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

7,090 篇 会议
47 篇 期刊文献
39 册 图书

馆藏范围

7,176 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4,912 篇 工学
- 4,098 篇 计算机科学与技术...
- 2,520 篇 软件工程
- 1,048 篇 信息与通信工程
- 789 篇 控制科学与工程
- 663 篇 生物工程
- 642 篇 电气工程
- 424 篇 生物医学工程（可授...
- 285 篇 交通运输工程
- 281 篇 机械工程
- 226 篇 仪器科学与技术
- 226 篇 安全科学与工程
- 206 篇 建筑学
- 197 篇 动力工程及工程热...
- 185 篇 光学工程
- 166 篇 化学工程与技术
- 154 篇 土木工程
1,899 篇 理学
- 1,065 篇 数学
- 717 篇 生物学
- 442 篇 统计学（可授理学、...
- 285 篇 物理学
- 252 篇 系统科学
- 140 篇 化学
1,151 篇 管理学
- 655 篇 管理科学与工程(可...
- 582 篇 图书情报与档案管...
- 315 篇 工商管理
407 篇 医学
- 353 篇 临床医学
- 297 篇 基础医学(可授医学...
- 188 篇 药学(可授医学、理...
244 篇 教育学
- 243 篇 教育学
211 篇 法学
- 197 篇 社会学
119 篇 农学
111 篇 经济学
50 篇 文学
7 篇 艺术学
5 篇 军事学

主题

557 篇 machine learning
456 篇 deep learning
269 篇 training
253 篇 data mining
240 篇 data models
220 篇 feature extracti...
218 篇 accuracy
184 篇 support vector m...
178 篇 predictive model...
138 篇 neural networks
137 篇 machine learning...
133 篇 computational mo...
131 篇 reinforcement le...
108 篇 convolutional ne...
103 篇 real-time system...
92 篇 forecasting
90 篇 artificial intel...
89 篇 learning systems
88 篇 transfer learnin...
86 篇 big data

机构

69 篇 chitkara univers...
17 篇 school of electr...
15 篇 computer science...
14 篇 harbin engineeri...
13 篇 graphic era hill...
12 篇 building civil a...
12 篇 uttaranchal inst...
12 篇 computer science...
11 篇 university of ch...
10 篇 school of electr...
10 篇 school of comput...
10 篇 graphic era deem...
10 篇 school of electr...
10 篇 yonsei univ dept...
9 篇 wuhan university...
9 篇 univ chinese aca...
9 篇 school of inform...
8 篇 school of remote...
7 篇 university of sa...
7 篇 microsoft resear...

作者

17 篇 kukreja vinay
15 篇 vinay kukreja
13 篇 yin hujun
12 篇 liu yang
12 篇 corchado emilio
11 篇 mehta shiva
10 篇 shiva mehta
10 篇 hujun yin
10 篇 cho sung-bae
9 篇 notsu akira
9 篇 silva catarina
9 篇 alhajj reda
7 篇 ksieniewicz pawe...
7 篇 hammer barbara
7 篇 zhang byoung-tak
7 篇 wozniak michal
7 篇 hussain abir
7 篇 soubra hassan
7 篇 huang de-shuang
7 篇 camacho david

语言

6,194 篇 英文
971 篇 其他
31 篇 中文
1 篇 西班牙文
1 篇 俄文

检索条件"任意字段=11th International Conference on Intelligent Data Engineering and Automated Learning"

共 7176 条记录，以下是4161-4170 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：

Application of Two-Class Neural Network-based classification model to predict the onset of thyroid Disease

Application of Two-Class Neural Network-based classification...

引用

international conference on Confluence the Next Generation Information Technology Summit (Confluence)

作者： Tabrej Khan Faculty of Computing and Information Technology Rabigh King Abdulaziz University Jeddah Saudi Arabia

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

A machine learning technique to diagnose thyroid disease via proper analysis is a major classification problem. the thyroid organ is an important part of our body. It helps to control our metabolism. Less amount of thyroid hormone causes hypothyroidism, and more amount of thyroid hormone causes hyperthyroidism. therefore, the current work objective was to build a machine learning-based classification model to classify samples with thyroid disease from a publically available dataset. the classes were labeled as healthy and thyroid disease with many explanatory variables. A class balancer, namely Synthetic Minority Oversampling Technique (SMOTE), was used to balance the minority class (thyroid disease) in the dataset. In this work, filter-based feature selection algorithms, specifically mutual information in conjunction with a two-class Neural Network (NN) classifier, was used with Azure Machine learning tools to construct a predictive model. Our proposed two-class NN model build using selected features in association with SMOTE performed better than other recent ML models with an F1Score (0.982), precision (0.968), recall (0.995), and accuracy (0.981), respectively.

