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

25,250 篇 会议
280 篇 期刊文献
21 册 图书
3 篇 学位论文

馆藏范围

25,554 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

15,801 篇 工学
- 9,866 篇 计算机科学与技术...
- 6,079 篇 电气工程
- 5,768 篇 信息与通信工程
- 5,611 篇 软件工程
- 2,017 篇 光学工程
- 1,448 篇 控制科学与工程
- 1,280 篇 机械工程
- 1,153 篇 电子科学与技术（可...
- 873 篇 生物医学工程（可授...
- 833 篇 生物工程
- 794 篇 仪器科学与技术
- 261 篇 网络空间安全
- 253 篇 化学工程与技术
- 244 篇 安全科学与工程
- 238 篇 交通运输工程
- 183 篇 材料科学与工程（可...
- 164 篇 土木工程
- 161 篇 建筑学
5,714 篇 理学
- 3,481 篇 物理学
- 2,204 篇 数学
- 886 篇 生物学
- 563 篇 统计学（可授理学、...
- 420 篇 系统科学
- 310 篇 化学
3,021 篇 医学
- 2,897 篇 临床医学
- 312 篇 基础医学(可授医学...
- 229 篇 药学(可授医学、理...
1,387 篇 管理学
- 849 篇 管理科学与工程(可...
- 610 篇 图书情报与档案管...
- 169 篇 工商管理
181 篇 法学
133 篇 农学
55 篇 教育学
52 篇 文学
51 篇 经济学
51 篇 军事学
22 篇 艺术学

主题

3,121 篇 image processing
2,084 篇 image coding
2,021 篇 visualization
1,752 篇 image segmentati...
1,488 篇 feature extracti...
1,082 篇 image reconstruc...
907 篇 cameras
885 篇 signal processin...
833 篇 image color anal...
756 篇 humans
714 篇 image edge detec...
688 篇 image enhancemen...
665 篇 computer vision
650 篇 training
582 篇 image analysis
568 篇 deep learning
536 篇 image quality
481 篇 conferences
473 篇 object detection
472 篇 robustness

机构

51 篇 school of electr...
50 篇 shanghai jiao to...
39 篇 ieee
38 篇 university of sc...
36 篇 shanghai jiao to...
36 篇 school of comput...
34 篇 shanghai jiao to...
33 篇 university of ch...
32 篇 microsoft resear...
26 篇 national institu...
25 篇 department of el...
24 篇 hendisli&#x011f
23 篇 institute for in...
23 篇 institute of ima...
23 篇 istanbul teknik ...
23 篇 institute of dig...
22 篇 peking univ inst...
21 篇 institute of inf...
21 篇 univ chinese aca...
21 篇 univ sci & techn...

作者

62 篇 guangtao zhai
46 篇 song li
45 篇 zhai guangtao
32 篇 jie yang
27 篇 li li
25 篇 m. vetterli
25 篇 bovik alan c.
25 篇 li sumei
25 篇 li song
25 篇 sarp ertürk
24 篇 jing zhang
24 篇 b. macq
23 篇 zhang lei
23 篇 li zhuo
23 篇 d.r. bull
22 篇 jürgen seiler
21 篇 shi guangming
20 篇 liu yang
20 篇 zhang wenjun
18 篇 mohamed-chaker l...

语言

24,744 篇 英文
489 篇 土耳其文
206 篇 其他
131 篇 中文
2 篇 西班牙文
2 篇 葡萄牙文

检索条件"任意字段=IEEE Visual Communications and Image Processing Conference"

共 25554 条记录，以下是341-350 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：

Improving the Construction of a Multi-modal Underwater image Recognition System for Anomaly Detection in Nuclear Power Plant Cooling Source Areas 8th

Improving the Construction of a Multi-modal Underwater Image...

