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

177 篇 会议
4 册 图书
1 篇 期刊文献

馆藏范围

182 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

146 篇 工学
- 121 篇 计算机科学与技术...
- 59 篇 软件工程
- 21 篇 控制科学与工程
- 16 篇 信息与通信工程
- 12 篇 生物工程
- 9 篇 生物医学工程（可授...
- 6 篇 机械工程
- 5 篇 光学工程
- 5 篇 电气工程
- 5 篇 安全科学与工程
- 4 篇 仪器科学与技术
- 4 篇 电子科学与技术（可...
- 4 篇 交通运输工程
- 4 篇 农业工程
- 3 篇 动力工程及工程热...
- 3 篇 化学工程与技术
59 篇 理学
- 40 篇 数学
- 16 篇 生物学
- 11 篇 统计学（可授理学、...
- 7 篇 物理学
- 4 篇 化学
- 3 篇 系统科学
29 篇 管理学
- 19 篇 图书情报与档案管...
- 12 篇 管理科学与工程(可...
- 6 篇 工商管理
9 篇 医学
- 9 篇 临床医学
- 8 篇 基础医学(可授医学...
- 5 篇 药学(可授医学、理...
6 篇 法学
- 6 篇 社会学
6 篇 农学
- 6 篇 作物学
2 篇 教育学
1 篇 经济学

主题

13 篇 deep learning
12 篇 machine learning
10 篇 data mining
7 篇 real-time system...
7 篇 convolutional ne...
6 篇 clustering algor...
5 篇 feature extracti...
5 篇 artificial intel...
5 篇 data models
4 篇 database managem...
4 篇 accuracy
4 篇 forecasting
3 篇 internet of thin...
3 篇 fuzzy sets
3 篇 support vector m...
3 篇 automation
3 篇 manuals
3 篇 visualization
3 篇 decision making
3 篇 classification

机构

3 篇 school of comput...
2 篇 monash universit...
2 篇 chengdu universi...
2 篇 information tech...
2 篇 department of ma...
2 篇 ajou univ div el...
2 篇 dept. of informa...
2 篇 department of da...
2 篇 intelligent comp...
2 篇 telkom universit...
2 篇 univ london roya...
2 篇 department of in...
2 篇 naval research l...
2 篇 department of co...
2 篇 the university o...
2 篇 school of comput...
2 篇 faculty of scien...
2 篇 tsing hua univ s...
2 篇 ajou univ grad s...
2 篇 department of ma...

作者

4 篇 yin hujun
3 篇 lee yuh-jye
3 篇 zhang byoung-tak
3 篇 taniar david
3 篇 huang de-shuang
2 篇 sun jg
2 篇 chan tony f.
2 篇 horváth tomáš
2 篇 pao hsing-kuo
2 篇 liu yang
2 篇 ng michael k.
2 篇 tashu tsegaye mi...
2 篇 ahmad k
2 篇 fakhrurroja hani...
2 篇 p. vishnu kumar
2 篇 bellotti t
2 篇 luo zy
2 篇 hujun yin
2 篇 wu edmond h.
2 篇 colin fyfe

语言

174 篇 英文
5 篇 其他
3 篇 中文

检索条件"任意字段=5th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2004"

共 182 条记录，以下是101-110 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：

Stock trading by modelling price trend with dynamic bayesian networks

引用

5th international conference on intelligent data engineering and automated learning, ideal 2004

作者： Jangmin, O. Lee, Jae Won Park, Sung-Bae Zhang, Byoung-Tak School of Computer Science and Engineering Seoul National University San 56-1 Shillim-dong Kwanak-gu Seoul151-744 Korea Republic of School of Computer Science and Engineering Sungshin Women’s University Dongsun-dong Sungbuk-gu Seoul136-742 Korea Republic of

ISBN: (纸本)3540228810

We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHMM). there are five states describing the trend in first level. Second and third levels are abstract and concrete hidden Markov models to produce the observed patterns. To train the HHMM, we adapt a semi-supervised learning so that the trend states of first layer is manually labelled. the inferred probability distribution of first level are used as an indicator for the trading signal, which is more natural and reasonable than technical indicators. Experimental results on representative 20 companies of Korean stock market show that the proposed HHMM outperforms a technical indicator in trading performances. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Hidden Markov models

