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

17,699 篇 会议
260 册 图书
190 篇 期刊文献
1 篇 学位论文

馆藏范围

18,149 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

10,551 篇 工学
- 6,241 篇 计算机科学与技术...
- 4,017 篇 电气工程
- 3,839 篇 控制科学与工程
- 2,914 篇 软件工程
- 1,926 篇 信息与通信工程
- 1,556 篇 光学工程
- 1,409 篇 机械工程
- 998 篇 仪器科学与技术
- 583 篇 电子科学与技术（可...
- 550 篇 生物医学工程（可授...
- 434 篇 生物工程
- 232 篇 材料科学与工程（可...
- 196 篇 交通运输工程
- 164 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...
- 117 篇 建筑学
- 112 篇 土木工程
- 105 篇 航空宇航科学与技...
3,403 篇 理学
- 2,549 篇 物理学
- 806 篇 数学
- 487 篇 生物学
- 295 篇 系统科学
- 210 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...
764 篇 管理学
- 584 篇 管理科学与工程(可...
- 191 篇 图书情报与档案管...
- 121 篇 工商管理
107 篇 农学
79 篇 法学
44 篇 经济学
44 篇 教育学
39 篇 艺术学
37 篇 军事学
18 篇 文学

主题

2,737 篇 computer vision
1,686 篇 cameras
1,488 篇 signal processin...
1,444 篇 robot vision sys...
1,359 篇 image processing
1,176 篇 robot sensing sy...
911 篇 signal processin...
876 篇 mobile robots
837 篇 feature extracti...
770 篇 machine vision
549 篇 image segmentati...
504 篇 object detection
442 篇 visualization
424 篇 deep learning
409 篇 robustness
392 篇 estimation
367 篇 stereo vision
358 篇 navigation
341 篇 training
321 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
19 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

17,892 篇 英文
158 篇 其他
88 篇 中文
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 18150 条记录，以下是931-940 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：

A Dilated Residual vision Transformer for Atrial Fibrillation Detection from Stacked Time-Frequency ECG Representations 47

A Dilated Residual Vision Transformer for Atrial Fibrillatio...

引用

47th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)

作者： Pratiher, Sawon Srivastava, Apoorva Priyatha, Yedla Bindu Ghosh, Nirmalya Patra, Amit Indian Inst Technol Kharagpur Dept Elect Engn Kharagpur 721302 W Bengal India

ISBN: (纸本)9781665405409

Atrial fibrillation (AF), the most frequent type of cardiac arrhythmia, has no apparent clinical symptoms in most cases for patients, making it more challenging to diagnose. However, the alterations in regular heart rhythm with an absence of visible P-waves in an Electrocardiogram (ECG) are often characterized as AF symptoms. ECG signals are often employed for AF prognosis to minimize the risk of stroke, coronary artery disease, and other cardiovascular diseases. This work proposes a new vision transformer (ViT) variant, namely, Dilated Residual ViT (DiResViT), by replacing the original patchify stem in ViT with dilated convolutional stem having residual connections for improved AF detection from an ensemble of ECG time-frequency representations. Dilated convolutions facilitate dense feature representation by comprehending the multi-scale contextual information and allowing the receptive field to expand exponentially without losing resolution. The introduction of residual connections alleviates the vanishing and exploding gradients problem by enabling the gradients to bypass some of the nonlinear activation functions with improved training convergence. DiResViT's exhaustive experimental validation outperforms the prior art in ECG-based AF detection, while the ablation study evinces enhanced performance compared to the existing ViT.

关键词： ECG AF deep learning vision transformer dilated convolutions residual connection attention saliency

来源：评论

学校读者我要写书评

暂无评论

Random Forest Distance Estimator Based on Monocular Egocentric RGB Camera in Human-robot Collaboration 8

Random Forest Distance Estimator Based on Monocular Egocentr...