关键词： Machine learning Artificial neural networks Predictive models Tools Biochemistry thyroid Diseases

来源：评论

学校读者我要写书评

暂无评论

A Novel Method to Solve the Separation Problem of LDA 11th

A Novel Method to Solve the Separation Problem of LDA

引用

11th IFIP TC 12 international conference on intelligent Information Processing, IIP 2020

作者： Zhang, Meng Li, Wei Zhang, Bo School of Mechatronic Engineering China University of Mining and Technology Xuzhou221116 China School of Computer Science and Technology China University of Mining and Technology Xuzhou221116 China

ISBN: (纸本)9783030469306

Linear discriminant analysis (LDA) is one of the most classical linear projection techniques for feature extraction, widely used in kinds of fields. Classical LDA is contributed to finding an optimal projection subspace that can maximize the between-class scatter and minimize the average within-class scatter of each class. However, the class separation problem always exists and classical LDA can not guarantee that the within-class scatter of each class get its minimum. In this paper, we proposed the k-classifiers method, which can reduce every within-class scatter of classes respectively and alleviate the class separation problem. this method will be applied in LDA and Norm LDA and achieve significant improvement. Extensive experiments performed on MNIST data sets demonstrate the effectiveness of k-classifiers. © 2020, IFIP international Federation for Information Processing.

关键词： Discriminant analysis

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of intelligent Control System for Green Building 11

Design and Implementation of Intelligent Control System for ...

引用

11th international conference on Measuring Technology and Mechatronics Automation (ICMTMA)

作者： Gao, Dehao Liao Ning Jian Zhu Vocat Coll Liaoyang 111000 Peoples R China

ISBN: (纸本)9781728121659

To meet the demands of users in green building and to reduce the learning cost by intelligent control system, this paper establishes the overall design framework of intelligent control system for green building, and formulates the specific implementation scheme of system hardware and software, as well as the overall control strategy of the system. We use Kingview and Zigbee ad hoc network technology to establish wireless sensor network, to transmit and store all kinds of sensor data. RS485 bus is adopted to realize switch control of household equipment and irrigation solenoid valve, and Modbus-RTU protocol is used to realize system monitoring and control. then, the temperature control subsystem based on fuzzy-PID control algorithm is established according to the relevant theory of the fuzzy-PID control algorithm, and the simulation experiment is completed in MATLAB, which achieves better control effect. Finally, through the functional test of the acquisition and the control part of the system, it is proved that the scheme achieves the expected design requirements.

关键词： green building intelligent control Zigbee temperature and humidity

来源：评论

学校读者我要写书评

暂无评论

Multi-label Classification of Short Text Based on Similarity Graph and Restart Random Walk Model 11th

Multi-label Classification of Short Text Based on Similarity...

引用

11th IFIP TC 12 international conference on intelligent Information Processing, IIP 2020

作者： Li, Xiaohong Yang, Fanyi Ma, Yuyin Ma, Huifang College of Computer Science and Engineering Northwest Normal University Lanzhou China

ISBN: (纸本)9783030469306

A multi-label classification method of short text based on similarity graph and restart random walk model is proposed. Firstly, the similarity graph is created by using data and labels as the node, and the weights on the edges are calculated through an external knowledge, so the initial matching degree of between the sample and the label set is obtained. After that, we build a label dependency graph with labels as vertices, and using the previous matching degree as the initial prediction value to calculate the relationship between the sample and each node until the probability distribution becomes stable. Finally, the obtained relationship vector is the label probability distribution vector of the sample predicted by the method in this paper. Experimental results show that we provides a more efficient and reliable multi-label short-text classification algorithm. © 2020, IFIP international Federation for Information Processing.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Boosting convolutional neural networks performance based on FPGA accelerator 18th

Boosting convolutional neural networks performance based on ...

