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

6,097 篇 会议
65 篇 期刊文献
51 册 图书
2 篇 学位论文

馆藏范围

6,215 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,624 篇 工学
- 2,546 篇 计算机科学与技术...
- 1,803 篇 软件工程
- 1,418 篇 信息与通信工程
- 991 篇 电气工程
- 424 篇 控制科学与工程
- 401 篇 电子科学与技术（可...
- 371 篇 光学工程
- 349 篇 生物工程
- 289 篇 生物医学工程（可授...
- 287 篇 仪器科学与技术
- 233 篇 机械工程
- 148 篇 安全科学与工程
- 139 篇 交通运输工程
- 114 篇 化学工程与技术
- 106 篇 材料科学与工程（可...
- 102 篇 网络空间安全
- 100 篇 动力工程及工程热...
- 83 篇 建筑学
1,492 篇 理学
- 691 篇 数学
- 542 篇 物理学
- 374 篇 生物学
- 232 篇 系统科学
- 215 篇 统计学（可授理学、...
- 117 篇 化学
538 篇 管理学
- 325 篇 管理科学与工程(可...
- 256 篇 图书情报与档案管...
- 129 篇 工商管理
347 篇 医学
- 327 篇 临床医学
- 164 篇 基础医学(可授医学...
- 110 篇 药学(可授医学、理...
98 篇 法学
60 篇 农学
48 篇 经济学
40 篇 教育学
27 篇 军事学
16 篇 文学
5 篇 艺术学

主题

325 篇 feature extracti...
305 篇 internet of thin...
258 篇 real-time system...
195 篇 internet
189 篇 image segmentati...
170 篇 signal processin...
167 篇 image processing
156 篇 accuracy
146 篇 deep learning
146 篇 image edge detec...
139 篇 signal processin...
130 篇 cameras
129 篇 training
127 篇 image coding
116 篇 image color anal...
106 篇 image retrieval
106 篇 visualization
98 篇 computational mo...
97 篇 robustness
89 篇 signal to noise ...

机构

11 篇 school of comput...
9 篇 faculty of infor...
8 篇 school of cyber ...
8 篇 school of electr...
8 篇 beijing universi...
8 篇 state key labora...
7 篇 school of inform...
7 篇 school of inform...
7 篇 college of elect...
7 篇 institute of sig...
7 篇 harbin institute...
7 篇 college of infor...
7 篇 school of electr...
6 篇 university of sc...
6 篇 school of inform...
6 篇 school of electr...
6 篇 chaoyang univ te...
6 篇 university of el...
6 篇 wuhan university...
6 篇 department of in...

作者

13 篇 yoshitaka sakura...
13 篇 tsuruta setsuo
13 篇 sakurai yoshitak...
13 篇 fan zhun
12 篇 setsuo tsuruta
11 篇 li li
11 篇 wang wei
10 篇 yetongnon kokou
9 篇 dipanda albert
9 篇 zhang yan
9 篇 lee chin-feng
8 篇 zhang lei
8 篇 jing wang
8 篇 wang hao
7 篇 zhu guijie
7 篇 kinshuk
7 篇 jeon gwanggil
7 篇 ahmad tohari
7 篇 shen jau-ji
7 篇 wang xin

语言

5,994 篇 英文
201 篇 其他
35 篇 中文
1 篇 土耳其文

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

共 6215 条记录，以下是31-40 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：

Energy performance profiling of a GPU-based CPM implementation 17

Energy performance profiling of a GPU-based CPM implementati...

引用

17th international conference on signal-image technology and internet-based systems, SITIS 2023

作者： Luca, Pasquale De Galletti, Ardelio Marcellino, Livia Parthenope University of Naples Science and Techonologies Department Naples Italy

ISBN: (纸本)9798350370911

In recent years, there has been a growing interest in the development of in vitro models to predict cellular behavior within living organisms. Mathematical models, based on differential equations and associated numerical algorithms, have been employed for this purpose. In this study, we present initial forays into the design of parallel strategies aimed at accelerating an algorithm for behavior prediction, specifically based on the Cellular Potts Model. To do this, we engage the computational power of Graphic Processing Units within the CUDA environment to optimize critical low-level *** work intends to provide a comprehensive analysis of the energy performance of the proposed implementation. Tests and experiments affirm significant performance gains in terms of both processing time and substantial energy savings. © 2023 IEEE.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

MAS-EGNN: A Multi-Agent EGNN-based Spectrum Allocation Optimization Framework for V2X Communications

MAS-EGNN: A Multi-Agent EGNN-based Spectrum Allocation Optim...

