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

4,147 篇 会议
63 册 图书
20 篇 期刊文献

馆藏范围

4,230 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,282 篇 工学
- 2,670 篇 计算机科学与技术...
- 2,213 篇 软件工程
- 1,010 篇 信息与通信工程
- 529 篇 生物工程
- 404 篇 控制科学与工程
- 364 篇 生物医学工程（可授...
- 352 篇 电气工程
- 311 篇 光学工程
- 254 篇 电子科学与技术（可...
- 215 篇 安全科学与工程
- 194 篇 化学工程与技术
- 190 篇 交通运输工程
- 189 篇 仪器科学与技术
- 183 篇 动力工程及工程热...
- 180 篇 机械工程
- 161 篇 网络空间安全
1,689 篇 理学
- 755 篇 数学
- 566 篇 生物学
- 444 篇 物理学
- 279 篇 统计学（可授理学、...
- 272 篇 化学
- 151 篇 系统科学
1,025 篇 管理学
- 674 篇 图书情报与档案管...
- 540 篇 管理科学与工程(可...
- 282 篇 工商管理
286 篇 医学
- 271 篇 临床医学
- 267 篇 基础医学(可授医学...
- 196 篇 药学(可授医学、理...
180 篇 法学
- 129 篇 社会学
122 篇 农学
- 122 篇 作物学
104 篇 经济学
87 篇 教育学
11 篇 文学
10 篇 军事学
3 篇 艺术学

主题

110 篇 deep learning
104 篇 feature extracti...
92 篇 computer vision
73 篇 training
68 篇 accuracy
65 篇 computational mo...
65 篇 machine learning
59 篇 image processing
59 篇 artificial intel...
58 篇 data mining
57 篇 semantics
55 篇 convolutional ne...
54 篇 object detection
54 篇 image segmentati...
53 篇 computer archite...
52 篇 smart cities
49 篇 natural language...
48 篇 internet of thin...
46 篇 real-time system...
42 篇 big data

机构

15 篇 college of infor...
13 篇 school of comput...
13 篇 school of comput...
11 篇 department of co...
11 篇 xi'an university...
10 篇 key laboratory o...
10 篇 shanghai institu...
10 篇 school of inform...
9 篇 wuhan university...
9 篇 computer science...
9 篇 school of inform...
8 篇 college of compu...
8 篇 sri lanka instit...
8 篇 school of inform...
8 篇 school of inform...
8 篇 school of comput...
8 篇 peng cheng labor...
8 篇 xi'an shiyou uni...
8 篇 school of comput...
8 篇 college of compu...

作者

12 篇 wang peng
10 篇 mekruksavanich s...
9 篇 yingsong li
9 篇 temdee punnarumo...
9 篇 zhao hui
9 篇 li yingsong
9 篇 jitpattanakul an...
8 篇 gaol ford lumban
8 篇 li wei
7 篇 nikola zlatanov
7 篇 zhang chao
7 篇 wang chao
7 篇 li liping
7 篇 wang wei
7 篇 sun fuchun
7 篇 wang yang
7 篇 zlatanov nikola
7 篇 wang hao
7 篇 liping li
7 篇 zhang jian

语言

4,058 篇 英文
165 篇 其他
4 篇 中文
2 篇 俄文
2 篇 土耳其文

检索条件"任意字段=7th International Conference on Computer and Information Processing Technology, ISCIPT 2022"

共 4230 条记录，以下是971-980 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：

Multisensor Combination Algorithm Based on DS Evidence theory and Lance Distance 7

Multisensor Combination Algorithm Based on DS Evidence Theor...

引用

7th international Symposium on Advances in Electrical, Electronics, and computer Engineering

作者： Lei, Hongxuan Sun, Jian School of Computer Science and Technology Taizhou University Jiangsu Taizhou225300 China

ISBN: (纸本)9781510656437

Multisensor combination with conflict characteristics is a very important task, and Jousselme distance has defects in measuring two special evidences, we propose a novel multisensor data combination algorithm based on DS evidence theory and Lance distance. Numerical simulation shows that this algorithm is effective and converges quickly in multisensor combination with conflict, and the trust degree of the identified target reaches 0.9943. © 2022 SPIE. All rights reserved.

