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

13,311 篇 会议
220 篇 期刊文献
183 册 图书
3 篇 学位论文
1 篇 资讯

馆藏范围

13,718 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

7,077 篇 工学
- 4,689 篇 计算机科学与技术...
- 2,310 篇 软件工程
- 2,133 篇 电气工程
- 1,354 篇 信息与通信工程
- 889 篇 控制科学与工程
- 697 篇 光学工程
- 504 篇 生物医学工程（可授...
- 480 篇 电子科学与技术（可...
- 474 篇 机械工程
- 466 篇 仪器科学与技术
- 336 篇 生物工程
- 245 篇 测绘科学与技术
- 172 篇 材料科学与工程（可...
- 162 篇 航空宇航科学与技...
- 149 篇 交通运输工程
- 109 篇 安全科学与工程
- 95 篇 网络空间安全
- 94 篇 化学工程与技术
3,512 篇 理学
- 2,418 篇 物理学
- 944 篇 数学
- 392 篇 生物学
- 249 篇 系统科学
- 241 篇 统计学（可授理学、...
- 125 篇 化学
1,514 篇 医学
- 1,340 篇 临床医学
- 212 篇 特种医学
- 171 篇 基础医学(可授医学...
- 111 篇 药学(可授医学、理...
733 篇 管理学
- 442 篇 管理科学与工程(可...
- 314 篇 图书情报与档案管...
63 篇 法学
63 篇 农学
31 篇 教育学
30 篇 经济学
29 篇 文学
20 篇 军事学
17 篇 艺术学
1 篇 哲学

主题

2,783 篇 image processing
1,435 篇 image segmentati...
1,169 篇 signal processin...
630 篇 feature extracti...
620 篇 cameras
588 篇 image edge detec...
567 篇 signal processin...
494 篇 image reconstruc...
491 篇 image coding
486 篇 real-time system...
399 篇 algorithm design...
354 篇 image color anal...
322 篇 deep learning
315 篇 image enhancemen...
309 篇 pixel
306 篇 real time system...
306 篇 image analysis
303 篇 computer archite...
302 篇 hardware
300 篇 object detection

机构

22 篇 signal and image...
20 篇 samara national ...
14 篇 school of electr...
11 篇 samara national ...
11 篇 purdue univ sch ...
11 篇 univ texas san a...
11 篇 department of el...
11 篇 school of electr...
10 篇 samara national ...
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 university of ch...
8 篇 electrical compu...
8 篇 image processing...
8 篇 information syst...
7 篇 school of electr...
7 篇 department of ma...

作者

19 篇 anon
13 篇 de-shuang huang
13 篇 jagdish chand ba...
11 篇 p. pirsch
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 ilias maglogiann...
8 篇 egiazarian karen
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

12,985 篇 英文
644 篇 其他
99 篇 中文
19 篇 土耳其文
3 篇 葡萄牙文
2 篇 西班牙文
2 篇 俄文
1 篇 法文

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

共 13718 条记录，以下是821-830 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：

Automatic Licence Plate Detection and Recognition System using image processing Techniques

Automatic Licence Plate Detection and Recognition System usi...

引用

Cognitive, Green and Ubiquitous Computing (IC-CGU), International conference on

作者： Peddi Shyam Ganesh B. Srilekha Vukanti Sravanthi Department of ECE Siddhartha Institute of Technology & Sciences Telangana India

ISBN: (数字)9798350361780

ISBN: (纸本)9798350361797

The recent exponential surge in the number of vehicles on our roadways has made congestion and violations important problems. By automating traffic management using an ALPR system, we can improve access control systems, streamline traffic flow, and save time. Here, we look at how well algorithms for edge processing and morphological processing perform. The parameters of the neural network, including the regularisation parameter, the count of hidden layer units, and the count of iterations, are optimised with great care. With a focus on real-time implementation and control via a graphical user interface, this case presents a parking security system suitable for usage in office buildings, institutions, malls, etc. Operating on Raspberry Pi 2B and Matlab, the system accomplishes a 97% efficiency rate through the use of image processing techniques and machine learning algorithms.

