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

20,237 篇 会议
164 篇 期刊文献
80 册 图书
3 篇 学位论文

馆藏范围

20,484 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

12,752 篇 工学
- 8,302 篇 计算机科学与技术...
- 5,003 篇 软件工程
- 4,984 篇 信息与通信工程
- 4,641 篇 电气工程
- 1,450 篇 控制科学与工程
- 1,324 篇 电子科学与技术（可...
- 1,222 篇 光学工程
- 899 篇 生物医学工程（可授...
- 868 篇 机械工程
- 834 篇 仪器科学与技术
- 811 篇 生物工程
- 329 篇 网络空间安全
- 296 篇 交通运输工程
- 289 篇 安全科学与工程
- 278 篇 化学工程与技术
- 250 篇 动力工程及工程热...
- 188 篇 建筑学
- 179 篇 土木工程
4,663 篇 理学
- 2,148 篇 数学
- 2,067 篇 物理学
- 874 篇 生物学
- 668 篇 统计学（可授理学、...
- 522 篇 系统科学
- 334 篇 化学
1,522 篇 医学
- 1,405 篇 临床医学
- 383 篇 基础医学(可授医学...
- 269 篇 药学(可授医学、理...
1,376 篇 管理学
- 830 篇 管理科学与工程(可...
- 617 篇 图书情报与档案管...
- 208 篇 工商管理
204 篇 法学
136 篇 农学
78 篇 经济学
69 篇 军事学
64 篇 教育学
40 篇 文学
24 篇 艺术学
1 篇 哲学
1 篇 历史学

主题

1,120 篇 image segmentati...
1,061 篇 image coding
1,058 篇 signal processin...
1,009 篇 image processing
988 篇 internet of thin...
953 篇 feature extracti...
828 篇 image reconstruc...
631 篇 internet
553 篇 signal processin...
495 篇 signal to noise ...
478 篇 deep learning
476 篇 image edge detec...
456 篇 training
423 篇 image color anal...
400 篇 cameras
397 篇 robustness
395 篇 image enhancemen...
306 篇 image resolution
292 篇 image recognitio...
289 篇 visualization

机构

58 篇 school of inform...
39 篇 university of sc...
37 篇 signal processin...
29 篇 microsoft resear...
27 篇 university of ch...
26 篇 institute of sig...
26 篇 signal processin...
25 篇 center for signa...
24 篇 university of el...
23 篇 school of electr...
21 篇 ieee
21 篇 college of big d...
20 篇 school of cyber ...
20 篇 department of si...
20 篇 school of inform...
20 篇 signal and infor...
20 篇 school of electr...
19 篇 hsch darmstadt d...
19 篇 peng cheng labor...
19 篇 harbin institute...

作者

31 篇 li zhuo
27 篇 zhuo li
25 篇 sridharan sridha
23 篇 yang yang
23 篇 r.m. mersereau
20 篇 jing zhang
20 篇 wei li
20 篇 gabbouj moncef
19 篇 mansouri majdi
18 篇 zhang lei
18 篇 busch christoph
18 篇 m. gabbouj
17 篇 m.j.t. smith
17 篇 bouzrara kais
17 篇 clinton fookes
17 篇 wang wei
17 篇 zhang yan
16 篇 wang lei
16 篇 takahiro ogawa
16 篇 ghassan alregib

语言

19,942 篇 英文
456 篇 其他
75 篇 中文
7 篇 俄文
6 篇 土耳其文
1 篇 西班牙文

检索条件"任意字段=IEEE International Conference on Signal Image Technology and Internet Based Systems"

共 20484 条记录，以下是451-460 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：

MUSIC Spectrum based Interference Detection and Localization for mmWave RIS-MIMO System 25

MUSIC Spectrum Based Interference Detection and Localization...

引用

25th international conference on Advanced Communication technology (ICACT) - New Cyber Security Risks for Enterprise Amidst COVID-19 Pandemic

作者： Hou, Yafei Yano, Kazuto Suga, Narisato Denno, Satoshi Sakano, Toshikazu ATR Int Wave Engn Lab Kyoto Japan Okayama Univ Grad Sch Nat Sci & Technol Okayama Japan Shibaura Inst Technol Dept Informat & Commun Engn Tokyo Japan

ISBN: (纸本)9791188428106

For millimeter wave (mmWave) MIMO system, the capacity can be largely improved using beamforming technology if the system can detect the interference signal and its location. This paper proposes a MUltiple signal Classification (MUSIC) spectrum based method to detect an interference occurrence and find the location of the interference source for mmWave reconfigurable intelligent surface (RIS)-MIMO system. The MUSIC method can estimate the arrival of angles (AoAs) from the available auto-correlation of the received signal by searching for peaks in the MUSIC spectrum. Therefore, MUSIC spectrum can be treated as the 'signature' of the transmit signals from different locations. This paper utilizes this property to detect the interference occurrence and find the interference location for RIS-MIMO system in a low-complexity way.