引用

9th international conference on signal and image Processing (ICSIP)

作者： He, Yingxue Peng, Li Jiangnan Univ Sch Internet Things Engn Wuxi Jiangsu Peoples R China

ISBN: (纸本)9798350350920

With the development of V2X technology, efficient spectrum resource management is critical to ensure the reliability and overall system performance of vehicle-to-vehicle communications. Traditional spectrum allocation methods often do not take into account inter-vehicle interference. In this paper, we introduce an innovative approach to eliminate interference in vehicle-to-vehicle communication, the MAS-EGNN framework. Initially, an Equivariant Graph Neural Networks (EGNN) is utilized to dynamically update the graph representation through node and edge conditions to effectively capture the relationships and dependencies between vehicles. Subsequently, multi-intelligence reinforcement learning techniques allow multiple intelligences to interact simultaneously within the environment, with each independently adapting to changes in the surrounding environment to optimize overall network performance. The effectiveness of the approach in improving communication quality and system throughput is verified through the simulation of V2X communication scenarios and the implementation of corresponding optimization strategies. The experimental results show that the method significantly reduces interference and optimizes V2X spectrum allocation compared with the traditional spectrum allocation strategy.

关键词： V2X Communication Spectrum Resource Management Equivariant Graph Neural Networks Multi-Agent Reinforcement Learning

来源：评论

学校读者我要写书评

暂无评论

Finger Photo Rescaling for Interoperability of Touchless and Touch-based Fingerprint Verification 17

Finger Photo Rescaling for Interoperability of Touchless and...

引用

17th international conference on signal-image technology and internet-based systems, SITIS 2023

作者： Kunsuk, Siwakun Areekul, Vutipong Kasetsart University Faculty of Engineering Department of Electrical Engineering Bangkok10900 Thailand

ISBN: (纸本)9798350370911

Taking a finger photo image from a smartphone can replace capturing a fingerprint from a general touch-based sensor. Typically, fingerprint recognition systems require input fingerprint images with approximately 500 dots-per-inch (dpi) resolution. Capturing a finger photo with this specific resolution has to control the distance between a finger and a smartphone camera, which is not an easy task for general users. Fingerprint recognition systems require automatically rescaling a finger photo image to 500 dpi without user interaction. This work proposes two methods to rescale an input finger photo automatically. The first method directly estimates friction ridge frequencies from finger photos and slapped fingerprint images. The second method utilizes rearranged Fourier subbands to estimate both accurate frequencies. Finally, a 500 dpi rescaling ratio can be calculated from two estimated frequencies from both fingerprint types. Experiment results show that the second method can improve matching accuracy close to the brute force approach on the four-resolution subsets of the IIIDT ISPFDv2 dataset. The source codes were made publicly available. © 2023 IEEE.

关键词： Interoperability

来源：评论

学校读者我要写书评

暂无评论

Communication Synchronization and Anti-Interference technology based on Artificial Intelligence 2

Communication Synchronization and Anti-Interference Technolo...

引用

2nd IEEE international conference on Integrated Circuits and Communication systems, ICICACS 2024

作者： Li, Yongdong Product & System Rohde-Schwarz Guangdong Guangzhou China

ISBN: (纸本)9798350317558

With the development of the internet of Things and the Industrial internet, more and more devices require stable and reliable wireless connections. When traditional communication synchronization methods encounter complex electromagnetic environments with various interferences and noises, their performance will be limited and they will be difficult to adapt to and accurately process signal characteristics. Therefore, this article introduces the convolutional neural network algorithm based on artificial intelligence for optimization and improvement. This article focuses on exploring the methods of using CNN for signal feature extraction, and proposes the design and optimization of adaptive filters and anti-interference encoding and decoding techniques. Finally, through two sets of simulation experiments, the following conclusions were drawn: compared with traditional methods, the overall average improvement in synchronization accuracy index of CNN is 8.3%, while the signal error rate index is comprehensively reduced by 17.35%. This end-to-end learning and optimization strategy makes CNN signal recovery more effective in complex environments and improves the overall performance and reliability of communication systems. © 2024 IEEE.