关键词： Image processing

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Face Detection: Exploring the Potential of MTCNN Algorithm for Human Face Recognition 7

Revolutionizing Face Detection: Exploring the Potential of M...

引用

7th international conference on Image information processing, ICIIP 2023

作者： Honey Oberoi, Sukhwinder Singh Punjabi University Patiala Department of Computer Science Punjab India Guru Hargobind Sahib Khalsa Girls College Department of Computer Science Karhali Sahib Punjab Patiala India

ISBN: (纸本)9798350371406

In the rapidly advancing land scape of technology, the pivotal role off ace detections pans across diverse sectors, including security systems, biometrics, and human-computer interaction. this review meticulously explores the cutting-edge realm off ace detection methodologies, with a specific focus on Multitask Cascaded Convolutional Networks (MTCCN) technology, renowned for its resilience and efficiency in coding intricate facial patterns amidst challenging environmental conditions. this comprehensive review offers an in-depth analysis of MTCCN's architectural frame work, shedding light on its unique attributes and capabilities. the journey through the evolutionary trajectory off ace detection algorithms culminates in the ground breaking inception of MTCCN, underscoring the fundamental contribution of Convolutional Neural Networks (CNNs) to this paradigm shift. Moreover, the integration of MTCCN into various applications is examined, emphasizing its tangible impact in real-time scenarios, notably in the domain of real-time face capturing. Beyond the technical intricacies, this review critically dissects the obstacles faced by existing face detection systems and illuminate show MTCCN adeptly navigates these challenges. Furthermore, it provides a visionary exploration in to the future prospects of MTCCN technology, shedding light on the ongoing research endeavours in this dynamic field. By synthesizing existing literature and recent breakthroughs, this review serves as an invaluable resource for researchers, practitioners, and enthusiasts, unravelling the complexities of face detection technologies. It uniquely accentuates MTCCN's transformative potential, offering a holistic understanding of its application horizons, especially in the realm of real-time face capturing, a domain of increasing importance in our interconnected world. © 2023 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Analysis and Research of Generative Adversarial Network in Anomaly Detection 7

Analysis and Research of Generative Adversarial Network in A...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Zhang, Lin Fan, Fuyou Dai, Yang He, Chunlin China West Normal University School of Electronic Information Engineering Nanchong China Yibin University Faculty of Artificial Intelligence and Big Data Intelligent Terminal Key Laboratory of Sichuan Province Yibin China China West Normal University School of Computer Science Nanchong China

ISBN: (纸本)9781665478571

In recent years, generative adversarial networks (GAN) have become a research hotspot in the field of deep learning. Researchers apply them to the field of anomaly detection and are committed to effectively and accurately identifying abnormal images in practical applications. In anomaly detection, traditional supervised learning algorithms have limitations in training with a large number of known labeled samples. therefore, the anomaly detection model of unsupervised learning GAN is the research object for discussion and research. Firstly, the basic principles of GAN are introduced. Secondly, several typical GAN-based anomaly detection models are sorted out in detail. then by comparing the similarities and differences of each derivative model, discuss and summarize their respective advantages, limitations and application scenarios. Finally, the problems and challenges faced by GAN in anomaly detection are discussed, and future research directions are prospected. © 2022 IEEE.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

An Improved Bi-LSTM Model for Entity Extraction of Intellectual Property Using Complex Graph 23

An Improved Bi-LSTM Model for Entity Extraction of Intellect...

引用

23rd IEEE international conference on High Performance Computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Wang, Youning Liu, Qi Wang, Yang School of Computer and Software Nanjing University of Information Science and Technology Nanjing China School of Intellectual Property Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9781665494571

the protection of Intellectual Property (IP) has gradually increased in recent years. Traditional intellectual property management service has lower efficiency for such scale of data. Considering that the maturity of deep learning models has led to the development of knowledge graphs. Relevant researchers have investigated the application of knowledge graphs in different domains, such as medical services, social media, etc. However, few studies of knowledge graphs have been undertaken in the domain of intellectual property. In this paper, we introduce the process of building a domain knowledge graph and start from data preparation to conduct the research of named entity recognition. © 2021 IEEE.