引用

8th international conference on Communication, Image and signal processing, CCISP 2023

作者： Liu, Ao Yao, Yuan Sino European School of Technology Shanghai University Shanghai China School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (纸本)9798350305838

This paper presents a method for obtaining 3D gesture poses from monocular RGB camera images. A random forest based distance estimator is constructed and trained to generate depth information for hands. Furthermore, to improve efficiency, we employ a federated learning approach to reduce the model complexity of random forests. The RNN recognizes the topological structure of the hand, transmitting two-dimensional information of the hand keypoints to a random forest for the corresponding distance estimation. Experimental and application demonstration results show that this method can obtain stable 3D gestures from 2D images and reduce the complexity of the system implementation and registration. Because of input normalization, it can adapt to other cameras without the need for preconfiguration. Therefore, this method offers an effective and cost-efficient solution for obtaining 3D gesture poses, resulting in a significant cost advantage in the application of human-robot collaboration and making it highly promising for real-world applications. © 2023 IEEE.

关键词： Cameras

来源：评论

学校读者我要写书评

暂无评论

Soliciting the Problem of Manual Scavenging Using Advanced robot Technologies

Soliciting the Problem of Manual Scavenging Using Advanced R...

引用

2024 IEEE international conference on signal processing and Advance Research in Computing, SPARC 2024

作者： Bhatt, Vasundhara Rawat, Poonam Memoria, Minakshi Saxena, Sagar Law College Dehradun Uttaranchal University Dehradun India King Khalid University College of Computer Science Abha Saudi Arabia

ISBN: (纸本)9798350385199

Manual scavenging is a degrading and unethical practice that violates human rights and perpetuates social disparities. Despite being prohibited in India since 1993, it continues due to the social and economic disadvantage of the Dalit minority, who are primarily hired as manual scavengers. This essay explores the potential use of modern robotics technology to eradicate manual scavenging and improve social equity. The study examines the challenges and limitations of transitioning from manual scavenging to robotics technology, including the displacement of manual scavengers and the need for rehabilitation and reintegration. Advanced robotics technologies, such as robotic excreta cleaning systems, could replace manual scavenging and promote social fairness. However, adopting these technologies for manual scavenging requires a thorough understanding of the social and economic causes and systemic adjustments. The project aims to integrate advanced robotics technology with legal changes and social interventions to improve social equity and eradicate manual scavenging. This research paper result contributes to the ongoing discourse on manual scavenging by emphasizing the potential of modern robotics technology to enhance social justice and eradicate this inhumane practice. © 2024 IEEE.

关键词： Dalit Community IoT Marginalized Minority Policy robotics Social Justice Technologies

来源：评论

学校读者我要写书评

暂无评论

A FREE LUNCH FROM VIT: ADAPTIVE ATTENTION MULTI-SCALE FUSION TRANSFORMER FOR FINE-GRAINED VISUAL RECOGNITION 47

A FREE LUNCH FROM VIT: ADAPTIVE ATTENTION MULTI-SCALE FUSION...

引用

47th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)

作者： Zhang, Yuan Cao, Jian Zhang, Ling Liu, Xiangcheng Wang, Zhiyi Ling, Feng Chen, Weiqian Peking Univ Sch Software & Microelect Beijing Peoples R China Alibaba Grp Inc Beijing Peoples R China

ISBN: (纸本)9781665405409

Learning subtle representation about object parts plays a vital role in fine-grained visual recognition (FGVR) field. The vision transformer (ViT) achieves promising results on computer vision due to its attention mechanism. Nonetheless, with the fixed size of patches in ViT, the class token in deep layer focuses on the global receptive field and cannot generate multi-granularity features for FGVR. To capture region attention without box annotations and compensate for ViT shortcomings in FGVR, we propose a novel method named Adaptive attention multi-scale Fusion Transformer (AFTrans). The Selective Attention Collection Module (SACM) in our approach leverages attention weights in ViT and filters them adaptively to correspond with the relative importance of input patches. The multiple scales (global and local) pipeline is supervised by our weights sharing encoder and can be easily trained end-to-end. Comprehensive experiments demonstrate that AFTrans can achieve SOTA performance on three published fine- grained benchmarks: CUB-200-2011, Stanford Dogs and iNat2017.

关键词： FGVR vision transformer adaptive attention multi-scale fusion

来源：评论

学校读者我要写书评

暂无评论

Suno.G: A Comprehensive Assistive Communication Framework for the Specially Abled

Suno.G: A Comprehensive Assistive Communication Framework fo...

