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

17,674 篇 会议
260 册 图书
190 篇 期刊文献
1 篇 学位论文

馆藏范围

18,124 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

10,534 篇 工学
- 6,233 篇 计算机科学与技术...
- 4,015 篇 电气工程
- 3,829 篇 控制科学与工程
- 2,908 篇 软件工程
- 1,924 篇 信息与通信工程
- 1,554 篇 光学工程
- 1,406 篇 机械工程
- 997 篇 仪器科学与技术
- 583 篇 电子科学与技术（可...
- 549 篇 生物医学工程（可授...
- 433 篇 生物工程
- 232 篇 材料科学与工程（可...
- 195 篇 交通运输工程
- 163 篇 安全科学与工程
- 154 篇 化学工程与技术
- 139 篇 力学（可授工学、理...
- 115 篇 建筑学
- 110 篇 土木工程
- 104 篇 航空宇航科学与技...
3,400 篇 理学
- 2,548 篇 物理学
- 805 篇 数学
- 486 篇 生物学
- 295 篇 系统科学
- 209 篇 统计学（可授理学、...
- 134 篇 化学
1,654 篇 医学
- 1,577 篇 临床医学
- 185 篇 基础医学(可授医学...
761 篇 管理学
- 582 篇 管理科学与工程(可...
- 190 篇 图书情报与档案管...
- 120 篇 工商管理
107 篇 农学
78 篇 法学
43 篇 经济学
42 篇 教育学
39 篇 艺术学
37 篇 军事学
18 篇 文学

主题

2,736 篇 computer vision
1,686 篇 cameras
1,489 篇 signal processin...
1,442 篇 robot vision sys...
1,355 篇 image processing
1,175 篇 robot sensing sy...
912 篇 signal processin...
874 篇 mobile robots
839 篇 feature extracti...
769 篇 machine vision
549 篇 image segmentati...
504 篇 object detection
440 篇 visualization
424 篇 deep learning
409 篇 robustness
393 篇 estimation
367 篇 stereo vision
358 篇 navigation
343 篇 training
319 篇 robot kinematics

机构

83 篇 centre for visio...
63 篇 xi an jiao tong ...
54 篇 centre for visio...
37 篇 school of electr...
36 篇 centre for visio...
29 篇 carnegie mellon ...
28 篇 chinese acad sci...
27 篇 shanghai jiao to...
27 篇 center for machi...
27 篇 university of ch...
23 篇 centre for visio...
23 篇 harbin inst tech...
21 篇 univ chinese aca...
21 篇 nanyang technol ...
17 篇 centre for visio...
16 篇 university of sc...
16 篇 tsinghua univers...
13 篇 chinese acad sci...
13 篇 univ sci & techn...
13 篇 chinese univ hon...

作者

52 篇 j. kittler
40 篇 josef kittler
28 篇 nakadai kazuhiro
19 篇 anil fernando
18 篇 wang wei
15 篇 chen chen
14 篇 yang yang
13 篇 jing zhang
13 篇 liu yang
13 篇 sun fuchun
13 篇 nascimento jacin...
12 篇 sun lining
12 篇 hansung kim
11 篇 zhang lei
11 篇 bartolozzi chiar...
11 篇 hong liu
10 篇 wang lei
10 篇 li yang
10 篇 aguiar pedro m. ...
10 篇 qiuqiang kong

语言

17,941 篇 英文
86 篇 中文
84 篇 其他
12 篇 土耳其文
3 篇 俄文
2 篇 西班牙文

检索条件"任意字段=International Conference on Robot Vision and Signal Processing"

共 18125 条记录，以下是511-520 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 Autonomous Navigation Approach based on Bird's-Eye View Semantic Maps 27

An Autonomous Navigation Approach based on Bird's-Eye View S...