引用

Joint conferences on 18th international conference on intelligent Systems Design and Applications, ISDA 2018 and 10th World Congress on Nature and Biologically Inspired Computing , NaBIC 2018

作者： Al-Shamma, Omran Fadhel, Mohammed Abdulraheem Hameed, Rabab Alaa Alzubaidi, Laith Zhang, Jinglan University of Information Technology and Communications Baghdad Iraq University of Baghdad Baghdad Iraq Faculty of Science and Engineering Queensland University of Technology Brisbane Australia

ISBN: (纸本)9783030166564

Convolutional Neural Network (CNN) has been extensively used for image recognition due to its great accuracy. this accuracy is achieved through emulating the optic nerves behavior in living human beings. the speedy progress of the current applications derived from deep learning algorithms has extra enhanced research and developments. More specifically, several deep CNN accelerators have been planned on FPGA-based platform, due to its fast development round, reconfigure-ability, and high performance. the FPGA is extremely faster than the CPU because it based on parallel mechanism, as well as, consumes very low energy. this paper employs the FPGA in establishing the CNN architecture of type VGG16 model. the FPGA solves the convolutional computations for accelerating the computation time by 11%, without losing much fidelity when using 16-bit fixed-point data format rather than 32-bit floating-point data format. © Springer Nature Switzerland AG 2020.

关键词： Field programmable gate arrays (FPGA)

来源：评论

学校读者我要写书评

暂无评论

A Batch-normalized Deep Neural Networks and its application in bearing fault diagnosis 11

A Batch-normalized Deep Neural Networks and its application ...

引用

11th international conference on intelligent Human-Machine Systems and Cybernetics (IHMSC)

作者： Zheng, Jiaqi Sun, Hongjun Wang, Xiaojing Liu, Jun Zhu, Caizhi Shanghai Univ Sch Mech Engn & Automat 99 Shangda Rd Shanghai 200444 Peoples R China

ISBN: (纸本)9781728118598

At present, in the field of fault diagnosis, deep learning has shown state-of-the-art performance in processing mechanical big data. this paper studies the deep neural networks(DNN) model based on auto-encoder, which has high performance in bearing fault diagnosis. However, the traditional structure of stacked auto-encoders has the problem of internal covariant transfer, that inhibits the training efficiency and generalization ability of the network. To overcome the aforementioned deficiency and further explore the performance of DNN, a batch normalization layer is employed in the fully connected layer of the DNN during training, so the network can obtain the stable distribution of activation values. therefore, this paper proposes a new intelligent diagnosis method named batch normalization deep neural networks(BN-DNN). Finally, the experimental results show that: (1) the performance of BN-DNN is better than DNN. (2) BN-DNN can directly process the raw vibration signals, and the diagnostic accuracy can be maintained above 99% under different working conditions.

关键词： Deep learning fault diagnosis auto-encoder batch normalization

来源：评论

学校读者我要写书评

暂无评论

11th international conference on intelligent data Processing, IDP 2016

11th International Conference on Intelligent Data Processing...

引用

11th international conference on intelligent data Processing, IDP 2016

ISBN: (纸本)9783030353995

the proceedings contain 11 papers. the special focus in this conference is on intelligent data Processing. the topics include: Parametric shape descriptor based on a scalable boundary-skeleton model;reinforcement-based simultaneous algorithm and its hyperparameters selection;an information approach to accuracy comparison for classification schemes in an ensemble of data sources;on a metric kemeny’s median;recognition of herpes viruses on the basis of a new metric for protein sequences;learning interpretable prefix-based patterns from demographic sequences;population health assessment based on entropy modeling of multidimensional stochastic systems;students learning results prediction with usage of mixed diagnostic tests and 2-simplex prism;application of information redundancy measure to image segmentation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A novel approach of Load Balancing in Content Delivery Networks by optimizing the surrogate server

A novel approach of Load Balancing in Content Delivery Netwo...

