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

18,409 篇 会议
214 册 图书
195 篇 期刊文献

馆藏范围

18,815 篇 电子文献
3 种 纸本馆藏

日期分布

学科分类号

13,444 篇 工学
- 9,750 篇 计算机科学与技术...
- 6,613 篇 软件工程
- 3,604 篇 控制科学与工程
- 2,472 篇 信息与通信工程
- 2,309 篇 电气工程
- 1,742 篇 光学工程
- 1,518 篇 机械工程
- 1,119 篇 生物工程
- 911 篇 电子科学与技术（可...
- 863 篇 生物医学工程（可授...
- 786 篇 仪器科学与技术
- 574 篇 动力工程及工程热...
- 544 篇 交通运输工程
- 514 篇 安全科学与工程
- 503 篇 材料科学与工程（可...
- 454 篇 化学工程与技术
- 349 篇 土木工程
- 338 篇 网络空间安全
5,375 篇 理学
- 2,371 篇 物理学
- 2,288 篇 数学
- 1,232 篇 生物学
- 598 篇 统计学（可授理学、...
- 590 篇 系统科学
- 448 篇 化学
2,430 篇 管理学
- 1,728 篇 管理科学与工程(可...
- 831 篇 图书情报与档案管...
- 688 篇 工商管理
1,093 篇 医学
- 970 篇 临床医学
- 561 篇 基础医学(可授医学...
- 362 篇 药学(可授医学、理...
363 篇 法学
259 篇 经济学
252 篇 农学
218 篇 教育学
64 篇 军事学
25 篇 艺术学
20 篇 文学
3 篇 哲学

主题

1,583 篇 computer vision
370 篇 deep learning
314 篇 computer archite...
282 篇 cameras
255 篇 object detection
254 篇 computational mo...
239 篇 control systems
236 篇 computer science
220 篇 image segmentati...
213 篇 feature extracti...
209 篇 internet of thin...
187 篇 access control
173 篇 machine vision
158 篇 neural networks
137 篇 artificial intel...
132 篇 face recognition
130 篇 real-time system...
129 篇 data mining
129 篇 process control
128 篇 support vector m...

机构

47 篇 chitkara univers...
46 篇 school of comput...
44 篇 school of contro...
29 篇 maharishi school...
24 篇 karnataka bangal...
21 篇 school of comput...
19 篇 maharishi school...
17 篇 chitkara univers...
17 篇 college of compu...
15 篇 university of ch...
15 篇 school of comput...
14 篇 south china univ...
14 篇 dept. of compute...
14 篇 department of co...
14 篇 chitkara univers...
14 篇 college of compu...
13 篇 school of comput...
12 篇 school of comput...
12 篇 centre of interd...
12 篇 school of comput...

作者

19 篇 wang lei
18 篇 li yang
17 篇 wang wei
16 篇 yang yang
14 篇 liu yang
13 篇 wang hui
13 篇 ryszard tadeusie...
13 篇 marcin korytkows...
12 篇 wang ping
12 篇 wang jian
12 篇 sato jun
12 篇 jacek m. zurada
11 篇 zhang tao
11 篇 sakaue fumihiko
11 篇 zhang lei
11 篇 huang tinglei
11 篇 liu lei
10 篇 lei wang
10 篇 li xin
10 篇 wang jing

语言

17,968 篇 英文
743 篇 其他
119 篇 中文
16 篇 俄文
7 篇 西班牙文
2 篇 法文
2 篇 土耳其文

检索条件"任意字段=Proceedings of the 3rd International Conference on Control and Computer Vision"

共 18818 条记录，以下是501-510 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：

Modular Approaches to Complex Reasoning in Visual Question Answering Systems 3

Modular Approaches to Complex Reasoning in Visual Question A...

引用

3rd international conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025

作者： Bhosale, Akshay Wandre, Sujit Chavan, Sagar Waje, Ketan Pande, Sandeep MIT Academy of Engineering School of Computer Engineering Pune India MIT Academy of Engineering School of ENTC Engineering Pune India MIT Academy of Engineering School of Mechanical Engineering Pune India

ISBN: (纸本)9798331523893

Visual Question Answering is a challenging task requiring the integration of visual and textual information to answer questions about images. This research introduces a robust VQA system that combines advanced deep learning techniques, including Visual BERT, ViLT, cross-modal memory networks, memory-augmented attention mechanisms, and vision language pre-training models such as Flamingo and BLIP. These methods enable effective multimodal fusion, dynamic memory retrieval, and adaptation to novel question types using few-shot learning. Using the VQA v2.0 dataset, the system achieved 80% accuracy, outperforming traditional models such as LSTM-CNN and attention-only approaches. Enhanced BLEU scores and precision-recall metrics underscore its capability in handling complex, multi-step reasoning tasks. This work highlights significant improvements in VQA systems and establishes a scalable framework for advancing multimodal learning, paving the way for future research on larger datasets and real-world applications. © 2025 IEEE.

