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
161 篇 期刊文献
80 册 图书
1 篇 学位论文

馆藏范围

20,492 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

12,756 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
- 4,636 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

1,121 篇 image segmentati...
1,066 篇 image coding
1,059 篇 signal processin...
1,009 篇 image processing
987 篇 internet of thin...
953 篇 feature extracti...
829 篇 image reconstruc...
632 篇 internet
553 篇 signal processin...
497 篇 signal to noise ...
476 篇 deep learning
476 篇 image edge detec...
458 篇 training
424 篇 image color anal...
400 篇 cameras
397 篇 robustness
396 篇 image enhancemen...
306 篇 image resolution
292 篇 image recognitio...
288 篇 accuracy

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
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...
20 篇 college of big d...
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

19,133 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 20492 条记录，以下是1031-1040 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：

The Design of Spectrally-Constrained Sequences with Periodic Zero-Correlation Zone

The Design of Spectrally-Constrained Sequences with Periodic...

引用

2024 international conference Optoelectronic Information and Optical Engineering, OIOE 2024

作者： Liu, Shicheng Peng, Xiuping Wang, Shide School of Information Science and Engineering Yanshan University Qinhuangdao066004 China Hebei Province Key Laboratory of Information Transmission and Signal Processing Qinhuangdao066004 China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

Spectrally-constrained sequences (SCSs) are primarily used in emerging systems operating over non-contiguous spectrum such as cognitive radio and cognitive radar. In order to obtain more SCSs, firstly, a novel type of SCS called periodic zero-correlation zone spectrally-constrained sequence(PZCZ-SCS) is proposed in this paper. Then, based on time-frequency synthesis analysis, the conditions that the PZCZ-SCSs must satisfy in terms of "spectral constraint" are derived. Specifically, it is a divisible difference set with parametersλ1 = k and λ1 > λ2. Finally, the construction of PZCZ-SCSs is presented by using the Chinese remainder theorem. Through this research, a new class of SCS is provided for cognitive radio. © 2025 SPIE.

关键词： image coding

来源：评论

学校读者我要写书评

暂无评论

ECG Anomaly Detection with LSTM-Autoencoder for Heartbeat Analysis

ECG Anomaly Detection with LSTM-Autoencoder for Heartbeat An...

引用

2024 ieee international conference on Consumer Electronics, ICCE 2024

作者： Farady, Isack Patel, Vraj Kuo, Chia-Chen Lin, Chih-Yang National Central University Taiwan Marwadi University India National Center for High-performance Computing Taiwan

ISBN: (纸本)9798350324136

Electrocardiogram (ECG) signals are central to cardiac health assessment but interpreting them accurately requires expertise. Traditional methods often lack interpretability, posing limitations in ECG signal analysis. In this study, we propose an LSTM-based autoencoder to detect anomalies in 1D ECG signals, taking inspiration from 2D image anomaly detection techniques. Our model addresses the limitations of conventional methods and enhances ECG signal analysis accuracy. Due to the scarcity of annotated ECG datasets, we adopt an unsupervised anomaly detection approach by harnessing LSTM-based autoencoders. This enables us to uncover underlying patterns in ECG signals, facilitating the detection of abnormal patterns without the need for explicit labeling. Experimental results demonstrate that our LSTM-based autoencoder produces competitive outcomes. This work underscores the potential of deep learning approaches to enhance both the accuracy and efficiency of anomaly hearbeat in ECG signals. © 2024 ieee.

关键词： autoencoder model deep learning electrocardiogram signal long short-Term memory time-series anomaly detection

来源：评论

学校读者我要写书评

暂无评论

OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation

OCTAMamba: A State-Space Model Approach for Precision OCTA V...

引用

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

作者： Zou, Shun Zhang, Zhuo Gao, Guangwei College of Artificial Intelligence Nanjing Agricultural University Nanjing China College of Computer Science and Technology National University of Defense Technology Changsha China Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

ISBN: (纸本)9798350368741

Optical Coherence Tomography Angiography (OCTA) is a crucial imaging technique for visualizing retinal vasculature and diagnosing eye diseases such as diabetic retinopathy and glaucoma. However, precise segmentation of OCTA vasculature remains challenging due to the multi-scale vessel structures and noise from poor image quality and eye lesions. In this study, we proposed OCTAMamba, a novel U-shaped network based on the Mamba architecture, designed to segment vasculature in OCTA accurately. OCTAMamba integrates a Quad Stream Efficient Mining Embedding Module for local feature extraction, a Multi-Scale Dilated Asymmetric Convolution Module to capture multi-scale vasculature, and a Focused Feature Recalibration Module to filter noise and highlight target areas. Our method achieves efficient global modeling and local feature extraction while maintaining linear complexity, making it suitable for low-computation medical applications. Extensive experiments on the OCTA 3M, OCTA 6M, and ROSSA datasets demonstrated that OCTAMamba outperforms state-of-the-art methods, providing a new reference for efficient OCTA segmentation. Code is available at https://***/zs1314/OCTAMamba. © 2025 ieee.