关键词： Deep learning Dictionaries Social networking (online) Smart cities Intellectual property Medical services Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Improvising the CNN Feature Maps through Integration of Channel Attention for Handwritten Text Recognition 7th

Improvising the CNN Feature Maps Through Integration of Chan...

引用

7th international conference on computer Vision and Image processing, CVIP 2022

作者： Shashank, B.N. Bhattu, S. Nagesh Sri Phani Krishna, K. Department of Computer Science and Engineering National Institute of Technology Andhra Pradesh Tadepalligudem India Department of Electrical Engineering National Institute of Technology Andhra Pradesh Tadepalligudem India

ISBN: (纸本)9783031314162

Convolutional Neural Network (CNN) based encoder and Recurrent Neural Network (RNN) based decoder architectures are widely used in the design of Handwritten Text Recognition (HTR) systems. Effective encoder representation plays a vital role in improving the performance of HTR systems. Squeeze and Excitation Networks, used in the context of image classification, object detection and scene classification, capture global inter-channel dependencies. ECA-Net learns channel attention via local Cross Channel Interaction (CCI). the current work proposes an encoder-decoder architecture for HTR which combines the benefits of local and global cross-channel attention for effective encoder representation. Experimental results on the IAM dataset show that there is an 8.98%, 3.24% reduction in Character Error Rate (CER) and an 8.98%, 3.45% reduction in Word Error Rate (WER) when the proposed module is applied to the state-of-the-art HTR Flor model and Puigcerver model respectively. the proposed work also presents a detailed error analysis at the character level on the IAM dataset. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

the Relationship of Design Principles and the Types of Virtual Reality from Novice Designers' Perspective 7

The Relationship of Design Principles and the Types of Virtu...

引用

7th international conference on Digital Arts, Media and technology, DAMT 2022 and 5th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications Engineering, NCON 2022

作者： Nobaew, Banphot Mae Fah Luang University School of Information Technology Chiang Rai Thailand

ISBN: (纸本)9781665495103

Virtual Reality(VR) is a new frontier of the digital world by providing users with fully immersive. Many industrials take its capability to create valuable experiences for different purposes: edutainment, tourist, commercial, medical, and academic domains. VR can provide user experiences by various components, especially an initial visual design, immersion, and interactivities. this paper aims to verify the fundamental principles of design for VR from novice designer perspectives. the result showed a statistically significant difference in fundamental principles variables used to create virtual reality. Moreover, VR design principles effect different types of VR and specific domains. For example, the navigation principle suits the design of AR in learning and MR on tourists while affordance proper VR design for tourists. Feedback principle influences MR design in a commercial, and color influences VR design for commercials. the finding can be further used to design a VR system for supporting the local hill-tribe product, organic coffee. © 2022 IEEE.

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

Music Recommendation System Based on Facial Expression using CNN 7th

Music Recommendation System Based on Facial Expression using...

引用

7th IFIP TC 12 international conference on Computational Intelligence in Data Science, ICCIDS 2024

作者： Roshika, R. Girish, Anjana Karthik, N. Vani, V. Department of Computer Science and Engineering National Institute of Technology Puducherry Puducherry Karaikal609 609 India

ISBN: (纸本)9783031699818

this music recommendation system focuses on the creation of an innovative music recommendation system designed to suggest songs tailored to users’ facial emotions and preferences derived from their online behavior. Extensive user details are scrutinized and summarized to comprehend individual musical tastes. Real-time facial emotion detection, coupled with social web content summarization, aids in the identification of singer names. the system recommends songs based on detected emotions and identified singer names, offering suggestions for popular songs and playlists. An insightful observation reveals users’ inclination toward happy songs during moments of joy, prompting a unique approach to address a recognized issue. Rather than exacerbating low moods with sad songs, the system recommends motivational or happy songs, showcasing its commitment to uplifting users. User studies affirm the precision and utility of the project, underscoring the overarching goal to provide a music recommendation system that not only caters to users’ musical preferences but also enhances their emotional well-being. the integration of continuous facial emotion detection and website summarization into the recommendation process adds a novel and dynamic facet to the system’s capabilities. © IFIP international Federation for information processing 2024.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Multi-scale Convolutional Network for fMRI-Based Diagnosis of Autism Spectrum Disorder 7

Multi-scale Convolutional Network for fMRI-Based Diagnosis o...