关键词： Question answering

来源：评论

学校读者我要写书评

暂无评论

Develop an AIoT Badminton Serving Machine 23

Develop an AIoT Badminton Serving Machine

引用

52nd international conference on Parallel Processing (ICPP)

作者： Hsiao, Shao-Bo Ik, Tsi-Ui Natl Yang Ming Chiao Tung Univ Hsinchu Taiwan

ISBN: (纸本)9798400708428

An AIoT badminton serving machine refers to a shuttlecock serving machine with an IoT wireless interface that can support the integration with computer vision and intelligent computing to develop innovative applications to improve teaching and learning efficiency and increase entertainment experience. The serving machine should be equipped with IoT capacity to support wireless communication and real-time control, provide APIs for programmable capability, and provide precise control on shuttlecock serving. Especially, APIs offer the interface to interact with intelligent technologies such as computer vision. In this work, we developed a MCU to control serving machine hardware, a RPi-based system to provide wireless interface and control API. MQTT protocol is utilized to sending/receiving messages. As an example, serving machine positioning and calibration functions were implemented by integrating computing vision.

关键词： AIoT Badminton Serving Machine computer vision Sports Science

来源：评论

学校读者我要写书评

暂无评论

AUTOMATIC DRONE LANDING ON A BOAT: THEORY AND PRELIMINARY EXPERIMENTAL RESULTS 43

AUTOMATIC DRONE LANDING ON A BOAT: THEORY AND PRELIMINARY EX...

引用

ASME 43rd international conference on Ocean, Offshore and Arctic Engineering (OMAE)

作者： Falang, Martin Hinostroza, M. A. Hove, Peter Bull Sundvoll, Thomas Lekkas, Anastasios M. Norwegian Univ Sci & Technol Dept Engn Cybernet Trondheim Norway Equinor ASA Stavanger Norway

ISBN: (纸本)9780791887837

Recent rapid advances within autonomy for unmanned aerial vehicles (UAVs) make it possible to consider deploying them for critical operations in challenging environments, such as the ocean. Going even further, the combined operation of UAVs and autonomous surface vessels (ASVs) could be a strong enabler for exploration and search and rescue missions at sea, to name a few examples. The main contribution of this paper involves designing the perception, planning and control modules for the fundamental phase of such a collaborative operation, that is, the automatic drone landing of an UAV on an ASV. The perception system utilizes an Extended Kalman Filter that fuses the estimates from two computer vision systems, one based on deep learning and one on traditional edge detection approaches. The control system is a cascaded structure of position, velocity, and attitude control. The high-level planning is based on the GraphPlan algorithm and generates action sequences to solve three missions of different complexity based on a set of defined domain variables. The efficiency of the proposed solution is demonstrated via field trials involving a Parrot Anafi quadcopter landing on a helipad installed on DNV's Revolt ASV. Our preliminary experimental results demonstrate that the system is capable of landing the UAV on the Revolt at sea, in conditions that were almost stationary, or involved forced rolling motion.

关键词： Mission planning Drone landing Kalman filter vision computer Experimental test

来源：评论

学校读者我要写书评

暂无评论

Human fall detection based on improved particle swarm optimization algorithm and neural network 3

Human fall detection based on improved particle swarm optimi...

引用

3rd international conference on computer vision, Image and Deep Learning and international conference on computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Zhou, Chaowei Xiao, Jie Xiong, Aimin Zhang, Caifeng South China Normal University School of Physics and Telecommunication Engineering Guangzhou China Qingyuan HuaYun Smart Control Technology Co. Ltd Qingyuan China Scnu Qingyuan Institute of Science and Technology Innovation Co. Ltd Qingyuan China

ISBN: (纸本)9781665459112

As the global population continues to age, fall detection has become a common concern in the field of public safety. Fast and accurate detection of falling behaviors in surveillance videos and timely sending out help signals can effectively reduce the injuries caused by falls in the elderly. This paper proposes a hybrid algorithm based on an improved particle swarm optimization algorithm and a neural network for real-time fall detection in indoor environments. Human keypoints in video frames are first extracted using the alphapose model, and then the human keypoints are classified in real-time using an improved particle swarm optimization neural network model. Experimental results show that this method can effectively detect falling behaviors in indoor scenes. © 2022 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

American Sign Language Recognition using Video vision Transformers 3

American Sign Language Recognition using Video Vision Transf...