引用

8th International conference on Life System Modeling and Simulation, LSMS 2024 and 8th International conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Huang, Yu Wang, Kai Gu, Yuntao Zhou, Chaofan Guo, Yuanjun Yang, Zhile China Nuclear Industry Maintenance Co. Ltd. Shenzhen Branch Shenzhen China Taiyuan University of Technology Taiyuan030024 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China

ISBN: (纸本)9789819602315

The cooling facilities of nuclear power plants are crucial components for transferring the accumulated heat from the reactor to the external environment. However, the complex structure of these facilities makes traditional manual anomaly detection methods inefficient, time-consuming, and poses certain risks to human safety. Therefore, this paper proposes a system for anomaly detection in the cooling source areas of nuclear power plants based on improved multi-modal underwater image recognition. The system utilizes deep learning and image processing techniques to denoise, compensate for illumination, and correct water flow in collected images of the cooling source areas. Wavelet-based noise removal techniques are applied to further enhance image clarity, providing accurate inputs for machine vision algorithms. By training an improved convolutional neural network model, real-time automatic identification and classification of underwater anomalies such as foreign objects and pipeline cracks are achieved, significantly improving the monitoring efficiency and safety of the cooling source areas in nuclear power plants. Comparative analysis with actual cases validates the excellent stability and accuracy of the proposed method in handling underwater operation images in the cooling source areas of nuclear power plants. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Nuclear power plants

来源：评论

学校读者我要写书评

暂无评论

Learning Joint Appearance and Shape Co-Representations for Co-Saliency Detection

Learning Joint Appearance and Shape Co-Representations for C...

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Guanting Guo Shenglong Hu Huihui Song Kaihua Zhang Nanjing University of Information Science and Technology Nanjing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Existing leading Co-saliency Detection (CoD) framework aims to segment the co-salient objects by learning the consensus visual representation of the foreground objects. However, despite different categories, some distractors may have similar appearance to the co-salient objects, such as Apples vs. Bananas have similar color and textures. This makes it challenging to distinguish the distractors only through learning the co-salient object appearance representations. To address this issue, we propose a joint appearance and shape co-representation learner for CoD, dubbed as ASCoD. The ASCoD is composed of a Co-Appearance learning Module (CoAM) and a Co-Shape learning Module (CoSM). The CoAM first learns a co-salient object appearance embedding that encodes the global cross-image and spatial context information. Then, this embedding is set as a co-appearance prototype, which guides the model to enhance the features to highlight the co-salient object regions. Afterwards, we design the CoSM that is a cross-attention module, among which the key and the value encode the shape information from a set of salient tokens dynamically selected by a Co-Shape Prototype generation Module (CSPM). Finally, through jointly optimizing the cascaded CoAM and CoSM, the optimal appearance and shape co-representations are achieved, marrying the merits of both appearance and shape co-representations that are not only robust to co-salient objects appearance variations, but also can well discriminate the co-salient objects from the distractors with similar appearance. Extensive evaluations on three challenging benchmarks including CoCA, CoSOD3k and CoSal2015, demonstrate superiority of the ASCoD to a variety of state-of-the-art CoD methods.

关键词： visualization Shape Prototypes Color Signal processing Benchmark testing Robustness Acoustics Speech processing

来源：评论

学校读者我要写书评

暂无评论

2021 International conference on visual communications and image processing (VCIP) Proceedings

2021 International Conference on Visual Communications and I...

引用

ieee visual communications and image processing (VCIP)

2021 International conference on visual communications and image processing (VCIP) Proceedings

关键词：

来源：评论

学校读者我要写书评

暂无评论

Stereo-Correct Digital Magnification of the Physical World Using Video-Pass-Through Augmented Reality

Stereo-Correct Digital Magnification of the Physical World U...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Jerald Thomas Mohammed Safayet Arefin Doug Bowman University of Wisconsin - Milwaukee Colorado State University Virginia Tech

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Video-pass-through (VPT) augmented reality (AR) enables greater field of view and fidelity compared to current optical-see-through AR technologies. However, the computational complexity of VPT AR has traditionally resulted in high latency, low resolution, and/or visual artifacts. Only recently have devices come on the market that successfully mitigate these drawbacks, such as the Varjo XR-3 and XR-4, the Apple Vision Pro, and the Meta Quest 3. We propose that low-latency VPT AR introduces several interesting 3D User Interface (3DUI) capabilities. In this position paper, we discuss one of these 3DUIs, namely stereo-correct digital magnification of the physical environment. Specifically, this paper presents a novel system for stereo-correct digital magnification of the physical environment using the Varjo XR-3 (but that can be generalized to other VPT AR systems). The digital magnification algorithm we propose enables stereoscopic magnification of physical objects in real time by utilizing the front-facing camera feeds of the VPT AR system, implemented entirely through software. In addition, we outline the challenges and limitations associated with the proposed system, discuss our current progress, and suggest potential future directions for the development of our proposed VPT AR digital magnification system.

