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

20,200 篇 会议
163 篇 期刊文献
80 册 图书
3 篇 学位论文

馆藏范围

20,446 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

12,718 篇 工学
- 8,282 篇 计算机科学与技术...
- 4,996 篇 软件工程
- 4,960 篇 信息与通信工程
- 4,631 篇 电气工程
- 1,443 篇 控制科学与工程
- 1,317 篇 电子科学与技术（可...
- 1,214 篇 光学工程
- 897 篇 生物医学工程（可授...
- 867 篇 机械工程
- 824 篇 仪器科学与技术
- 811 篇 生物工程
- 318 篇 网络空间安全
- 287 篇 交通运输工程
- 280 篇 安全科学与工程
- 277 篇 化学工程与技术
- 244 篇 动力工程及工程热...
- 187 篇 建筑学
- 178 篇 土木工程
4,646 篇 理学
- 2,146 篇 数学
- 2,061 篇 物理学
- 874 篇 生物学
- 667 篇 统计学（可授理学、...
- 522 篇 系统科学
- 324 篇 化学
1,519 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...
1,361 篇 管理学
- 820 篇 管理科学与工程(可...
- 612 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
63 篇 教育学
40 篇 文学
24 篇 艺术学
1 篇 哲学
1 篇 历史学

主题

1,117 篇 image segmentati...
1,059 篇 signal processin...
1,059 篇 image coding
1,007 篇 image processing
987 篇 internet of thin...
952 篇 feature extracti...
826 篇 image reconstruc...
631 篇 internet
553 篇 signal processin...
495 篇 signal to noise ...
476 篇 image edge detec...
474 篇 deep learning
456 篇 training
423 篇 image color anal...
400 篇 cameras
397 篇 robustness
391 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 zhang yan
16 篇 wang lei
16 篇 takahiro ogawa
16 篇 ghassan alregib
15 篇 mellouk abdelham...

语言

20,127 篇 英文
233 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 20446 条记录，以下是191-200 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：

internet of Things Anomaly Detection Enhancement using GAN-based Data Augmentation 17

Internet of Things Anomaly Detection Enhancement using GAN-b...

引用

17th international conference on signal Processing and Communication systems, ICSPCS 2024

作者： Wong, Christopher Wang, Min Hossain, Md Farhad Munasinghe, Kumudu University of Canberra Faculty of Science and Technology ACT2617 Australia

ISBN: (纸本)9798350389630

Anomaly detection in internet of Things (IoT) systems is essential for preventing failures, security breaches, and inaccurate predictions. Deep learning-based approaches are effective for this purpose but often suffer from insufficient labeled training data, which limits detection accuracy. To address this challenge, we propose a novel anomaly detection framework that embeds synthetic data generation with the anomaly detection process. The framework integrates a Generative Adversarial Network (GAN)-based module that learns underlying patterns in normal and/or abnormal data to generate synthetic samples, effectively augmenting the training set. This enriched dataset allows the anomaly detection module to better capture data variability and improve accuracy. For anomaly detection, raw data is first converted into spectrogram images to enhance feature representation, which are then encoded by a pre-trained Convolutional Neural Network (CNN) for effective feature extraction. These features are passed to one of two detection models: a deep Autoencoder, which learns representations of normal data in an unsupervised manner and identifies anomalies by reconstruction error, or a CNN classifier, which uses supervised learning to classify normal and abnormal data. Experimental results show that GAN-based data augmentation significantly boosts detection performance in both the supervised and unsupervised learning cases, making this approach highly effective for reliable anomaly detection in IoT systems. © 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

A wheelchair differential control method based on the coupling of control signal and environmental information 21

A wheelchair differential control method based on the coupli...