关键词： Location awareness Machine learning algorithms image edge detection Neural networks Ubiquitous computing Real-time systems Character recognition

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Innovation in Engineering, ICIE 2024

3rd International Conference on Innovation in Engineering, I...

引用

3rd International conference on Innovation in Engineering, ICIE 2024

ISBN: (纸本)9783031615818

The proceedings contain 108 papers. The special focus in this conference is on Innovation in Engineering. The topics include: Transmission Power Based Congestion Control Using Q-Learning Algorithm in Vehicular Ad Hoc Networks (VANET);collaborative Robot Laboratory Setup for Repeatable Force and Speed Experiments;towards Global Sustainability: Exploratory Analysis Through Unsupervised Machine Learning Techniques;structural Kinematic Analysis of a Wheelchair Mechanism Designed for Disabled Persons;application of Graph Theory in Designing the Communication System of a Robotic Production Cell;machine Learning algorithms in Scheduling Problems: An Overview and Future Paths;on the Relation Between the Smith Predictor and Algebraic Control Approach for Time Delay systems: A Case Study;image as a Way of processing Multidimensional Production Data for Product Quality Prediction Using Deep Learning;OPC-UA in Digital Twins—A Performance Comparative Analysis;design Improvements for an Inspection Rover;decoding the Effect of Descriptive Statistics on Informed Decision-Making;Simulation Control of Three-Tank-System Using 2DOF Controller;development of a Serious Game to Support Alzheimer’s Patients: First Insights;e-voting Platform Based on Blockchain;the Transformation of Maintenance with the Arise of Industry 4.0;real-World Comparison of Predictive Controllers Based on Internal and External Description of the Controlled System;the Use of Virtual Reality in Lower-Limb Robotic Rehabilitation;the Contribution of Photovoltaic systems to Sustainable Agriculture—An Analysis of Agrivoltaic systems;integration of Augmented Reality and IoT Elements in the Maintenance 4.0;A Fuzzy Logic-Based Risk Assessment Tool for IT Startups;wireless Localization System Applied to a Kitting Pick-to-light System;Posture Correction Device Based on IMU Sensors and CNN.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Innovation in Engineering, ICIE 2024

3rd International Conference on Innovation in Engineering, I...

引用

3rd International conference on Innovation in Engineering, ICIE 2024

ISBN: (纸本)9783031615740

关键词：

来源：评论

学校读者我要写书评

暂无评论

image Extraction for Linear Segment in 3D Space 3rd

Image Extraction for Linear Segment in 3D Space

引用

3rd International conference on Signal and Data processing, ICSDP 2023

作者： Mamatha, Elliriki Amardeepak, M. Sharma, Rohit Krishna Anand, S. Department of Mathematics GITAM University Bengaluru India Department of Mechanical Engineering CIT-NC Bengaluru India Department of Engineering Garden City University Bangaluru India Department of AI & DS Shridevi Institute of Engineering and Technology Tumkur India

ISBN: (纸本)9789819795772

In computer graphics systems, cropping applications appear to be quite simple from a human perspective as human eyes can easily visualize whether a portion of the picture is inside or outside. However, from a computational perspective, the problem increases multifold as a simple process involves a large number of comparisons and computations. With the added importance given to floating point numbers, the complexity shoots up exponentially. With this viewpoint in perspective, an analytical model has been designed. This model incorporates algorithms using integral calculations in order to find intermediate intersection points. This in turn would improve cropping objects’ speed in three-dimensional spaces. The performance of this algorithm is expected to be robust and can handle computations at a much higher speed for any size of rectangular parallelepiped cropping windows. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Three dimensional computer graphics

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Innovation in Engineering, ICIE 2024

3rd International Conference on Innovation in Engineering, I...