引用

27th international conference on Methods and Models in Automation and robotics (MMAR)

作者： Galvis, Juan Pediaditis, Dimitrios Almazrouei, Khawla Saif Aspragathos, Nikos Technol Innovat Inst Autonomous Robot Res Ctr Abu Dhabi U Arab Emirates Univ Patras Mech Engn Aeronaut Dept Patras Greece

ISBN: (纸本)9798350311075

With the continuous expansion of the use of mobile robots, providing them with autonomous navigation capabilities for different environments has become a very active research topic. In most cases, navigation systems are built around sensors like LiDAR which are expensive, not only due to the sensor cost but also to the computational power required for the processing of Point-Clouds. To provide an alternative to such systems, we propose a navigation approach that only requires a front-facing RGB Camera. In this system, every image is processed online using a semantic segmentation model to build a Bird's-Eye view semantic map, from which a local path and the corresponding motion commands can be calculated. Our method is evaluated first in simulation and later on, in a real mobile robot. The results show that our system enables the robot's successful navigation and collision avoidance through simulated and real indoor and outdoor environments.

关键词： semantic segmentation vision-based Navigation obstacle avoidance AMR

来源：评论

学校读者我要写书评

暂无评论

Shaft Rotation Monitoring Using Radar signal processing and Wavelet Transform 3rd

Shaft Rotation Monitoring Using Radar Signal Processing and ...

引用

3rd international conference on Machine vision and Augmented Intelligence, MAI 2023

作者： Valuyskiy, Denis Vityazev, Sergey Vityazev, Vladimir Ryazan State Radio Engineering University Gagarina. 59/1 Ryazan390005 Russia

ISBN: (纸本)9789819743582

This article discusses the problem of shaft rotation control for continuous testing of industrial equipment using a radar sensor. The FMCW radar with a frequency of 77 Hz is used to irradiate a rotating shaft and obtain information about the uniformity of its rotation. A test bench has been developed and radar reflections are recorded. Then the real signals are analyzed and an approach to signal processing and decision-making rules are proposed. The approach is based on wavelet transform and neural classification of rotating shifts with deep learning. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Radar signal processing

来源：评论

学校读者我要写书评

暂无评论

LDCFORMER: INCORPORATING LEARNABLE DESCRIPTIVE CONVOLUTION TO vision TRANSFORMER FOR FACE ANTI-SPOOFING 30

LDCFORMER: INCORPORATING LEARNABLE DESCRIPTIVE CONVOLUTION T...

引用

30th IEEE international conference on Image processing (ICIP)

作者： Huang, Pei-Kai Chiang, Cheng-Hsuan Chong, Jun-Xiong Chen, Tzu-Hsien Ni, Hui-Yu Hsu, Chiou-Ting Natl Tsing Hua Univ Dept Comp Sci Hsinchu Taiwan

ISBN: (纸本)9781728198354

Face anti-spoofing (FAS) aims to counter facial presentation attacks and heavily relies on identifying live/spoof discriminative features. While vision transformer (ViT) has shown promising potential in recent FAS methods, there remains a lack of studies examining the values of incorporating local descriptive feature learning with ViT. In this paper, we propose a novel LDCformer by incorporating Learnable Descriptive Convolution (LDC) with ViT and aim to learn distinguishing characteristics of FAS through modeling long-range dependency of locally descriptive features. In addition, we propose to extend LDC to a Decoupled Learnable Descriptive Convolution (Decoupled-LDC) for improving the optimization efficiency. With the new Decoupled-LDC, we further develop an extended model LDCformer(D) for FAS. Extensive experiments on FAS benchmarks show that LDCformer(D) outperforms previous methods on most of the protocols in both intra-domain and cross-domain testings. The codes are available at https://***/Pei-KaiHuang/ICIP23_D-LDCformer.

关键词： face anti-spoofing learnable descriptive convolution decoupled convolution vision transformer

来源：评论

学校读者我要写书评

暂无评论

Melspectrogram Based Music Genre Classification System Using vision Transformer

Melspectrogram Based Music Genre Classification System Using...

