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

15,874 篇 会议
207 篇 期刊文献
147 册 图书
1 篇 专利

馆藏范围

16,230 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,022 篇 工学
- 8,692 篇 计算机科学与技术...
- 6,598 篇 软件工程
- 3,111 篇 信息与通信工程
- 2,993 篇 光学工程
- 2,501 篇 生物工程
- 1,558 篇 控制科学与工程
- 1,487 篇 生物医学工程（可授...
- 1,169 篇 电气工程
- 854 篇 电子科学与技术（可...
- 620 篇 化学工程与技术
- 562 篇 安全科学与工程
- 541 篇 机械工程
- 472 篇 网络空间安全
- 399 篇 交通运输工程
- 342 篇 仪器科学与技术
- 282 篇 材料科学与工程（可...
5,917 篇 理学
- 2,958 篇 物理学
- 2,563 篇 生物学
- 1,899 篇 数学
- 677 篇 化学
- 664 篇 统计学（可授理学、...
2,183 篇 管理学
- 1,290 篇 图书情报与档案管...
- 1,024 篇 管理科学与工程(可...
- 410 篇 工商管理
1,628 篇 医学
- 1,459 篇 临床医学
- 891 篇 基础医学(可授医学...
- 759 篇 药学(可授医学、理...
- 260 篇 公共卫生与预防医...
344 篇 农学
- 337 篇 作物学
302 篇 法学
- 280 篇 社会学
166 篇 经济学
135 篇 教育学
65 篇 文学
38 篇 军事学
2 篇 哲学
2 篇 历史学
2 篇 艺术学

主题

1,289 篇 computer vision
783 篇 deep learning
488 篇 image segmentati...
413 篇 image processing
386 篇 object detection
360 篇 image enhancemen...
339 篇 feature extracti...
305 篇 convolutional ne...
299 篇 image classifica...
275 篇 machine learning
202 篇 training
200 篇 computational mo...
198 篇 signal processin...
195 篇 image recognitio...
168 篇 visualization
163 篇 neural networks
158 篇 artificial intel...
153 篇 convolution
150 篇 face recognition
132 篇 generative adver...

机构

54 篇 chitkara univers...
41 篇 peng cheng labor...
39 篇 university of ch...
38 篇 school of comput...
32 篇 university of sc...
31 篇 tsinghua univers...
30 篇 the islamic univ...
26 篇 college of compu...
26 篇 college of compu...
25 篇 school of comput...
24 篇 shanghai jiao to...
23 篇 school of electr...
22 篇 college of compu...
21 篇 shenzhen interna...
21 篇 school of comput...
20 篇 school of comput...
19 篇 centre of interd...
19 篇 department of co...
19 篇 national univers...
19 篇 shanghai ai labo...

作者

18 篇 li li
18 篇 chen chen
18 篇 yang yang
16 篇 lee sung-hak
16 篇 liu yang
14 篇 jia zhenhong
14 篇 li yang
14 篇 kim young-choon
13 篇 hao zhang
13 篇 luc van gool
12 篇 luo xiaonan
12 篇 zhou gang
12 篇 zhang bo
11 篇 yulun zhang
11 篇 wang wei
10 篇 li xin
10 篇 zhang lei
10 篇 wang jing
10 篇 chen dong
10 篇 liu lei

语言

15,814 篇 英文
400 篇 其他
143 篇 中文
3 篇 土耳其文
2 篇 西班牙文

检索条件"任意字段=2023 International Conference on Image Processing and Computer Vision, IPCV 2023"

共 16230 条记录，以下是4831-4840 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：

Brain Tumor Detection Using image processing 5

Brain Tumor Detection Using Image Processing

引用

5th international conference on Advancements in Computing, ICAC 2023

作者： Wijerathna, Udari Dissanayake, Nimavi Nimasha, Dinithi Senarathne, Udara Weerasinghe, Lokeesha Kahandawaarachchi, Chathurangika Sri Lanka Institute of Information Technology Faculty of Computing Dept of Computer System Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Computing Dept of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Computing Dept of Computer System Network Engineering Malabe Sri Lanka

ISBN: (纸本)9798350358131

Abnormal formation of cells in a layer. The brain is known as the brain cancer complex, and a brain cancer detection system is needed to detect cancer in its early stages Phase. As a result, the primary goal of this initiative is to assist existing doctors in their training for the early identification o f brain cancer by utilizing magnetic resonance imaging (MRI), which is the most effective approach to identifying brain cancer. This system is done through four components, and it has made it easier to detect brain tumors. These techniques with different image processing techniques include noise removal, segmentation, classification, a nd u se o fa nalysis segments f or detection. Pre-processing techniques prepare the image for further processing by removing image noise. During segmentation, the brain tumor system determines the size of the brain tumor and estimates its size. Specialists should examine them and classify brain tumors as meningiomas, gliomas, and pituitary tumors. In analysis, this component is expected to be designed so that users or medical experts can know the future through a dashboard. We explored the methodology of using generative adversarial networks (GANs) implemented in TensorFlow to denominate brain tumor images. Analyses the outcomes of various types of established deep learning models on the brain tumor MR image datasets, such as classification methods ResNet-50, VGG 16, CNN, and Inception V3. The validation precision, AUC, recall, and validation loss for CNN are 95.3%, 99.43%, 92.1 %, and 0.360 adjustments respectively. © 2023 IEEE.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

