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

5,983 篇 会议
96 册 图书
50 篇 期刊文献

馆藏范围

6,129 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4,625 篇 工学
- 3,484 篇 计算机科学与技术...
- 1,992 篇 软件工程
- 1,944 篇 控制科学与工程
- 677 篇 信息与通信工程
- 656 篇 电气工程
- 534 篇 机械工程
- 393 篇 生物工程
- 309 篇 生物医学工程（可授...
- 292 篇 光学工程
- 256 篇 仪器科学与技术
- 229 篇 电子科学与技术（可...
- 156 篇 力学（可授工学、理...
- 154 篇 材料科学与工程（可...
- 153 篇 化学工程与技术
- 149 篇 建筑学
- 142 篇 土木工程
- 140 篇 交通运输工程
- 139 篇 安全科学与工程
- 133 篇 动力工程及工程热...
1,574 篇 理学
- 722 篇 数学
- 513 篇 物理学
- 428 篇 生物学
- 205 篇 统计学（可授理学、...
- 174 篇 化学
- 155 篇 系统科学
883 篇 管理学
- 670 篇 管理科学与工程(可...
- 322 篇 工商管理
- 298 篇 图书情报与档案管...
263 篇 医学
- 240 篇 临床医学
- 205 篇 基础医学(可授医学...
136 篇 法学
125 篇 经济学
117 篇 教育学
58 篇 农学
34 篇 军事学
7 篇 文学
4 篇 艺术学

主题

345 篇 artificial intel...
163 篇 accuracy
148 篇 deep learning
126 篇 robots
116 篇 machine learning
103 篇 internet of thin...
94 篇 mobile robots
91 篇 real-time system...
88 篇 robot sensing sy...
88 篇 feature extracti...
79 篇 training
73 篇 technological in...
72 篇 computational mo...
70 篇 object detection
70 篇 optimization
67 篇 motion planning
64 篇 convolutional ne...
62 篇 data models
59 篇 three-dimensiona...
58 篇 reinforcement le...

机构

41 篇 chitkara univers...
29 篇 school of comput...
23 篇 uttaranchal inst...
22 篇 maharishi school...
22 篇 harbin inst tech...
18 篇 college of intel...
17 篇 centre of interd...
15 篇 univ chinese aca...
15 篇 xi an jiao tong ...
15 篇 school of comput...
15 篇 school of electr...
13 篇 uttaranchal univ...
12 篇 school of inform...
11 篇 school of comput...
11 篇 sr university sc...
10 篇 school of comput...
10 篇 university of sc...
10 篇 shandong institu...
10 篇 university of ch...
10 篇 school of comput...

作者

22 篇 myung hyun
19 篇 kim jong-hwan
17 篇 lima jose
14 篇 zhang xu
14 篇 zheng nanning
11 篇 majeed anwar p. ...
11 篇 ju zhaojie
11 篇 zhang xianmin
10 篇 pereira ana i.
10 篇 baltes jacky
9 篇 wu xinyu
9 篇 matson eric t.
9 篇 wang wei
9 篇 wang xin
9 篇 wang nianfeng
9 篇 guan yisheng
9 篇 zhang yang
8 篇 wang lei
8 篇 zhao jie
8 篇 sincak peter

语言

5,720 篇 英文
393 篇 其他
24 篇 中文
1 篇 西班牙文

检索条件"任意字段=3rd International Conference on Robot Intelligence Technology and Applications"

共 6129 条记录，以下是201-210 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：

Research on Fault Detection technology of Inspection robot Based on Electric Power Big Data Platform and Target Detection Algorithm 24

Research on Fault Detection Technology of Inspection Robot B...