来源：评论

学校读者我要写书评

暂无评论

A clustering model for mining evolving web user patterns in data stream environment

引用

5th international conference on intelligent data engineering and automated learning, ideal 2004

作者： Wu, Edmond H. Ng, Michael K. Yip, Andy M. Chan, Tony F. Department of Mathematics The University of Hong Kong Pokfulam Road Hong Kong Department of Mathematics University of California 405 Hilgard Avenue Los AngelesCA90095-1555 United States

ISBN: (纸本)3540228810

With the fast growing of the Internet and its Web users all over the world, how to manage and discover useful patterns from tremendous and evolvingWeb information sources become new challenges to our data engineering researchers. Also, there is a great demand on designing scalable and flexible data mining algorithms for various time-critical and data-intensive Web applications. In this paper, we purpose a new clustering model for generating and maintaining clusters efficiently which represent the changing Web user patterns in Websites. With effective pruning process, the clusters can be fast discovered and updated to reflect the current or changing user patterns to Website administrators. this model can also be employed in different Web applications such as personalization and recommendation systems. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Websites

来源：评论

学校读者我要写书评

暂无评论

Leveraging Ensemble Deep learning Model for Fruit Image Recognition with Explainable AI 5

Leveraging Ensemble Deep Learning Model for Fruit Image Reco...

引用

5th international conference on Big data and Artificial Intelligence and Software engineering, ICBASE 2024

作者： Wang, Yaoqing Yu, Chang Lin, Xiyue Mgbejime, Goodness Temofe Nneji, Grace U. Monday, Happy N. University of Electronic Science and Technology School of Electronic Science and Engineering China Chengdu University of Technology Chengdu China Intelligent Computing Lab Hace Softtech Lagos102241 Nigeria

ISBN: (纸本)9798331506612

Precise classification of fruit images is crucial for a range of agricultural and retail purposes. Although there have been improvements, current methods have limits when it comes to dealing with complex feature extraction and ensuring model resilience. this paper introduces a new framework for categorizing fruits using a combination of advanced deep learning models, namely AlexNet, ResNet50, and EfficientNet. the collection of 43,912 photos across 44 fruit classifications underwent thorough pre-processing and data augmentation procedures. Grad-CAM, SHAP, and LIME were employed to achieve model interpretability, offering valuable insights into the decision-making process of the ensemble model. the experimental results indicate that the ensemble model surpasses the performance of individual models, obtaining 96.9% accuracy, 96.2% precision, 94.5% recall, and 95.4% F1-score. the proposed ensemble model provides a highly efficient solution for automated fruit classification, with substantial implications for agricultural technology and retail automation. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Enhanced CNN Architecture for Accurate Waste Classification in Smart Cities 5

Enhanced CNN Architecture for Accurate Waste Classification ...

引用

5th international conference on IoT Based Control Networks and intelligent Systems, ICICNIS 2024

作者： Kabilan, B. Sairam, R. Praveen, M. Saveetha Engineering College Dept. of ECE Chennai India

ISBN: (数字)9798331518097

ISBN: (纸本)9798331518097

Waste management is one of the biggest challenges of the present world as the generation of waste has risen tremendously. In this paper we introduce an automated waste classification system that uses Convolutional Neural Networks to effectively sort waste into four categories which are biodegradable, non-biodegradable, biomedical and electronic waste. the framework that has been suggested in this paper incorporates several new preprocessing techniques including data augmentation as well as noise removal for enhancing the robustness of the model. the CNN architecture has the convolutional, pooling and dense layers that are well tuned to identify essential features and enhance the accuracy of classification. the model was trained and validated using a large data set and the accuracy of the model was 91.87%, while the F1 score, recall and precision were also high for all the waste categories. In contrast to other methods for machine learning like SVM, RF, CNN was found to be better in dealing with high dimensional image data, owing to its flexibility and efficiency. the system can be implemented on edge devices which makes it possible to sort waste in real time and thus do not require much reliance on central systems. this approach has potential for application in cities, smart industries and healthcare units with a view of environmental conservation and optimal resource management. In the future, the work will be extended to improve the dataset, use transfer learning approaches and develop new applications including smart waste bins and hazardous material separation systems to enhance the field of automated waste management. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Modelling and clustering of gene expressions using RBFs and a shape similarity metric

