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

20,250 篇 会议
162 篇 期刊文献
80 册 图书
1 篇 学位论文

馆藏范围

20,493 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

12,757 篇 工学
- 8,297 篇 计算机科学与技术...
- 5,001 篇 软件工程
- 4,986 篇 信息与通信工程
- 4,637 篇 电气工程
- 1,447 篇 控制科学与工程
- 1,319 篇 电子科学与技术（可...
- 1,225 篇 光学工程
- 898 篇 生物医学工程（可授...
- 868 篇 机械工程
- 830 篇 仪器科学与技术
- 811 篇 生物工程
- 326 篇 网络空间安全
- 291 篇 交通运输工程
- 284 篇 安全科学与工程
- 280 篇 化学工程与技术
- 247 篇 动力工程及工程热...
- 189 篇 建筑学
- 179 篇 土木工程
4,663 篇 理学
- 2,150 篇 数学
- 2,073 篇 物理学
- 874 篇 生物学
- 668 篇 统计学（可授理学、...
- 521 篇 系统科学
- 330 篇 化学
1,523 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...
1,368 篇 管理学
- 824 篇 管理科学与工程(可...
- 615 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

1,132 篇 image segmentati...
1,067 篇 image coding
1,060 篇 signal processin...
1,003 篇 image processing
987 篇 internet of thin...
963 篇 feature extracti...
834 篇 image reconstruc...
642 篇 internet
550 篇 signal processin...
500 篇 signal to noise ...
479 篇 deep learning
471 篇 image edge detec...
450 篇 training
423 篇 image color anal...
403 篇 robustness
401 篇 cameras
396 篇 image enhancemen...
300 篇 visualization
298 篇 image recognitio...
291 篇 image resolution

机构

58 篇 school of inform...
39 篇 university of sc...
37 篇 signal processin...
29 篇 microsoft resear...
28 篇 university of ch...
26 篇 institute of sig...
24 篇 university of el...
23 篇 school of electr...
23 篇 signal processin...
23 篇 center for signa...
22 篇 college of big d...
21 篇 ieee
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...
18 篇 peng cheng labor...
17 篇 department of el...

作者

31 篇 li zhuo
27 篇 zhuo li
25 篇 sridharan sridha
24 篇 r.m. mersereau
23 篇 yang yang
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 zhai guangtao
16 篇 wang lei
16 篇 takahiro ogawa
16 篇 ghassan alregib
16 篇 j. astola

语言

19,134 篇 英文
1,273 篇 其他
78 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 20493 条记录，以下是1001-1010 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：

Stock Market Prediction Using Machine Learning based Techniques

Stock Market Prediction Using Machine Learning Based Techniq...

引用

2024 ieee international conference on Intelligent signal Processing and Effective Communication Technologies, INSPECT 2024

作者： Dubey, Aditya Sharma, Ramnaresh Bisen, Dhananjay Venu, Nookala Jaiswal, Varshali Raghuwanshi, Bhagat Singh Shakywar, Khemchand Madhav Institute of Technology & Science Centre for Internet of Things Gwalior India Madhav Institute of Technology & Science Centre for AI Gwalior India ABV Indian Institute of Information Technology and Management Data Science and Quantum Computing Gwalior India School of Engineering Avantika University MP Ujjain India

ISBN: (纸本)9798350379525

Many methods have been used to forecast stock market trends in the big data age, including real numbers, fuzzy time series data, fuzzy sets design, and conventional time series data. The control of semantic value data is made possible by the use of fuzzy time series data in stock market prediction, which makes accurate value predictions possible. These techniques are mostly used to forecast dynamic, non-linear datasets in a variety of industries, such as stock markets and cryptocurrencies. In order to predict stock prices, artificial intelligence (AI) methods such as neural networks (NN) have become increasingly important. Many methods have been developed to validate parametric and non-parametric theories for predicting trends and gains in the stock market using the feed-forward (FF) NN technique. A variety of soft computing techniques have been investigated in order to provide ways for decision-making based on profit and loss criteria without relying on artificial intelligence. This paper's main goal is to perform a comprehensive examination of the different prediction techniques used to estimate price and return in the stock market. The study includes a comparative review of several approaches as well as a variety of stock market forecasting strategies. © 2024 ieee.