关键词： Mamba OCTA image State Space Model

来源：评论

学校读者我要写书评

暂无评论

Optimizing Network Performance in κ-µ Fading and Co-Channel Interference Environments using Machine Learning and Experimental Design 2

Optimizing Network Performance in κ-µ Fading and Co-Channe...

引用

2nd ieee international conference on Integrated Intelligence and Communication systems, ICIICS 2024

作者： Upadhyay, Deepak Sharma, Kunj Bihari Upadhyay, Abhay Gupta, Mridul Sharma, Rashmi Venu, Nookala Department of Computer Science and Engineering Graphic Era Hill University Dehradun India Department of Computer Science and Engineering Graphic Era deemed to be University Dehradun India Department of Electronics and Communication Engineering Graphic Era deemed to be University Dehradun India Nagpur Campus Pune India Centre for Internet of Things Madhav Institute of Technology & Science Deemed University Gwalior India

ISBN: (纸本)9798331504960

ML and RL are one of the innovative solutions to optimize network performance in κ-μ fading and co-channel interference scenarios where traditional methods often fail. ML employs data driven, adaptive methods to minimize signal degradation and interference while significantly enhancing throughput, SNR (signal-to-noise ratio) and overall system performance. The manner in which the transmission power and the antenna configuration should be set can be indeed determined by factorial experiments (FEs) additionally to RSM[ together with what it is called, response surface methodology. RL algorithms make use of the RL for dynamic parameter updates and maximize cumulative rewards at each time-step. My main takeaway from this work is that machine learning can be used to facilitate reliable and efficient communication in challenging wireless environments, which could be applicable beyond the setting considered here. Additional insights into scalability will be needed to generalize ML-driven optimization across different network scenarios. © 2024 ieee.

关键词： Cochannel interference

来源：评论

学校读者我要写书评

暂无评论

Brain tumor classification model of ResNet-50 network based on different data enhancement algorithms 8

Brain tumor classification model of ResNet-50 network based ...

引用

8th international conference on Intelligent Computing and signal Processing, ICSP 2023

作者： Zou, Menghan Ma, Mingze Wang, Anan Li, Yujie Toe, Teoh Teik Harbin Institute of Technology Weihai School of Computer Science and Technology WeiHai China Harbin Institute of Technology Weihai Welding Technology and Engineering WeiHai China Harbin Institute of Technology Weihai Marine Information Engineering WeiHai China Harbin Institute of Technology Weihai Information Management and Information System WeiHai China Nanyang Technological University Ntu Business Ai Lab Singapore

ISBN: (纸本)9798350302455

The accuracy and stability of brain tumor MRI image classification is significant for the healthcare system, but the traditional models have the defects of difficulty in handling complex features and unstable classification. In this paper, we propose a novel brain tumor classification model based on residual neural network, and use three different data enhancement algorithms: geometric transformation, mixup, and SamplePairing to process a dataset containing four different types of brain tumor images, and finally evaluate the classification effect of our proposed model. Among them, the best results were achieved by using geometric transformations for data enhancement. © 2023 ieee.

关键词： image classification

来源：评论

学校读者我要写书评

暂无评论

GNSS deformation monitoring analysis based on the spatio-temporal Kalman filter: A comparison study 6

GNSS deformation monitoring analysis based on the spatio-tem...

引用

6th international conference on Intelligent Control, Measurement and signal Processing, ICMSP 2024

作者： Chen, Yajie Mu, Kai Tan, Jia Wang, Chao Chen, Lin Xiong, Jun State Grid Corp. of China Qingpu Power Supply Co. Shanghai China Shanghai Huace Navigation Technology Ltd. Shanghai China Nanjing University of Posts and Telecommunications School of Internet-of-Things Nanjing China

ISBN: (纸本)9798331516550

Kalman filter (KF) is a widely applied technique for deformation monitoring, which can estimate the deformation displacement from the noisy Global navigation satellite system (GNSS) measurements. This work compares the traditional KF and spatio-temporal Kalman filter (STKF) from the aspect of algorithm models and simulation results. The algorithm implementation of KF and STKF for deformation monitoring are given and analyzed in detail. In the case of stable deformation process, results show that both methods can accurately estimate the deformation displacement. In the case of sudden deformation process, such as burst step displacement and slope displacement, STKF outperforms KF via its spatio-temporal modelling. based on the Kriging model, STKF can fully exploit the correlation among different monitoring points, then estimate the deformation without low delay. © 2024 ieee.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of image Steganography Techniques in Spatial and Transform Domains

A Comparative Analysis of Image Steganography Techniques in ...