引用

3rd international conference on Frontiers of Artificial intelligence and Machine Learning (FAIML)

作者： Li, Shuying Hohai Univ Business Coll Nanjing Jiangsu Peoples R China

ISBN: (纸本)9798400709777

In order to improve the accuracy of foreign object recognition of transmission line in inspection robot operation and maintenance, a fault detection method based on improved YOLOv7 is proposed. On the basis of the popular object detection network YOLOv7, this method introduces the CA attention mechanism, and combines it with YOLOv7 by embedding CA attention mechanism into the connection part of feature extraction network and feature fusion network, so as to improve the detection effect of the model. The experimental results show that when the attention mechanism is embedded in the same position, the mPA of YOLOv7 model with CA attention mechanism is improved by 1.67%, 1.69%, 0.26%, and 1.54% compared with the original YOLOv7 model and the model with SEnet, CBAM, Conformer and other attention mechanisms. When embedding the same attention mechanism, YOLOv7 model with attention mechanism embedded the connection between feature extraction network and feature fusion network has a 2.68% higher mPA compared to the model with attention mechanism embedded at the connection position between feature fusion network and final detection part of YOLO head, and its performance has been significantly improved. Compared with classical target detection models such as Faster-RCNN and Mobilnet and popular target detection models such as YOLOv5 and C-YOLOv5, the improved YOLOv7 model proposed in this paper has better detection results in all categories of foreign body detection, and mPA is increased by 10.98%, 20.72%, 3.33% and 2.01%, respectively. It has good detection performance and is worthy of further research.

关键词： Fault detection Electric power big data platform Target detection Attention mechanism Foreign body image

来源：评论

学校读者我要写书评

暂无评论

Applying Artificial intelligence and Deep Learning to Identify Neglected Tropical Skin Disorders 3

Applying Artificial Intelligence and Deep Learning to Identi...

引用

3rd international conference for Innovation in technology, INOCON 2024

作者： Pattnayak, Parthasarathi Mohanty, Arpeeta Das, Tulip Patnaik, Sanghamitra Kiit Deemed to Be University School of Computer Applications Bhubaneswar India Kiit Deemed to Be University School of Computer Engineering Bhubaneswar India Sri Sri University Faculty of Emerging Technologies Cuttack India Kiit Deemed to Be University School of Law Bhubaneswar India

ISBN: (纸本)9798350381931

Visual inspection plays a significant role in the identification of skin diseases, albeit it is not the only method. Teledermatology techniques are thus particularly suitable for the diagnosis and treatment of these disorders. In vision tasks, deep learning (DL), a subset of machine learning (ML) and/or artificial intelligence (AI), has produced outstanding results. There has been few research in this field, and even fewer that have focused on dark skin, despite the growing interest in using this technology to improve diagnostics for neglected tropical diseases affecting the skin (skin NTDs). In this work, we used clinical photos to create AI models based on deep learning. In order to determine whether or not various models with training patterns can increase diagnosis accuracy. The five skin NTDs in which data were gathered were yaws, scabies, mycetoma, leprosy, and Buruli ulcer. © 2024 IEEE.

关键词： Diagnosis

来源：评论

学校读者我要写书评

暂无评论

Object substitution-based contextual domain randomization for generating neural network training data 3

Object substitution-based contextual domain randomization fo...

引用

3rd international conference on Image Processing and robotics, ICIPRoB 2024

作者： Teoh, Wen Kang Mizuuchi, Ikuo Tokyo University of Agriculture and Technology Department of Bio-Functions and Systems Science Tokyo Japan

ISBN: (纸本)9798350374766

Domain randomization is a data synthesis approach for training neural network models on synthetic images for the purpose of generalization to real-world images through randomizing parameters of the rendering process such as lighting, backgrounds, object poses, and object textures, leading to improved performance in image-based neural network applications. Domain randomization increases the amount of variability in synthetic data to match the amount of variability that exists in real-world data. In this paper, we present a novel substitution-based domain randomization approach, object substitution-based contextual domain randomization (OSCDR), that preserves the contextual and structural integrity of real-world data. This approach is expected to enable the synthesis of cheap, high quality, and highly variable datasets for image-based neural network applications, including but not limited to object detection and localization, autonomous driving, and robot navigation. © 2024 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Cognitive radio spectrum technology: history, basic principles and applications 3

Cognitive radio spectrum technology: history, basic principl...