关键词： Multiple signal classification

来源：评论

学校读者我要写书评

暂无评论

Region of Interest Scalable image Compression Using Semantic Communications

Region of Interest Scalable Image Compression Using Semantic...

引用

2024 ieee international conference on Consumer Electronics, ICCE 2024

作者： Samarathunga, Prabhath Gowrisetty, Vishnu Fernando, Thanuj Ganearachchi, Yasith Fernando, Anil University of Strathclyde Department of Computer and Information Sciences Glasgow United Kingdom

ISBN: (纸本)9798350324136

Growing consumer demand for media content across a wide range of devices has made scalable image compression vital in the current media landscape. image compression is conventionally achieved by means of statistical signal processing, but since recently deep learning techniques have been widely adopted as well. Capabilities of such systems also enable accurate identification of regions of interest in images, leading to optimized performance in most applications. This paper proposes a region-of-interest scalable image compression system using semantic communications, where an autoencoder-based semantic encoder performs the base-level compression, while a Semantic Mask Extracting Transformer (SeMExT) enables identification of regions of interest to create enhancement layers with different quality levels using a scalable JPEG encoder. When benchmarked against scalable JPEG across a variety of images, the proposed system demonstrates significantly improved compressive performance. The base layer achieved 61.4 times more compression on average, along with better rate-distortion performance at any given quality level. © 2024 ieee.

关键词： Deep Neural Networks image Compression Region of Interest Scalable image Compression Semantic Communications

来源：评论

学校读者我要写书评

暂无评论

Optimization Design of RSU for internet of Vehicles based on Decomposition Multi-Objective Evolutionary Algorithm 10

Optimization Design of RSU for Internet of Vehicles Based on...

引用

10th international conference on systems and Informatics, ICSAI 2024

作者： Sun, Nannan Chen, Qidong School of IoT Wuxi University Faculty of Computer Science Wuxi China

ISBN: (纸本)9798331510138

With the development of economy and society, the layout of China's internet of Vehicles industry has been continuously improved. RSUs play an important role in the internet of Vehicles. But it faces problems such as high cost, low coverage, low signal quality, and high energy efficiency. The RSU coverage problem in the internet of Vehicles is a multi-objective optimization problem. An improved decomposition-based MOEA (MOEA/D), called MOEA/D-ODE, is proposed, which employs the OBL method to produce an opposite population and a new differential evolution (DE) operator during the evolving process. The OBL method could enhance the probability of obtaining a better candidate population, and the DE operator helps the population to move closer to the Pareto optimal solutions, so that the convergence of the algorithm to the Pareto front could be accelerated effectively. So we propose this algorithm to solve the multi-objective optimization problem of vehicle networking RSU. © 2024 ieee.

关键词： Optimization algorithms

来源：评论

学校读者我要写书评

暂无评论

LMPDNET: TOF-PET LIST-MODE image RECONSTRUCTION USING MODEL-based DEEP LEARNING METHOD 30

LMPDNET: TOF-PET LIST-MODE IMAGE RECONSTRUCTION USING MODEL-...

引用

30th ieee international conference on image Processing (ICIP)

作者： Li, Chenxu Fang, Jingwan Hu, Rui Cui, Jianan Liu, Huafeng Zhejiang Univ State Key Lab Modern Opt Instrumentat Hangzhou 310027 Peoples R China

ISBN: (纸本)9781728198354

The integration of Time-of-Flight (TOF) information in the reconstruction process of Positron Emission Tomography (PET) improves image qualities. However, implementing the cutting-edge model-based deep learning methods for TOF-PET reconstruction is challenging due to the substantial memory requirements. In this study, we presented a novel model-based deep learning approach, LMPDNet, for TOF-PET reconstruction from list-mode data. We addressed the issue of real-time parallel computation of the projection matrix for list-mode data, and proposed an iterative model-based module that utilized a dedicated network model for list-mode data. Our experimental results indicated that the proposed LMPDNet outperformed traditional iteration-based TOF-PET list-mode reconstruction algorithms. Additionally, we compared the spatial and temporal consumption of list-mode data and sinogram data in model-based deep learning methods, demonstrating the superiority of list-mode data in model-based TOF-PET reconstruction.