引用

2024 IEEE international conference on Intelligent signal processing and Effective Communication Technologies, INSPECT 2024

作者： Bansil, Paghdal Kushwah, Sapna Kishor, Avadh Singh, Pramod Kumar Kumar, Ajay ABV-IIITM Department of IT Gwalior India ABV-IIITM Department of CSE Gwalior India ABV-IIITM Engineering Sciences Gwalior India

ISBN: (纸本)9798350379525

In recent years, the popularity of music recommendation systems has surged, driven by the growth of diverse music content and the variety of digital music libraries accessible with a simple tap. Digital music collections are frequently organized based on genre labels, and recommendation systems rely on music genres to propose new tracks to listeners. Manually classifying a substantial music volume can be a laborious and time-consuming task. Hence, automated music classification by genre emerges as a pivotal task. Using machine learning(ML) to automatically classify music by genre offers a potentially faster and arguably more precise alternative to manual classification. Various deep-learning techniques have been employed for music classification tasks like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks. This paper discusses the drawbacks of the various Deep Learning(DL) Techniques and the possible use of vision Transformers(ViTs) in Music Classification. Although the Transformer architecture has emerged as the dominant choice for natural language processing tasks, its utilization in computer vision applications remain constrained. In essence, this paper aims to show that the vision Transformer can be used effectively to classify music based on images, which could be an innovative approach in the field of music genre classification. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Automated Real-Time Infection Detection in Oyster Mushroom Using Smart Farming System

Automated Real-Time Infection Detection in Oyster Mushroom U...

引用

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

作者： Sangeetha, S. Nithish Kumar, G. Nisanth, T. Sibi, S. Sri Hari, J. Siva Chandru, V. Kumaraguru School of Innovation Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331540685

ISBN: (纸本)9798331540685

In mushroom cultivation, particularly with oyster mushrooms, the presence of diseases like Trichoderma can lead to significant losses in yield and quality affecting an average of an 11% total production is affected in average cultivation. Manual monitoring and detection of such infections are labor-intensive and prone to human error. Additionally, since the infection is fungal and spreads quickly through common mediums including water, air, and humans, human surveillance leads to its continued spread. This paper aims to address these challenges by implementing an innovative solution that leverages computer vision, image processing, and IoT technologies. By minimizing human involvement, the system significantly diminishes the threat of infection spread through human contact and breathing, reducing it by 95%. It addresses the chance of human error in infection detection and optimizes the monitoring tasks. Overall, this automated solution promises an impressive 11% production boost. The proposed automated solution is evaluated with curated dataset and we are able to achieve 94% of accuracy. © 2024 IEEE.

关键词： YOLO Computer vision Accuracy Wires Production Manuals Motors

来源：评论

学校读者我要写书评

暂无评论

Detection method of abnormal load state of diesel generator set based on PANet network and IMF 4

Detection method of abnormal load state of diesel generator ...

引用

4th international conference on Computer vision, Application, and Algorithm, CVAA 2024

作者： Wang, Zhiguang Lu, Zhonghao Ren, Xudong Guo, Dewen Ren, Dongxu The First Company of China Construction Sixth Engineering Bureau Corp. Ltd. Guangzhou510535 China The First Company of China Construction Sixth Engineering Bureau Corp. Ltd. Yibin644000 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Aiming at the problems of missing smooth data, limited detection range and high false alarm rate in diesel generator set load state anomaly detection, an improved method based on PANet network and IMF is proposed. Through multi-sensor data acquisition and pre-processing, the anomaly detection model is constructed by combining PANet network and IMF to achieve comprehensive coverage and high accuracy of load state detection. Experiments prove that the method has excellent performance and is close to the ideal detection effect. © 2025 SPIE.

关键词： Data modeling Vibration Data acquisition Feature extraction signal detection Smoothing Coastal modeling Denoising Engineering signal generators

来源：评论

学校读者我要写书评

暂无评论

Analysis of simultaneous localization and mapping technology for mobile robot based on binocular vision 2

Analysis of simultaneous localization and mapping technology...

