala Abes Engineering College Ghaziabad India Bennett University Greater Noida India

ISBN: (纸本)9798350379716

In the context of healthcare and human-computer interaction., this research study provides a thorough analysis of sophisticated computational algorithms for data classification, picture processing, and disease prediction. For multi-disease prediction and intrusion detection, various works have been investigated to arrive at optimal hybrid learning methods and biological feature selection techniques. The role of revolutionary blockchain-based data storage systems and enhanced analysis techniques of EEG data for brain illness detection have been reviewed. Furthermore, an improved bidirectional long short-term memory (LSTM) for time-series data categorization is also discussed. Some noteworthy studies such as the analysis of medical picture defects, application of immersive technology to diagnose Alzheimer's illness and improvements in image resolution and segmentation are also reviewed in this work. Based on the reviewed literature, an improved method is also proposed which is expected to assist with early diagnosis and risk reduction. © 2024 IEEE.

关键词： Brain-Computer Interface Feature Selection Techniques Hybrid Learning algorithms Intrusion Detection systems and Medical image Analysis

来源：评论

学校读者我要写书评

暂无评论

ADIMPR-Net: Automatic Denoising Intra-pulse Multi-parameter Recognition with a Deep Multi-task Network

ADIMPR-Net: Automatic Denoising Intra-pulse Multi-parameter ...

引用

International conference on Electronic Engineering and Information systems (EEISS)

作者： Liu, Yingming Chen, Tao Harbin Engn Univ Coll Informat & Commun Engn Harbin Peoples R China

ISBN: (纸本)9798350351040;9798350351033

To concurrently address the challenges of automatic modulation recognition (AMR) and modulation parameter estimation (MPE) in radar signals, we introduce a multi-task learning (MTL) network architecture designed for intra-pulse multi-parameter recognition through automatic noise reduction. The proposed approach initiates by generating time -frequency image (rn) directly from noisy time-domain signal using a neural network. To effectively capture relevant features from TFls, we employ a VGG-like network Subsequently, the multitask learning framework is utilized to achieve AMR and MPE simultaneously. Four typical intra-pulse modulated signals were simulated in the experiments, simulation results verify the effectiveness and reliability of the proposed algorithms.

关键词： component: Radar signal Signal processing modulation recognition parameter estimation deep learning

来源：评论

学校读者我要写书评

暂无评论

Algorithm for Changing the Size of a Multi-Element Aperture of a Two-dimensional Recursive-Separable Five-Stage Filter for Digital image processing 25

Algorithm for Changing the Size of a Multi-Element Aperture ...

引用

25th IEEE International conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Kamenskiy, Andrey V. Kupriyanova, Kristina S. Podnebesnyy, Andrey V. Kuryachiy, Mikhail I. Borodina, Natalya Tatyana, Akaeva M. Dept. of Television and Control Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (纸本)9798350389234

The paper presents a description of the developed algorithm for changing the size of a multi-element aperture of a recursive-separable five-stage filter for processing digital images generated by specialized optical systems. The developed algorithm has two features: it has the ability to change the size of a multi-element aperture during use;it makes it possible to use the recursive and separable properties. These capabilities make it possible to reduce the processing time of incoming data, which has a positive effect on the efficiency of the optical-electronic imaging system used. The paper presents a block diagram of a two-dimensional recursive-separable five-stage filter, with the help of which an algorithm was developed for changing the size of a multi-element aperture, and a study of the influence of the aperture size on the performance of the developed filter was carried out. As part of the performance evaluation, the developed algorithm was compared with the classical two-dimensional convolution algorithm. Developed algorithm was tested on three test images of different sizes and formats: 1300x700 Bitmap Picture, 1200x1200 Tagged image File, 2900x1900 Joint Photographic Experts Group. During the processing of test images, the dimensions of the multi-element aperture of the developed filter changed. As the aperture size increases, the performance evaluation results also increase. This shows that speeding up the algorithm is an actual task. However, the developed algorithm takes less time than the classical two-dimensional convolution algorithm, from which it can be concluded that the developed solution is effective for both conventional images and images from optoelectronic systems. © 2024 IEEE.

