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

36,825 篇 会议
803 篇 期刊文献
554 册 图书

馆藏范围

38,181 篇 电子文献
4 种 纸本馆藏

日期分布

学科分类号

28,173 篇 工学
- 16,412 篇 计算机科学与技术...
- 13,243 篇 软件工程
- 4,886 篇 机械工程
- 4,503 篇 控制科学与工程
- 4,428 篇 信息与通信工程
- 3,414 篇 电气工程
- 2,909 篇 电子科学与技术（可...
- 2,231 篇 材料科学与工程（可...
- 2,173 篇 化学工程与技术
- 2,009 篇 生物工程
- 1,885 篇 仪器科学与技术
- 1,850 篇 生物医学工程（可授...
- 1,813 篇 光学工程
- 1,753 篇 动力工程及工程热...
- 1,509 篇 冶金工程
- 1,431 篇 力学（可授工学、理...
- 1,307 篇 土木工程
- 1,068 篇 建筑学
13,559 篇 理学
- 7,038 篇 数学
- 4,266 篇 物理学
- 2,229 篇 生物学
- 1,883 篇 化学
- 1,844 篇 统计学（可授理学、...
- 1,368 篇 系统科学
7,571 篇 管理学
- 5,353 篇 管理科学与工程(可...
- 2,466 篇 图书情报与档案管...
- 2,182 篇 工商管理
1,403 篇 医学
- 1,174 篇 临床医学
- 1,068 篇 基础医学(可授医学...
1,277 篇 教育学
- 1,211 篇 教育学
900 篇 经济学
886 篇 法学
690 篇 农学
371 篇 文学
170 篇 军事学
149 篇 艺术学
11 篇 哲学
6 篇 历史学

主题

642 篇 computer science
526 篇 computational mo...
391 篇 mechatronics
356 篇 deep learning
341 篇 computer archite...
296 篇 scientific compu...
283 篇 support vector m...
267 篇 internet of thin...
256 篇 software enginee...
244 篇 data mining
235 篇 artificial intel...
224 篇 feature extracti...
222 篇 image segmentati...
212 篇 machine learning
212 篇 accuracy
198 篇 training
194 篇 big data
186 篇 application soft...
186 篇 computer vision
178 篇 neural networks

机构

54 篇 school of comput...
52 篇 school of automa...
47 篇 kunming universi...
46 篇 school of comput...
44 篇 college of compu...
44 篇 computer technol...
41 篇 department of co...
41 篇 school of mechat...
37 篇 college of mecha...
36 篇 université de st...
34 篇 università di ca...
34 篇 infn sezione di ...
34 篇 north-west unive...
34 篇 in2p3 lpc campus...
34 篇 institut univers...
34 篇 national centre ...
34 篇 tno technical sc...
33 篇 infn sezione di ...
33 篇 maharishi school...
31 篇 college of compu...

作者

48 篇 liu yang
40 篇 wang jian
39 篇 wang lei
36 篇 li li
35 篇 ferrara g.
35 篇 ardid m.
35 篇 kalekin o.
35 篇 díaz a.f.
34 篇 chen a.
34 篇 benoit d.m.
34 篇 calvo d.
34 篇 gagliardini s.
34 篇 eddymaoui a.
34 篇 gal t.
34 篇 bozza c.
33 篇 zhang lei
33 篇 khatun a.
33 篇 huang f.
33 篇 boumaaza j.
33 篇 coleiro a.

语言

34,596 篇 英文
2,987 篇 其他
742 篇 中文
5 篇 西班牙文
3 篇 俄文
1 篇 捷克文
1 篇 日文
1 篇 葡萄牙文
1 篇 土耳其文

检索条件"任意字段=Scientific Conference on Mechatronics Engineering and Computer Science"

共 38182 条记录，以下是991-1000 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：

Partial Attention-Based Direction-Aware Vehicle Re-identification 18th

Partial Attention-Based Direction-Aware Vehicle Re-identific...