引用

3rd international conference on Electronics technology and Artificial intelligence, ETAI 2024

作者： Teng, Junyi Maynooth International Engineering College Fuzhou University Fuzhou China

ISBN: (纸本)9781510683143

Cognitive radio technology is a new communication technology to cope with the increasing demand and inefficient use of radio spectrum. This paper summarizes the historical development of CR technology, from its initial concept to the present research status and shortcomings. This paper mainly introduces spectrum detection and allocation technology in CR network and some applications of CR technology in real life. This paper makes up for the lack of review papers on the development and application of the latest spectrum technology of CR in recent years. In terms of future challenges, this paper analyzes the environmental and ethical issues faced by this technology in recent years, some research bottlenecks in 6G technology and some breakthroughs in the field of satellite communication. © 2024 SPIE.

关键词： Cognitive radio

来源：评论

学校读者我要写书评

暂无评论

Contextual Aware AI Translation Models in Cross Language Information Retrieval 3

Contextual Aware AI Translation Models in Cross Language Inf...

引用

3rd international conference on Data Analytics, Computing and Artificial intelligence, ICDACAI 2024

作者： Wu, Yu Xu, Na Department of Foreign Languages Dalian University of Science and Technology Liaoning Dalian China

ISBN: (纸本)9798331519032

With the acceleration of globalization, the demand for cross-language information retrieval is increasing. The traditional machine translation technology has some limitations, and it is difficult to accurately capture the semantic differences between the source and target languages. In this study, an artificial intelligence translation model based on context-awareness is proposed. The model utilizes deep learning technology to improve the accuracy and fluency of translation by establishing the semantic correspondence between the source and target languages while considering the contextual information of the text. The study adopts a large-scale parallel corpus for model training and evaluation, and conducts comparative experiments with traditional translation models. The experimental results show that compared with the traditional translation model, the context-aware AI translation model proposed in this study has significant improvements in all performance indexes. The model not only performs well in the laboratory environment, but also shows great promise in practical applications. In the future, we will further optimize the model architecture and extend it to more languages to provide more powerful support for cross-lingual information acquisition. © 2024 IEEE.

关键词： Machine translation

来源：评论

学校读者我要写书评

暂无评论

Research and Application of Block Chain technology in Electronic Certificate Service System 3

Research and Application of Block Chain Technology in Electr...

引用

3rd international conference on Artificial intelligence and Computer Information technology, AICIT 2024

作者： Zhu, YiXuan Shen, Bin He, XiaoLong Xu, WenDuo He, HongTao School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798350365443

The existing electronic certificate service systems suffer from issues such as inconsistent standards, non-sharing of certificate data, and smooth inter-departmental usage, which hinder the further application of electronic certificates. This article introduces blockchain technology and IPFS technology into the electronic certificate service system and designs a new electronic certificate service system. Blockchain technology enhances the security, reliability, and privacy of the electronic certificate service system through decentralized storage, immutability, traceability, and privacy protection. IPFS technology, on the other hand, reduces operational costs and optimizes data distribution through cross-institutional collaboration and data sharing. By combining these two technologies, the new electronic certificate service system can provide safer, more efficient, and convenient certificate management. After testing, the electronic certificate service system designed in this article has high feasibility and practical value in real-world applications. Through further optimization and improvement, the system is expected to provide the public with more convenient and efficient services. © 2024 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Kinematics Analysis and Modelling Based on 4 DOF Industrial robot 3

Kinematics Analysis and Modelling Based on 4 DOF Industrial ...

引用

2023 3rd international conference on Artificial intelligence and Industrial technology applications, AIITA 2023

作者： Wei, Yuli Lanzhou Resources & Environment Voc Tech University Lanzhou China

With the rapid progress of science and technology, industrial manufacturing and processing technology have also developed rapidly. Industrial robots are widely used in many industrial fields. In this paper, based on the familiarity with the structure and principle of the 4 DOF industrial robot, combined with the virtual simulation platform, the kinematics analysis, modelling, and simulation of the 4 DOF industrial robot are studied. Firstly, the structure of the 4 DOF industrial robot is analyzed, the coordinate transformation is studied, and the coordinate transformation simulation is designed. Secondly, D-H parameter modeling and modelling simulation are achievements. Finally, the kinematic analysis and modeling are completed, and some research results are obtained. © Published under licence by IOP Publishing Ltd.

关键词： Industrial robots

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Network (CNN) for Fake Logo Detection: A Deep Learning Approach Using TensorFlow Keras API and Data Augmentation 3

Convolutional Neural Network (CNN) for Fake Logo Detection: ...

