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

616 篇 会议
75 册 图书
5 篇 期刊文献

馆藏范围

696 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

380 篇 工学
- 326 篇 计算机科学与技术...
- 231 篇 软件工程
- 96 篇 信息与通信工程
- 64 篇 控制科学与工程
- 61 篇 生物工程
- 48 篇 生物医学工程（可授...
- 42 篇 电气工程
- 37 篇 仪器科学与技术
- 27 篇 光学工程
- 27 篇 石油与天然气工程
- 23 篇 化学工程与技术
- 20 篇 电子科学与技术（可...
- 19 篇 机械工程
- 13 篇 环境科学与工程（可...
- 13 篇 安全科学与工程
- 12 篇 交通运输工程
198 篇 理学
- 104 篇 数学
- 66 篇 生物学
- 46 篇 化学
- 32 篇 物理学
- 26 篇 统计学（可授理学、...
- 16 篇 系统科学
101 篇 管理学
- 71 篇 图书情报与档案管...
- 58 篇 管理科学与工程(可...
- 21 篇 工商管理
41 篇 医学
- 23 篇 临床医学
- 18 篇 基础医学(可授医学...
- 15 篇 药学(可授医学、理...
- 15 篇 特种医学
14 篇 法学
- 11 篇 社会学
9 篇 教育学
8 篇 农学
7 篇 经济学
1 篇 艺术学

主题

79 篇 pattern recognit...
48 篇 artificial intel...
33 篇 computer imaging...
26 篇 computer applica...
25 篇 machine learning
23 篇 computer vision
18 篇 data mining and ...
18 篇 image processing...
16 篇 image segmentati...
16 篇 data mining
16 篇 computer systems...
16 篇 layout
15 篇 optical computin...
15 篇 shape
14 篇 deep learning
14 篇 feature extracti...
12 篇 pattern matching
12 篇 computer communi...
11 篇 concurrent compu...
11 篇 information stor...

机构

32 篇 shenyang institu...
27 篇 university of ch...
21 篇 shenyang institu...
8 篇 chitkara univers...
7 篇 school of comput...
7 篇 chinese academy ...
6 篇 fujian key labor...
6 篇 guangdong univer...
6 篇 tsinghua univers...
6 篇 zhejiang univers...
6 篇 central south un...
6 篇 unsw sydney
6 篇 university of ch...
5 篇 engineering rese...
5 篇 university of te...
5 篇 dalian universit...
5 篇 university of sy...
5 篇 the 54th researc...
5 篇 institute of aut...
5 篇 school of engine...

作者

10 篇 hornegger joachi...
6 篇 zheng-guang wu
6 篇 hongyi li
6 篇 chaojie li
6 篇 biao luo
6 篇 yu bihui
6 篇 long cheng
5 篇 yihe zhang
5 篇 aiming wu
5 篇 zhou xiaolei
5 篇 baohua qiang
5 篇 hui huang
5 篇 tiwari raj gaura...
5 篇 da-han wang
5 篇 jing dong
5 篇 ajith abraham
5 篇 jiwen lu
5 篇 yongjie yang
5 篇 agarwal ambuj ku...
5 篇 risheng liu

语言

687 篇 英文
6 篇 其他
3 篇 中文

检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

共 696 条记录，以下是311-320 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：

3rd international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2022, held in conjunction with the 25th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2022

3rd International Workshop on Multiscale Multimodal Medical ...

引用

3rd international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2022, held in conjunction with the 25th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2022

ISBN: (纸本)9783031188138

the proceedings contain 12 papers. the special focus in this conference is on Multiscale Multimodal Medical Imaging. the topics include: Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation;Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans;visual Modalities Based Multimodal Fusion for Surgical Phase recognition;cross-Scale Attention Guided Multi-instance Learning for Crohn’s Disease Diagnosis with Pathological Images;vessel Segmentation via Link Prediction of Graph Neural Networks;A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset;Liver Segmentation Quality Control in Multi-sequence MR Studies;pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI;gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation;Learning-Based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Dynamic Spatio-temporal Network with Self-attention for Multi-station Passenger Flow Prediction

A Dynamic Spatio-temporal Network with Self-attention for Mu...