引用

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

作者： Tambe, Vrushali Cholke, Abhijeet Chavan, Puja Mane, Viraj Pathak, Revati Mundhe, Swarangi Vidhale, Soham Nivrutti Babaji Navale College of Commerce and Science Kusgaon Lonavala Pune India Trinity Academy of Engineering Pune India Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9798331540685

In response to the communication challenges faced by the specially abled, who comprise around 5% of the global population, we present Suno.G-a dedicated application designed to bridge the communication gap. With a primary focus on the deaf and dumb community, Suno.G strives to empower users through a thoughtfully crafted and intuitive interface. This interface seamlessly integrates text and visual aids, fostering effective message conveyance. Users engage with the application by typing out messages, a transformative process wherein the text undergoes translation into sign language or is visually represented through a dynamic array of images and icons. Suno.G pioneers inclusivity by offering a spectrum of customization options, including font size, color preferences, and the provision of a quick-access repository for frequently used phrases. These features collectively contribute to an enriched user experience, tailored to individual needs and preferences. © 2024 IEEE.

关键词： vision aids

来源：评论

学校读者我要写书评

暂无评论

Human Motion Prediction based on IMUs and MetaFormer 23

Human Motion Prediction based on IMUs and MetaFormer

引用

5th international conference on Image processing and Machine vision, IPMV 2023

作者： Xu, Tian Zhi, Chunyu Cui, Qiongjie School of Computer Science and Engineering Nanjing University of Science and Technology China

ISBN: (纸本)9781450397926

Human motion prediction forecasts future human poses from the histories, which is necessary for all tasks that need human-robot interactions. Currently, almost existing approaches make predictions based on visual observations, while vision-based motion capture (Mocap) systems have a significant limitation, e.g. occlusions. The vision-based Mocap systems will inevitably suffer from the occlusions. The first reason is the deep ambiguity of mapping the single-view observations to the 3D human pose;and then considering the complex environments in the wild, other objects will lead to the missing observations of the subject. Considering these factors, some researchers utilize non-visual systems as alternatives. We propose to utilize inertial measurement units (IMUs) to capture human poses and make predictions. To bump up the accuracy, we propose a novel model based on MetaFormer with spatial MLP and Temporal pooling (SMTPFormer) to learn the structural and temporal relationships. With extensive experiments on both TotalCapture and DIP-IMU, the proposed SMTPFormer has achieved superior accuracy compared with the existing baselines. © 2023 ACM.

关键词： Human robot interaction

来源：评论

学校读者我要写书评

暂无评论

End-to-end Reinforcement Learning of robotic Manipulation with Robust Keypoints Representation

End-to-end Reinforcement Learning of Robotic Manipulation wi...

引用

14th Annual Summit and conference of the Asia-Pacific-signal-and-Information-processing-Association (APSIPA ASC)

作者： Wang, Tianying Puang, En Yen Lee, Marcus Jing, Wei Wu, Yan Xi An Jiao Tong Univ Key Lab Educ Minist Modern Design Rotorbearing Syst Xian Peoples R China Xi An Jiao Tong Univ Sch Mech Engn Xian Peoples R China ASTAR Inst Informat Res I2R Singapore Singapore ASTAR Inst High Performance Comp IHPC Singapore Singapore Natl Univ Singapore NUS Singapore Singapore Alibaba DAMO Acad Hangzhou Peoples R China

ISBN: (数字)9786165904773

ISBN: (纸本)9786165904773

We present an end-to-end Reinforcement Learning (RL) framework for robotic manipulation tasks, using a robust and efficient keypoints representation. The proposed method learns keypoints from camera images as the state representation, through a self-supervised autoencoder architecture. The keypoints encode the geometric information, as well as the relationship of the tool and target in a compact representation to ensure efficient and robust learning. After keypoints learning, the RL step then learns the robot motion from the extracted keypoints state representation. The keypoints and RL learning processes are entirely done in the simulated environment. We demonstrate the effectiveness of the proposed method on robotic manipulation tasks including grasping and pushing, in different scenarios. We also investigate the generalization capability of the trained model. In addition to the robust keypoints representation, we further apply domain randomization and adversarial training examples to achieve zero-shot sim-to-real transfer in real-world robotic manipulation tasks.