引用

2023 ieee international conference on Dependable, Autonomic and Secure Computing, 2023 international conference on Pervasive Intelligence and Computing, 2023 international conference on Cloud and Big Data Computing, 2023 international conference on Cyber Science and technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Shehada, Dina Bouridane, Ahmed University of Sharjah Department of Electrical Sharjah United Arab Emirates College of Engineering and It University of Dubai Dubai United Arab Emirates

ISBN: (纸本)9798350304602

image steganography is the study and practice of concealing information within images with the purpose of deceiving the viewer as if there is no information hidden within the images. Transferring the embedded information to the destination securely without being detected is considered the biggest challenge. In this paper, a comparative analysis of image steganography in both the spatial and a transform domains, particularly the Least Significant Bit (LSB) and Discrete Cosine Transform (DCT) was conducted. Two experiments were carried out to evaluate the performance of LSB and DCT based steganography techniques with respect to the quality of the generated stego images and their robustness against some known attacks. ALASKA2 and BOSSBase datasets were utilized in this study. The results show that the DCT based stenography technique outperforms the LSB counterpart as it generates stego images with higher quality and higher (Peak to signal Ratio) PSNR values. It was also shown that DCT steganography is more robust against steganalysis. © 2023 ieee.

关键词： Discrete cosine transforms

来源：评论

学校读者我要写书评

暂无评论

Reinforcement Learning for Adaptive Traffic signal Control Using Deep Q-Networks 1

Reinforcement Learning for Adaptive Traffic Signal Control U...

引用

1st international conference on Sustainable Energy Technologies and Computational Intelligence, SETCOM 2025

作者： Bohra, Asha Rani Selvi, Thamarai Vishal, V. Sunkara, Pawan Sai Sunku, Balaji Jignesh, Bhavsar Nitya New Horizon College of Engineering Dept. of Computer Science and Engineering Karnataka Bengaluru India New Horizon College of Engineering Dept. of Information Science and Engineering Karnataka Bengaluru India

ISBN: (纸本)9798331520540

Traffic congestion is a critical issue in urban areas, contributing to increased travel time, fuel consumption, and environmental pollution. Traditional traffic signal control methods, such as fixed-time systems, cannot adapt to real-time changes in traffic conditions. This paper presents a novel approach using Deep Q-Networks (DQN) to control traffic signals based on realtime traffic data dynamically. Our simulation environment models a four-way intersection, where vehicle densities and wait times are continuously monitored. The DQN agent optimizes green light durations by minimizing vehicle wait times and maximizing traffic throughput. Extensive simulation results demonstrate that our system significantly reduces congestion and improves traffic flow compared to traditional fixed-time systems. Furthermore, the approach shows potential for real-world applications in urban traffic control systems, particularly in smart cities equipped with internet of Things (IoT) devices. © 2025 ieee.

关键词： Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

Hyperspectral image anomaly detection based on minimum noise fraction and tensor low-rank theory 4

Hyperspectral image anomaly detection based on minimum noise...

引用

4th international conference on Green Communication, Network, and internet of Things, CNIoT 2024

作者： Zhang, Pengyuan Lin, Qing Du, Binhua Wu, Yaochen Sun, Lei School of Systems Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (纸本)9781510685710

Hyperspectral imaging (HSI) provides a powerful guarantee for the accurate identification of various targets due to its rich spectral and spatial information. Anomaly detection, a significant application of HSI, is inevitably affected by noise during the imaging process. To achieve effective HSI anomaly detection in complex environments, this paper propose minimum noise fraction (MNF) and tensor low-rank anomaly detection by replacing principal component analysis (PCA) in PCA-tensor low-rank and sparse representation (TLRSR) with MNF as a preprocessing step. Experimental tests using real hyperspectral data demonstrate that the proposed method can effectively reduce noise in HSIs and significantly enhance the anomaly detection accuracy. © 2024 SPIE.

关键词： signal to noise ratio Detection and tracking algorithms Principal component analysis Covariance matrices Hyperspectral imaging Target detection Interference (communication) Data modeling Denoising Sensors

来源：评论

学校读者我要写书评

暂无评论

Exploiting Foundation Models for Label-Efficient Few-Shot Learning via Feature Coupling: A Case Study of cardiac CT Segmentation

Exploiting Foundation Models for Label-Efficient Few-Shot Le...

引用

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

作者： Chen, Wei Li, Chen Zhou, Wenjuan Li, Yuhang Guo, Tianhang Tang, Yuhua College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9798350368741

The scarcity of labeled data poses a significant challenge for deep learning-based medical image segmentation. To address this, this study introduces the novel Foundation Model-based Few-Shot Segmentation (FM-FSS) paradigm. FM-FSS capitalizes on the knowledge distilled from pre-trained foundation models, such as the Segment Anything Model, to enhance segmentation performance in few-shot scenarios. The paradigm designs a feature coupling module that synergizes SAM's powerful feature extraction capabilities with nnU-Net's self-configuration strategy, enabling accurate segmentation with minimal labeled data and optional manual prompt inputs. Extensive experiments on a publicly available cardiac CT dataset demonstrate that FM-FSS outperforms state-of-the-art segmentation models. With only 20 labeled images, our method achieves an average Dice score of 94.33% and an ASD of 1.10 mm. Moreover, FM-FSS maintains its label-efficient performance in a one-shot setup, reducing the annotation requirements by at least fourfold. The code and pre-trained models will be released upon acceptance. © 2025 ieee.

关键词： Few-shot learning Foundation model image segmentation SAM

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 << < 100 101 102 103 104 105 106 107 108 109 > >>

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：