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371-380 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：

An internet-based Electronic Voting Mechanism that Utilizes Facial Recognition and Fingerprint Identification 2

An Internet-Based Electronic Voting Mechanism that Utilizes ...

引用

2nd international conference on Distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Sathvika, K. V. Sai Lakshmareddy, N. Karthika, N. Sai, K. Tarun Rajarao, M.V.L.N. Seshadri Rao Gudlavalleru Engineering College Department of Information Technology Andhra Pradesh India

ISBN: (纸本)9798350382952

Elections play a crucial part in any system of democracy, and it is imperative to guarantee that the voting process is carried out with impartiality and honesty. The destiny of our nation and the well-being of its in habitants hinge upon a solitary ballot. Authentication and integrity of the electronic voting machine is a very big challenge with the advancement in the technology. The suggested approach utilizes automated techniques to ascertain and verify the identification of a voter by analyzing their facial image and fingerprints. The ease of acquisition and excellent pairing accuracy of face and fingerprint make them well-suited for biometric data purposes. The suggested system utilizes a Haar cascade filter for face recognition and a UART sensor for fingerprint authentication. With 99% accuracy, the suggested online voting method has many benefits over conventional paper-based voting systems, such as greater security, lower costs, enhanced efficiency, and honesty. © 2024 ieee.

关键词： Online systems

来源：评论

学校读者我要写书评

暂无评论

Security of image Using Watermarking Techniques and Visual Cryptography 6

Security of Image Using Watermarking Techniques and Visual C...

引用

6th international conference on Information systems and Computer Networks, ISCON 2023

作者： Srivastava, Lahar Garg, Hitendra GLA University Department of Computer Engineering and Applications Mathura India

ISBN: (纸本)9798350346961

Due to rapid growth in technology there is a need to secure multimedia data like audio, video, text etc. available on the internet. In the proposed work, visual cryptography based watermarking techniques are proposed to secure image data. The watermark is inserted followed by visual cryptography where 'n' numbers of shares are created. DCT and IDCT are implemented to insert the watermark. The k shares out of n are required to get the original image where watermark is authenticated. PSNR is used for comparing the original image with images obtained after decryption.. © 2023 ieee.

关键词： Copyrights

来源：评论

学校读者我要写书评

暂无评论

Smart Object Detection using ESP32-CAM based on YOLO Algorithm 2

Smart Object Detection using ESP32-CAM based on YOLO Algorit...

引用

2nd international conference on Intelligent Cyber Physical systems and internet of Things (ICoICI)

作者： Narwaria, Ravindra Pratap Ahirwar, Anand Prajapati, Abhinay K. Kumar, Abhishek Tiwari, Arin K. MITS Dept Elect Engn Gwalior MP India

ISBN: (纸本)9798331540661;9798331540678

In the present research work, a system is developed that can detect objects in real-time using a combination of the ESP32 CAM module and Python programming. The goal was to show how affordable hardware and free software can be used to make a system that recognizes objects quickly and accurately. By using computer vision and machine learning tricks, the proposed system can figure out the different objects with great precision. The setup process involves putting some code onto the ESP32 CAM module, finding its IP address, and then making it work smoothly with Python. The proposed system was tested in different situations, like watching for things in surveillance, making tasks easier with automation, and helping out in assistive technologies.

关键词： ESP32-CAM Module Computer Vision Real-time Object Detection Machine Learning (ML) Surveillance systems Object Recognition Python Programming image Processing YOLO Open CV

来源：评论

学校读者我要写书评

暂无评论

Anomaly Unveiled: Securing image Classification against Adversarial Patch Attacks 31

Anomaly Unveiled: Securing Image Classification against Adve...

引用

2024 international conference on image Processing

作者： Chattopadhyay, Nandish Guesmi, Amira Shafique, Muhammad New York Univ NYU Abu Dhabi Div Engn EBrain Lab Abu Dhabi U Arab Emirates

ISBN: (纸本)9798350349405;9798350349399

Adversarial patch attacks pose a significant threat to the practical deployment of deep learning systems. However, existing research primarily focuses on image pre-processing defenses, which often result in reduced classification accuracy for clean images and fail to effectively counter physically feasible attacks. In this paper, we investigate the behavior of adversarial patches as anomalies within the distribution of image information and leverage this insight to develop a robust defense strategy. Our proposed defense mechanism utilizes a clustering-based technique called DBSCAN to isolate anomalous image segments, which is carried out by a three-stage pipeline consisting of Segmenting, Isolating, and Blocking phases to identify and mitigate adversarial noise. Upon identifying adversarial components, we neutralize them by replacing them with the mean pixel value, surpassing alternative replacement options. Our model-agnostic defense mechanism is evaluated across multiple models and datasets, demonstrating its effectiveness in countering various adversarial patch attacks in image classification tasks. Our proposed approach significantly improves accuracy, increasing from 38.8% without the defense to 67.1% with the defense against LaVAN and GoogleAp attacks, surpassing prominent state-of-theart methods such as LGS [1] (53.86%) and Jujutsu [2] (60%).