引用

18th International conference on computer science and Education, ICCSE 2023

作者： Zhou, Yujie Yuan, Caihong Su, Chenshuang Zou, Mingdong Zhu, Xiaoke Liang, Wenjuan School of Computer and Information Engineering Henan University Henan Engineering Research Center of Intelligent Technology and Application Henan Province Spatial Information Processing Engineering Technology Research Center Kaifeng China

ISBN: (纸本)9789819707294

With the rapid development of urban transportation, vehicle re-identification has become a focal point in traffic management and vehicle tracking problems. In order to address the problem of small inter-class similarity among vehicles, previous studies utilize vehicle parsing models to extract local features. Therefore, we introduce the Squeeze-and-Excitation attention mechanism to extract important discriminative information from these local features. Furthermore, we propose a local co-occurrence attention mechanism to represent the proportion of common parts feature matching. To address the issue of large intra-class differences caused by vehicle direction change, we propose a lightweight and effective direction weighted fusion strategy. Experiments on two large datasets show that the proposed algorithm performs competitively. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Urban transportation

来源：评论

学校读者我要写书评

暂无评论

Enhanced Neural SLAM with Semantic Segmentation in Dynamic Environments 8

Enhanced Neural SLAM with Semantic Segmentation in Dynamic E...

引用

8th IEEE International conference on Advanced Robotics and mechatronics, ICARM 2023

作者： Shen, Zhengcheng Mao, Minzhe Kastner, Linh Lambrecht, Jens Chair Industry Grade Networks and Clouds Berlin Institute of Technology Faculty of Electrical Engineering and Computer Science Berlin Germany

ISBN: (纸本)9798350300178

Mobile robots face a significant challenge when navigating in dynamic environments such as human crowds. Existing research works typically employ separate data or simulators for dynamic object detection and navigation tasks. This paper combines the photo-realistic simulator Habitat with embedded dynamic objects to create a playground for optimizing vision-based navigation algorithms. To validate our system, we implement and train three approaches - zero masks, image memory inpainting, and semantic map filter - using semantically segmented information. We then implement and evaluate an adapted reinforcement-learning-based SLAM algorithm using the validation Gibson dataset. The results indicate that moderate localization bias occurs when the environment is small and the navigation process is short. However, the error will accumulate over time. Additionally, a dynamic environment leads to less accurate localization. All three approaches can reduce the localization error, while the semantic map filter approach shows the best overall performance. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Modeling Complex Systems with Weighted Multi-agent Hypergraph 7

Modeling Complex Systems with Weighted Multi-agent Hypergrap...

引用

7th IEEE Information Technology and mechatronics engineering conference, ITOEC 2023

作者： Zeng, Tao Tao, Tiwei Fan, Guangjie Wang, Pengfei Ye, Feiye Jiao, Dian Zhang, Qiang Dalian University of Technology School of Computer Science and Technology Dalian China

ISBN: (纸本)9798350334197

The study and analysis of complex systems are confronted with significant challenges due to their inherent adaptability and uncertainty. Traditional modeling techniques focused on individual components of the system are insufficient for capturing the whole character of the system, as complex system structures constantly evolve, leading to non-repetitive outcomes. The unreliability of traditional modeling methods is exacerbated by the unpredictability of complex systems. The limitations of graph-based modeling approaches lie in their reduced capacity to analyze the complex interdependencies among nodes, as well as the low-order and high-order associations that exist between them. The hypergraph weight method, by focusing on the relationships between nodes, captures the unique complex connections of complex systems and provides support for modeling. Therefore, this paper proposes a new approach to model complex systems using hypergraph weights to facilitate multi-agent decision-making. This method enhances the accuracy of analyzing high-order relationships between nodes and improves the precision of complex results. The proposed technique presents innovative ideas and strategies for the intelligent theoretical investigation of complex systems. © 2023 IEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Application of Intelligent Algorithm in Power Load Forecasting and Energy Management 2

Application of Intelligent Algorithm in Power Load Forecasti...

引用

2nd IEEE International conference on Sensors, Electronics and computer engineering, ICSECE 2024

作者： Gao, Huan Zhang, Tingze Liaoning Institute of Science and Engineering Jinzhou China The University of Western Australia Perth Australia

ISBN: (纸本)9798350373646

In this paper, a cloud platform-based power system energy load forecasting method is proposed to improve the efficiency and accuracy of power system energy load forecasting. Firstly, the architecture of distributed power grid data collection system is studied. Secondly, the extreme learning machine is used to predict the daily consumption of a certain area accurately. Experimental results show that the model presented in this paper can solve the problem of power grid energy consumption prediction. The multi-dimensional and multi-level collaborative optimization mechanism is integrated into the cloud platform load forecasting business to realize the correction and collaborative optimization of the original forecast data, thus greatly improving the smart grid load forecasting capability in the cloud environment. The platform architecture thus built will provide broad ideas and powerful technical support for smart grid load forecasting. This paper provides a scientific basis for power management and dispatching departments to make dispatch plan and operation control strategy in time. © 2024 IEEE.