引用

21st ieee international conference on Mechatronics and Automation (ieee ICMA)

作者： Qi, Kaicheng Li, Chao Yin, Zhiyang Zhang, Jianjun Guo, Shijie Shan, Xinying Hebei Univ Technol Dept Mech Engn 5340 Xiping Rd Tianjin 300401 Peoples R China Natl Rehabil AIDS Res Ctr Dept Rehabil Engn 1 Ronghua Middle Rd Beijing 100176 Peoples R China

ISBN: (纸本)9798350388084;9798350388077

We propose a wheelchair differential speed control method based on the coupling of control signals and environmental information, which firstly determines the motion state of the wheelchair based on the displacement offset, so as to generate the corresponding control signals;then ultrasound, vision and IMU sensors are used to collect distance, image and angle information respectively, and the environmental information is fused based on fuzzy control to get the integrated environmental factor;Finally, the control signals and Integrated environmental factor are coupled to calculate the expected speeds of the left and right wheels under different motion states. The method fully reflects the environmental information and realizes the full coupling between the control signal and the environmental information, establishes the differential speed model of the wheelchair considering the environmental information, ensures the safety and reliability of the wheelchair during operation, and realizes the intelligent control of the wheelchair.

关键词： Control signal Information fusion Fuzzy control Integrated environmental factor Differential model

来源：评论

学校读者我要写书评

暂无评论

SEMANTIC SECURITY: A DIGITAL WATERMARK METHOD FOR image SEMANTIC PRESERVATION 49

SEMANTIC SECURITY: A DIGITAL WATERMARK METHOD FOR IMAGE SEMA...

引用

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

作者： Zuo, Tianwei Duan, Yiping Du, Qiyuan Tao, Xiaoming Tsinghua Univ Dept Elect Engn Beijing Peoples R China Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing Peoples R China

ISBN: (纸本)9798350344868;9798350344851

Digital watermarking has long been used to protect digital images from abuse. However, applying digital watermarking to semantic communication remains a challenge. This work introduces a secure coding method that combines semantic coding and digital watermarking techniques. The proposed method selects points in the target image with high semantic importance and embeds watermark information into their position vectors, perpendicular to the embedding domains of previous works. The experiments conducted on the Cityscapes dataset demonstrate that our method integrates well with semantic communication systems. Compared to the previous approach, our proposed method can more completely preserve the structural features of the target image and is better suited for Machine Type Communication (MTC) tasks, such as target detection and semantic segmentation.

关键词： Digital watermarking data security semantic communication sketches information hiding

来源：评论

学校读者我要写书评

暂无评论

An Evaluation Method based on image Texture and KL Divergence for SAR image Quantization 2

An Evaluation Method Based on Image Texture and KL Divergenc...

引用

2nd ieee international conference on signal, Information and Data Processing, ICSIDP 2024

作者： Zhou, Yiheng Sun, Bing Beihang University School of Electronic and Information Engineering Beijing China

ISBN: (纸本)9798331515669

Raw images obtained from Synthetic Aperture Radar (SAR) imaging processing typically exhibit a broad dynamic range (14-16 bits). Subsequent processing requires these images to be compressed and quantized into 8-bit grayscale images, which can result in the loss of detailed information. Consequently, when selecting quantization algorithms, it is essential to employ quantitative evaluation criteria to assess their performance. However, traditional evaluation methods designed for optical images are not suitable for SAR images due to their inherent characteristics, such as poor texture information and a concentrated grayscale *** this paper, we propose a method that leverages the local texture information of an "ideal image"to construct the "distance"between the quantized image and the "ideal image,"based on the Kullback-Leibler (KL) divergence. We also present experimental results demonstrating the numerical values obtained through this quantitative measurement algorithm. © 2024 ieee.

关键词： image texture

来源：评论

学校读者我要写书评

暂无评论

PANORAMIC image INPAINTING WITH GATED CONVOLUTION AND CONTEXTUAL RECONSTRUCTION LOSS 49

PANORAMIC IMAGE INPAINTING WITH GATED CONVOLUTION AND CONTEX...

引用

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

作者： Yu, Li Gao, Yanjun Pakdaman, Farhad Gabbouj, Moncef Nanjing Univ Informat Sci & Technol Nanjing Peoples R China Tampere Univ Tampere Finland

ISBN: (纸本)9798350344868;9798350344851

Deep learning-based methods have demonstrated encouraging results in tackling the task of panoramic image inpainting. However, it is challenging for existing methods to distinguish valid pixels from invalid pixels and find suitable references for corrupted areas, thus leading to artifacts in the inpainted results. In response to these challenges, we propose a panoramic image inpainting framework that consists of a Face Generator, a Cube Generator, a side branch, and two discriminators. We use the Cubemap Projection (CMP) format as network input. The generator employs gated convolutions to distinguish valid pixels from invalid ones, while a side branch is designed utilizing contextual reconstruction (CR) loss to guide the generators to find the most suitable reference patch for inpainting the missing region. The proposed method is compared with state-of-the-art (SOTA) methods on SUN360 Street View dataset in terms of PSNR and SSIM. Experimental results and ablation study demonstrate that the proposed method outperforms SOTA both quantitatively and qualitatively.

