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

1,859 篇 会议
6 册 图书
1 篇 期刊文献

馆藏范围

1,866 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,367 篇 工学
- 1,251 篇 计算机科学与技术...
- 999 篇 软件工程
- 317 篇 生物工程
- 314 篇 信息与通信工程
- 189 篇 生物医学工程（可授...
- 164 篇 控制科学与工程
- 125 篇 电气工程
- 118 篇 光学工程
- 83 篇 机械工程
- 74 篇 化学工程与技术
- 66 篇 网络空间安全
- 64 篇 安全科学与工程
- 53 篇 电子科学与技术（可...
- 48 篇 仪器科学与技术
751 篇 理学
- 395 篇 数学
- 325 篇 生物学
- 166 篇 统计学（可授理学、...
- 150 篇 物理学
- 134 篇 系统科学
- 83 篇 化学
442 篇 管理学
- 249 篇 管理科学与工程(可...
- 227 篇 图书情报与档案管...
- 128 篇 工商管理
177 篇 医学
- 165 篇 临床医学
- 158 篇 基础医学(可授医学...
- 117 篇 药学(可授医学、理...
- 65 篇 公共卫生与预防医...
79 篇 教育学
- 79 篇 教育学
74 篇 法学
- 67 篇 社会学
50 篇 农学
- 49 篇 作物学
45 篇 经济学
4 篇 军事学

主题

328 篇 machine learning
128 篇 deep learning
77 篇 support vector m...
66 篇 machine learning...
55 篇 forecasting
47 篇 feature extracti...
37 篇 decision trees
37 篇 accuracy
35 篇 computational mo...
34 篇 computer vision
31 篇 predictive model...
30 篇 training
29 篇 data mining
28 篇 students
28 篇 convolutional ne...
26 篇 neural networks
22 篇 object detection
22 篇 artificial intel...
21 篇 sentiment analys...
20 篇 internet of thin...

机构

12 篇 chitkara univers...
7 篇 shenyang ligong ...
6 篇 uttaranchal inst...
5 篇 department of co...
5 篇 maharishi school...
5 篇 alibaba cloud bi...
4 篇 school of comput...
4 篇 college of compu...
4 篇 key laboratory o...
4 篇 lovely professio...
4 篇 jilin agricultur...
4 篇 uttaranchal univ...
4 篇 key laboratory o...
4 篇 department of co...
4 篇 master of comput...
4 篇 school of inform...
3 篇 school of comput...
3 篇 vivekananda glob...
3 篇 department of el...
3 篇 college of compu...

作者

4 篇 liu gang
4 篇 kumar rakesh
4 篇 waseemullah
4 篇 liu peng
3 篇 zhang tao
3 篇 kumar ajay
3 篇 rakesh kumar
3 篇 babu tina
3 篇 siddhant
3 篇 sharma arun
3 篇 faisal rehman
3 篇 wang xiaofei
3 篇 sharif hanan
3 篇 singh sunil kuma...
3 篇 rehman faisal
3 篇 tina babu
3 篇 yang wei
3 篇 sharma avinash
3 篇 prajwal
3 篇 vinay kukreja

语言

1,802 篇 英文
62 篇 其他
15 篇 中文

检索条件"任意字段=3rd International Conference on Machine Learning and Computer Application, ICMLCA 2022"

共 1866 条记录，以下是151-160 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：

Mix3D Data Augmentation Enhanced RandLA-Net for Large-Scale Point Cloud Semantic Segmentation 3

Mix3D Data Augmentation Enhanced RandLA-Net for Large-Scale ...

引用

3rd international conference on machine learning and computer application, icmlca 2022

作者： Ding, Junfeng Guo, Shengchao Li, Mingyuan Zhou, Jian Chen, Xuan Chen, Lei State Grid Jiangsu Electric Power Co. LTD Nanjing China Nanjing University of Posts and Telecommunications Nanjing China State Grid Jiangsu Electric Power Co. Ltd. Extra-High Voltage Branch Company Nanjing China

ISBN: (纸本)9781510664814

3D point cloud semantic segmentation is one of the key technologies for fast 3D modeling of digital twins. To address the overfitting problem of the large-scale semantic segmentation model RandLA-Net, this paper proposes an improved RandLA-Net method based on Mix3D data augmentation. RandLA-Net is a high-volume, large-perception field model that can directly capture the contextual information of the entire 3D scene, while 3D datasets tend to be more expensive due to data sampling and labeling, often the number of scenes is small and the variance within the data is small, RandLA-Net can easily learn the overly strong contextual prior on the training set, and the model may show poor generalization ability when reasoning in realistic scenes. By introducing Mix3D to mix the two scenes to generate new training samples and implicitly place the object instances in the new contextual environment, the RandLA-Net model no longer relies solely on the scene context to infer semantic labels, but instead infer from the local structure, balancing the role of global context and local structure information in model inference and effectively reducing the overfitting of the training set context. The overfitting of the training set context is effectively reduced. Experimental results on several datasets show that our approach results in a 1.3% and 0.6% mIoU improvement of the RandLA-Net model on Semantic3D and S3DIS datasets. © 2023 SPIE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Prediction of Peak Shear Strength of Joints Based on machine learning Algorithms 3

Prediction of Peak Shear Strength of Joints Based on Machine...