AI-Enable Machine Learning for Lung Cancer Prediction and Classification 1

AI-Enable Machine Learning for Lung Cancer Prediction and Cl...

引用

1st international conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2023

作者： Singh, Kamred Udham Kumar, Ankit Sinha, Anurag Kumar, Gaurav Singh, Teekam Pandey, Saroj Kumar School of Computing Graphic Era Hill University Dehradun India Gla University Department of Computer Engineering & Apllications UP Mathura India Amity University Department of Computer Science Ranchi India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350330915

In comparison to other types of cancer, lung cancer has the highest fatality rate, making it one of the most dangerous illnesses in the world. In India, there are over 70,000 new cases recorded each year, which demonstrates a startlingly rapid growth in the frequency of the disease. Lung cancer's sneaky nature makes early detection difficult. Early lung cancer identification improves survival rates, making it a top priority. Technology is crucial for early detection since it is more reliable. Many scholars have proposed innovative concepts after extensive study. computer-Aided Diagnosis (CAD) systems, which use computers to diagnose, are a major advancement in this field. These cutting-edge methods employ machine learning, deep learning, and image processing to predict malignant lung cancer risk. This article evaluates and compares technologies for early lung cancer detection and diagnosis. This category includes image segmentation, feature extraction, and classification algorithms. This essay examines these current technological options to help fight this life-threatening sickness. The article's ultimate goal is to improve the outlook for those who are at risk of acquiring lung cancer due to the sickness. © 2023 IEEE.

关键词： CAD Classification CT Scan Lung Cancer MRI PET Pre-processing ReLU

来源：评论

学校读者我要写书评

暂无评论

4th international conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023

4th International conference on Innovative Manufacturing, Me...

引用

4th international conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023

ISBN: (纸本)9789819988181

The proceedings contain 50 papers. The special focus in this conference is on Innovative Manufacturing, Mechatronics and Materials Forum. The topics include: Effect of Crack Length, Depth, and Location on Natural Frequencies of Railway Track;imputation Analysis of Time-Series Data Using a Random Forest Algorithm;harnessing Machine Learning, Blockchain, and Digital Twin Technology for Advanced Robotics in Manufacturing: Challenges and Future Directions;humanizing Humanoids: An Extensive Review on the Potential of Prosthetic Robotic Arm with Integrated Monitoring System for Disabled People;intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions;artificial Neural Network Analysis in Road Crash Data: A Review on Its Potential Application in Autonomous Vehicles;the Role and Impact of Robotics Integration in Precision Machining and Manufacturing: A Comprehensive Review;nanomaterial in Robotics: Bridging the Gap Between Current Applications and Future Possibilities;Optimized-ELM Based on Geometric Mean Optimizer for Bearing Fault Diagnosis;detection of Fault Features in Remanufacturing of Automotive Components Using image processing and computer vision Techniques;the Significance of the Thoracic Spinal Multiple Segments During Different Pick-Object Approaches;Vibration Suppression of the Flexible Beam Structure Using PID Controller Tuned by Advanced Firefly Algorithm;Bearing Fault Diagnosis Based on Prominence Peak-Picking IMFs Selection and PSO-SSAE;investigation of Wheel Robot Grouser Width Parameter Effect on Robot Mobility in Soft Sand Terrain Using Sand Test Bed;automated Harmonic Signal Removal-Based image Feature Extraction Technique: A Comparative Study Using Online Databases;Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Human Tissue Cell image Segmentation optimization Algorithm Based on Improved U-net Network 6

Human Tissue Cell Image Segmentation optimization Algorithm ...