关键词： image Inpainting Panoramic images Gated Convolution Adversarial Generative Networks

来源：评论

学校读者我要写书评

暂无评论

FPGA Implementation of Various Division Algorithms for image Processing Applications - A Comparative Analysis

FPGA Implementation of Various Division Algorithms for Image...

引用

2024 international conference on signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2024

作者： Jayanthi, B. Kumar, L.S. Someshwaran, A. Sandya, M. Bharadwaj, Nandhini National Institute of Technology Puducherry Department of ECE Karaikal India

ISBN: (纸本)9798331540685

Division is one of the most commonly sort after algorithm for performing image processing operations such as normalization, filtering, enhancement, deconvolution etc. Hence, the design of efficient division algorithm is highly essential in order to obtain a better image processing algorithm The first and foremost step in the implementation of any algorithm in hardware is to identify the number systems used to represent the inputs and outputs. The inputs, outputs and complexity of the algorithm varies based on the number system used. This paper proposes a recursive subtraction based fixed-point division algorithm. This work also provides a comparative analysis on various aspects such as area, power, delay and throughput, on comparing the proposed recursive subtraction based fixed-point division algorithm with the existing floating-point division, restoring integer division and non-restoring integer division algorithms and operator based fixed-point division algorithm. © 2024 ieee.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

An Automated Hybrid Fusion Network for Poisson Noise Reduction in X-Ray Osteoarthritis images

An Automated Hybrid Fusion Network for Poisson Noise Reducti...

引用

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

作者： Pavithra, M. Archana, D. Kanikha, M. Kavin, B. Kanishkar Rohith, G. Haritha, S. Kongu Engineering College Department Of Ece TamilNadu Erode638060 India Psg Institute Of Technology And Applied Research Department Of Ece Tamil Nadu Coimbatore India

ISBN: (纸本)9798350352689

Denoising X-ray images is essential for improving medical image quality, especially in diagnosing conditions like knee osteoarthritis in Computer-Aided Diagnosis (CAD) systems. The presence of statistical noise, such as Poisson noise, can degrade X-ray image quality. While increasing radiation intensity and detector exposure time can help reduce this corruption, certain scenarios require low-dose detection and rapid response, such as security checks and urgent medical imaging assessments. Balancing noise reduction with preserving essential edge details poses a complex challenge in the denoising process. This study introduces a hybrid approach that combines two distinct denoising techniques: Fused Wavelet Transform and Autoencoder networks. The fusion strategy aims to leverage the strengths of both methods to enhance denoising performance and accuracy. Standard image quality metrics including Mean Absolute Error (MAE), Mean Squared Error (MSE), Peak signal-to-Noise Ratio (PSNR), Frequency based Error (FBE), Mean Squared Error (MSE), Structural Similarity Index Matrix (SSIM), and Contrast-to-Noise Ratio (CNR) are employed to evaluate performance. The proposed framework is rigorously evaluated, demonstrating significant improvements in denoising performance. Thus, the hybrid fusion method produces denoised images with higher detail and accuracy compared to conventional Convolutional Neural Network (CNN) based methods. © 2024 ieee.

关键词： image quality

来源：评论

学校读者我要写书评

暂无评论

TransCGAN-based Parameter Extraction Framework for SAR image Simulation 2

TransCGAN-based Parameter Extraction Framework for SAR Image...