关键词： Performance evaluation visualization Three-dimensional displays Stereo image processing Software algorithms User interfaces Software Real-time systems Usability Augmented reality

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Electronic Governance with Emerging Technologies, EGETC 2024

3rd International Conference on Electronic Governance with E...

引用

3rd International conference on Electronic Governance with Emerging Technologies, EGETC 2024

ISBN: (纸本)9783031770289

The proceedings contain 17 papers. The special focus in this conference is on Electronic Governance with Emerging Technologies. The topics include: Ecological Development of a Novel Machine Learning Technique for Electricity Consumption and Cost Prediction in Cloud Computing;blockchain Based Decentralized Approach for Securing Fog Computing Environment;Enhancing Face Spoofing Detection Via CNN Model Integration with Normalized Features;Study of ZigBee-Based Communication to Share Operative Weather Information Between UASs in the Frame of Smart Cities Concept;automating Exam Assessment Through Digital Transformation and image processing;an Analysis of Ethical Dimension of Machine Learning Models in Software Defect Prediction in Healthcare Sector;leaf Diseases Detection in Peach Using EfficientNet;medInsight: A Personalized Prescription Recommendation Using Machine Learning;intelligent Machine Learning for Cybersecurity: Anomaly Detection in Network Intrusion Systems and Beyond;Enhancing Cyber Resilience: Implementing DFMCAI for Threat Detection and Analysis;forecasting Future Credit Card Delinquencies: Leveraging Data Tables and visual Analysis for Enhanced Accuracy;navigating the Strategic Landscape: An In-Depth Review of the Strategic Planning Process;exploring Text Vectorization on the Polarity Detection of Spanish Comments;Evolutionary Optimization Techniques for the Design of Three-Dimensional UAV’s Antenna Arrays;cooperative Multi-agent Pursuit-Evasion Using Convolutional Neural Networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Spk2ImgMamba: Spiking Camera image Reconstruction with Multi-Scale State Space Models

Spk2ImgMamba: Spiking Camera Image Reconstruction with Multi...

引用

ieee Workshop on Applications of Computer Vision (WACV)

作者： Jiaoyang Yin Bin Fan Chao Xu Tiejun Huang Boxin Shi State Key Lab of Multimedia Info. Processing School of Computer Science Peking University Nat'l Eng. Research Ctr. of Visual Technology School of Computer Science Peking University Nat'l Key Lab of General AI School of Intelligence Science and Technology Peking University

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

As a bio-inspired vision sensor, the spiking camera has showcased remarkable capability in high-speed imaging with a sampling rate of 40,000 Hz. Reconstructing clear images from continuous spike streams, which is obtained by each photosensor continuously detecting photons and firing them asynchronously, has garnered significant attention. Despite promising results, existing spike-to-image reconstruction methods face challenges in balancing global receptive fields and efficient computation due to the inherent limitations of their backbones. Recently, due to powerful long-range modeling and linear complexity, the state space model (SSM) has emerged as a competitive alternative to CNNs and Transformers. In this paper, we propose a lightweight spike-to-image reconstruction network that harnesses Mamba as the backbone. Our approach sequentially executes three core modules: temporal information integration, spatial feature enhancement, and progressive image reconstruction. The former accumulates cues across diverse temporal windows to explore both long-term and short-term contexts. Subsequently, to model global dependencies while heightening local detail perception, we develop a multi-scale SSM block characterized by multi-scale multi-direction scanning, which effectively boosts spatial feature representations. Finally, intensity images are decoded progressively from the enhanced light-intensity features. Extensive experiments on both synthetic and real-captured data demonstrate that our approach achieves state-of-the-art performance, with only 10% of the network parameters and nearly two orders of magnitude less computational effort. The code will be available at https://***/interstellarH/Spk2ImgMamba.