关键词： Adversarial patch adversarial defense anomaly detection defense pipeline clustering

来源：评论

学校读者我要写书评

暂无评论

Tucker Decomposition based Lossless image Compression for 3D Medical image 8

Tucker Decomposition Based Lossless Image Compression for 3D...

引用

8th ieee international conference on Computational System and Information technology for Sustainable Solutions, CSITSS 2024

作者： Makandar, Aziz Biradar, Rekha Ksa Wuv Computer Science department India

ISBN: (纸本)9798331505462

The successful operation of a telecommunication system depends on the maintaining and transferring of high compression three-dimension medical images that produce reconstructions of excellent quality after decompression. To address this issue, we presented a Tucker Decomposition based lossless image compression for three-dimension medical image. Tucker decomposition, the extended form of Singular Value Decomposition (SVD), can handle high dimensional information;SVD is limited to two dimensions. Use the Selective Bounding volume (SBV) to find and retrieve the Volume of Interest (VOI). Tucker decomposition is used to break down the extracted volume of interest (VOI) into its component major tensor, coefficient matrices, and distinct parameters. subsequently, an Adaptive Binary Range Coder (ABRC) is utilized for compress these values. By inverting the compression procedure and integrating the uncompressed VOI with the surrounding area employing the bound volume coordinates connected to the compressed three-dimensional image, the final uncompressed VOI is produced. utilizing a range of 3D medical images obtained through different forms of imaging, the proposed approach's performance was assessed using analytical evaluation metrics like the Compression Ratio (CR), Peak signal-to-Noise Ratio (PSNR), and Structural Similarity Index Measure (SSIM). The proposed compression methodology produces consistently high-quality image compressions and produces larger-scale results, as shown by the method's outcome. © 2024 ieee.

关键词： Voice/data communication systems

来源：评论

学校读者我要写书评

暂无评论

Efficient Depth and RGB Camera Fusion Algorithm for Depth Imaging with Improved Spatial Resolution 31

Efficient Depth and RGB Camera Fusion Algorithm for Depth Im...

引用

31st conference on Electronics Circuits and systems

作者： Waelti, Yannick Ludwig, Matthias Rosset, Josquin Loeliger, Teddy ZHAW Zurich Univ Appl Sci Inst Signal Proc & Wireless Commun Winterthur Switzerland

ISBN: (纸本)9798350377217;9798350377200

Cameras for capturing depth images typically suffer from low spatial resolution, whereas RGB cameras offer high resolution. A common approach to address these drawbacks of depth cameras is to combine them with RGB cameras using a fusion algorithm. We propose, implement and benchmark a new spatial upscaling algorithm based on edge extrapolation and compare it to state-of-the-art spatial upscaling methods. The edge extrapolation algorithm is very efficient and achieves cutting edge performance. It produces high-resolution depth maps with particularly clean edges, but like other state-of-the-art methods, it also exhibits certain specific artifacts. The new algorithm first interpolates the depth image and combines it with an RGB image to extract an edge map. The blurred edges of the interpolated depth map are then replaced by an extrapolation from neighboring pixels for the final high-resolution depth map. The algorithm is benchmarked using the Middlebury and DIML datasets, as well as a number of new 3D time-of-flight depth images.

关键词： Depth camera Depth imaging 3D time-of-flight (3D ToF) Sensor fusion Resolution upscaling Depth map upsampling Edge detection Edge extrapolation

来源：评论

学校读者我要写书评

暂无评论

Implementing internet Key Exchange with image-based Key Exchange through Socket Programming 9

Implementing Internet Key Exchange with Image-based Key Exch...

引用

9th ieee international conference for Convergence in technology, I2CT 2024

作者： Sreedeepika, M. Lekhya, N. Sri Likesh, K. Rajagopal, Shinu M. Amrita Vishwa Vidyapeetham Amrita School of Computing Dept. of Computer Science And Engineering Bengaluru India

ISBN: (纸本)9798350394474

The primary objective of our project is to execute the internet Key Exchange (IKE) protocol, which is commonly utilized for secure key exchange in virtual private networks (VPNs) and other secure connections. Our project is divided into two parts: a server and a client, both of which are written in Python and use socket programming. In order to receive an encrypted symmetric key, the server first creates anRivest, Shamir, Adleman (RSA) key pair, then delivers the client its public key. The symmetric key is contained into an image file and encrypted with the server's public key. A symmetric key is created on the client side, encrypted using the public key of the server, and hidden inside an image. After then, the server receives this encrypted key image. After the server gets the picture, it uses the decrypted symmetric key to decode another picture, which concludes the key exchange procedure. This creative strategy not only makes use of IKE's advantages but also investigates a novel technique for key exchange using picture hiding. © 2024 ieee.