引用

7th international conference on Signal and Image processing, ICSIP 2022

作者： Zhang, Heqian Wang, Zhaohui Hainan University School of Computer Science and Technology Haikou China

ISBN: (数字)9781665495639

ISBN: (纸本)9781665495639

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that can seriously affect children's physical and mental development. Early diagnosis of autism is crucial for treatment and recovery of normal development. Currently, most diagnoses are based on behavioral observations of symptoms. With the combination of deep learning techniques and medical imaging, MRI-assisted diagnosis methods for autism are increasingly available. the fineness and complexity of ASD lesions bring great challenges to the establishment of robust models. In this paper, a multi-scale 3D-Res2Net-based model with attention subnets for ASD classification is proposed, which can select a suitable fusion strategy for multi-scale information of different layers. the model was trained and tested by fMRI from Autism Brain Imaging Data Exchange dataset. the result of a 5-fold cross-validation shows that the accuracy reaches 75%. Our method has achieved a better classification performance in the assisted diagnosis of autism than conventional deep learning models. © 2022 IEEE.

关键词： Electronic data interchange

来源：评论

学校读者我要写书评

暂无评论

Epileptic seizure prediction from multivariate EEG data using Multidimensional convolution network 7

Epileptic seizure prediction from multivariate EEG data usin...

引用

7th international conference on Communication, Image and Signal processing, CCISP 2022

作者： Wei, Xiaoyan Wang, Yao Zhang, Zhen Cao, Xiaojun Zhou, Yi Guangzhou Women and Children's Medical Center Information Data Department Guangzhou China School of Biomedical Engineering Sun Yat-sen University Guangzhou China School of Computer Science and Engineering Huizhou University Huizhou China

ISBN: (数字)9781665459594

ISBN: (纸本)9781665459594

Background: the ability to predict coming seizures will improve the quality of life of patients with epilepsy. Analysis of brain electrical activity using electroencephalogram (EEG) signals can be used to predict ***:Seizure prediction can be regarded as a binary classification problem between interictal and preictal EEG signals. In this work, we used multidimensional convolutional neural network models to predict seizures. Hospital multivariate EEG data is used in the study. We extracted 22 channels, 10 seconds EEG segments from the interictal and pre-ictal time durations and fed them to the proposed deep learning ***:the average accuracy of multidimensional deep network model for multi-channel EEG data is about 94%, the average sensitivity is 88.47%, and the average specificity is 89.75%. Conclusion:the normalized multivariable EEG signals are sent to the multidimensional convolution network to effectively predict seizures. © 2022 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Robust Secret Image Sharing Based on Robust Chinese Reminder theorem 7

Robust Secret Image Sharing Based on Robust Chinese Reminder...

引用

7th international conference on Communication, Image and Signal processing, CCISP 2022

作者： Jin, Xiaohui Miao, Fuyou School of Cyber Science and Technology University of Science and Technology of China Hefei China School of Computer Science and Technology University of Science and Technology of China Hefei China

ISBN: (数字)9781665459594

ISBN: (纸本)9781665459594

In a (k,\ n) threshold secret image sharing (SIS) scheme, the original secret image can be reconstructed losslessly by collecting no less than k shadow images without errors. However, during the transmission or storage of the shadow image, if the transmission channel is noisy or the storage medium is unreliable, the shadow images will be erroneous. In this case, most of the existing SIS schemes cannot reconstruct the secret image. In an effort to cope with the issue, we propose a robust SIS (RSIS) scheme based on the Robust Chinese Remainder theorem (RCRT), namely RSIS-RCRT, which can realize the reconstruction of the secret image with high quality under a certain error in the shadow image. In addition, a simple and effective Image Correction Method (ICM) is proposed, which improves the quality of the reconstructed image significantly in RSIS-RCRT scheme. Experiments show that the RSIS-RCRT scheme and ICM are effective. © 2022 IEEE.

关键词： Errors

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423页 << < 94 95 96 97 98 99 100 101 102 103 > >>

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：