引用

3rd international conference on Artificial intelligence For Internet of Things, AIIoT 2024

作者： Murali, Saritha Gupta, Vaishnavi Saha, Soumyojyoti Sharan, Harsh Sinha, Prajwal Baibhav, Kumar Vellore Institute of Technology Department of Database Systems Vellore India Vellore Institute of Technology School of Computer Science and Engineering Vellore India

ISBN: (纸本)9798350372120

In numerous applications, including image retrieval, brand monitoring, and counterfeit identification, the detection and categorization of logos play pivotal roles. This study proposes a novel methodology employing convolutional neural networks (CNNs) for discerning fraudulent logos. The CNN's structure involves several convolutional layers at its core, accompanied by max-pooling layers to extract features for classification. Training the CNN model involves a varied dataset containing both authentic and fake logo images, and its effectiveness is assessed using well-established metrics like accuracy, precision, recall, and F1-score. The results of the study indicate that the proposed model is proficient in distinguishing counterfeit logos accurately. Furthermore, the study delves into potential applications and future directions of using CNN for identifying counterfeit logos. This research presents a robust methodology for counterfeit logo detection, thereby supporting endeavors aimed at curtailing the proliferation of counterfeit goods and upholding brand integrity. © 2024 IEEE.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

An improved leader-follower control for simultaneous positioning and formation in a multi-robot cooperative dance 3

An improved leader-follower control for simultaneous positio...

引用

3rd international conference on New Materials, Machinery, and Vehicle Engineering, NMMVE 2024

作者： Wang, Qingzhen Zhang, Yan Zhengzhou Key Laboratory of Electromechanical Intelligence Zhengzhou University of Science and Technology China Henan Industry and Trade Vocational College China

ISBN: (纸本)9781510686267

Traditional leader-follower methods have addressed the formation issues in multi-robot cooperative dance, but often neglect synchronization and positioning, leading to suboptimal coordination. To enhance dynamic formations for dance performances, this paper proposes an improved leader-follower algorithm utilizing wireless communication and infrared transceivers for controlling robot formations. Simulation experiments demonstrate that the proposed method achieves smoother velocity changes, faster convergence, and more accurate path planning compared to traditional approaches when multiple robots dance together. The experimental results validate the effectiveness and excellence of the proposed algorithm in solving the synchronization, localization and dynamic formation challenges in multi-robot dancing scenarios. © 2024 SPIE.

关键词： Multipurpose robots

来源：评论

学校读者我要写书评

暂无评论

Neural Command: Real-Time EEG-Based Brain-Computer Interface for Assistive robotic Control 3

Neural Command: Real-Time EEG-Based Brain-Computer Interface...

引用

3rd IEEE international conference on robotics, Automation, Artificial-intelligence and Internet-of-Things, RAAICON 2024

作者： Vasker, Nishat Shakib Sakibur Rahman, M.D. Arafat, Yasin Ul Islam, Raihan East West University Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798331534400

This paper presents a method to help people with disabilities interact with their surroundings using brainwave signals. Since individuals with disabilities often depend on different types of transportation, this research focuses on enabling the real-time control of a robotic vehicle through non-invasive brain-computer interfaces (BCI).Can brain-computer interfaces (BCIs) based on EEG signals control a robotic car in real time? The MUSE headband is used to capture brain waves, and the signals are processed through PETAL metrics and a server within a Brain Wave Processing Unit. Subsequently, they are transmitted via WiFi/IPv4 to a Vehicle Control Unit with esp8266 microcontroller. The system underwent rigorous evaluation, achieving an 85% control accuracy and an average response time of 300 milliseconds. These results highlight the system's effectiveness in real-time applications, offering precise and rapid response capabilities suitable for assistive technology. This research represents a contribution to the development of advanced BCI-based assistive devices, demonstrating the potential for improved human-machine interaction. The high accuracy and low latency of the system emphasize its suitability for environments where swift and reliable control is crucial, particularly for individuals with mobility impairments. © 2024 IEEE.

关键词： Human robot interaction

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 << < 17 18 19 20 21 22 23 24 25 26 > >>

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：