关键词： Cloud platforms

来源：评论

学校读者我要写书评

暂无评论

Egocentric Visual Locomotion in a Quadruped Robot 24

Egocentric Visual Locomotion in a Quadruped Robot

引用

8th International conference on Electronic Information Technology and computer engineering, EITCE 2024

作者： Xiao, Feng Chen, Ting Li, Yong College of Mechanical and Electrical Engineering Fujian Agriculture and Forestry University Fujian Fuzhou China Department of Marxism Fujian Police College Fujian Fuzhou China Department of Public Security Fujian Police College Fujian Fuzhou China

ISBN: (纸本)9798400710094

In recent years, with the rapid development of robotics and computer technology, more and more robots have been integrated into people’s lives. In nature, quadrupeds use vision to perform precise and flexible movements. Imitating their vision-based motor skills has been a long-standing challenge in the field of robotics. In this work, we designed an egocentric visual-motor framework that employs techniques such as Long Short-Term Memory Neural Networks (LSTMs), Reinforcement Learning Algorithms (PPOs), and Learning by Cheating to model visual-motor policies. We achieved completely model-free policies by end-to-end training of sensor-action neural networks. Using Unitree Robotics’ latest quadrupedal robot, Go2, as a training agent and trained in Nvidia’s Isaac Gym simulation environment, the visually-based motion policy showed a 12.43% increase in average survival rate and a 7.6% decrease in the average number of collisions compared to a proprioceptive-only policy. Additionally, the temporally-informative LSTM estimation module exhibited an average survival rate increase of 8.58% and a 9.8% decrease in the average number of collisions compared to the MLP module. © 2024 Copyright held by the owner/author(s).

关键词： Multipurpose robots

来源：评论

学校读者我要写书评

暂无评论

Organic Farming Automation to Revolutionize the Agricultural Industry Than Traditional Farming Practices Using IOT and Technological Development

Organic Farming Automation to Revolutionize the Agricultural...

引用

International conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2023

作者： Geetha Rani, E. Chalasani, Ramadevi Anusha, D. Dhanalakshmi, M. Vadlamudi, Sandyarani Department of Computer Science Engineering Alliance University Karnataka Bengaluru India Department of Computer Science Engineering Sir C R Reddy College of Engineering Andhra Pradesh Eluru India Department of CSE-Artificial Intelligence and Machine Learning SRKIT Andhra Pradesh Vijayawada India Department of Computer Science Engineering NHCE Karnataka Bengaluru India Department of Aritficial Intelligence and Machine Learning New Horizon College of Engineeing Karnataka Bengaluru India

ISBN: (纸本)9789819746491

Agriculture has remained the spine of human sustenance on earth. Since times unknown, humans have learned and developed methods to produce food and other resources for their livelihood. Agriculture has seen large developments, especially in the last century. scientific methods have accelerated the process of agriculture to a large extent. These developments have improved productivity by leaps and bounds. Though these developments come with a lot of benefits, they also include several demerits that adversely affect the soil, humans, and livestock. To retain and multiply the benefits contributed by this scientific development and to overcome the demerits and challenges faced in today’s agricultural practices, this paper aims at discussing methodologies that can be used to build an agricultural model that is much simpler and more efficient. The model aims at automation using IoT that could lead to minimized labor efforts by almost refraining human intervention in agricultural practices. Machine learning algorithms can be used for weather and soil-based crop detection for better productivity. The downside caused due to the use of synthetic chemicals can be overcome using organic methods. A web portal to facilitate direct producer-to-consumer retail can be deployed to curb the exploitation of farmers by the elimination of middlemen. Hence, the paper aims at developing an agricultural model based on IoT, machine learning, organic farming, and a web portal for direct producer-to-consumer retail. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Performance Measurement of Popular Sorting Algorithms Implemented using Java and Python

Performance Measurement of Popular Sorting Algorithms Implem...