关键词： Anti-Interference technology Artificial Intelligence Communication Synchronization Convolutional Neural Network

来源：评论

学校读者我要写书评

暂无评论

A Machine Learning-based Intelligent ID System for the internet of Things

A Machine Learning-based Intelligent ID System for the Inter...

引用

international conference on Advanced systems and Emergent Technologies (ICASET)

作者： Bacha, Sawssen Liouane, Noureeddine Univ Monastir Natl Engn Sch Monastir Lab Automat Signal & Image Proc Monastir Tunisia

ISBN: (数字)9798350384895

ISBN: (纸本)9798350384901;9798350384895

The internet of Things, or IoT, is a rapidly expanding field that has been integrated into numerous different industries. Thanks to this technology, devices may send, receive, and analyze data without the assistance of a human. IoT security and privacy concerns continue to be a significant obstacle, despite the fact that it has gained widespread acceptance in a number of important domains due to its ability to simplify human life and enhance service quality. To protect IoT networks from different attacks, an anomaly-based intrusion detection system (IDS) can be included as a security feature. In order to combat various cyberattacks in internet of Things environments, this study suggests an anomaly-based intrusion detection system (IDS). The suggested approach makes use of in order to enhance anomaly identification performance and reduce the dimension of the data characteristics..

关键词： internet of Things (IoT) Intrusion detection cybersecurity feature selection

来源：评论

学校读者我要写书评

暂无评论

ATTENTION-based SPATIAL-FREQUENCY INFORMATION NETWORK FOR UNDERWATER SINGLE image SUPER-RESOLUTION 49

ATTENTION-BASED SPATIAL-FREQUENCY INFORMATION NETWORK FOR UN...

引用

49th IEEE international conference on Acoustics, Speech, and signal Processing (ICASSP)

作者： Pramanick, Alik Megha, Dhruvil Sur, Arijit Indian Inst Technol Guwahati Dept Comp Sci & Engn Gauhati India

ISBN: (纸本)9798350344868;9798350344851

Underwater single image super-resolution (UISR) is a challenging task as these images frequently suffer from poor visibility. The best-published UISR works continue to suffer from color degradation, poor texture representation, and loss of finer (high-frequency) details. We propose a novel deep learning-based (DL) UISR model that incorporates spatial information as well as the transformed (wavelet) coefficient of degraded low-resolution (LR) underwater images by intelligent feature management. To ensure the visual quality of the super-resolved image, color channel-specific L1 loss, perceptual loss, and difference of Gaussian (DoG) loss are used in tandem with SSIM loss. We employ publicly available datasets, namely UFO-120 and USR-248, to evaluate the proposed model. The results of our experiments show that our model outperforms existing state-of-the-art methods (e.g., similar to 9.45%/similar to 1.77% in SSIM and similar to 0.91%/similar to 1.44% in PSNR on UFO-120/USR-248 x4, respectively), as demonstrated through quantitative measurements and visual quality assessments.

关键词： Underwater image super-resolution spatial domain frequency domain deep learning

来源：评论

学校读者我要写书评

暂无评论

A Semantic Communication based Wireless image Transmission for internet of Things Devices

A Semantic Communication Based Wireless Image Transmission f...

引用

international conference on Communications, signal Processing, and systems, CSPS 2023

作者： Zhu, Rangang Huang, Shengxian He, Chenguang Su, Shaojing Chen, Hao College of Electronic Engineering National University of Defense Technology Hunan China Communications Research Center Harbin Institute of Technology Harbin China College of Intelligence Science and Technology National University of Defense Technology Hunan China

ISBN: (纸本)9789819975396

In recent years, wildfires occur frequently as global warming. People set a large number of sensors to monitor the wild land. However, the poor network in remote area can hardly afford the big data transmission while low delay. In this paper, we firstly propose a semantic communication framework, which consists of the GAN-based semantic extraction and LDPC code. To make it affordable for internet of Things (IoT) devices, we then compression the pre-trained model by parameters pruning and clustering with the acceptable price of inference performance. based on our analysis, the proposed semantic communication system can significantly reduce the volume of transmission data by extracting the semantic information of images and preform robustness in fading channel. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： internet of things

来源：评论

学校读者我要写书评

暂无评论

Critical Analysis of ML-based Service Provisioning in the internet of Vehicles 4

Critical Analysis of ML-Based Service Provisioning in the In...