引用

2nd IEEE international conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2023

作者： Xue, Ziheng University of Bristol Faculty of Engineering University of Bristol Beacon House Queens Road BristolBS8 1QU United Kingdom

ISBN: (纸本)9781665462532

With the increasing demand for intelligent robot applications over the years, SLAM technology is also developing rapidly as an essential part of robot perception modality. SLAM is a vast system that involves multi-domain knowledge such as image pre-processing, matching, and camera pose estimation. In this paper, the basic architecture of SLAM based on binocular vision is elaborated, and some applications of its methods are presented in conjunction with new methods in recent years. The primary approach is to separate the front-end and back-end and achieve good tracking and map-building results using a multi-threaded approach. The front-end uses the SHI-Tomasi algorithm in OpenCV to detect the feature points, triangulation to calculate the landmark depth, and Lucas-Kanade optical flow method for tracking from one frame to the next and computing the pose transformation. G2O is used in the SLAM back-end to optimize the poses and nonlinearities. The analysis of SLAM based on binocular vision also provides an essential reference for people new to visual SLAM. © 2023 IEEE.

关键词： Stereo vision

来源：评论

学校读者我要写书评

暂无评论

A Review of Brain Information processing for robot Control 7

A Review of Brain Information Processing for Robot Control

引用

7th international conference on Image, vision and Computing, ICIVC 2022

作者： Cheng, Hao Wang, Mei Ma, Chen Yu, Chaofei Xi'an University of Science and Technology College of Computer Science and Technology Xi'an China

ISBN: (数字)9781665467346

ISBN: (纸本)9781665467346

In recent years, brain-controlled robot systems have made great progress. Electroencephalography (EEG) has become the most popular signal acquisition method because of its advantages of being non-invasive, easy to use, and low cost. Brain-controlled robots can help disabled people return to normal life. This paper reviews the methods used in EEG -based robot control systems and introduces some common brain-controlled robots, such as robotic arms, exoskeletons, and wheelchairs. Finally, the development prospect of the brain-controlled robot is summarized. © 2022 IEEE.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

Visual Defect Detection and Analysis of Digital robot Based on Virtual Artificial Intelligence Algorithm 4

Visual Defect Detection and Analysis of Digital Robot Based ...

引用

4th international conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT 2023

作者： Qiao, Lisha Zhang, Xiao He, Shun Guilin University of Electronic Technology Guangxi Beihai536000 China Northwest University Shaanxi Xi'an710127 China Kashgar Armed Police Detachment Xinjiang Uygur Autonomous Region Kashgar844000 China

The current research background of digital robot visual defect detection focuses on the application of virtual artificial intelligence algorithms. Convolutional neural networks (CNNS) perform well in the field of image processing and can learn and extract image features, which provides a more refined analysis ability for the visual defect detection of digital robots. Therefore, this paper focuses on the application of convolutional neural networks in digital robot vision defect detection, and explores the main processes of data collection and preprocessing, feature extraction, model training and defect detection in detail. Finally, the results of simulation experiments are as follows: Compared with traditional methods that rely on edge detection or threshold segmentation, the optimized defect detection accuracy rate is increased by 11.4%, and the image detection speed is increased by about 33.9%. The research results have important practical significance for improving the quality control of industrial manufacturing, which can not only improve the quality of products, but also adapt to the constant changes of the production line. © 2024 The Authors.

关键词： robot vision

来源：评论

学校读者我要写书评

暂无评论

Attention Disentanglement for Semantic Diffusion Modeling in Text-to-Image Generation

Attention Disentanglement for Semantic Diffusion Modeling in...

引用

2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Yu, Hsiang-Chun Chien, Jen-Tsung Institute of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9798350368741

Text-to-image model has been recently improved to generate the semantically rich high-quality images by strengthening natural language processing via transformer in a stable diffusion process. However, the challenges are still remained in accurately rendering the objects, colors and compositions, and in precisely resolving the ambiguities in textual descriptions. This paper presents an attention disentanglment for semantic diffusion where the semantic consistency is enhanced for text-to-image generation. By utilizing the cross-attention maps in stable diffusion, this method is feasible to control the semantic features during generation process without the need for retraining. Additionally, a vision-language model is merged to implement this process to ensure that the generated images are closely aligned with the input prompts. This study further presents the attention disentanglement for semantic diffusion where the schemes of syntax parsing and information-theoretic learning are implemented to separate the semantic attributes and relations, thereby improving the accuracy and coherence of the generated images in the experiments. © 2025 IEEE.

关键词： attention disentanglement diffusion model mutual information vision-language model

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 << < 48 49 50 51 52 53 54 55 56 57 > >>

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：