引用

international conference on Awareness Science and Technology (iCAST)

作者： Fengzhi Wang Qinzhi Lv Lijuan Liu College of Computer and Information Engineering Xiamen University of Technology Xiamen China Fujian Key Laboratory of Pattern Recognition and Image Understanding

Passenger flow prediction is vitally significant for intelligent transportation systems (ITS). Most of the studies typically focus on the passenger flow prediction for an individual station, and only capture the temporal features without considering any spatial features. Constructing a passenger flow prediction model for multiple stations, or even a whole network, is more valuable for practical applications. therefore, we develop a dynamic spatio-temporal network (DSTNet) with a self-attention (SA) mechanism for multi-station passenger flow prediction. A dynamic graph convolutional network (DGCN) is applied for the spatial feature extraction, and gated recurrent unit (GRU) is combined to learn the temporal features. SA is applied to further assign the weights for the extracted spatio-temporal features. the Experiment has been conducted on the passenger flow in the Xiamen bus rapid transit (BRT). the results demonstrate that the proposed DSTNet with SA (SA-DSTNet) outperforms the baselines in the multi-station passenger flow prediction task.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Road Traffic Accident pattern Analysis with Data Mining

Road Traffic Accident Pattern Analysis with Data Mining

引用

international conference on Awareness Science and Technology (iCAST)

作者： Albe Bing Zhe Chai Bee theng Lau Mark Kit Tsun Tee Chris McCarthy Faculty of Engineering Computing & Science Swinburne University of Technology Sarawak Campus Kuching Malaysia Department of Computer Science & Software Engineering Swinburne University of Technology Melbourne Australia

the discovery of Road Traffic Accident (RTA) patterns is vital to formulate mitigation strategies based on the characteristics of RTA. Various studies have applied association rule mining for RTA pattern discovery. However, limited research has conducted a comparative analysis of RTA patterns in different regions. this work is necessary to identify the similarities and differences of RTA characteristics between different regions, especially the developed and developing countries with different RTA trends in fatality rates. this work explored the application of association rule mining (FP-Growth algorithm) to discover and compare the RTA patterns for developed and developing countries. the Orange Data Mining software is used to discover RTA patterns for Ethiopia (12,317 samples) and the UK (United Kingdom) (1,048,575 samples), representing developing and developed countries. Eventually, findings showed similarities and differences in RTA patterns between Ethiopia and the UK. Road characteristics and conditions are the common factors contributing to RTA severity levels, while other crucial factors include the light condition and speed limit. In conclusion, the discovery of RTA patterns in different regions is beneficial to assist in formulating strategies to reduce the risk of RTA. Future work is necessary to discover the RTA patterns from different perspectives, such as seasonal or periodical variations of RTA patterns.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dynamic Convolutional Feature Pyramid Based Food Image recognition Method 23

Dynamic Convolutional Feature Pyramid Based Food Image Recog...

引用

proceedings of the 2023 6th international conference on Artificial Intelligence and pattern recognition

作者： Shuyan Wang Chutong Cui school of computing Xi'an University of Posts and Telecommunications China

ISBN: (纸本)9798400707674

Food image recognition has become a research hotspot in many fields such as computer vision, medical and health informatics, and data mining, and has very important research value and application prospects. In this paper, we optimize CNN networks and propose a lightweight food image recognition model MobileFoodNets based on dynamic convolutional feature pyramids, which uses full-dimensional dynamic convolution instead of conventional convolutional layers to improve the feature extraction capability of the model. For the characteristics of food images with large scale variations, this paper adds a feature pyramid structure to the model, which can improve the robustness to different recognition targets. We conducted several experiments using the currently recognized Vireo Food-172 food benchmark dataset, and the MobileFoodNets model obtained a top-1 accuracy of 85.21% and a top-5 accuracy of 94.36%. the experimental results show that the model in this paper outperforms all existing food image recognition methods on the Vireo Food-172 dataset.