关键词： Training robot motion robot vision systems Reinforcement learning Information processing Grasping Cameras

来源：评论

学校读者我要写书评

暂无评论

Radio Sensing with Large Intelligent Surface for 6G 48

Radio Sensing with Large Intelligent Surface for 6G

引用

48th IEEE international conference on Acoustics, Speech and signal processing, ICASSP 2023

作者： Vaca-Rubio, Cristian J. Ramirez-Espinosa, Pablo Kansanen, Kimmo Tan, Zheng-Hua Carvalho, Elisabeth De Aalborg University Department of Electronic Systems Aalborg Denmark University of Granada Departament of Signal Theory Telematics and Communications Granada Spain Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781728163277

This paper leverages the potential of Large Intelligent Surfaces (LIS) for radio sensing in 6G wireless networks. By taking advantage of arbitrary communication signals occurring in the scenario, we apply direct processing to the output signal from the LIS to obtain a radio map that describes the physical presence of passive devices (scatterers, humans) which act as virtual sources due to the communication signal reflections. We then assess the usage of machine learning and computer vision methods including clustering, template matching and component labeling to extract meaningful information from these radio maps. As an exemplary use case, we evaluate this method for passive multi-human detection in an indoor setting. The results show that the presented method has high application potential as we are able to detect around 98% of humans passively even in quite unfavorable signal-to-Noise Ratio (SNR) conditions. © 2023 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Path Planning of Materials Distribution robot for Sports Games Based on Improved Particle Swarm Optimization Algorithm 3

Path Planning of Materials Distribution Robot for Sports Gam...

引用

3rd international signal processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Jiang, Dong School of Physical Education Bohai University Jinzhou China

ISBN: (纸本)9798350307023

Machine delivery is gradually replacing human delivery as the mainstream development trend in material delivery for large-scale comprehensive sports events. In addition to having high requirements for hardware devices such as communication modules and sensor modules, material delivery robots also play a crucial role in path planning algorithms. The path planning module is equivalent to the brain of material delivery robots, determining the efficiency and quality of the entire delivery process. This article is based on the basic problem solving mathematical model. Firstly, the mathematical model and implementation process of the standard particle swarm optimization algorithm are studied. Then, in response to the existing problems, improvements are made from three aspects: inertia weight, acceleration factor, and limited particle velocity. Experimental simulation research is conducted using Schaffer fitness function. The results show that due to the advantages of fewer parameters and easy implementation of the improved particle swarm optimization algorithm, using the improved particle swarm optimization algorithm to solve the path planning of the sports meeting material delivery robot can obtain high-performance path planning and allocation schemes. © 2023 IEEE.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

Precision Exercise Monitoring Through Advanced Body Language Detection Using Computer vision 8th

Precision Exercise Monitoring Through Advanced Body Language...

引用

8th IFIP TC 12 international conference on Computer, Communication and signal processing, ICCCSP 2024

作者： Balaji, V.S. Sangeetha, K. Ganapathy, P. S. Anirudh Banu, M. Shafiya Kumar, S. Dinesh Department of Artificial Intelligence and Machine Learning Rajalakshmi Engineering College Chennai India

ISBN: (纸本)9783031736162

The paper aims to assist individuals in performing physical exercises with precision and safety. This model delivers real-time feedback on an individual’s workout style by utilising powerful computer vision and machine learning technology. It uses deep learning models for position estimation to recognise and track essential body features while exercising. It classifies workouts and their phases, such as "down" and "up," based on a continual monitoring of the user’s body position. Advanced computer vision algorithms are used to analyse video frames from the camera feed in order to extract critical data about the user’s form. It can recognise and classify certain workouts such as the deadlift, squat, and push-up by continually monitoring the user’s body position. The system provides useful information such as the current stage of the exercise, the number of repetitions, and the chance of correct performance. The model can recognize and detect the exercises performed by the person and it also iterates the number of times the exercises are done and it also detects the position of the body of the person. Healthcare professionals who want to promote safe and successful exercise regimens. © IFIP international Federation for Information processing 2025.

关键词： Deep learning

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 << < 90 91 92 93 94 95 96 97 98 99 > >>

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：