引用

4th international conference on Artificial Intelligence and signal Processing

作者： Joshi, Mukund Patel, Ayush Tripathy, Asis Kumar Vellore Inst Technol Sch Comp Sci Engn & Informat Syst Vellore Tamil Nadu India

ISBN: (纸本)9798350350661;9798350350654

The internet of Vehicles (IoV) has brought a new era of innovation in transportation and mobility (T&M) in smart cities, made possible by the confluence of IoT and Machine Learning (ML) technology. The capabilities and applications of the internet of Vehicles (IoV) have been greatly expanded by the increasing adoption of IoT, 5G connectivity, and autonomous vehicles. Modern machine learning (ML) approaches used in IoV service delivery are examined in this review paper, emphasizing how they might improve multimedia communication quality of experience (QoE) in vital industries like healthcare. ML-based service provisioning enhances the functionality and customer experience of the automotive sector by delivering tailored, efficient, and predictive services by analyzing data from connected automobiles.

关键词： IoV ML Service Provisioning QoE Intelligent Transportation systems

来源：评论

学校读者我要写书评

暂无评论

Uncertainty Quantification based on Gaussian Processes for image Segmentation Tasks 2

Uncertainty Quantification Based on Gaussian Processes for I...

引用

2nd international conference on Mobile internet, Cloud Computing and Information Security (MICCIS)

作者： Gao, Bing Chen, Rui Yu, Tingting Beijing Inst Control Engn Beijing Sunwise Informat Technol Ltd Beijing Peoples R China

ISBN: (纸本)9798350389913;9798350389906

Over the past several years, deep neural networks have permeated many fields of science research and have become an essential part of real-world applications. However, when the model encounters a test sample with uncertainty, compared with the distribution of the training set data, it is crucial for users to determine which of the model's predicted outputs for those test data are trustworthy and which are not, rather than being forced to give an untrustworthy prediction output. To this end, it is necessary to evaluate the model uncertainty, which enables to improve utilization of the model prediction results, especially some safety-critical systems. For image segmentation tasks of safety-critical systems, this paper proposes an uncertainty quantification method based on Gaussian processes to evaluate the trustworthiness of the output predicted by neural network models for the given input, so as to facilitate the selection and optimization of segmentation models and provide the model interpretability. The simulation results indicate that for the pixel error rate of each image, this method can give the confidence interval of the predicted output and the stability of the predicted output, achieving the objective of quantifying and understanding the confidence level of deep learning models.

关键词： deep learning uncertainty quantification trustworthiness safety-critical systems Gaussian processes image segmentation

来源：评论

学校读者我要写书评

暂无评论

Platform for the social and solidarity economy based on Islamic finance-derived crowdfunding: a blockchain infrastructure 16

Platform for the social and solidarity economy based on Isla...

引用

16th international conference on signal-image technology and internet-based systems (SITIS)

作者： Elalaoui, Elabdallaoui Hasna Elfazziki, Abdelaziz Sadgal, Mohamed Cadi Ayyad Univ Fac Sci Semlalia Comp Syst Engn Lab Marrakech Morocco

ISBN: (纸本)9781665464956

Crowdfunding is starting to compete with the traditional mode of funding and has allowed startups to raise funds without too much red tape and bureaucracy. In this work, we propose a participatory platform for the social and solidarity economy, based on blockchain technology, smart contracts and a mode of financing inspired by Islamic financing. This mode of financing is based on the prohibition of interest, uncertainty and speculation and is based mainly on the principle of active partnership: "Musharaka". Donations are also considered and managed as financial assets. It is based on the direct ownership of tangible assets and investment operations through the principle of sharing profits or losses which promotes partnership and a more equitable sharing. The introduction of blockchain in crowdfunding makes this type of funding more reliable, transparent, decentralized, profitable and convenient. The crowdfunding platform is proposed for a project that consists of equitable water distribution and irrigation compatible with ecosystems in the Haouz region of Morocco.

关键词： crowdfunding Mousharaka blockchain smart contracts social and solidarity economy

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 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：