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
217 册 图书
188 篇 期刊文献

馆藏范围

18,811 篇 电子文献
3 种 纸本馆藏

日期分布

学科分类号

13,438 篇 工学
- 9,747 篇 计算机科学与技术...
- 6,612 篇 软件工程
- 3,603 篇 控制科学与工程
- 2,471 篇 信息与通信工程
- 2,304 篇 电气工程
- 1,741 篇 光学工程
- 1,517 篇 机械工程
- 1,118 篇 生物工程
- 909 篇 电子科学与技术（可...
- 864 篇 生物医学工程（可授...
- 785 篇 仪器科学与技术
- 574 篇 动力工程及工程热...
- 543 篇 交通运输工程
- 513 篇 安全科学与工程
- 499 篇 材料科学与工程（可...
- 454 篇 化学工程与技术
- 349 篇 土木工程
- 335 篇 网络空间安全
5,368 篇 理学
- 2,366 篇 物理学
- 2,288 篇 数学
- 1,231 篇 生物学
- 598 篇 统计学（可授理学、...
- 589 篇 系统科学
- 449 篇 化学
2,423 篇 管理学
- 1,722 篇 管理科学与工程(可...
- 830 篇 图书情报与档案管...
- 687 篇 工商管理
1,096 篇 医学
- 972 篇 临床医学
- 561 篇 基础医学(可授医学...
- 362 篇 药学(可授医学、理...
364 篇 法学
259 篇 经济学
253 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

1,582 篇 computer vision
370 篇 deep learning
314 篇 computer archite...
282 篇 cameras
255 篇 object detection
253 篇 computational mo...
237 篇 control systems
236 篇 computer science
220 篇 image segmentati...
211 篇 feature extracti...
209 篇 internet of thin...
187 篇 access control
173 篇 machine vision
158 篇 neural networks
137 篇 artificial intel...
133 篇 face recognition
130 篇 process control
130 篇 real-time system...
129 篇 data mining
128 篇 support vector m...

机构

47 篇 chitkara univers...
46 篇 school of comput...
43 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

16,844 篇 英文
1,863 篇 其他
133 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 18814 条记录，以下是1001-1010 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：

Comprehensive Approaches to Agricultural Intelligence: U-Net, YOLO, and Random Forest in Practice 3

Comprehensive Approaches to Agricultural Intelligence: U-Net...

引用

3rd international conference on Communication, control, and Intelligent Systems, CCIS 2024

作者： Gavas, Saharsh Kosamkar, Pranali Pune India Dr. Vishwanath Karad Mit World Peace University Dept Computer Engineering and Technology Pune India

ISBN: (纸本)9798331528201

This paper seeks to implement and test advanced precision agricultural monitoring and detection systems derived from machine learning, remote sensing, and sensor technologies to improve pest detection, crop yields assessment, and animal husbandry management practices. The approach involves an automated and hierarchical framework integrating cutting edge machine learning technologies with fine spatial resolution remote sensing images and sensors. For instance, the authors apply CNN (convolutional neural networks) for pest identification;the deep learning models trained on Sentinel-2 images serve as yield predictors;UWB location coordinates and accelerometric measures combined form livestock behavior monitoring. This methodology encompasses the stages of implementation, testing and finally verification of the model. A variety of machine learning systems such as Faster-PestNet or deep semantic segmentation algorithms process data while remote sensing and the sensors' data were used in predictions and classifications. This allows using different performance measures such as accuracy, precision recall rates and RMSE (root mean square error) to test the systems. © 2024 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Trajectory Tracking control of Autonomous Vehicles based on Improved Model-free Adaptive control 3

Trajectory Tracking Control of Autonomous Vehicles based on ...

引用

3rd international conference on Testing Technology and Automation Engineering, TTAE 2023

作者： Wang, Wanting Wang, Siming Han, Taoguo School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China College of Computer and control engineering Northeast Forestry University Harbin150000 China

ISBN: (纸本)9781510674769

This paper presents a novel approach to address the lateral control issue in trajectory tracking for autonomous cars. Traditional model-free adaptive control algorithms have some limitations, prompting the development of an enhanced data-driven model-free adaptive control scheme. More precisely, inside a specified trajectory, the vehicle's issue of lateral control is converted into a problem of tracking the preview-deviation-angle. A dynamic linearized data model is developed for the lateral control of autonomous cars, taking into account the input and output data. To enhance the steering angle control rate, a time-varying proportional control term is incorporated. An enhanced trajectory tracking control technique for the MFAC system is proposed, followed by a demonstration of its convergence. The simulation findings demonstrate that the IMFAC scheme exhibits a superior output response compared to both MFAC and PID in both low-speed and high-speed scenarios. Furthermore, the IMFAC system is capable of achieving autonomous vehicle path tracking. © 2024 SPIE.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Research on multimodal relation extraction method based on contrast learning 3

Research on multimodal relation extraction method based on c...