关键词： TOF-PET reconstruction list-mode model-based deep learning

来源：评论

学校读者我要写书评

暂无评论

Improving Digital Connectivity using Real-Time signal Mapping and Adaptive Network Planning for IoT and 5G Networks 3

Improving Digital Connectivity using Real-Time Signal Mappin...

引用

3rd international conference on Intelligent Data Communication Technologies and internet of Things, IDCIoT 2025

作者： Bolla, Dileep Reddy Apoorva Poojary, Aashritha Suresh Naidu, Ramesh Nitte Meenakshi Institute of technology Karnataka Bangalore India

ISBN: (纸本)9798331527549

The goal of this project is to increase digital connection in expansive settings, such college campuses, by utilizing 5G IoT Repeaters for adaptive network planning and real-time signal mapping. Weak signal areas in a grid-based model are identified using a MATLAB-based simulation framework, and additional IoT devices (5G Repeaters) are positioned strategically to improve network coverage. signal strength and coverage indicators are enhanced through an iterative process, and the results are displayed with bar plots and heatmaps to provide actionable insights. The results show notable gains in signal quality, latency reduction, and network dependability, underscoring the potential of 5G IoT Repeaters for high-performance, scalable connection. This method supports applications in education, IoT-driven campus management, and smart city efforts by providing an economical and effective way to fix coverage gaps in dynamic contexts. The Research work is effective in identifying Realtime Heatmap of signal Strength which shows the distribution of weak and strong signal zones and the IoT device and 5G Devices. © 2025 ieee.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Microscopic Hematological image Classification with Captions Using Few-Shot Learning in Data-Scarce Environments

Microscopic Hematological Image Classification with Captions...

引用

2024 ieee international conference on internet of Things and Intelligence systems, IoTaIS 2024

作者： Patel, Tanviben El-Sayed, Hoda Sarker, Md Kamruzzaman Bowie State University BowieMD United States

ISBN: (纸本)9798331521219

Recent advancements in vision-language models (VLMs) have opened new possibilities for few-shot learning in medical image analysis. This study explores the application of VLMs for microscopic blood cell image classification using descriptive captions. We investigate the performance of open-source models like CLIP, PLIP, and BiomedCLIP on this task, focusing on prompt engineering techniques and their impact on classification accuracy. Our experiments show that BiomedCLIP consistently outperforms other models in few-shot learning scenarios, delivering superior results using only 10% of the training data, compared to traditional CNN-based approaches that require 70% to 80% of the training data to achieve similar performance. While BiomedCLIP showed lower accuracy in zero-shot learning, it demonstrated substantial improvements in few-shot settings. By leveraging contextual prompts, our approach effectively classifies both normal and malignant blood cells across various categories. These findings suggest that few-shot learning with VLMs can mitigate data scarcity issues in hematological image analysis, providing a promising methodology for early diagnosis and treatment of hematological disorders. ©2024 ieee.

关键词： Zero-shot learning

来源：评论

学校读者我要写书评

暂无评论

Research on image recognition and intelligent management of accounting bills based on information technology 3

Research on image recognition and intelligent management of ...

引用

3rd international conference on Artificial Intelligence, internet of Things and Cloud Computing technology, AIoTC 2024

作者： Chen, Shu Accounting College Zhanjiang University of Science and Technology China Zhanjiang Zhanjiang University of Science and Technology Yuexi Shuzhi Accounting Development Research Center Guangdong524000 China

ISBN: (纸本)9798331530280

With the rapid development of information technology, the processing methods of accounting bills are also improving. Traditional accounting bill processing methods are cumbersome and error-prone, while modern information processing technology, especially image recognition and intelligent management technology, provides a new solution for accounting bill processing. This paper aims to explore how to use modern information processing technology, such as image recognition technology, IPT algorithm, big data analysis, etc., to realize automatic recognition and intelligent management of accounting bills, so as to improve accounting efficiency, reduce error rate, and enhance transparency and security of financial management. Through experiments and case analysis, this paper proves the effectiveness and practicability of the accounting bill image recognition technology. This paper holds that the image recognition and intelligent management of accounting bills based on modern information processing technology can significantly improve the efficiency of accounting work, reduce the error rate and enhance the transparency and security of financial management. In the future, with the continuous progress of technology, the processing of accounting bills will be more intelligent and automated. © 2024 ieee.