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： Shen, Hui Liu, YaQun Li, HaiBo Xia, Xiang Liu, Bo Yu, Chong Institute of Rock and Soil Mechanics Chinese Academy of Sciences State Key Laboratory of Geomechanics and Geotechnical Engineering Hubei Wuhan China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665459112

The peak shear strength of rock joints is closely related to the normal stress, the roughness of the joint surface, and the mechanical properties of the material. Based on the published data, three machine learning (ML) algorithms, including Support Vector machine (SVM), BP Neural Network (BPNN), and Random Forest (RF) are used to established regression models for predicting the peak shear strength of joints. 10-fold cross-validation is adopted to evaluate the performance of three ML models. In addition, three empirical peak shear strength models are selected for comparison with the ML models. Compared to the empirical models, we find that the ML models predict the peak shear strength with higher accuracy and lower error, indicating that the ML models perform better. Finally, the parameter analysis is performed to evaluate the influence of input parameters and the robustness of the ML models. © 2022 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Research on Power Line Carrier Communication Channel Modeling for Power Distribution and Consumption IoT 3

Research on Power Line Carrier Communication Channel Modelin...

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： Shi, Zhan Lu, Jiangang Li, Bo Guangdong Power Grid Co. Ltd. Power Dispatching Control Center Communication Management Department Guangdong China

ISBN: (纸本)9781665459112

The information interaction in power distribution and consumption internet of things (IoT) requires high-speed, reliable and secure communication support. Power line carrier (PLC) communication provides an effective solution due to the low construction cost, wide coverage, and high transmission rate. However, the performance of PLC is effected by multipath fading, noise, and electromagnetic interference. Therefore, it is necessary to research on the PLC channel modeling. In this paper, three PLC channel modeling methods based on transmission line theory, graph theory, and machine learning are researched, which can achieve relatively accurate channel estimation and low error values between the estimated and the measured values. © 2022 IEEE.

关键词： machine learning

来源：评论

学校读者我要写书评

暂无评论

application of Video Analysis Based on Mobile Edge Computing 3

Application of Video Analysis Based on Mobile Edge Computing

引用

3rd IEEE international conference on computer and Communications (ICCC)

作者： Rao, Zhuoyi Guo, Zhigang BUPT Sch Informat & Commun Engn Beijing Key Lab Network Syst Architecture & Conve Beijing Peoples R China

ISBN: (纸本)9781509063529

Mobile Edge Computing (MEC) provides cloud computing capabilities within the access network, which can offer better service combined with applications those need ultra-low latency and large calculation. In this paper, we discuss the detection and recognition models in different scenarios and develop the video analysis application with fusion model to improve the recognition accuracy based on the MEC platform-WiCloud. Test and verify the application's performance in the service environment with low latency and high-bandwidth provided by the WiCloud.

关键词： MEC SDN feature detection machine learning Gaussian Mixture Model

来源：评论

学校读者我要写书评

暂无评论

A Survey of the Development of Artificial Intelligence Technology 3

A Survey of the Development of Artificial Intelligence Techn...

引用

3rd international conference on Unmanned Systems (ICUS)

作者： Li, Zhi Wang, Yilin Ji, Yunfang Yang, Wenyu Beijing HIWING Sci & Technol Informat Inst Beijing Peoples R China

ISBN: (纸本)9781728180250

Artificial intelligence technology is currently a hot spot for research and application, and the new cross-technology formed by artificial intelligence and multiple technologies has been widely used in Internet, finance, security and other industries. This paper first introduces the development of artificial intelligence, and then analyzes the key technologies of artificial intelligence, including computer vision, machine learning, natural language processing, human-computer exchange, virtual reality, biometric recognition, etc. Finally, the development trend of artificial intelligence technology is described.

关键词： artificial intelligence computer vision machine learning natural language processing virtual reality

来源：评论

学校读者我要写书评

暂无评论

On application of Natural Language Processing in machine Translation 3

On Application of Natural Language Processing in Machine Tra...

引用

3rd international conference on Mechanical, Control and computer Engineering (ICMCCE)

作者： Zong, Zhaorong Hong, Changchun Huangshan Univ Sch Foreign Languages 39 Xihai Rd Tunxi Dist Anhui Peoples R China

ISBN: (纸本)9781538684818

Natural language processing is the core of machine translation. In the history, its development process is almost the same as machine translation, and the two complement each other. This article compares the natural language processing of statistical corpora with neural machine translation and concludes the natural language processing: Neural machine translation has the advantage of deep learning, which is very suitable for dealing with the high dimension,label-free and big data of natural language, therefore, its application is more general and reflects the power of big data and big data thinking.