关键词： Convolutional Neural Networks Dynamic Convolution Feature Pyramid Food Image recognition

来源：评论

学校读者我要写书评

暂无评论

Low-Cost Mobile-Based Augmented Reality Viewer: Bridging the Gap Between Affordable AR Glasses and Smartphones 23

Low-Cost Mobile-Based Augmented Reality Viewer: Bridging the...

引用

proceedings of the 2023 12th international conference on Networks, Communication and computing

作者： Kent T. Espejon Jaymer M. Jayoma Elbert S. Moyon College of Computing and Information Sciences Caraga State University Philippines

ISBN: (纸本)9798400709265

this research project aims to enhance the accessibility of Augmented Reality (AR) technology by developing a low-cost mobile-based AR viewer. the study delves into the hardware and software setup, conducting a comprehensive feature analysis of both the mobile-based AR viewer and traditional AR glasses. Emphasizing the accessibility advantages inherent to the mobile-based AR viewer while candidly acknowledging its limitations, the research also explores the broader implications for AR technology adoption and outlines strategies for future improvements in this evolving field.

关键词： Augmented Reality Cost Analysis Cost-Effectiveness Mobile-Based AR Viewer Traditional AR Glasses

来源：评论

学校读者我要写书评

暂无评论

Plant Seedling recognition Using Swin-Transformer Network Architecture 23

Plant Seedling Recognition Using Swin-Transformer Network Ar...

引用

proceedings of the 2023 6th international conference on Artificial Intelligence and pattern recognition

作者： Xu Xuebin Gao Xiangdong Wang Ruizhe School of Computing Xi 'an University of Posts and Telecommunications China Xi 'an University of Posts and Telecommunications China

ISBN: (纸本)9798400707674

the study proposes a novel method for plant seedling image recognition using the Swin-Transformer network architecture, a convolutional neural network architecture developed by the Microsoft Research Institute. the aim of the study is to overcome the limitations of traditional manual methods of plant seedling classification through machine-based recognition to achieve precise identification of crops during field nursery, fertilizer management, and enhance crop yield and quality. the proposed approach leverages the Swin-Transformer network and various data processing techniques to achieve higher accuracy and generalization ability for fine-grained seedling classification. the study includes extensive experiments on relevant datasets using a high-performance GPU environment and compares its method with other state-of-the-art approaches, which demonstrate better classification accuracy results. Besides plant seedling recognition research, the paper also has practical applications. Finally, the paper evaluates the proposed method using commonly used machine learning evaluation metrics to assess model performance.

关键词： Image Classification Swin-Transformer Image recognition of Plant Seedlings

来源：评论

学校读者我要写书评

暂无评论

A New Electronic Voting System Based on Elliptic Curve in a Cloud computing Environment 12th

A New Electronic Voting System Based on Elliptic Curve in a ...

引用

12th international conference on Soft computing and pattern recognition, SoCPaR 2020 and 16th international conference on Information Assurance and Security, IAS 2020

作者： Semmouni, Meryem Cherkaoui Azougaghe, Ali Nitaj, Abderrahmane Belkasmi, Mostafa ICES Team ENSIAS Mohammed V University in Rabat Rabat Morocco LMNO University of Caen Normandie Caen France

ISBN: (纸本)9783030736880

the process of democratization is developing and promoting due to electronic voting. However, the increase of frauds and the increasing amount of attacks launched by hackers, gave birth to privacy and authentication problems. Cryptography offers multiple solutions to overcome the sensitive data protection issues in e-voting. In this paper, we study the application of elliptic curve cryptography, and use the homomorphic encryption properties to present a new electronic voting system. Our new scheme is based on the homomorphic cryptosystem EC-ELGAMAL [7], and zero knowledge algorithm of Schnorr algorithm for identification and authentication. © 2021, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Personal computing

来源：评论

学校读者我要写书评

暂无评论

SOCRAR: Semantic OCR through Augmented Reality 22

SOCRAR: Semantic OCR through Augmented Reality

引用

proceedings of the 12th international conference on the Internet of things

作者： Jannis Strecker Kimberly García Kenan Bektaş Simon Mayer Ganesh Ramanathan University of St. Gallen Switzerland