关键词： Correlation Computational modeling Reconstruction algorithms Vision sensors Transformer cores Streaming media Cameras Transformers image reconstruction Streams

来源：评论

学校读者我要写书评

暂无评论

NeRF-3DTalker: Neural Radiance Field with 3D Prior Aided Audio Disentanglement for Talking Head Synthesis

NeRF-3DTalker: Neural Radiance Field with 3D Prior Aided Aud...

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Xiaoxing Liu Zhilei Liu Chongke Bi College of Intelligence and Computing Tianjin University China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Talking head synthesis is to synthesize a lip-synchronized talking head video using audio. Recently, the capability of NeRF to enhance the realism and texture details of synthesized talking heads has attracted the attention of researchers. However, most current NeRF methods based on audio are exclusively concerned with the rendering of frontal faces. These methods are unable to generate clear talking heads in novel views. Another prevalent challenge in current 3D talking head synthesis is the difficulty in aligning acoustic and visual spaces, which often results in suboptimal lip-syncing of the generated talking heads. To address these issues, we propose Neural Radiance Field with 3D Prior Aided Audio Disentanglement for Talking Head Synthesis (NeRF-3DTalker). Specifically, the proposed method employs 3D prior information to synthesize clear talking heads with free views. Additionally, we propose a 3D Prior Aided Audio Disentanglement module, which is designed to disentangle the audio into two distinct categories: features related to 3D awarded speech movements and features related to speaking style. Moreover, to reposition the generated frames that are distant from the speaker’s motion space in the real space, we have devised a local-global Standardized Space. This method normalizes the irregular positions in the generated frames from both global and local semantic perspectives. Through comprehensive qualitative and quantitative experiments, it has been demonstrated that our NeRF3DTalker outperforms state-of-the-art in synthesizing realistic talking head videos, exhibiting superior image quality and lip synchronization. Project page: https://***/NeRF-3Dtalker/.

关键词： visualization Head Three-dimensional displays Lips Semantics Neural radiance field Acoustics Synchronization Speech processing Faces

来源：评论

学校读者我要写书评

暂无评论

Fossa Optimization Algorithm with Convolution Neural Network Based Brain Tumor Segmentation and Classification in MRI images

Fossa Optimization Algorithm with Convolution Neural Network...

引用

Integrated Circuits and Communication Systems (ICICACS), ieee International conference on

作者： Veeresh Shivaprakash Ramy Read Hossain Aruna T M Tatiraju.V.Rajani Kanth Sir M Visvesvaraya College of Engineering Raichur India Affiliated to Visvesvaraya Technological University Belagavi India Government Engineering College Raichur India Visvesvaraya Technological University Belagavi India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Artificial Intelligence and Machine Learning Nitte Meenakshi Institute of Technology Bengaluru India TVR Consulting Services Private Limited Gajularamaram Hyderabad India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Magnetic Resonance image (MRI) brain tumor segmentation is critical and significant in a clinical field that assist in diagnosis, complete growth prediction and tumor mass rates required for patients. The complexity in segmenting brain tumors are challenging due to the various structures, shapes, locations, visual characteristics, frequency, texture and contrast. To overcome this issue, this research proposes a Fossa Optimization Algorithm (FOA) with Convolution Neural Network (CNN) for brain tumor classification. The Geodesic Active Contour (GAC) is used for segmentation which identifies tumor boundaries precisely in noisy and intricate data. FOA utilizes dynamic search strategy by its hunting behavior, balancing exploration and exploitation effectively. Its adaptive step size enables better convergence when avoiding local optima. Furthermore, its ability to capture edges and patterns makes it effective for classification. CNN are better to diverse in scale, noise and rotation because of its shared weights and local connectivity reduce the complexity thereby leading to higher accuracy and quick processing in classification. The FOA-CNN obtains 99.92% accuracy, 99.20% f1-score, 99.07% sensitivity and 99.34% precision for BRATS2020 dataset which is superior than Spatial Transformer Network and Non-local Attention Mechanism (STN-NAM).

关键词： image segmentation Accuracy Sensitivity Convolution Brain tumors Search problems Classification algorithms Complexity theory Optimization Biological neural networks

来源：评论

学校读者我要写书评

暂无评论

A 3D MRI Brain image Segmentation and Reconstruction System Based on Augmented Reality Technology 10th

A 3D MRI Brain Image Segmentation and Reconstruction System ...