关键词： natural language processing machine translation decoding

来源：评论

学校读者我要写书评

暂无评论

Plant Disease Detection Using machine learning Techniques 3

Plant Disease Detection Using Machine Learning Techniques

引用

3rd international conference for Emerging Technology, INCET 2022

作者： Varshney, Divyanshu Babukhanwala, Burhanuddin Khan, Javed Saxena, Deepika Singh, Ashutosh Kumar Nit Kurukshetra Department of Computer Application Haryana India

ISBN: (纸本)9781665494991

Plant diseases may have a major impact on food safety, also a considerable decline in agricultural product output. The great majority of automated systems developed thus far are based on digital pictures, allowing for the rapid deployment of algorithms. The difficulty of autonomous illness identification in plants has been solved using traditional machine learning approaches such as (SVM) support vector machines, Multilayer Perception Neural Networks, and Decision Trees. The focus of this article was on leaf plant disease. A new plant leaf disease detection technique has been developed that is based on a transfer learning methodology such as deep learning, where CNN is employed as a feature extractor and SVM is used for classification. A benchmark dataset called PlantVillage was used to assess the evaluation of the proposed model. The suggested model was examined and compared to current methodologies, and it outperformed previous work, achieving an 88.77 percent training accuracy. © 2022 IEEE.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

machine learning Approach for Cloud Computing Security 3

Machine Learning Approach for Cloud Computing Security

引用

3rd international conference on Intelligent Engineering and Management, ICIEM 2022

作者： Garima Quraishi, Suhail Javed Chandigarh University Department of Computer Science and Engineering Punjab Mohali India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

The fast proliferation of Cloud Computing affects the way an industrial application is designed, delivered, and deployed. This acceptance of Cloud Computing has massive repercussions for the IT sector and associated industries since it does not only alter the customers' business models but also the other midfielders in the enterprise *** the constant enhancement of the domain comes the responsibility to maintain the security of the cloud data and retreat ways to threats that may be encountered *** paper intends on discovering the potential security issues, threats, and attacks that individuals or an organization may experience while working on cloud or other distributed computing architecture and how it can be dealt with by employing technology like machine *** have explored numerous machine learning approaches that are utilized to tackle cloud security challenges covering supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Whereupon, we evaluated the efficiency and draw a comparison for every approach based on its characteristics, benefits, and shortcomings. Furthermore, we highlight potential research paths to safeguard cloud frameworks. © 2022 IEEE.

关键词： computer architecture

来源：评论

学校读者我要写书评

暂无评论

A Bayesian Network application in Occupational Health and Safety 3

A Bayesian Network Application in Occupational Health and Sa...

引用

3rd international conference on computer Science and Engineering (UBMK)

作者： Pekel, Ebru Aksehir, Z. Duygu Meto, Bilal Akleylek, Sedat Kilic, Erdal Ondokuz Mayis Univ Dept Comp Engn Samsun Turkey Ronesans Holding Ankara Turkey

ISBN: (纸本)9781538678930

With the development of technology, there has been an increase in production and the number of accidents has increased. Progressive technology, the development of the industry and the lack of protective precaution, and the responsibility for the uneducated employees are the main causes of work accidents. In this study, the types of injuries in work accidents and the effects of the injuries on the body are analyzed via Bayesian Networks (BNs). The BNs reflect the conditional dependency relations between variables and, the fact that they are not dependent on a single independent variable. BNs are constructed on a dataset from an international construction company. The accuracy rate and other performance measures of the constructed Bayesian network are analyzed and the effectiveness of the constructed model is analyzed. According to the experimental results, it's explicit that some cases of job accidents can be predicted beforehand with high accuracies by using machine learning techniques.

关键词： Bayesian network classification machine learning accident

来源：评论

学校读者我要写书评

暂无评论

application of computer-based support vector machine technology in power customer credit rating 3

Application of computer-based support vector machine technol...

引用

3rd international conference on computer Science and Management Technology, ICCSMT 2022

作者： Xiao, Lan Wu, Yan Fu, Xiao Zhang, Ziwen Xiao, Yuhao State Grid Sichuan Information & Telecommunication Company Chengdu610000 China

ISBN: (纸本)9798350320404

With the rapid development of the times, the field of computer technology is becoming wider and wider. In view of the research status of customer risk management in electric power enterprises, this paper establishes a customer risk assessment model based on computer support vector machine, and does some research work on the analysis and prediction of power customer credit. The experiment shows that the statistical learning method based on computer support vector machine can evaluate the credit of electric power customers, help electric power enterprises to select high-quality customers, and provide decision-making basis for electric power enterprises to actively prevent and avoid marketing risks. © 2022 IEEE.

关键词： Support vector machines

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187页 << < 12 13 14 15 16 17 18 19 20 21 > >>

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：