引用

3rd international conference on Advanced Computing Technologies and Applications, ICACTA 2023

作者： Singh, Nishant Shinde, Vinayak Kanani, Pratik Shree L.R. Tiwari College of Engineering Dept. of Computer Engineering Mumbai India Dwarkadas J. Sanghvi College of Engineering Dept. of Computer Engineering Mumbai India

ISBN: (纸本)9798350348347

Sign language is the most natural and effective way for communication amongst the hearing/vocally challenged and the hearing abled. To bridge the social gap, this paper proposes a system that aids in translating from a video feed of American Sign Language signers to a known set of common English words. Current solutions for vision based sign language to English translation is limited to a very small set of target classes and old modeling techniques that do not take into consideration the temporal factor that caters to the sequential nature of signing. We use the WLASL dataset, which is a largescale dataset for Word-Level American Sign Language and it comprises of 2000 words from over 100 signers and develop models on WLASL100 and WLASL300 each representing the top 100 and 300 most commonly appearing glossaries respectively. For modelling, we make use of video vision transformers (ViViT) to leverage the power of multi head attention in a temporal and spatial setting and experiment with two feature extraction models like Truncated Resnet50 and MoveNet-thunder which act as a precursor to the ViViT. The final model does better than state of the art models like Pose-GRU, Pose-TGCN and VGG-GRU, which were also trained on the WLASL dataset with a top-1 accuracy of 59.44% on the WLASL100 subset and a top-1 accuracy of 48.38% on the WLASL300 subset. © 2023 IEEE.

关键词： Audition

来源：评论

学校读者我要写书评

暂无评论

Stationary Wavelet Transform with Modified Grey Wolf Optimizer for Digital Image Watermarking 3

Stationary Wavelet Transform with Modified Grey Wolf Optimiz...

引用

3rd international conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Parthiban, R. Manikandan, S. Government Arts and Science College Department of Computer Science Thoothukudi Kovilpatti India Government Arts College Pg Department of Computer Science Chidambaram India

ISBN: (纸本)9781665462167

Robust digital image watermarking is a data security system which is extremely utilized for resolving many problems mainly concerned with copyright protection and ownership authentication. Robust watermarking conceals a lesser signal termed a "watermark"in a host image from a procedure imperceptible to human vision. The efficacy of conventional robust watermarking is dependent upon the frequency domain connected directly to the outcomes of performance for imperceptibility and robustness. This study designs a Stationary Wavelet Transform with Modified Grey Wolf Optimizer (SWT- MGWO) for Digital Image Watermarking. The presented SWT- MGWO technique aims to accomplish multimedia security via the watermarking process. To attain this, the presented SWT- MGWO technique initially employs the SWT technique for the image decomposition process. To determine the pixel positions for embedding, the MGWO technique was involved in this study. Besides, the SWT-MGWO technique performs a process of embedding and extraction. The performance validation of the SWT-MGWO technique is validated on a set of benchmark test images and the experimental outcomes represent its superiority in terms of different measures. © 2023 IEEE.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

Applications and Analysis of Factory Production Using computer vision 23

Applications and Analysis of Factory Production Using Comput...

引用

23rd international conference on Machine Learning and Cybernetics, ICMLC 2024

作者： Shao, Zhong-Ping Tang, Cheng-Yuan Wu, Yi-Leh Huafan University Department of Mechatronic Engineering New Taipei Taiwan Huafan University Department of Technology for Smart Living New Taipei Taiwan National Taiwan University of Science and Technology Department of Computer Science and Information Engineering Taipei Taiwan

ISBN: (纸本)9798331528041

The integration of computer vision technology into factory production offers significant improvements in efficiency, quality, and safety. This study explores the applications and benefits of multi-camera systems and AI models in monitoring and analyzing production processes. Key applications include quality control, process optimization, worker safety, and preventive maintenance. By utilizing real-time data, these technologies enhance product quality, optimize operations, and prevent accidents. Despite challenges such as occlusion, varying illumination, and the need for robust AI models, advancements in 3D point clouds and AI frameworks like YOLOS and Google Mediapipe show preliminary and promising results. This research demonstrates the transformative potential of computer vision in modernizing traditional manufacturing, leading to more efficient, safer, and higher-quality production environments. Future work will focus on refining these technologies and developing prototype systems for widespread industrial application. © 2024 IEEE.