引用

2nd ieee international conference on signal, Information and Data Processing, ICSIDP 2024

作者： Deng, Sidan He, Jingfei Mao, Yongfei Zhao, Liangbo Chen, Liang Shi, Hao Beijing Institute of Technology National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Chongqing Innovation Center Chongqing China Beijing Institute of Technology National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Beijing China China Academy of Space Technology Institute of Remote Sensing Satellite Beijing China Beijing Institute of Technology National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Chongqing Innovation Center Beijing China

ISBN: (纸本)9798331515669

Synthetic Aperture Radar (SAR) images have a wide range of applications due to their all-weather and all-day working conditions. However, SAR images with different scenarios and imaging conditions are insufficient or even rare, which is required in specific SAR image tasks. Fortunately, SAR image simulation technology can provide ample simulated images under these conditions at a low cost, addressing the scarcity of specific real SAR data. Accurate parameters are crucial for obtaining high-quality simulated images. However, it is time-consuming and labour-intensive to adjust parameters manually, and it often fails to achieve accurate simulation parameters. To tackle this problem, this paper proposes a TransCGAN-based SAR image simulation method that combines deep learning with traditional methods. By training TransCGAN, a conditional generative adversarial network (CGAN) integrated with Transformer architecture, a mapping between SAR images and simulation parameters is established. This enables the extraction of simulation parameters directly from the real SAR image, guided by the corresponding real SAR image. Ultimately, the parameters are subsequently converted into simulated SAR images via simulation software. Experimental results demonstrate that our TransCGAN-based method can effectively extract accurate simulation parameters from real SAR images, resulting in simulated images holding high similarity to real images. © 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

AI-enhanced Healthcare IoT System: Advanced ML Detection and Classification Algorithms for Real-Time Cardiovascular Monitoring 20

AI-enhanced Healthcare IoT System: Advanced ML Detection and...

引用

20th Annual international conference on Distributed Computing in Smart Sensor systems and the internet of Things (DCOSS-IoT)

作者： Christodoulou, Lakis Chari, Andreas Georgiades, Michael Biomed Med Syst R&D Technol & Innovat Paphos Cyprus Neapolis Univ CS ISLab Paphos Cyprus Infostrada Commun Paphos Cyprus

ISBN: (纸本)9798350369458;9798350369441

Cardiovascular diseases (CVDs), including coronary heart disease, cerebrovascular disease, rheumatic heart disease, and other conditions affecting the heart and blood vessels, are identified by both the Pan American Health Organization and the World Health Organization as the leading cause of global mortality, underscoring their significant impact on health worldwide. In this paper we utilize emerging technologies in the fields of internet of Medical Things (IoMT) and AI/Machine Learning (ML) and propose an end-to-end prototype platform for real-time detection, classification, prediction, and monitoring of cardiovascular anomalies. In addition we introduce Cardio-ECG-Heart Arrhythmia Algorithms using advanced AI/ML, combining mathematical-statistical and computational techniques to intelligently detect critical conditions related to CVDs and arrhythmias. The proposed innovative AI/ML Peak Detection algorithm based on adaptive thresholds, coupled with the ML Decision Tree Classification algorithm, has been tested with numerous ECG signals and exhibits remarkable performance, achieving exceptional precision, accuracy, sensitivity, specificity, and F1 Score rates between 99% and 100%.

关键词： Electro-Cardio-Gram (ECG) Vital Signs AI Machine learning (ML) IoT IoMT adaptive digital signal processing (DSP) Smart Healthcare Monitoring (SHM) Detection Classification PQRST System on Chip (SoC)

来源：评论

学校读者我要写书评

暂无评论

FREQUENCY MASKING FOR UNIVERSAL DEEPFAKE DETECTION 49

FREQUENCY MASKING FOR UNIVERSAL DEEPFAKE DETECTION

引用

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

作者： Doloriel, Chandler Timm Cheung, Ngai-Man Singapore Univ Technol & Design SUTD Singapore Singapore

ISBN: (纸本)9798350344868;9798350344851

We study universal deepfake detection. Our goal is to detect synthetic images from a range of generative AI approaches, particularly from emerging ones which are unseen during training of the deepfake detector. Universal deepfake detection requires outstanding generalization capability. Motivated by recently proposed masked image modeling which has demonstrated excellent generalization in self-supervised pre-training, we make the first attempt to explore masked image modeling for universal deepfake detection. We study spatial and frequency domain masking in training deepfake detectors. based on empirical analysis, we propose a novel deepfake detector via frequency masking. Our focus on frequency domain is different from the majority, which primarily target spatial domain detection. Our comparative analyses reveal substantial performance gains over existing methods. Code and models are publicly available(1).

关键词： deepfake masked image modeling generative AI GAN diffusion models

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 << < 16 17 18 19 20 21 22 23 24 25 > >>

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：