引用

6th international conference on Information and computer Technologies, ICICT 2023

作者： Ying, Jie Jing, Xin Qin, Chenyang Huang, Wei University of Shanghai for Science and Technology School of Optical Electrical and Computer Engineering Shanghai200093 China

ISBN: (纸本)9798350300956

In medical testing and diagnosis, cells as the basic structure of human body, have received extensive attention in pathological research. The detection and segmentation of cells or nuclei play an important role in describing molecular morphological information. The accuracy of human tissue cells segmentation still needs to be improved, and the network segmentation results have boundary blurring and noise pixels interference. In this paper, an improved U-net network model is proposed. Aiming at the problem of simple stacking of the same convolution operation, a parallel structure for multi-scale image feature extraction is designed. Through the setting of multiple convolution operations and combining different feature fusion methods, a better convolution block structure is obtained. The network segmentation image is optimized through the secondary segmentation of Otsu method and morphological processing, and the final segmentation result is obtained. Finally, the cell contour and centroid are displayed on the original image, and the nuclear center was calculated by image moment. The experiments were carried out on the human organ H&E cell data set. The experimental results show that the Dice coefficient, Jaccard similarity coefficient, recall and accuracy of the improved U-net network model for H&E cell image segmentation reach 0.8260, 0.60, 0.8380 and 0.8270 respectively. Compared with U-net network, the above parameters of the improved U-net model are increased by 1.7%, 3.9%, 1.2% and 2.2% respectively. Compared with CNN network, the accuracy rate is improved by 3.5%, and cell segmentation is more accurate than other literatures. © 2023 IEEE.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

ChatGPT Based image Steganography (CGIS): A Novel Intelligent Information Hiding Approach to Achieve Secure Covert Communication 1

ChatGPT Based Image Steganography (CGIS): A Novel Intelligen...

引用

1st international conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023

作者： Mukherjee, Subhadip Mukhopadhyay, Somnath Sarkar, Sunita Assam University Department of Computer Science and Engineering Silchar788011 India Sikkim University Department of Computer Application Gangtok737102 India

ISBN: (纸本)9798350342796

Covert communication refers to the practice of exchanging information or messages in a discreet or secretive manner, with the intent of keeping the communication hidden from unintended or unauthorized recipients. Steganography is a widely used, strategy for establishing covert communication, for maintaining the privacy and security of sensitive information. Steganography ensures that the message remains concealed from surveillance or eavesdropping. Artificial Intelligence (AI) plays a crucial role in enhancing security across various domains of covert communication. ChatGPT is an AI model, specifically a natural language processing (NLP) model. It belongs to the broader category of AI models which can comprehend and produce language for humans. In this paper, a new image steganographic model named CGIS is developed for covert communication using ChatGPT. Proposed steganographic method has achieved 3.0 bpp of hiding capacity. In situations where confidentiality is critical, such as in military operations, intelligence agencies, or corporate strategies, proposed method ensures that the message cannot be detected and or extracted by any surveillance or eavesdropper. © 2023 IEEE.

关键词： Artificial Intelligence CGIS ChatGPT Covert Communication image Steganography

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Technique for computer vision-Based Pose Estimation for Augmented Reality 3rd

Deep Learning Technique for Computer Vision-Based Pose Estim...

引用

3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Palanimeera, J. Ponmozhi, K. Jyothi, Kanagaraj Dargar, Shashi Kant Birla, Shilpi Department of Computer Applications Sathyabama Institute of Science and Technology Chennai India Department of Computer Applications Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Biotechnology Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Electronics and Communication Engineering Manipal University Jaipur Rajasthan Jaipur India

ISBN: (纸本)9789819784288

Pose estimation approaches of open pose were suggested. Pose estimation in real-time is a difficult research subject with many computer vision applications. Pose estimation applications are Human Activity Estimation, Motion Transfer and Augmented Reality, Training Robots, Motion Tracking for Consoles, and Human Fall Detection. This paper describes the Augmented Reality (AR) of pose estimation. AR is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. One interesting use for obtaining the Open-Pose discovered important locations in each pose is in the field of augmented reality. A technique for 3D model overlays on an image using pose key point information that is presented in this study. To extract crucial information from the data, the fully convolutional networks deep learning technique is used. The technique used in this work comprises the real-time intersection of the picture plane with the intended 3D model and accurate model orientation based on the key point data. The performance will greatly depend on the Graphics processing Unit specifications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of a Memory Protection Mechanism Adhering to the Specifications of AUTOSAR OS SC3 8

Design and Implementation of a Memory Protection Mechanism A...

引用

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

作者： Miao, Zhiwei Xu, Shuanghao Liu, Jianpei Wang, Zhiguo Wen, Bin Sch. of Computer Science National Pilot Software Engineering School Beijing University of Posts and Telecommunications Beijing China Beijing Siener Electronics Tech. Development Co. Ltd. Product Development Department Beijing China

ISBN: (纸本)9798350305838

As the dynamics of intelligentization, connectivity, electrification, and collaborative processes within the automotive sector persist in their rapid evolution, there has been an escalating focus on the matter of functional safety within vehicular operating systems. Within the context of this evolving landscape, the present scholarly work offers an exposition on the conception and realization of a memory protection mechanism in adherence to the AUTOSAR OS SC3 standard. In response to the limitations inherent in traditional memory protection mechanisms, necessitating manual configuration of address ranges for the determination of protection intervals, this novel mechanism introduces an approach for the dynamic acquisition of addresses and the establishment of protection range parameters. The practical execution and empirical assessment of this mechanism transpired on the Infineon AURIX TC275 microcontroller. The outcomes of the testing procedures elucidate that this approach not only fulfills the requisites of memory protection but also augments code portability and development efficiency. © 2023 IEEE.

