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

15,051 篇 会议
618 册 图书
195 篇 期刊文献

馆藏范围

15,863 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

9,329 篇 工学
- 6,728 篇 计算机科学与技术...
- 3,140 篇 软件工程
- 3,112 篇 控制科学与工程
- 2,060 篇 电气工程
- 953 篇 信息与通信工程
- 861 篇 机械工程
- 816 篇 生物医学工程（可授...
- 645 篇 生物工程
- 483 篇 仪器科学与技术
- 446 篇 光学工程
- 317 篇 电子科学与技术（可...
- 247 篇 化学工程与技术
- 206 篇 力学（可授工学、理...
- 145 篇 材料科学与工程（可...
- 144 篇 土木工程
- 143 篇 安全科学与工程
- 130 篇 交通运输工程
2,662 篇 理学
- 1,535 篇 数学
- 753 篇 物理学
- 732 篇 生物学
- 655 篇 统计学（可授理学、...
- 256 篇 化学
- 231 篇 系统科学
1,415 篇 管理学
- 855 篇 管理科学与工程(可...
- 611 篇 图书情报与档案管...
- 312 篇 工商管理
978 篇 医学
- 864 篇 临床医学
- 370 篇 基础医学(可授医学...
- 226 篇 药学(可授医学、理...
226 篇 法学
- 212 篇 社会学
112 篇 经济学
92 篇 教育学
74 篇 农学
52 篇 艺术学
35 篇 文学
16 篇 军事学
1 篇 哲学

主题

1,490 篇 artificial intel...
1,405 篇 pattern recognit...
715 篇 task analysis
705 篇 feature extracti...
454 篇 robots
445 篇 data mining
386 篇 neural networks
384 篇 training
301 篇 algorithm design...
299 篇 stability analys...
293 篇 deep learning
275 篇 image segmentati...
273 篇 support vector m...
261 篇 pattern analysis
258 篇 pattern classifi...
241 篇 robot sensing sy...
235 篇 legged locomotio...
233 篇 accuracy
227 篇 machine learning
225 篇 conferences

机构

56 篇 university of ch...
53 篇 institute of art...
46 篇 school of artifi...
42 篇 univ chinese aca...
37 篇 univ chinese aca...
35 篇 shenzhen institu...
28 篇 college of artif...
27 篇 national laborat...
26 篇 chinese acad sci...
25 篇 centre for patte...
24 篇 chinese acad sci...
22 篇 institute for pa...
22 篇 institute of aut...
22 篇 harbin inst tech...
21 篇 shenzhen inst ar...
20 篇 xi'an university...
19 篇 concordia univ c...
18 篇 chinese univ hon...
17 篇 univ chinese aca...
17 篇 indian statistic...

作者

38 篇 nanning zheng
35 篇 c.y. suen
28 篇 sami haddadin
27 篇 wu xinyu
26 篇 li guanglin
25 篇 liu cheng-lin
24 篇 suen ching y.
22 篇 xinyu wu
22 篇 ryszard tadeusie...
20 篇 de-shuang huang
19 篇 shafait faisal
19 篇 marcin korytkows...
18 篇 daniela rus
17 篇 jacek m. zurada
17 篇 m. kamel
17 篇 anon
16 篇 napoli amedeo
16 篇 wang wei
16 篇 dengel andreas
15 篇 jianda han

语言

15,003 篇 英文
807 篇 其他
85 篇 中文
1 篇 西班牙文
1 篇 法文
1 篇 俄文

检索条件"任意字段=International Conference on Pattern Analysis and Intelligence Robotics"

共 15864 条记录，以下是191-200 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 dynamic motion pattern recognition and analysis algorithm based on artificial intelligence 4

Research on dynamic motion pattern recognition and analysis ...

引用

4th international Signal Processing, Communications and Engineering Management conference, ISPCEM 2024

作者： Chen, Kequan Zhanjiang University of Science and Technology Zhanjiang China

ISBN: (纸本)9798331528676

This paper focuses on the dynamic motion pattern recognition and analysis algorithm based on artificial intelligence, and proposes an innovative motion pattern recognition method, which combines fast Fourier transform (FFT) and fusion random forest model. Firstly, the motion signal is efficiently transformed from the time domain into the frequency domain through the application of the fast Fourier transform, enabling the extraction of key frequency characteristics, thereby enhancing the recognition capability of the motion pattern. The accuracy and stability of the model are subsequently enhanced by integrating the outputs from multiple decision trees, leveraging the power of the fusion random forest algorithm. In the random forest decision algorithm, the integrated learning strategy is introduced, which realizes the deficiency of single decision tree and further improves the classification performance of motion patterns. The experimental outcomes demonstrate that this method exhibits outstanding performance across various motion pattern recognition tasks, coupled with remarkable real-time capabilities and precision. This research provides a new idea and method for the field of motion pattern recognition, which has important theoretical value and practical application prospect. ©2024 IEEE.