关键词： Marketplaces

来源：评论

学校读者我要写书评

暂无评论

Microbial image Data Enhancement Framework with Deep Learning Algorithm 5

Microbial Image Data Enhancement Framework with Deep Learnin...

引用

5th international conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Chen, Lin Yang, Shuhan Qujing Medical College Basic Medical College Yunnan Qujing655000 China

ISBN: (纸本)9798350379945

This study presents a comprehensive framework for enhancing microbial image data using a deep learning algorithm to improve the quality and analysis of microscopic images. The framework includes a deep learning-based image de-noising algorithm, an image anti-blurring algorithm, and an edge enhancement algorithm. The image de-noising process utilizes an iterative learning mapping function to progressively approximate actual noise distribution, resulting in clearer images with reduced noise. The image anti-blurring algorithm employs GAN-based methods to adjust and correct blur information caused by sample movements or lens jitter. The edge enhancement technique uses the Sobel operator to extract and enhance edge features, thereby improving the visual clarity and detail of microbial images. To evaluate the performance of the framework, a diverse database of 1,000,000 microbial images was constructed using the Google image search engine. The effectiveness of the approach was evaluated using three key parameters: Peak signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Model Classification Accuracy (MCA). Experimental results show significant improvements in all metrics, with the proposed methods achieving an average PSNR of 29.0 dB, an average SSIM of 0.923, and an average MCA of 85%. These results highlight the potential of the proposed framework to improve image quality and accuracy in microbial image analysis. © 2024 ieee.

关键词： Data processing Deep learning algorithm image enhancement Microbial image

来源：评论

学校读者我要写书评

暂无评论

Implementation of Digital Filter Functions in Edge Device Framework for IoT Application System 6

Implementation of Digital Filter Functions in Edge Device Fr...

引用

6th international conference on Vocational Education and Electrical Engineering, ICVEE 2023

作者： Panduman, Yohanes Yohanie Fridelin Funabiki, Nobuo Sukaridhoto, Sritrusta Okayama University Department of Information and Communication Systems Okayama Japan Politeknik Elektronika Negeri Surabaya Department of Informatic and Computer Surabaya Indonesia

ISBN: (纸本)9798350326642

Currently, we are developing an edge device framework to help the setup of the edge device remotely through an internet of Things (IoT) application server platform called SEMAR (Smart Environmental Monitoring and Analytical in Real-Time). The framework allows the connection of different sensor interfaces, standardizes data, and utilizes it through multiple output components. However, it lacks capabilities for sensor data processing at the edge device. In this paper, we implement filtering functions using digital signal processing techniques in the edge device framework. The techniques include low, high, and band-pass filters based on Butterworth and Chebyshev-I, as well as Kalman and Savitzky-Golay filters. By identifying these techniques and parameters in the edge configuration file through SEMAR, the user can utilize them without writing codes. It also provides the cascading filter to create a series of filters for data processing in sequences. For evaluations, we apply the proposed functions to the fingerprint-based indoor localization system (FILS15.4). The evaluation results confirmed the effectiveness of the implemented filtering functions in the edge device framework. © 2023 ieee.

关键词： internet of things

来源：评论

学校读者我要写书评

暂无评论

Tomographic reconstruction from sparse-view and limited-angle data using a generative adversarial network 16

Tomographic reconstruction from sparse-view and limited-angl...

引用

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

作者： Ayad, Ishak Tarpau, Cecilia Cebeiro, Javier Nguyen, Mai K. CY Cergy Paris Univ ETIS UMR 8051 Cergy Pontoise France CY Cergy Paris Univ CNRS ENSEA AGM UMR 8088 Cergy Pontoise France Heriot Watt Univ Maxwell Inst Math Sci Sch Math & Comp Sci Edinburgh Scotland Univ Nacl San Martin Ctr Matemcit Aplicada Inst Tecnol Ciencias Aplicadas ITECA UNSAM CONICETEscuela Ciencia & Tecnol Buenos Aires Argentina CY Cergy Paris Univ ENSEA CNRS ETIS UMR 8051 Cergy Pontoise France