关键词： Accounting bills image recognition Information processing technology Intelligent management Research

来源：评论

学校读者我要写书评

暂无评论

VQGAN Text-to-image Generation Enhancement using CLIP

VQGAN Text-to-Image Generation Enhancement using CLIP

引用

2024 international conference on Communication, Computing and internet of Things, IC3IoT 2024

作者： Prathaban, Banu Priya Subash, R. Ashwini, A. Shahila, D. Ferlin Deva Prasanna, R. Srm Institute Of Science And Technology Networking And Communications School Of Computing Kattankulathur India Srm Institute Of Science And Technology Computing Technologies School Of Computing SRM Nagar Kattankulathur India Vel Tech Rangarajan Dr. Sagunthala R&d Institute Of Science And Technology Department Of Ece Chennai India Srm Institute Of Science And Technology Department Of Electronics And Communication Engineering Ramapuram Campus Chennai India

ISBN: (纸本)9798350352689

Text-to-image synthesis is a computer vision task that involves understanding and converting textual descriptions into corresponding and relevant images. Recently, Generative Adversarial Networks (GANs) and Contrastive Language-image Pre-training (CLIP) have been employed to accomplish this objective. VQGAN comprises of a generator and a discriminator network that work together in a competitive manner to create realistic images based on input descriptions. In contrast, CLIP is a transformer-based language model that has been pre-trained using a diverse set of text and image data. Integrating the capabilities of both VQGAN and CLIP can lead to notable enhancements in text-to-image generation compared to using either technique individually. This abstract offers a concise overview of the latest progress in this area and emphasizes the potential advantages of leveraging a combination of GANs and CLIP for text-to-image synthesis. © 2024 ieee.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Lightweight real-time detection model for multi-sheep abnormal behaviour based on yolov7-tiny

Lightweight real-time detection model for multi-sheep abnorm...

引用

ieee/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Zhang, Haotian Ma, Yuan Wang, Xiaobo Mao, Rui Wang, Meili Northwest A&F Univ Coll Informat Engn Yangling 712100 Shaanxi Peoples R China Minist Agr Key Lab Agr Internet Things Yangling 712100 Shaanxi Peoples R China Shaanxi Key Lab Agr Informat Percept & Intelligen Yangling 712100 Shaanxi Peoples R China

ISBN: (纸本)9781665491907

animal. Animal behaviour recognition is a vital part of automated farming systems. Although image-based deep learning algorithms can accurately identify animal behaviour, the lack of data on animal abnormal behaviour makes the practical deployment of models of limited significance. At the same time, the ageing of farm monitoring equipment is also a key factor hindering automated farming. This paper constructs a sheep abnormal behaviour dataset ABSB to address these issues and proposes a lightweight real-time multi-sheep abnormal behaviour detection model YOLOv7-Lrab based on the YOLOv7-tiny network. The abnormal behaviour dataset includes four normal behaviours: standing, lying, eating and drinking, and three abnormal behaviours: lameness, attack and death. In the proposed YOLOv7-Lrab model, the small target detection layer, Coordinate attention module, SPD-Conv and Mobileone module are added compared to YOLOv7-tiny. The experimental results show that with a 7:3 ratio of training data to test data, 96.5% recognition accuracy and 95.5% recall can be achieved, and the model size is only 4.5MB with fps of 156. The model is compressed to a minimum without loss of accuracy, providing a new idea for deploying deep learning model in practical application scenarios.

关键词： Animals

来源：评论

学校读者我要写书评

暂无评论

Protecting Multiple Types of Privacy Simultaneously in EEG-based Brain-Computer Interfaces

Protecting Multiple Types of Privacy Simultaneously in EEG-B...

引用

2024 ieee international conference on systems, Man, and Cybernetics, SMC 2024

作者： Meng, Lubin Jiang, Xue Jia, Tianwang Wu, Dongrui School of Artificial Intelligence and Automation Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Wuhan China

ISBN: (纸本)9781665410205

A brain-computer interface (BCI) enables direct communication between the brain and an external device. Electroencephalogram (EEG) is the preferred input signal in non-invasive BCIs, due to its convenience and low cost. EEG-based BCIs have been successfully used in many applications, such as neurological rehabilitation, text input, games, and so on. However, EEG signals inherently carry rich personal information, necessitating privacy protection. This paper demonstrates that multiple types of private information (user identity, gender, and BCI-experience) can be easily inferred from EEG data, imposing a serious privacy threat to BCIs, To address this issue, we design perturbations to convert the original EEG data into privacy-protected EEG data, which conceal the private information while maintaining the primary BCI task performance. Experimental results demonstrated that the privacy-protected EEG data can significantly reduce the classification accuracy of user identity, gender and BCI-experience, but almost do not affect at all the classification accuracy of the primary BCI task, enabling user privacy protection in EEG-based BCIs. © 2024 ieee.

关键词： Differential privacy

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 << < 42 43 44 45 46 47 48 49 50 51 > >>

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：