引用

2022 International conference on Electrical, computer, Communications and mechatronics engineering, ICECCME 2022

作者： Durrani, Omar Khan Abdulhayan, Sayed Ghousia College of Engneering Dept. T of Computer Science & Engineering Ramanagara India P A College of Engineering Dept. T of Computer Science & Engineering Mangalore India

ISBN: (数字)9781665470957

ISBN: (纸本)9781665470957

In modern technology where disciplines like data sciences, data Analytics, and machine learning are emerging and infrastructure being set for Internet of things, important operations like sorting and searching plays a vital role. Hence efficient sorting along with searching is still important for the efficiency of other algorithms. These emerging areas are using fourth generation languages(4GL) and fifth generation languages(5GL) languages for its implementation. Also, it is seen fever analysis is made on algorithms using 4GL languages though there exist sufficient analysis and results using languages like C, C++. In this paper we have made a thorough asymptotic analysis and performance measures using Python and Java languages. We conducted our experiments on Pseudo random data for average case analysis and sorted(descending) data for worst case analysis. The research shows that Merge sort doing well for its Python implementation instead of Quick sort which very much lacks in its Performance. Quicksort remains excellent in performance for Java implementation. © 2022 IEEE.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Agro-vision IoT-enabled Crop Pest Recognition System based on VGG-16 2

Agro-vision IoT-enabled Crop Pest Recognition System based o...

引用

2nd International conference on Multidisciplinary engineering and Applied science, ICMEAS 2023

作者： Udeogu, Chigozie Uzochukwu Nwakanma, Cosmas Ifeanyi Ayoade, Idowu Adetona Amadi, Chimeremma Sandra Eze, Udoka Felista University of Maryland Electrical Computer Engineering College ParkMD United States Kumoh National Institute of Technology ICT Convergence Research Center Gumi Korea Republic of First Technical University Mechatronics Engineering Ibadan Nigeria Federal University of Technology Information Technology Owerri Nigeria

ISBN: (纸本)9798350358834

It is more difficult to implement recognition of crop pests in the field than the generic object recognition task because of the high variation among crop pest species which usually leads to the misclassification of crop pests from the same class. Furthermore, in deploying these recognition systems to the field, intensive hardware setups are mostly used. To improve the recognition accuracy, this paper proposes an IoT-enabled crop pest recognition system (CPRS) that utilizes Visual Geometry Group (VGG-16) which uses the multi-level learning features obtained from pest images for the automatic classification of crop pests. The Accuracy result of 88.72% obtained validates the reliability and robustness of the proposed method as capable of detecting the presence of pests in different leaf image samples. © 2023 IEEE.

关键词： Crops

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence Powered Strategies to Enhance the Competitiveness of Healthcare Institutions in Uzbekistan 9

Artificial Intelligence Powered Strategies to Enhance the Co...

引用

9th International conference on science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Furqatovich, Islombek Umirov Musoqulo'g'li, Rabbimov Mukhriddin Karshievna, Usmanova Dilafruz Ananth, Christo Kumar, T. Ananth Samarkand Branch of Tashkent State University of Economics Uzbekistan Samarkand State University Named After Sharaf Rashidov Uzbekistan Samarkand State University Uzbekistan Samarkand State University Uzbekistan Ifet College of Engineering Computer Science And Engineering Tamilnadu India

ISBN: (纸本)9798350365092

The fast advancement of artificial intelligence (AI) technology has provided substantial potential for healthcare businesses looking to increase their competitiveness in an ever-changing environment. This abstract examines the key ways for using artificial intelligence to address these difficulties. The scientific study investigates the primary directions for boosting medical organizations' competitiveness through the development some of the things that were talked about were making services more efficient, and creating an expansion of online healthcare for remote areas and the medical center. This study investigates the primary health concerns and external factors that impacted the growth of medical services in the republic following COVID-19. Recovery from an infectious disease was a paramount concern for the populace during that time period. © 2024 IEEE.

关键词： Competition

来源：评论

学校读者我要写书评

暂无评论

Design of a smart system for monitoring and management of pastures and meadows: The Relational Database Approach 8

Design of a smart system for monitoring and management of pa...

引用

8th International conference on Energy Efficiency and Agricultural engineering, EE and AE 2022

作者： Mladenova, Tsvetelina Valova, Irena Valov, Nikolay University of Ruse Department of Computer Systems and Technologies Ruse Bulgaria University of Ruse Department of Automatics and Mechatronics Ruse Bulgaria

ISBN: (纸本)9781665407090

The rapid development of technologies makes the automation and digitalization of farming a topic of high scientific interest. Solutions based on sensors, communication networks and actuators are offered and applied. The IoT and ICT play a key role in the remote monitoring and management of farms and pastures. This article discusses a system consisting of hardware and software parts that aim to monitor and manage a smart farm. The hardware part of the proposed system is briefly overviewed and a detailed explanation of the software is given. The structure of the database is considered in detail. © 2022 IEEE.

关键词： Agriculture

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 << < 96 97 98 99 100 101 102 103 104 105 > >>

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：