ISBN: (纸本)9781665464956

Limited-angle and sparse-view computed tomography have been widely used to shorten the acquisition time in medical imaging and to offer the possibility of scanning large objects. However, this is a severely ill-posed inverse problem due to missing data. In these scenarios, the well-known filtered back-projection reconstruction technique exhibits severe artifacts and degradation. Recently, deep learning methods have demonstrated impressive performance in computer vision (denoising, classification, etc.) but it frequently fails to solve both limited-angle and sparse-view reconstruction. Inspired by the high performance of GAN-based image-to-image translation methods, we investigate a patchGAN as a solution to the reconstruction problem mapping data (Radon space) into the image domain. The generator is made of a V-net where the reconstruction in the sense of a least-squares minimization is carried out at different scales in the encoder path and linked with the decoder path by skip connections. The discriminator uses both information from the image and projection data domains. The proposed method gives promising reconstruction results from data acquired with a limited angular range covering only 110 degrees (instead of 180 degrees), as well as for sparse-view data with 10 degrees of sampling step. Moreover, different reconstruction results show that the method is able to reconstruct images from sparse and limited angular range data at the same time.

关键词： computed tomography (CT) generative adversarial networks (GAN) image reconstruction inverse problem hybrid representations

来源：评论

学校读者我要写书评

暂无评论

Human Posture Recognition System based on Dynamic Time Warping Algorithm 4

Human Posture Recognition System Based on Dynamic Time Warpi...

引用

4th international conference on Electronic Information Engineering and Computer Science, EIECS 2024

作者： Shi, Chenyu Bai, Yu Wang, Yang Lin, Yafei School of Electronic and Information Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)9798331531409

In response to the limitations of vision-based human posture recognition in low-light or occluded environments, this article innovatively proposes a flexible pressure sensor array system to monitor the pressure distribution of synovial joints in real time and accurately capture postures. Through a weighted acquisition strategy, the accuracy and computational efficiency are optimized, and the dynamic time warping algorithm is improved to adapt to sensor data. Experiments have confirmed that under various wearing and assignment strategies, the average accuracy rate of the system exceeds 75%. Wearing on the inside is better than on the outside. It does not rely on image information and shows broad application potential. © 2024 ieee.

关键词： signal reconstruction

来源：评论

学校读者我要写书评

暂无评论

On-Line Detection System of Rain and Sewage in Sponge City based on internet of Things and BP Neural Network Model 3

On-Line Detection System of Rain and Sewage in Sponge City B...

引用

3rd international signal Processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Jing, Zhiyuan Jilin University Changchun China

ISBN: (纸本)9798350307023

The rain pollution detection system of sponge city based on internet of Things is designed, which can be used for on-line remote detection of sponge city rain and sewage, and realize the over-limit alarm. A set of BP neural network is used, which can be used to forecast the rain pollution in sponge city, and analyze the matching between the water supply and water demand, including the matching of time, space, water quantity and water quality, it is helpful to identify the necessity and demand of urban rainwater resources control and utilization from both qualitative and quantitative aspects. Through the combination of internet of things, cloud computing, big data and other information technology means, make the previously difficult to monitor the variables become easier to promote the construction of intelligent sponge city. © 2023 ieee.

关键词： internet of things

来源：评论

学校读者我要写书评

暂无评论

Triplets-based Steganographic Scheme to Improve the image Quality in Spatial Domain 3

Triplets-Based Steganographic Scheme to Improve the Image Qu...

引用

3rd ieee international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Meftah Mafazy, Muhammad Terri Agustinus, Jeems Ikhwanul Haq, Thoha Jean De La Croix, Ntivuguruzwa Ahmad, Tohari Institut Teknologi Sepuluh Nopember Department of Informatics Surabaya Indonesia African Centre of Excellence in Internet of Things University of Rwanda Kigali Rwanda

ISBN: (纸本)9798350317022

Advances in information and communications technology have changed the way various sectors, from finance to the military, operate. However, this evolution has also increased cybersecurity threats, posing potential risks to user privacy and security. In response to these challenges, data masking methods have emerged as noteworthy solutions. These methods involve hiding information within other data, such as audio and video files, to add an extra layer of security. Retaining the quality of the stego image proves to be a primary challenge in steganography. In addressing the limitations of previous digital image steganography techniques, this research introduces a new algorithm centered on triplets. Our experiments using images from the SIPI dataset, our results showcase a notable improvement in performance, with signal-to-noise ratio (PSNR) results that vary from 43.080 dB to 65.564 dB. These experimental outcomes underscore a substantial enhancement compared to existing methods, affirming the efficacy of the proposed algorithm in bolstering cybersecurity defenses. © 2023 ieee.