引用

3rd International conference on Innovation in Engineering, ICIE 2024

ISBN: (纸本)9783031626838

关键词：

来源：评论

学校读者我要写书评

暂无评论

International Scientific and Technical conference on Integrated Computer Technologies in Mechanical Engineering, ICTM 2023

International Scientific and Technical Conference on Integra...

引用

International Scientific and Technical conference on Integrated Computer Technologies in Mechanical Engineering, ICTM 2023

ISBN: (纸本)9783031614149

The proceedings contain 95 papers. The special focus in this conference is on Integrated Computer Technologies in Mechanical Engineering. The topics include: Complexity Reduction in DAT-Based image processing;current Trends in Bulk Solids Quantity Monitoring Inside the Large Capacity Industrial Tanks and Reservoirs;simulation of Onboard Helicopter Radar Signals for Surface Elevation Measurements;two Factor Dispersion Analysis of the Capacitive Grain Moisture Meters’ Transfer Function;methods for Time Series Analysis Using Segmented Regression with Heteroskedasticity;methodology of Detection and Recognition of Faults in the Unit Components;analyzing Exergy Losses When Utilizing the Heat of Exhaust Gases in Boiler;adaptation of the Rotor Design of Expander-Compressor Unit for the Installation of Magnetic Bearings Based on Dynamic Analysis Using Integrated Computer systems;methods of Parametric Modeling and Simulation Numerical Analysis of Rotor Dynamics in Active Magnetic Bearings on Example of the Turbocompressor;analyzing Thermophysical Phenomena in a Thermopressor for Air Intercooling systems;development and Implementation of Energy-Saving Control algorithms for Pumping Units of Power Plants to Increase Their Operational Quality;Utilizing CFD Technology in the Design of the Combustion Chamber for the Hydrogen-Powered Hybrid Energy System;a Research on the Influence of Anisotropic Characteristics of Single-Crystal Gas Turbine Blades on Their Durability;numerical Analysis of the Modern Marine Gas Turbine Rotor Stress-Strain State;numerical and Experimental Investigation of the Rotor Blade Joint;transient Motions of Solid Propellant Motor Casing at Launch Vehicle Liftoff;improving the Method of Quality Control of the Fuel Element Shell in Order to Improve the Safety of a Nuclear Reactor;preface.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Comparative Study of Machine Learning and Deep Learning Models for Food Waste Detection Using image processing

Comparative Study of Machine Learning and Deep Learning Mode...

引用

IEEE Students' conference on Electrical, Electronics and Computer Science (SCEECS)

作者： R. Rajagopal Chaithanya. k Ankita Sonth Prasanna Basanagouda Kallappagoudar Mohammadzaid Mohammadishaq Nadaf Ananda Theertha H Dept of Computer Science Alliance College of Engineering and Design Alliance University Bangalore India Bangalore India Dept of Computer Science Alliance College of Engineering and Design Bangalore India Dept of Computer Science and Engineering Alliance College of Engineering and Design Bangalore India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

For the purpose of reducing financial losses and environmental impacts, food waste detection is essential. Inorder to detect food waste using image processing, this study investigates the efficiency of several machine learning algorithms, including Convolutional Neural Network (CNN), K-Nearest Neighbors (KNN), Random Forest, and Inception Model (iv3). A set of images of food are then processed. Before each algorithm is used for classification, pre-processing methods like segmentation and feature extraction are used.

关键词： Food waste Measurement Analytical models Machine learning algorithms Accuracy Computational modeling Nearest neighbor methods Data models Convolutional neural networks Random forests

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Techniques for image Recognition in IoT-Enabled Surveillance systems

Deep Learning Techniques for Image Recognition in IoT-Enable...