关键词： digital filters digital image processing optical-electronic systems performance real time recursively separable algorithms

来源：评论

学校读者我要写书评

暂无评论

image processing Based on Inter-frame Color Feature Matching for Visible Light Positioning 2

Image Processing Based on Inter-frame Color Feature Matching...

引用

2nd International conference on Signal processing and Intelligent Computing, SPIC 2024

作者： Yu, Baozhu Liu, Xiangyu Chen, Yaoheng Guo, Lei Bao, Jianbo Sun, Jiandong Shenyang Ligong University School of Information Science and Engineering Shenyang China Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen China Chongqing University of Posts and Telecommunications School of Communication and Information Engineering Chongqing China Nari Group Corporation State Grid Electric Power Research Institute Nanjing China

ISBN: (纸本)9798350368888

The indoor imaging visible light positioning (VLP) technology based on the image sensor (IS) utilizes existing indoor lighting infrastructure to provide high-precision indoor positioning services. However, due to the high complexity of traditional image processing algorithms, existing VLP systems are unable to provide real-time positioning services. In response to the above issue, we propose an image processing mechanism based on the inter-frame color feature matching method, which includes the equidistant sampling processing, low complexity decoding algorithm, and color feature matching-based LED region of interest (ROI) determination method. The results show that the system average positioning delay is 80.2ms, indicating better system real-time performance. © 2024 IEEE.

关键词： Color image processing

来源：评论

学校读者我要写书评

暂无评论

Lightweight Stereo image Super-Resolution Using Parallax Attention

Lightweight Stereo Image Super-Resolution Using Parallax Att...

引用

2024 International conference on Advancements in Power, Communication and Intelligent systems, APCI 2024

作者： Govind, Smriti Pradeep, R. College of Engineering Trivandrum Dept. of Electronics and Communication Engineering Kerala India Apj Abdul Kalam Technological University India

ISBN: (纸本)9798350363289

Over the past decade, advancements in cellular phone technology have drastically transformed mobile phones from mere communication devices into powerful mini-computers. The integration of high-quality cameras with smartphones has led to a surge in demand for high-resolution images captured using these compact handheld devices. Prevalent use of dual cameras in smartphones has further motivated the exploration of stereo image super-resolution (SSR) algorithms, which utilizes the complementary information provided by binocular system. In this paper, we propose a novel and simple SSR approach that incorporates depth-wise separable convolutions and a parallax attention module. The algorithm effectively employs depth-wise separable convolutions to extract features from both left and right view of stereo image pair. Additionally, the parallax attention module facilitates the integration of cross-view information to enhance the super-resolution process. By combining these techniques, the proposed SSR model, Light weight Parallax Attention Stereo image Super-Resolution(L-PASSR) achieves a light weight design while still delivering comparable results in stereo image enhancement. © 2024 IEEE.

关键词： Stereo image processing

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis of Wind Turbine Bearings Using Siamese Networks 19

Fault Diagnosis of Wind Turbine Bearings Using Siamese Netwo...

引用

IEEE 19th conference on Industrial Electronics and Applications (ICIEA)

作者： Lee, Injae Cho, HaeJun Kim, Kyungseok Lee, Hyunmin Kim, Jungchan Paik, Joonki Chung Ang Univ Dept Artificial Intelligence Seoul South Korea Chung Ang Univ Dept Image Seoul South Korea Doosan Enebil Turbomachinery Technol Dev Team Seoul South Korea

ISBN: (纸本)9798350360875;9798350360868

Bearing faults pose a significant threat to the reliability and efficiency of rotating machinery systems, particularly in wind turbines. Traditional fault diagnosis algorithms often face limitations, such as processing single signal inputs from each sensor without considering interferences between components. To overcome these shortcomings and leverage the potential of processing multi-dimensional signal inputs, we propose SiamFD-net, a deep learning-based method. Focusing on wind turbine bearing fault diagnosis, our model employs a Siamese network architecture, which distinguishes between similar and dissimilar input pairs. This approach not only addresses the limitations of traditional algorithms but also contributes to mitigating the class imbalance problem commonly encountered in fault diagnosis. Experimental results using the Doosan Wind Turbine bearing dataset demonstrate the comprehensive view and diagnosis capability of our model. Furthermore, we validate the effectiveness of SiamFDnet using the Case Western Reserve University (CWRU) bearing fault diagnosis benchmark dataset. Our code is openly accessible at: https://***/SiamFDnet.