关键词： Preventive maintenance

来源：评论

学校读者我要写书评

暂无评论

Detection of defects on the end face of small motor bearings based on machine vision 3

Detection of defects on the end face of small motor bearings...

引用

3rd international conference on Machine vision, Automatic Identification, and Detection, MVAID 2024

作者： Xie, Xiaobo Xi, Haixu Guo, Dan Jiangsu University of Science and Technology 1801 Zhongwu Avenue Jiangsu Province Changzhou213001 China

ISBN: (纸本)9781510681880

This paper focuses on the detection and identification of defects on the end faces of small motor bearings. Bearing defects significantly impact the performance and lifespan of motors, and traditional manual inspection methods suffer from low efficiency and high miss rates. This paper proposes the use of machine vision and image processing techniques to enhance the speed, efficiency, and reliability of detection. The study includes the analysis of common defect types on bearing end faces, the selection of industrial cameras and vision lighting, as well as image preprocessing and edge detection. By improving the YOLOv5 algorithm, the detection performance for small and medium-sized targets on bearing end faces is optimized. Moreover, a supervisory software for bearing defect detection has been designed to achieve more effective processing and statistical analysis of detection results. The primary goal of the research is to enhance the accuracy and automation level of detection, reduce the risk of omissions in manual inspections, and improve detection efficiency through the advancement of deep learning-based target detection algorithms. This research holds significant importance for the technological progress and production efficiency improvement in the small motor bearing industry. © 2024 SPIE.

关键词： Inspection

来源：评论

学校读者我要写书评

暂无评论

CAMShift-Based Moving Object Tracking System 3

CAMShift-Based Moving Object Tracking System

引用

3rd IEEE international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Du, Shaoheng Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9798350398410

Moving object tracking is the process of locating a moving target over time in sequential video frames, and it is an essential research topic in the field of computer vision. As a well-established and efficient algorithm for kernel-based object tracking, CAMShift performs well with simple moving objects, but it is not robust in more complex situations. To overcome the defects in the process of tracking moving objects, a combination of CAMShift and Kalman Filter is widely used in industrial applications and practices. A CAMShift-based tracking system with Kalman Filter-based track window prediction is presented in this paper. When the camera is moving or the object is occluded, the velocity of the moving object is used by Kalman Filter to provide a prediction of the tracking window. Both the original CAMShift-based tracker and the hybrid system are evaluated by the LaSOT benchmark. The results show that the hybrid tracking system has a better success rate on certain categories of objects and situations than the original CAMShift tracker. © 2023 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Occluded-based Facial Recognition under mask using Deep learning method 3

Occluded-based Facial Recognition under mask using Deep lear...

引用

3rd international conference on computer vision, Image and Deep Learning and international conference on computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Wang, Haoyu Wei, Guanhua Xu, Haoning Zhang, Chong Computer Science and Technology Guangzhou Huashang College Guangzhou511300 China Guilin University of Electronic Technology Major in Network Engineering Beihai536000 China Hainan Tropical Ocean University Computer Science and Technology Sanya572022 China Tiangong University Information Management and Information System Tianjin300387 China

ISBN: (纸本)9781665459112

At present, under the epidemic prevention and control, face recognition is facing the problem of masks. The traditional face recognition system dataset is composed of a face without mask pictures, and when the mask wearers need to do the face recognition, they have to take off the mask, which makes the epidemic situation environment increase the burden of prevention and control. Therefore, effectively improving the efficiency of face recognition under face masking is still a difficult point in the recognition system. In this paper, we aim to conduct facial mask detection to detect the person with or without the mask. Three steps are included in our method, including facial detection, adding mask and facial detection with mask. To achieve this goal, we aim to use MTCNN and FaceNet as the main components of our method. Our method can achieve 76.42% accuracy among all the data. The results on both real and generated dataset validate the effectiveness of out method. © 2022 IEEE.

关键词： Face recognition

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 << < 47 48 49 50 51 52 53 54 55 56 > >>

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：