引用

10th China Health Information processing conference, CHIP 2024

作者： Zhao, Wang Lu, Peixin Hu, LianTing Lu, Long School of Management Engineering Henan University of Engineering Zhengzhou China School of Safety Science and Emergency Management Wuhan University of Technology Wuhan China Guangdong Provincial People’s Hospital Guangzhou China School of Information Management Wuhan University Wuhan China The Center for Healthcare Big Data Research The Big Data Institute Wuhan University Wuhan China Institute of Pediatrics Guangzhou Women and Children’s Medical Center Guangzhou Medical University Guangzhou China School of Public Health Wuhan University Wuhan China

ISBN: (纸本)9789819637546

Background With the rapid development of information technology and the digitization of medical devices, various diseases require the use of medical imaging equipment for diagnosis. At present, various medical imaging diagnostic equipment such as CT and nuclear magnetic resonance can provide two-dimensional planar images of diseases. Doctors urgently need to accurately determine the spatial location, size, geometry, and spatial relationship with the surrounding tissue. Therefore, it is very important to use computer technology to segment 3D MRI images, determine the location of lesions, and then perform 3D reconstruction. Method At present, automatic recognition and marking of brain images are displayed in two dimensions. Therefore, it is necessary to use 3D visualization technology for reconstruction. In addition, it can be combined with virtual and real, and some additional information is superimposed on the brain image for integrated display. In addition, a combination of virtual and real needs to be superimposed, and some additional information is superimposed on the brain image for integrated display. The research focus of this paper includes two main parts: disease segmentation and 3D reconstruction visualization. Firstly, the disease segmentation method based on 3D MRI brain image files was designed, and then the feature extraction and 3D reconstruction functions were designed. Thereby forming a complete process of disease region segmentation and three-dimensional reconstruction. Results This study is based on a three-dimensional MRI brain image segmentation algorithm. The algorithm is advanced in technology, high in accuracy, and can effectively identify the location of the disease. Then, this study used the Unity tool to implement a three-dimensional reconstruction and visual display program for brain image disease segmentation. Therefore, the doctor can quickly and intuitively grasp the spatial information inside the brain and the information of the lesion

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach to Quantum-Resistant Selective Encryption for Agricultural Sensors with Limited Resources

A Novel Approach to Quantum-Resistant Selective Encryption f...

引用

ieee Annual Computing and Communication Workshop and conference (CCWC)

作者： Aditya Jagatha Akshay Kappala Mahesh Kamepalli Varghese Vaidyan Eric Yocam Yong Wang Gurcan Comert Dakota State University USA DSU USA North Carolina a T University USA

ISBN: (数字)9798331507695

ISBN: (纸本)9798331507701

Selective Encryption involves extracting critical features from the data and applying highly secure encryption to those features, while the remaining data is stored using less resource-intensive encryption techniques. Discrete Wavelet Transforms (DWT) provides a means to extract these essential features. Previous works on selective encryption using DWT have explored hardware-specific implementations, such as using a General Purpose GPU (GPGPU). However, in the context of agricultural images captured by edge devices with limited computational capabilities, leveraging a GPGPU would introduce additional hardware requirements and restrict application potential. We present a selective encryption methodology utilizing parallel CPU processing to accelerate calculations, addressing these limitations. Given the advancements in quantum computing, there is a need to ensure the employed encryption methods are secure against potential quantum attacks. We implement NIST-proposed standards: ML-KEM-1024 for key encapsulation and ML-DSA for signature verification, ensuring quantum-resistant security. Our approach provides a security analysis and performance evaluation. We demonstrate significant visual degradation of encrypted data, with mean PSNR of 4.7201 decibel (dB) and SSIM of 0.0003, indicating strong resistance to statistical attacks. Performance improvements range from 21.47% to 52.43% compared to full AES-256 encryption across various file sizes. We discuss optimizations for handling different data sizes and compare our approach's security and performance with existing state-of-the-art methods. This MLPQE method offers a balanced solution for securing agricultural images on resource-constrained edge devices while ensuring long-term data protection against emerging quantum threats.

关键词： Performance evaluation Resistance visualization Quantum computing image edge detection Streaming media Feature extraction Encryption Discrete wavelet transforms Streams

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 << < 31 32 33 34 35 36 37 38 39 40 > >>

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：