引用

international conference on Confluence the Next Generation Information Technology Summit (Confluence)

作者： Pulkit Varshney Sanchit Gaur Satya Pal Airtel X Labs NSUT Delhi India Oracle NSUT Delhi India Car Dekho IIM Rohtak Delhi India

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

the new load balancing methods plan to disseminate the load to the proxy servers ideally and amplify usage of the network, avoiding traffic and delay along the way. In this paper, we are proposing a novel approach for optimizing the router request time to minimize the delay, which exploits the adaptability and programmability of Software-Defined Networking. It is done by creating CDNs and balancing load using surrogate networks. It will lower the load on the original server. the load balancing is done using shortest path selection through the utilization of neural networks as a machine learning technique to choose the node with the highest energy level and determine the fastest route for data transfer. this enhancement work in this paper is done for specific types of networks like wireless networks during the session layer transmission. In the selection process of the node for data transfer, we could use a neural network instead of a decision tree. the paper concludes with the evaluation of achieved results and the comparison against the of performance metrics of other pre-existing approaches.

关键词： Cloud computing Wireless networks Neural networks Load management data transfer Delays Servers

来源：评论

学校读者我要写书评

暂无评论

An Optimized Extreme learning Machine Algorithm for Improving Software Maintainability Prediction

An Optimized Extreme Learning Machine Algorithm for Improvin...

引用

international conference on Confluence the Next Generation Information Technology Summit (Confluence)

作者： Shikha Gupta Anuradha Chug University School of Information Communication & Technology Guru Gobind Singh Indraprastha University New Delhi India

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

In recent years, software maintainability has become a critical attribute in software engineering to determine software quality. Hence, predicting this maintainability in an accurate and timely manner is a fundamental requirement for effective management during the software maintenance phase. this has led the software developers to pay more attention to those modules that need high maintenance. the current study proposes an Optimized Extreme learning Machine (OELM) algorithm for Software Maintainability Prediction (SMP) using three open-source datasets, viz.: Abdera, Ivy, & Rave. Since all these datasets are initially imbalanced, a Random Over Sampling technique is also used for re-sampling to avoid any problem encountered due to the imbalanced distribution of datasets. the predictive performance is analyzed based on the three performance evaluation measures, i.e., Accuracy, F1-Score, & Area under the ROC Curve. the results support the effective utilization of the proposed OELM algorithm in SMP. the OELM algorithm's performance is also compared with four different Machine learning (ML) algorithms, namely AdaBoost, Bagged CART, Flexible Discriminant Analysis, and Penalized Multinomial Regression. this comparison further supports the effectiveness of the OELM algorithm in predicting maintainability. the OELM algorithm performs 7.82%, 8.54%, and 22.98% better for Abdera, Ivy, and Rave datasets, respectively, than the other four ML algorithms taken together concerning Accuracy.

关键词： Software maintenance Machine learning algorithms Extreme learning machines Software algorithms Switched mode power supplies Software quality Prediction algorithms

来源：评论

学校读者我要写书评

暂无评论

Prediction of Public Procurement Corruption Indices using Machine learning Methods 11

Prediction of Public Procurement Corruption Indices using Ma...

引用

11th international Joint conference on Knowledge Discovery, Knowledge engineering and Knowledge Management / 11th international conference on Knowledge Management and Information Systems (KMIS)

作者： Rabuzin, Kornelije Modrusan, Nikola Univ Zagreb Fac Org & Informat Pavlinska 2 Varazhdin Croatia

ISBN: (纸本)9789897583827

the protection of citizens' public financial resources through advanced corruption detection models in public procurement has become an almost inevitable topic and the subject of numerous studies. Since it almost always focuses on the prediction of corrupt competition, the calculation of various indices and indications of corruption to the data itself are very difficult to come by. these data sets usually have very few observations, especially accurately labelled ones. the prevention or detection of compromised public procurement processes is definitely a crucial step, related to the initial phase of public procurement, i.e., the phase of publication of the notice. the aim of this paper is to compare prediction models using text-mining techniques and machine-learning methods to detect suspicious tenders, and to develop a model to detect suspicious one-bid tenders. Consequently, we have analyzed tender documentation for particular tenders, extracted the content of interest about the levels of all bids and grouped it by procurement lots using machine-learning methods. A model that includes the aforementioned components uses the most common text classification algorithms for the purpose of prediction: naive Bayes, logistic regression and support vector machines. the results of the research showed that knowledge in the tender documentation can be used for detection suspicious tenders.

关键词： Fraud Detection Corruption Indices Public Procurement Text Mining data Mining Big data Knowledge Discovery

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 << < 413 414 415 416 417 418 419 420 421 422 > >>

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：