关键词： Random forests

来源：评论

学校读者我要写书评

暂无评论

Research on intelligent line selection and optimization scheme of transmission lines based on big data analysis and artificial intelligence 24

Research on intelligent line selection and optimization sche...

引用

1st international conference on Image Processing Machine Learning and pattern Recognition

作者： He, Chunhui Liu, Haitao Wang, Long Chen, Xiangjia Sun, Yongxin State Grid Shandong Elect Power Co Econ & Technol Res Inst Beijing Peoples R China

ISBN: (纸本)9798400707032

As the wave of data-driven informatization sweeps the world, society is moving from the information age (IT) to the data age (DT). GIS technology has become an important tool for complex regional development and prediction. However, the existing power grid design methods cannot meet the needs of improving production efficiency and controlling engineering costs. This paper proposes an intelligent line selection and optimization scheme for transmission lines based on big data analysis and artificial intelligence. The map model is designed using GIS multi-band raster maps, and data mining technology is used to maximize the application value of multi-factor geographic information data. The reverse dynamic programming algorithm is used for intelligent line selection, and the particle swarm optimization-convolutional neural network (PSO-CNN) model is used for engineering quantity prediction to improve the prediction accuracy and obtain more accurate optimization scheme ranking results. The scheme aims to reduce the design workload, reduce the industry design cost, improve the intelligence and standardization level of transmission and transformation engineering design, and provide strong support for the construction of smart grids.

关键词： artificial intelligence power transmission line intelligent line selection GIS grid map data mining sequential dynamic programming PSO-CNN

来源：评论

学校读者我要写书评

暂无评论

Artificial intelligence for Better Organizational Creativity: Co-occurrence Network analysis towards Emerging Themes

Artificial Intelligence for Better Organizational Creativity...

引用

2023 international conference on the Confluence of Advancements in robotics, Vision and Interdisciplinary Technology Management, IC-RVITM 2023

作者： Kheterpal, Sakshi Chadha, Ashita Chandigarh University Research Scholar Department of Commerce Mohali India Chandigarh University Department of Liberal Arts & Humanities Mohali India

ISBN: (纸本)9798350306088

In this fiercely competitive environment, Creativity recognizes smart efforts over laborious work by incorporating innovative solutions to corporate challenges. Artificial intelligence adoption is gradually modifying the functioning of different business departments that raise creativity levels in the organizations. This paper presents a comprehensive bibliometric analysis of existing literature on the application of AI in fostering business creativity. This study employed a bibliometric approach and systematically reviewed 186 selected documents from Scopus. Results are divided into two parts: descriptive analysis, summarizing the literature on artificial intelligence and creativity and bibliometric analysis, including keyword analysis which reveals the emerging trends such as knowledge management, decision support systems, learning systems, operational research, computational creativity and so on. This paper recommends valuable insights to academicians in the future researches. © 2023 IEEE.

关键词： Knowledge management

来源：评论

学校读者我要写书评

暂无评论

Engineering Distributed Collective intelligence in Cyber-Physical Swarms 20

Engineering Distributed Collective Intelligence in Cyber-Phy...

引用

20th Annual international conference on Distributed Computing in Smart Sensor Systems and the Internet of Things (DCOSS-IoT)

作者： Aguzzi, Gianluca Savaglio, Claudio Univ Bologna Cesena Italy Univ Calabria Calabria Italy

ISBN: (纸本)9798350369458;9798350369441

Cyber-physical swarms represent a paradigm shift in distributed systems, mirroring characteristics akin to natural swarms, such as self-organization, scalability, and fault tolerance. This paper delves into these complex systems, characterized by vast networks of cyber-physical entities with limited environmental awareness, yet capable of exhibiting emergent collective behaviors. These systems encompass a diverse array of scenarios, ranging from swarm robotics to the interconnectivity in smart cities, as well as the collaboration among augmented humans. The engineering of such systems presents unique challenges, primarily due to their intricate complexity and the spontaneous nature of their collective behaviors. This paper aims to dissect these challenges, offering a clear delineation of potential approaches. We present a comprehensive analysis, shedding light on the intricacies of engineering cyberphysical swarms and discussing modern solutions in engineering collective applications for such systems.

关键词： distributed collective intelligence large-scale IoT collective computing aggregate computing

来源：评论

学校读者我要写书评

暂无评论

An Innovative Approach to Glass Classification Using Deep Neural Network 3

An Innovative Approach to Glass Classification Using Deep Ne...