关键词： data hiding National Security network infrastructure spatial domain steganography

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of a Low-Power VCO-based ADC for IoT Applications 9

Design and Implementation of a Low-Power VCO-based ADC for I...

引用

9th international conference on Integrated Circuits, Design, and Verification, ICDV 2024

作者： Nguyen, Dinh-Toi Tran, Duc-Manh Bui, Duy-Hieu Tran, Xuan-Tu VNU Information Technology Institute Vietnam National University Hanoi. 144 Xuan Thuy street Cau Giay Hanoi Viet Nam

ISBN: (纸本)9798350371864

The paper presents the design of an Analog-to-Digital Converter (ADC) using Voltage Controlled Oscillator (VCO)based ADC techniques, calibrated for internet of Things (IoT) applications with a power supply of only 1.3 V targeting Bluetooth Low Energy (BLE). The flexible integration between analog and digital elements of the VCO-based ADC technology minimizes design time and energy consumption. The paper also focuses on maximizing the performance of VCO through the use of low-pass filtering, analog calibration to lower variability, oversampling to increase signal-to-noise ratio (SNR), and the removal of unneeded samples to improve VCO's output resolution. The free and open-source SkyWater 130nm PDKs and tools were employed for both design and simulation. The simulation results show that the proposed ADC achieves 8 -bit effective number of bits (ENOB), with a 50 dB SNR and a just 0.042 mW power consumption. © 2024 ieee.

关键词： signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

A Study on Sonar image Recognition based on Realistic Semi-Supervised Learning

A Study on Sonar Image Recognition based on Realistic Semi-S...

引用

2023 ieee international conference on signal Processing, Communications and Computing, ICSPCC 2023

作者： Lv, Sichen Liang, Hong School of Marine Science and Technology Northwestern Polytechnical University Xi'an710072 China

ISBN: (纸本)9798350316728

The majority of existing work on sonar image recognition focuses on closed set, where system tends to make incorrect classifications when encountering unknown underwater targets. Therefore, the problem of sonar image recognition in open world scenario needs to be addressed. In this paper, we apply open world recognition algorithm architecture based on self-supervised learning to sonar image. After improving the feature extraction network to accommodate the characteristics of sonar image, we use three datasets of sonar image to validate the approach. By performing augmentation operations on the three datasets, the recognition network generates class distribution-aware pseudo-labels for the unlabeled data in the sonar datasets. These pseudo-labels are then used to supervise the learning process. Ultimately, the accuracy of all three sonar datasets exceeded 84%, surpassing the accuracy achieved on most fine-grained datasets. The result validates that our improved open world recognition algorithm based on semi-supervised learning for sonar image is effective. © 2023 ieee.

关键词： image recognition

来源：评论

学校读者我要写书评

暂无评论

Research on Distribution Network Fault Distance Measurment Sample Generation Method based on Phase-Mode Transformation 3

Research on Distribution Network Fault Distance Measurment S...

引用

3rd international conference on Energy, Power and Electrical technology, ICEPET 2024

作者： Wang, Qiwei Cao, Hongbo Cao, Ruikang Li, Yansong North China Electric Power University Department of Electrical and Electronic Engineering Beijing China

ISBN: (纸本)9798350352658

At present, phase mode transformation is often used in distribution network fault distance measurement to process transient travelling wave data. We analyze the deficiencies of the existing phase mode transformation matrix and calculate the basic conditions of the transformation matrix for the complete decoupling of the three phases. Second, based on the nature of uniformly transposed transmission lines, a new phase mode transform matrix is proposed, which can reflect various fault types by a single modulus and is applicable in both transient and steady states. Third, the proposed new phase mode transform matrix is combined with an image coding method for locating faults on transmission lines by using the Gram angle field (GAF) method of signal-image conversion to convert one-dimensional signals into two-dimensional images, and the images are fused with weighted averaging. The generated samples are used as inputs to the convolutional neural network(CNN) model of fault distance measurement. Simulation results show that the method is independent of load current, transition resistance and fault type. © 2024 ieee.

关键词： image coding

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 << < 97 98 99 100 101 102 103 104 105 106 > >>

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：