引用

2024 Asian conference on Intelligent Technologies, ACOIT 2024

作者： Dankan Gowda, V. Vishnu Tej, Y. Potharaju, Vidya Sagar Jakkidi, Premkumar Reddy Sharma, Aanchal Sudhakar Reddy, N. Department of Electronics and Communication Engineering BMS Institute of Technology and Management Karnataka Bangalore India Department of Computer Science and Systems Engineering Andhra University Visakhapatnam India Department of ECE Vignana Bharati Institute of Technology Ghatkesar Hyderabad India 15950 paramount way FriscoTX75189 United States DCSA Panjab University Chandigarh India Department of ECE School of Engineering Mohan Babu University Tirupati India

ISBN: (纸本)9798350374933

This paper proposed an improved method that can be used in the identification of images within IoT based surveillance systems through the use of deep learning techniques especially the CNNs. The growth of concern and complexity therefore entails massive feeding from bursts of data from surveillance cameras, hence the need for reliable algorithms for processing the data in real-time with reasonable accuracy. The described system can be described as inclusive of IoT devices communicating with edge computing and cloud services for the purpose of scalability and performance enhancement. In this study, a very sophisticated experimental setup was employed;the authors used a number of datasets for surveillance purposes to evaluate the model. The results revealed that the segments of the method achieve a high accuracy and are continuously running through data in diverse surveillance scenarios while also being scalable. In the results section, we realized that CNN model was able to handle various environmental conditions such as;extreme lightening and occlusion. On the basis of the above mentioned data, it will be possible to suggest that this approach is rather superior compared to the other conventional approaches and therefore can be suggested as the possible solution of the modern conditions of surveillance. It thus provides platform for the advancement of intelligent surveillance system for use in smart city, security and safety application. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Application of Intelligent Schedule Management in Volunteer Service System 1

Application of Intelligent Schedule Management in Volunteer ...

引用

1st IEEE International conference on Data Intelligence and Innovative Application, DIIA 2024

作者： Li, Yongxin Luo, Xiaonan Guilin University of Electronic Technology Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin China

ISBN: (纸本)9798331504434

As the demand for volunteer services grows, enhancing the efficiency and management of these services has become a key issue. This paper explores methods of integrating intelligent scheduling management functions with volunteer service systems to optimize volunteer time management and task allocation. By analyzing existing volunteer service systems, we propose a novel system framework that integrates intelligent scheduling management. This framework updates volunteer schedules in real- time, automatically matches tasks with volunteers' time windows, and optimizes task distribution using smart algorithms. Experimental results show that volunteer service systems with integrated intelligent scheduling management significantly improve task allocation accuracy and volunteer satisfaction. This research provides new ideas and practical basis for the intelligent development of volunteer services. © 2024 IEEE.

关键词： Digital family digital platform volunteer service

来源：评论

学校读者我要写书评

暂无评论

An Improved Low-Light image Enhancement Algorithm Based on Deep Learning 1

引用

2nd International conference on Advanced Intelligent Technologies (ICAIT)

作者： Chen, Wen Hu, Chao Jiangxi Univ Sci & Technol Ganzhou 341099 Jiangxi Peoples R China NingboTech Univ Ningbo Zhejiang Peoples R China

ISBN: (数字)9789811697357

ISBN: (纸本)9789811697357;9789811697340

At present, most low-light image enhancement algorithms rely on artificial design with a priori information and constraints, but it cannot accurately capture deep structural features of the images. In this paper, we propose an improved algorithm with EnlightenGAN as the base framework and consider the phenomenon that the distance reflected by Mean Square Error (MSE) is quite different from human intuition. By introducing Structural Similarity (SSIM) in the loss function, we try to improve the structural similarity of the enhanced images to make them more consistent with natural and human intuition. For the instability problem during Generative Adversarial Networks (GAN) training, the relatively loose and easy-to-compute Energy-Based GAN (EBGAN) is used instead of Wasserstein GAN (WGAN). The improved algorithm is finally tested by using Low-light image Enhancement (LIME) dataset as well as the test dataset of EnlightenGAN. The Peak Signal to Noise Ratio (PSNR) and SSIM values of the images processed by using the modified algorithm are calculated and compared with other algorithms, and the results show the proposed method is effective.

关键词： Deep learning Generating adversarial networks image enhancement image processing

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 << < 79 80 81 82 83 84 85 86 87 88 > >>

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：