关键词： Network security

来源：评论

学校读者我要写书评

暂无评论

Automatic Modulation Classification based on wavelet image and Convolutional Neural Network 8

Automatic Modulation Classification Based on wavelet Image a...

引用

8th international conference on Computer and Communication systems, ICCCS 2023

作者： Xiong, Bo Zhong, Yi Pu, Wei Zhang, Feng Southwest China Research Institute of Electronic Equipment Chengdu China

ISBN: (纸本)9781665456128

Automatic modulation recognition is an important fundamental technology in the field of wireless communication, and effective modulation identification of target signals is a necessary prerequisite for applications such as software radio and spectrum management. The complexity of modulation patterns and the increasing congestion of spectrum occupation bring great challenges to traditional classification methods. The authors propose an end-to-end signal modulation classification method based on wavelet image and convolutional neural network, which characterizes the intra-pulse signal based on continuous wavelet transform(CWT), and design a convolutional neural network to extract and classify the characteristics of signal wavelet time-frequency images. At the same time, a small sample dataset of 8 signal modulation types is generated, and the effectiveness of the proposed method is verified by combining data enhancement in 10 signal-to-noise ratio environments, and the classification accuracy is about 87% when the signal-to-noise ratio is 8dB. © 2023 ieee.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

RESTORATION OF EXTREMELY COMPRESSED BACKGROUND FOR VCM USING GUIDED GENERATIVE PRIORS 30

RESTORATION OF EXTREMELY COMPRESSED BACKGROUND FOR VCM USING...

引用

30th ieee international conference on image Processing (ICIP)

作者： Dao, Le Thi Hue Vien, An Gia Lee, Jooyoung Jeong, Seyoon Lee, Chul Dongguk Univ Dept Multimedia Engn Seoul South Korea Elect & Telecommun Res Inst Daejeon South Korea

ISBN: (纸本)9781728198354

We propose a learning-based image restoration algorithm for a single decoded image with a high-quality foreground and an extremely degraded background for video coding for machines (VCM). First, we develop an encoder that extracts multiscale features and learns latent vectors. Then, a background generator with style and feature fusion blocks generates guided features that contain the prior background information in the input image. Finally, the decoder restores the degraded background region by merging the image features from the encoder and prior background information from the generator. Experimental results show that the proposed algorithm achieves better performance than state-of-the-art algorithms.

关键词： image generation image restoration video coding for machines (VCM)

来源：评论

学校读者我要写书评

暂无评论

EqGAN: Reformation-based Feature Equalization Fusion for Few-shot image Generation

EqGAN: Reformation-based Feature Equalization Fusion for Few...

引用

2025 ieee international conference on Acoustics, Speech, and signal Processing, ICASSP 2025

作者： Zhou, Yingbo Yue, Zhihao Ye, Yutong Zhang, Pengyu Wei, Xian Chen, Mingsong MoE Eng. Research Center of SW/HW Co-Design Tech. and App. East China Normal University China

ISBN: (纸本)9798350368741

Due to the absence or mismatch of semantic information, existing few-shot image generation methods suffer from unsatisfactory generation quality and diversity, which have minimal benefits as data augmentation for downstream classification tasks. Reformatting the contextual and textural information of features at different scales, we propose a novel Feature Equalization Fusion Generative Adversarial Network (EqGAN) for few-shot image generation. Specifically, we first decompose the encoded features into textual and structural components to mitigate the influence of irrelevant and redundant information. based on feature correlation learning and attention mechanism, we then obtain fused features by refining different contents (i.e., textures and structures) with a more fine-grained semantic alignment. Moreover, an attention-based reconstruction loss and a consistency-based equalization loss are devised to provide better training stability and generation performance. Comprehensive experiments on three public datasets demonstrate that EqGAN not only significantly improves the FID scores (by up to 14.10%) and LPIPS scores (by up to 3.17%) of generated images, but also outperforms the state-of-the-art in terms of accuracy (by up to 3.89%) for downstream classification. © 2025 ieee.

关键词： Equalization Fusion Few-shot image Generation Generative Adversarial Network

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 << < 34 35 36 37 38 39 40 41 42 43 > >>

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：