引用

5th international conference on intelligent data engineering and automated learning, ideal 2004

作者： Möller-Levet, Carla S. Yin, Hujun Electrical Engineering and Electronics University of Manchester Institute of Science and Technology ManchesterM60 IQD United Kingdom

ISBN: (纸本)3540228810

this paper introduces a novel approach for gene expression time-series modelling and clustering using neural networks and a shape similarity metric. the modelling of gene expressions by the Radial Basis Function (RBF) neural networks is proposed to produce a more general and smooth characterisation of the series. Furthermore, we identified that the use of the correlation coefficient of the derivative of the modelled profiles allows the comparison of profiles based on their shapes and the distributions of time points. the series are grouped into similarly shaped profiles using a correlation based fuzzy clustering algorithm. A well known dataset is used to demonstrate the proposed approach and a set of known genes are used as a benchmark to evaluate its performance. the results show the biological relevance and indicate that the proposed method is a useful technique for gene expression time-series analysis. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Gene expression

来源：评论

学校读者我要写书评

暂无评论

Promsearch: A hybrid approach to human core-promoter prediction

引用

5th international conference on intelligent data engineering and automated learning, ideal 2004

作者： Kim, Byoung-Hee Park, Seong-Bae Zhang, Byoung-Tak Biointelligence Laboratory School of Computer Science and Engineering Seoul National University Seoul151-744 Korea Republic of

ISBN: (纸本)3540228810

this paper presents an effective core-promoter prediction system on human DNA sequence. the system, named PromSearch, employs a hybrid approach which combines search-by-content method and search-by-signal method. Global statistics of promoter-specific contents are included to represent new significant information underlying the proximal and downstream region around transcription start site (TSS) of DNA sequence. Local signal features such as TATA box and CAAT box are encoded by the position weight matrix (PWM) method. In the experiment for the sequence set from the review by ***, PromSeach shows 47% positive predictive value which surpasses most of previously systems. On large genomic sequences, it shows reduced false positive rate while preserving true positive rate. © Springer-Verlag Berlin Heidelberg 2004.

关键词： DNA sequences

来源：评论

学校读者我要写书评

暂无评论

Modelling Survival by Machine learning Methods in Liver Transplantation: Application to the UNOS dataset 20th

Modelling Survival by Machine Learning Methods in Liver Tran...

引用

20th international conference on intelligent data engineering and automated learning (ideal)

作者： Guijo-Rubio, David Villalon-Vaquero, Pedro J. Gutierrez, Pedro A. Dolores Ayllon, Maria Briceno, Javier Hervas-Martinez, Cesar Univ Cordoba Dept Comp Sci Cordoba Spain Unit Hepatobiliary Surg & Liver Transplantat Cordoba Spain

ISBN: (纸本)9783030336172;9783030336165

the aim of this study is to develop and validate a machine learning (ML) model for predicting survival after liver transplantation based on pre-transplant donor and recipient characteristics. For this purpose, we consider a database from the United Network for Organ Sharing (UNOS), containing 29 variables and 39,095 donor-recipient pairs, describing liver transplantations performed in the United States of America from November 2004 until June 2015. the dataset contains more than a 74% of censoring, being a challenging and difficult problem. Several methods including proportional-hazards regression models and ML methods such as Gradient Boosting were applied, using 10 donor characteristics, 15 recipient characteristics and 4 shared variables associated with the donor-recipient pair. In order to measure the performance of the seven state-of-the-art methodologies, three different evaluation metrics are used, being the concordance index (ipcw) the most suitable for this problem. the results achieved show that, for each measure, a different technique obtains the highest value, performing almost the same, but, if we focus on ipcw, Gradient Boosting outperforms the rest of the methods.