引用

3rd international conference on Electronic Information Engineering, Big Data, and computer Technology, EIBDCT 2024

作者： Zhao, Jingsheng Ni, Qihui Yan, Shuai Zhu, Qiaoming School of Information and Control Engineering Qingdao University of Technology Qingdao Shandong266000 China School of Computer Science and Technology Suzhou University Suzhou Jiangsu215006 China

ISBN: (纸本)9781510680449

Traditional relation extraction methods are usually based on single text data, and other modality information such as image and video can improve the effect of text relation extraction. Aiming at the problem of heterogeneity between multi-modal data, a multi-modal relation extraction model MRECL based on contrastive learning is constructed. Firstly, the feature representation of image and text is obtained through ViT and BERT models;secondly, contrastive learning is introduced to align image-text features to reduce modality heterogeneity in advance;then image is used as prefix guidance information, and multi-modal interaction fusion is carried out with text information through attention mechanism;finally, the probability of all relation classification is calculated through Softmax layer and the prediction relation is output. Experimental results show that the precision, recall, and F1 values of MRECL on the MNRE dataset reach 83.23%, 82.19%, and 82.70%, respectively, achieving better performance than the current SOTA model. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

ADNet: A neural network model for adversarial example detection based on steganalysis and attention mechanism 3

ADNet: A neural network model for adversarial example detect...

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： Zhang, Xinrui Wang, Yong Beijing University of Technology College of Computer Science and Technology Beijing China

ISBN: (纸本)9781665459112

The vulnerability of deep learning to adversarial attacks has brought many security risks to its development. However, the currently proposed adversarial attack detection methods are ineffective in defending large-size images. Studies have shown that detection methods based on steganalysis have apparent advantages in defense of large-scale adversarial examples. Still, their detection results are very dependent on the quality of manually extracted features. This paper proposes an end-to-end convolutional neural network (CNN) model based on steganalysis for adversarial examples detection. We found that adversarial attacks tend to embed perturbations in high-texture regions. To focus more on vulnerable areas during feature learning, we use the original image as information to learn the attention distribution, which improves the model's accuracy. And an adversarial loss function is proposed to fine-tune the model so that the normal images and adversarial examples are more separated in the spatial distribution, reducing the probability of misclassifying normal images. Experiments show that this model has a high defense effect against the current state-of-the-art attack methods. © 2022 IEEE.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

Investigation of Intelligent Methodologies in Prediction of Depression 3

Investigation of Intelligent Methodologies in Prediction of ...

引用

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

作者： Chintapalli, Meenakshi Kanugula, Navya Nagisetti, Laalithya Abhishek Varma, V. Iwin Thanakumar Joseph, S. Bindu, G. Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Guntur522302 India

ISBN: (纸本)9781665462167

Depression is one of the most common mental illnesses that can cause subsequently several health disorders among human population across the globe. The cause of depression or stress among individual might be different and it is highly challenge to predict the person who undergoes depression or stress. It is analysed that 3.8% of entire human population (approximately 280 million and above) suffered due to depression that degrades their regular activities day by day. It is highly crucial to detect the depression at the earlier stage to save the life of the person failing which it leads to death too. Recently, deep learning and machine learning algorithms played a predominant role in efficient prediction, detection and recognition in various applications. This research article mainly focusses on investigation of various intelligent methodologies used for predicting depression among various peer groups, prime factors that leads to depression and also the measures to control depression effectively. © 2023 IEEE.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

Flower Classification Based on Improve VGG Networks with Attention 3

Flower Classification Based on Improve VGG Networks with Att...

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： Huo, Jiahao Qiao, Sijie Qian, Qicong Yang, Jiaxi School of Architectural Engineering Jinling Institute of Technology Nanjing China Xidian University School of Computer Science and Technology Xi'an China Wuhan University of Technology School of Naval Architecture Ocean and Energy Power Engineering Wuhan China Luoyang Normal University School of Information Technology Luoyang China

ISBN: (纸本)9781665459112

This paper mainly introduces an improved flower recognition method based on improved VGG Networks. There are problems with the existing flower recognition system. For example, recognition accuracy is poor for flowers with a similar appearance. Also, the model they use usually takes a long time for training. This study took into account the characteristics of the project and used the Mobile Network that is more lightweight than most of the other networks they normally used. In this case, this study ameliorates the network by adding the attentional mechanism. The proposed model adjusts the network architecture according to the learning results and expectations during the training process. The experiments show that the proposed model with the integration of the MobileNet is more accurate and efficient than other networks. The improved model with attention mechanism can be generalized to new flower datasets and correctly identify flower species in a noisy background, making it practical to apply the model in daily life. © 2022 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

An improved multi-resolution 2D/3D registration method 3

An improved multi-resolution 2D/3D registration method

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： Cao, Yipei He, Fei Qu, Feng Wang, Tiejun Yang, Chen Shi, Weili Jiang, Zhengang Changchun University of Science and Technology School of Computer Science and Technology Changchun China Zhongshan Institute of Changchun University of Science and Technology Zhongshan China The First Hospital of Jilin University Department of Orthopaedic Traumatology Changchun China The First Hospital of Jilin University Bone and Joint Surgery Changchun China

ISBN: (纸本)9781665459112

2D/3D image registration is one of the key technologies to realize pose estimation in computer-aided surgery. In order to improve the global and local search performance of the model in the pose parameter space, an improved multi-resolution 2D/3D registration method is proposed in this paper. Firstly, aiming at the problem that the intensity-based similarity measure is not sensitive to small offset between images, the gradient information with strong sensitivity to image texture edge is introduced, and the Intensity and Gradient Weighted Correlation (IGWC) coefficient similarity measure is proposed;Secondly, aiming at the problem of slow convergence of global optimization algorithm and small capture range of local optimization algorithm, a global-local combined registration optimization strategy is proposed. The experimental results show that this method improves the registration accuracy and success rate. © 2022 IEEE.