ISBN: (纸本)9781450396653

To enable people to interact more efficiently with virtual and physical services in their surroundings, it would be beneficial if information could more fluently be passed across digital and non-digital spaces. To this end, we propose to combine semantic technologies with Optical Character recognition on an Augmented Reality (AR) interface to enable the semantic integration of (written) information located in our everyday environments with Internet of things devices. We hence present SOCRAR, a system that is able to detect written information from a user’s physical environment while contextualizing this data through a semantic backend. the SOCRAR system enables in-band semantic translation on an AR interface, permits semantic filtering and selection of appropriate device interfaces, and provides cognitive offloading by enabling users to store information for later use. We demonstrate the feasibility of SOCRAR through the implementation of three concrete scenarios.

关键词： Optical Character recognition Web of things Knowledge Graph Augmented Reality Ubiquitous computing

来源：评论

学校读者我要写书评

暂无评论

"How Can I Code A.I. Responsibly?": the Effect of Computational Action on K-12 Students Learning and Creating Socially Responsible A.I. 37

"How Can I Code A.I. Responsibly?": The Effect of Computatio...

引用

37th AAAI conference on Artificial Intelligence, AAAI 2023

作者： Nicole Pang, H. Parks, Robert Breazeal, Cynthia Abelson, Hal Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States

ISBN: (纸本)9781577358800

Teaching young people about artificial intelligence (A.I.) is recognized globally as an important educational effort by organizations and programs such as UNICEF, OECD, Elements of A.I., and AI4K12. A common theme among K-12 A.I. education programs is teaching how A.I. can impact society in both positive and negative ways. We present an effective tool that teaches young people about the societal impact of A.I. that goes one step further: empowering K-12 students to use tools and frameworks to create socially responsible A.I. the computational action process is a curriculum and toolkit that gives students the lessons and tools to evaluate positive and negative impacts of A.I. and consider how they can create beneficial solutions that involve A.I. and computing technology. In a human-subject research study, 101 U.S. and international students between ages 9 and 18 participated in a one-day workshop to learn and practice the computational action process. Pre-post questionnaires measured on the Likert scale students' perception of A.I. in society and students' desire to use A.I. in their projects. Analysis of the results shows that students who identified as female agreed more strongly with having a concern about the impacts of A.I. than those who identified as male. Students also wrote open-ended responses to questions about what socially responsible technology means to them pre- and post-study. Analysis shows that post-intervention, students were more aware of ethical considerations and what tools they can use to code A.I. responsibly. In addition, students engaged actively with tools in the computational action toolkit, specifically the novel impact matrix, to describe the positive and negative impacts of A.I. technologies like facial recognition. Students demonstrated breadth and depth of discussion of various A.I. technologies' far-reaching positive and negative impacts. these promising results indicate that the computational action process can be a helpful additio

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Generative Data Augmentation for Arabic Handwritten Digit recognition Boosting Real-time OCR Capabilities 23

Generative Data Augmentation for Arabic Handwritten Digit Re...

引用

proceedings of the 2023 6th international conference on Artificial Intelligence and pattern recognition

作者： Majid Memari Khaled R. Ahmed Shahram Rahimi School of Computing Southern Illinois University USA Department of Computer Science Mississippi State University USA

ISBN: (纸本)9798400707674

this study assesses the effectiveness of Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in enhancing Optical Character recognition (OCR) accuracy for Arabic handwritten digits, an area with limited research and significant challenges arising from character similarities. By employing data augmentation to generate varied images, we aim to address the issues OCR systems face with low-quality or distorted inputs. We introduce a novel procedure to calculate the Fréchet Inception Distance (FID), to accurately measure the quality of synthetic images during training, facilitating early stopping to optimize model performance. Additionally, using Saliency Maps allows for detailed analysis of OCR improvements. Our findings highlight the potential of synthetic data in advancing real-time OCR systems, with our evaluation procedure offering a faster, more accurate alternative to traditional quality metrics.

关键词： Generative Adversarial Networks Generative Models Optical Character recognition Real-time Data Augmentation Synthetic Image Evaluation Variational Autoencoders

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70页 << < 28 29 30 31 32 33 34 35 36 37 > >>

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：