关键词： United Network for Organ Sharing Liver transplant Survival analysis Machine learning

来源：评论

学校读者我要写书评

暂无评论

automated Detection of Encryption Algorithms Using AI Techniques 5

Automated Detection of Encryption Algorithms Using AI Techni...

引用

5th international conference on IoT Based Control Networks and intelligent Systems, ICICNIS 2024

作者： Chidambaranathan, Senthilnathan Santhanaraj, M. Ajitha, E. Syed Fiaz, A.S. Suchithra, B. Kathirvel, T. Virtusa Corporation NJ United States Kongunadu College of Engineering and Technology Department of IT Tamil Nadu Trichy India St. Joseph's Institute of Technology Computer Science and Engineering India Sona College of Technology Department of Information Technology Salem India Sri Eshwar College of Engineering Department of CSE Coimbatore India

ISBN: (纸本)9798331518097

In today's digital era, cryptographic algorithms play a vital role in safeguarding sensitive information, maintaining confidentiality, and defending against cyberattacks. With the growing variety of encryption methods and modes, identifying the specific algorithm used to generate a ciphertext has become increasingly challenging. To address this, we propose a machine learning solution that automatically identifies cryptographic algorithms using the Random Forest classifier. the system processes a vast dataset called 'encrypted-data,' which contains 39 different algorithms and modes, by extracting essential features like byte frequency and entropy from the ciphertexts. these features form a 257-dimensional Feature vector used for classification. Random Forest models are trained with these data. During testing, models are loaded is used to predict the encryption algorithm for a given ciphertext. Our method offers a scalable and efficient approach to cryptographic identification, surpassing traditional techniques. © 2024 IEEE.

关键词： Encryption algorithms

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach to Optimizing Spark: Detecting Misconfigurations for Enhanced Efficiency 5

A Novel Approach to Optimizing Spark: Detecting Misconfigura...

引用

5th international conference on IoT Based Control Networks and intelligent Systems, ICICNIS 2024

作者： Sanjana, S. Rachana, V. Umesh, Uday Rao, Suraj Jayashree, R. PES University Department of Computer Science and Engineering Bengaluru India Bengaluru India

ISBN: (纸本)9798331518097

Configuration errors constitute 60% of contemporary system failures in distributed computing platforms. these errors lead to data breaches, system crashes, or silent failures requiring extensive technical support and knowledge of the application architecture. this research work introduces a dataset that can be used to detect misconfigurations in a Spark cluster. the dataset encompasses detailed system performance metrics such as CPU usage and memory allocation that were recorded by running CPU intensive and memory intensive Spark jobs under various configuration settings to capture performance variations. Analysis of this dataset provides insights into optimizing the values of Spark cluster configurations and mitigating the impact of configuration errors. By using machine learning techniques on this dataset, it is possible to construct automated methods for proactively detecting and mitigating misconfigurations, which improves the stability and efficiency of distributed computing environments. © 2024 IEEE.

关键词： Storage allocation (computer)

来源：评论

学校读者我要写书评

暂无评论

Cluster-based visualisation of marketing data

引用

5th international conference on intelligent data engineering and automated learning, ideal 2004

作者： Lisboa, Paulo J.G. Patel, Shail School of Computing and Mathematical Sciences John Moores University LiverpoolL3 3BX United Kingdom Corporate Research Unilever R and D Colworth House Sharnbrook BedfordMK44 1LQ United Kingdom

ISBN: (纸本)3540228810

Marketing data analysis typically aims to gain insights for targeted promotions or, increasingly, to implement collaborative filtering. ideally, data would be visualised directly. there is a scarcity of methods to visualise the position of individual data points in clusters, mainly because dimensionality reduction is necessary for analysis of high-dimensional data and projective methods tend to merge clusters together. this paper proposes a cluster-based projective method to represent cluster membership, which shows good cluster separation and retains linear relationships in the data. this method is practical for the analysis of large, high-dimensional, databases, with generic applicability beyond marketing studies. theoretical properties of this non-orthogonal projection are derived and its practical value is demonstrated on real-world data from a web-based retailer, benchmarking with the visualisation of clusters using Sammon and Kohonen maps. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Marketing

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19页 << < 7 8 9 10 11 12 13 14 15 16 > >>

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：