引用

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

作者： Rahman, Md Shohanur Sultana, Tania Islam, Wahid Tausif Rifat Ahmed Khan, Md. Daffodil International University Department of CSE Dhaka Bangladesh American International University Bangladesh Department of CSE Dhaka Bangladesh

ISBN: (纸本)9798331534400

A novel method for classifying glasses using deep neural networks is presented. The study uses data from the USA Forensic Science Service to classify six different varieties of glass according to their oxide level. The dataset is carefully cleaned up using preprocessing methods like Min-Max Scaling and Label Encoding to improve data quality and make it more neural network architecture compatible. The deep neural network model performs admirably in this difficult task, correctly categorizing glass samples with an accuracy of 81.40%. The analysis of the results shows that different varieties of glass behave differently, pointing out both areas of strength and improvement. In the future, the work may entail investigating more sophisticated deep learning techniques including transfer learning and attention processes, as well as broadening the dataset to include a greater range of glass samples. Moreover, validation tests conducted in the actual world and the model's implementation in industrial settings may offer important new perspectives on its usefulness. In general, this study advances automated glass categorization methods, which may have consequences for activities related to environmental sustainability, product creation, and quality assurance in a variety of sectors. © 2024 IEEE.

关键词： Data quality

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-Based Adaptation of Robot Behaviour for Assistive robotics 33

Deep Learning-Based Adaptation of Robot Behaviour for Assist...

引用

33rd IEEE international conference on Robot and Human Interactive Communication (IEEE RO-MAN) - Embracing Human-Centered HRI

作者： Stolarz, Michal Romeo, Marta Mitrevski, Alex Ploeger, Paul G. Hsch Bonn Rhein Sieg Inst Artificial Intelligence & Autonomous Syst A2 Autonomous Syst Grp St Augustin Germany Heriot Watt Univ Sch Math & Comp Sci Edinburgh Midlothian Scotland

ISBN: (纸本)9798350375039;9798350375022

Robot behaviour models in socially assistive robotics are typically trained using high-level features, such as a user's engagement, such that inaccuracies in the feature extraction can have a significant effect on a robot's subsequent performance. In this paper, we study whether a behaviour model can be meaningfully represented using an end-to-end approach, where multimodal input, concretely visual data and activity information, is directly processed by a neural network. This paper concretely analyses the different building blocks of such a model, such that the aim is to identify a suitable architecture that can meaningfully combine the different modalities for guiding a robot's behaviour. We conduct the analysis in the context of a sequence learning game, such that we compare different vision-only models that are then combined with an activity processing network into a joint multimodal model. The results of our evaluation on a dedicated dataset from the sequence learning game demonstrate that a multimodal end-to-end behaviour model has potential for assistive robotics - we report an F-1 score of around 0.88 across different dataset-based test scenarios - but the real-life transferability strongly depends on whether the data is diverse enough for capturing meaningful variations in real-world scenarios, such as users being at different distances from a robot.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Plant-Wide Process Incipient Fault Detection via Double-Layer Subspace Weighted Moving Window Reconstruction ICA 11

Plant-Wide Process Incipient Fault Detection via Double-Laye...

引用

11th IEEE international conference on Cybernetics and Intelligent Systems (CIS) / 11th IEEE international conference on robotics, Automation and Mechatronics (RAM)

作者： Song, Bing Song, YiMeng Shi, Hongbo Jiang, QingChao East China Univ Sci & Technol Key Lab Adv Control & Optimizat Chem Proc Minist Educ Shanghai Peoples R China

ISBN: (纸本)9798350364200;9798350364194

With the widespread use of distributed systems, multi-subspace whole-flow industrial monitoring methods are evolving. However, due to the lack of distinctive features, incipient faults in plant-wide processes are more difficult to detect. To improve the detection rate of incipient faults in plant-wide processes while maintaining the generality of the algorithm, a novel double-layer subspace weighted moving window reconstruction independent component analysis (DS-WRICA) method is proposed. In DS-WRICA, process variables are first divided into different subspaces based on process knowledge and data-driven partitioning methods. Secondly, a weighted moving window is used to increase the offset of incipient faults, and monitoring statistics are constructed by combining optimized reconstructed independent component analysis (RICA) and local outlier factor (LOF) in each subspace. Then, the monitoring statistics in each subspace are fused with information by Bayesian inference fusion method to obtain distributed monitoring results. Finally, the effectiveness and superiority of the DS-WRICA method are verified by industrial examples.