关键词： Numerical methods

来源：评论

学校读者我要写书评

暂无评论

Research on Question Answering System Based on BERT Model 3

Research on Question Answering System Based on BERT Model

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： Yin, Jie Jiangsu University of Science and Technology School of Computer ZhenJiang China

ISBN: (纸本)9781665459112

The core of natural language processing is the science of how computers understand and respond to the influence of human language. This is also the main research direction in the field of machine intelligence development. Question answering system is one of the development directions. How to make the answer of question answering system more intelligent is the focus of research in recent years. Based on this, this thesis proposes a question answering system based on the BERT model that combines the co-attention mechanism and the self-attention mechanism. In order to better show the representation of questions and articles at their respective semantic levels, this article will choose BERT language to encode them. Attention and fusion are then performed horizontally and vertically at different levels of granularity between questions and paragraphs. Experiments show that the model has an average EM of 46.56 and an average F1 of 58.90 on all datasets. The average F1 for the development dataset is 54.85, and the average F1 for the test dataset is 62.95. The content answered by the question answering system based on the BERT model is basically reasonable, and the intelligence of the question answering system is effectively improved. © 2022 IEEE.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Prediction of rainfall-type debris flow in Jiangjiagou based on LSTM-Attention 3

Prediction of rainfall-type debris flow in Jiangjiagou based...

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： Gao, Yuan Li, Yingna Kunming University of Science and Technology College of Faculty of Information Engineering and Automation Kunming China Key Laboratory of Computer Technology Application of Yunnan Province Kunming China

ISBN: (纸本)9781665459112

Through the neural network model, the rainfall-type debris flow in Jiangjiagou is predicted. Based on seven meteorological factors with time series characteristics, such as daily rainfall, previous effective rainfall, ground temperature, and humidity, which have been screened by features, the Jiangjiagou rainfall debris flow prediction and early warning model based on LSTM-Attention is constructed. The results show that: (1) LSTM-Attention model is 0.02 higher than that of the Attention-LSTM model, and the prediction effect is better. (2) The prediction accuracy of LSTM-Attention model for Jiangjiagou rainfall-type debris flow can reach 0.88, which is 0.05, 0.07, 0.04, 0.25, 0.13 higher than that of LSTM model, RNN model, RNN-Attention model, SVM model, and BP model, respectively. Research results: It provides a new idea and method for the prediction and research of rainfall-type debris flow, which can be referenced by scholars. © 2022 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Development of Novel-Epoxy-Based Transformer Bushing Insulator for High Breakdown Voltage (BDV) 3

Development of Novel-Epoxy-Based Transformer Bushing Insulat...

引用

3rd international conference on Emerging Trends in Electrical, control, and Telecommunication Engineering, ETECTE 2024

作者： Siddique, Abubakar Akram, Laraib Aslam, Waseem Mishal, Areeba Shahid, Muhammad Usama Ahmed, Haseeb Department of Electrical and Biomedical Engineering Khwaja Fareed University of Engineering and Information Technology Rahim Yar Khan Pakistan Department of Electrical Electronics & Computer Engineering University of Sargodha Sargodha Pakistan

ISBN: (纸本)9798331504861

In today’s trends, nanocomposites have garnered significant interest due to their potential to enhance dielectric properties and be used as insulators. Incorporating nanoparticles into the base epoxy makes achieving highly efficient dielectric materials feasible. However, the low electric field stress management capability and insufficient relative permittivity of typical epoxy provide a hindrance. Efforts have been made to overcome these limitations by adding nanosized fillers with high relative permittivity to the epoxy to enhance the dielectric properties. This research study focuses on the development of Novel-Epoxy-Based Transformer Bushing Insulator using nanomaterial Al2O3 and SiO2. The epoxy resin served as the base material, with nano-fillers added to improve its dielectric properties. The hardener was added to initiate the curing process and create a highly crosslinked structure. Surfactants were introduced to improve the interaction between the epoxy resin and nanoparticles. The nano-silica and nano-alumina particles were combined in different ratio configurations to create the nanocomposites by using the preparation method;Sol-Gel and Green Synthesis, which were subsequently tested for their dielectric properties. The proposed sample is the nanocomposite made by the green synthesis method and with the combination of 0.3 g + 0.3 g of the nanoparticle. Results show improved dielectric strength of the proposed nanocomposites compared to conventional porcelain materials. This paper presents an environment friendly approach for developing epoxy-based transformer bushing insulators, offering enhanced performance. ©2024 IEEE.

关键词： Permittivity

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 << < 97 98 99 100 101 102 103 104 105 106 > >>

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：