关键词： bearing fault diagnosis deep learning convolutional neural network siamese network

来源：评论

学校读者我要写书评

暂无评论

Enhancing Structural Health Monitoring: AI-Driven image processing for Automated Crack Identification in Concrete Surfaces 5

Enhancing Structural Health Monitoring: AI-Driven Image Proc...

引用

5th International conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Jency, S. Ramkumar, G. Saveetha School of Engineering SIMATS Chennai Technology Department of Ece Chennai India

ISBN: (纸本)9798350379945

One of the first signs of structural deterioration is cracks in the concrete surface, which is important for maintenance because prolonged exposure will seriously harm the environment. The highly regarded method for inspecting cracks is manual inspection. During the handwritten inspection, the irregularities' conditions are noted and a hand-drawn illustrate of the crack is created. One of the main problems on large construction sites is the degradation of structures as a result of cracks, especially in cases where inspection by hand is not feasible. Thus, an alternative called automatic image-based crack detection is suggested. The primary goal of this research work is to use artificial intelligence-based image processing techniques to identify and categorize cracks. Here, this study proposes five modules. The first module collects the dataset of crack images;the second module applies a pre-processing method to filter the data;the third module divides the data into training and testing portions;and the fourth module implements a model that uses both deep learning, such as the Mobile-net algorithm, and machine learning, such as the Random Forest algorithm, for testing and training the data. The last part is the prediction module, which forecasts whether a crack image will be positive or negative. Lastly, this study compares the accuracy score, recall, precision, loss graph, F1 score value, and algorithms for machine learning along with deep learning. The system performed better, as demonstrated by the experimental results. © 2024 IEEE.

关键词： Random forests

来源：评论

学校读者我要写书评

暂无评论

Temporal Deep Learning image processing Model for Natural Gas Leak Detection Using OGI Camera

Temporal Deep Learning Image Processing Model for Natural Ga...

引用

2024 Offshore Technology conference Asia, OTCA 2024

作者： Korjani, Mehdi Conley, David Smith, Mark Clean Connect Inc DenverCO United States

ISBN: (纸本)9781959025030

Natural gas extraction systems often encounter manufacturing defects or develop defects over time, leading to gas leaks. These leaks pose challenges, causing revenue losses and environmental pollution. Detecting gas leaks in the vast array of extraction, transfer, and storage equipment within these systems can be arduous, allowing leaks to persist unnoticed. Additionally, natural gas leaks are not visible to naked eyes, further complicating their detection. We developed a novel deep learning image processing model that utilizes videos captured by a specialized Optical Gas Imaging (OGI) camera to detect natural gas leaks. The temporal deep learning algorithm is designed to identify patterns associated with gas leaks and improve its performance through supervised learning. Our model incorporates algorithms to detect background environments, motion, equipment, and classify gas leaks. Our model employs leak identification algorithms to determine the presence of gas leaks. These algorithms calculate the probability of detected motion indicating a gas leak based on long-term and short-term background subtraction, detected motion, motion duration, equipment location, and telemetry data. To minimize false positives, we have developed image segmentation and object detection models to identify known objects, such as equipment, people, and cars, within the video footage. To train our model we collect more than 10,000 short videos from real fields and include simulated data with known rate controlled gas release in different situations. Data consist of wide range of weather situations including different temperature, wind speed, humidity in sunny, rainy, and snowy fields. We validated our model by conducting experiments involving actual footage from the field. The model achieved a 98% true positive rate, and a 100% true negative rate, correctly refraining from sending an alarm for all non-releases. Additionally, we developed a postprocessing algorithm capable of estimating the

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 << < 18 19 20 21 22 23 24 25 26 27 > >>

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：