关键词： Data driven plant-wide process incipient fault detection distributed system weighted moving window reconstructed independent component analysis

来源：评论

学校读者我要写书评

暂无评论

Design and analysis of a Multi-panel Solar Array with Struts 17th

Design and Analysis of a Multi-panel Solar Array with Struts

引用

17th international conference on Intelligent robotics and Applications

作者： Ren, Shouzhi Liu, Ying Cui, Wenyan Guan, Shuai Jia, Wenwen Ren, Zhouyi Beijing Inst Spacecraft Syst Engn Beijing 100094 Peoples R China Univ Sci & Technol Beijing Sch Mech Engn Beijing 100083 Peoples R China

ISBN: (纸本)9789819607709;9789819607716

The solar array is a crucial energy source for satellites. Considering the trend towards miniaturization and rapid maneuverability in satellite technology, solar arrays must balance stowage efficiency and stiffness. This study first conducted an analysis of the structural features of high-stiffness solar arrays. Then, based on the practical requirements of a specific satellite, an innovative solar array design was proposed. This design incorporates a multi-panel Solar Array with Struts, specifically using three struts and two springs to stabilize and reinforce the outer panel among the two solar panels, thereby significantly enhancing the stiffness of the solar array. This paper conducts a finite element analysis model of the solar array to analyze its fundamental frequency in the deployed state. Additionally, a rigid-flexible multibody dynamics simulation model was established to facilitate a comprehensive understanding of the solar array deployment process. The simulation results validate the rationality and superiority of the design. Furthermore, this paper provides a comprehensive summary of the research and presents professional recommendations for designing high-stiffness solar arrays, to offer valuable references and insights for future related studies

关键词： solar array multi-panel strut high stiffness

来源：评论

学校读者我要写书评

暂无评论

Mechanism design and performance analysis of tracked pipe robot 6

Mechanism design and performance analysis of tracked pipe ro...

引用

6th international conference on robotics, Intelligent Control and Artificial intelligence, RICAI 2024

作者： Wang, Shuhai Zhang, Nanfeng Jin, Biao Li, Qingan College of Mechanical and Electrical engineering Guangdong University of Science & Technology Guangdong Dongguan523083 China

ISBN: (纸本)9798331541699

Pipeline robot is a kind of system that can automatically walk along the pipeline, with one or more sensors and operation machinery (such as manipulator, spray gun, etc.), under the remote control or automatic control of the operator, can carry out a series of pipeline operations machine-electric-instrument integrated system. It is often used in petroleum, chemical industry, nuclear industry, urban construction and other engineering pipeline quality inspection, welding, maintenance and so on. Pipeline robot is also a combination of multiple disciplines, involving mechanical engineering, automatic control, computers, sensors, artificial intelligence and electronic technology. At present, the development of pipeline robot mainly focuses on the innovation and development of mechanism, drive, sensors, intelligent control, miniaturization, power supply and communication. Based on the scientific research achievements at home and abroad, this paper systematically studied the driving principle and mode, movement principle and mechanical mechanism of the pipeline robot. Main work for the institutional research design of pipeline robots. Based on the comprehensive consideration of various factors, the pipeline robot mobile mechanism is determined, and points out the main problems that should be considered when designing the robot. © 2024 IEEE.

关键词： Nuclear industry

来源：评论

学校读者我要写书评

暂无评论

Communication Interchange For Artificial intelligence Systems

Communication Interchange For Artificial Intelligence System...

引用

international conference on Computing, Networking and Communications (ICNC)

作者： Voicu, Razvan Cristian Pande, Aarush Kaunteya Tanveer, Muhammad Hassan Chang, Yusun Kennesaw State Univ Dept Robot & Mechatron Engn Atlanta GA 30339 USA

ISBN: (纸本)9798350371000;9798350370997

The rise and proliferation of Artificial intelligence (AI) technologies are bringing transformative changes to various sectors, signaling a new era of innovation in fields as diverse as medicine, manufacturing, and even day-to-day social interactions. Notable advancements are not just confined to textual understanding, as seen in models like GPT, but also extend to visual cognition through image recognition and more. Beyond surface interactions and predictions, AI finds profound applications in life-saving domains such as medical diagnostics and becomes an integral part of daily life through chatbot-based customer interactions. However, as the horizon of AI expands, a crucial yet often overlooked aspect emerges- the underlying mission-critical infrastructure required to support and deploy these models effectively. The intricacies of efficient communication systems, foundational for real-time AI model operations, take center stage in ensuring the seamless functioning of AI-driven applications. This paper explores the quintessential changes needed in communication paradigms to keep pace with the evolving AI landscape. Specifically, we highlight the pivotal role of multipath communication in enhancing the responsiveness and efficiency of AI applications [1]. As a case in point, we investigate its impact on mission-critical operations in robotics. Through experimentation and analysis, the results elucidate the substantial benefits of this approach, revealing a significant improvement in delay metrics. This work underscores the imperative of aligning communication systems with the ever-growing demands of AI, ensuring that infrastructural capabilities do not lag in the race for innovation.

关键词： Artificial intelligence (AI) Programmable Networking Parallel Communication Centralized - Distributed Systems Real-time Control Multipath Communication AI Infrastructure

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 << < 16 17 18 19 20 21 22 23 24 25 > >>

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：