关键词： Automotive industry

来源：评论

学校读者我要写书评

暂无评论

Exploring Anatomical Similarity in Cardiac-Gated Spect images for A Deep Learning Network 30

Exploring Anatomical Similarity in Cardiac-Gated Spect Image...

引用

30th IEEE international conference on image processing, ICIP 2023

作者： Zhang, Xirang Yang, Yongyi Pretorius, P. Hendrik King, Michael A. Illinois Institute of Technology Department of Electrical and Computer Engineering ChicagoIL60616 United States University of Massachusetts Medical School Department of Radiology WorcesterMA01655 United States

ISBN: (纸本)9781728198354

Motion compensation is effective for reducing motion blur in cardiac gated imaging. In this work, we investigate the potential benefit of incorporating an anatomical similarity measure in training a deep learning (DL) network for motion compensation on cardiac gated SPECT images, which are known to suffer from limited data counts and exhibit image intensity distortion (due to partial-volume effect) associated with cardiac motion. In this similarity measure we utilize the spatial image gradient to characterize the correspondence of boundary points on the left-ventricular wall between two gate frames. In the experiment we demonstrated this approach on a set of 197 clinical acquisitions, and the results show that with the proposed approach the DL network can improve the anatomical similarity among the gate frames upon motion compensation. © 2023 IEEE.

关键词： Motion compensation

来源：评论

学校读者我要写书评

暂无评论

The Optimal Path of New Media City image Communication Strategy Based on Data Mining Technology

The Optimal Path of New Media City Image Communication Strat...

引用

2022 international conference on computer Graphics, Artificial Intelligence, and Data processing, ICCAID 2022

作者： Li, JiaYin Xi'an Eurasia University Shaanxi Xi'an710065 China

ISBN: (纸本)9781510663350

With the wider application of data mining technology, new media has been accepted by people for its high communication efficiency, good communication quality, and strong interaction. The city is an important factor of modernization, and the use of new media to spread the image of the city can promote the rapid development of the city. Based on this, the purpose of this article is to research and analyze the optimization path of new media city image communication strategy based on data mining technology. This article first summarizes the status quo of urban image communication, and then extends the theory of urban image communication and analyzes it in detail. Then through the analysis of new media communication methods and their advantages in urban communication. This article elaborates on the new media communication based on data mining technology, and uses questionnaire survey method, field survey method and other research methods to carry out experimental research on the theme of this article. Research shows that new media has become an important channel for city image communication. © 2023 SPIE.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Application research of hyperspectral remote sensing in the identification of stratigraphic boundaries alongside growing tunnels 4

Application research of hyperspectral remote sensing in the ...

引用

4th international conference on Telecommunications, Optics, and computer Science, TOCS 2023

作者： Bi, Xiaojia Jiang, Liangwen Dong, Qing He, Lei Wang, Dong China Railway ErYuan Engineering Group Co. Ltd Sichuan Chengdu China Beijing China School of Software Engineering Chengdu University of Information Technology Sichuan Chengdu China

ISBN: (数字)9781510679849

ISBN: (纸本)9781510679832

The geological survey along the large railway in China is difficult, the boundaries of many regional geological maps are unclear, and the geological mapping is very different. The use of hyperspectral remote sensing can greatly improve the survey accuracy in complex mountainous areas. In the identification of lithology and structure, hyperspectral remote sensing has certain advantages compared with multi-spectral satellite images. In this paper, the hyperspectral data of Gaofen-5 satellite is interpreted by a series of technical methods, such as data preprocessing, radiometric calibration, atmospheric correction, orthographic correction, image information enhancement, radiation homogenization processing, etc. According to different geological conditions, lithologic structure information by hyperspectral information enhancement technology in different regions and layers. Different geological units are effectively divided, the distribution characteristics of geological structure space are identified, and some stratigraphic boundaries of the original geological map are adjusted. This paper solves the problems that the survey personnel of long and large tunnels cannot reach, and the conventional survey methods cannot verify the stratigraphic boundaries and lithological characteristics. It also provides an important auxiliary reference value for the identification of surrounding rock of hyperspectral remote sensing. © 2024 SPIE.

关键词： image enhancement

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 << < 480 481 482 483 484 485 486 487 488 489 > >>

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：