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

23,360 篇 会议
2,978 篇 期刊文献
16 篇 学位论文

馆藏范围

26,354 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,693 篇 工学
- 3,419 篇 计算机科学与技术...
- 3,186 篇 电气工程
- 1,829 篇 信息与通信工程
- 643 篇 控制科学与工程
- 538 篇 软件工程
- 488 篇 仪器科学与技术
- 305 篇 测绘科学与技术
- 300 篇 机械工程
- 284 篇 生物医学工程（可授...
- 148 篇 电子科学与技术（可...
- 114 篇 生物工程
- 108 篇 交通运输工程
- 107 篇 环境科学与工程（可...
- 75 篇 网络空间安全
- 56 篇 航空宇航科学与技...
- 41 篇 材料科学与工程（可...
849 篇 理学
- 194 篇 物理学
- 160 篇 生物学
- 141 篇 地球物理学
- 126 篇 数学
- 122 篇 系统科学
- 97 篇 地理学
- 51 篇 化学
- 43 篇 统计学（可授理学、...
526 篇 管理学
- 481 篇 管理科学与工程(可...
498 篇 医学
- 374 篇 临床医学
- 100 篇 基础医学(可授医学...
195 篇 农学
- 99 篇 作物学
- 80 篇 农业资源与环境
75 篇 文学
- 70 篇 新闻传播学
23 篇 教育学
21 篇 经济学
19 篇 艺术学
13 篇 法学
7 篇 军事学
2 篇 历史学

主题

26,354 篇 classification a...
6,478 篇 feature extracti...
5,192 篇 training
4,697 篇 accuracy
4,379 篇 support vector m...
3,199 篇 machine learning...
2,675 篇 prediction algor...
2,641 篇 clustering algor...
2,490 篇 algorithm design...
2,356 篇 data mining
2,259 篇 machine learning
1,603 篇 data models
1,405 篇 deep learning
1,361 篇 optimization
1,338 篇 decision trees
1,174 篇 predictive model...
1,165 篇 testing
1,140 篇 computational mo...
1,096 篇 neural networks
1,020 篇 databases

机构

63 篇 chitkara univers...
23 篇 centre of resear...
23 篇 college of infor...
19 篇 school of comput...
18 篇 tsinghua univers...
18 篇 university of ch...
17 篇 chitkara centre ...
17 篇 school of inform...
17 篇 department of co...
16 篇 school of comput...
16 篇 school of comput...
16 篇 school of electr...
14 篇 computer science...
14 篇 univ chinese aca...
14 篇 microsoft resear...
14 篇 school of comput...
13 篇 school of electr...
13 篇 school of electr...
13 篇 school of comput...
12 篇 princess nourah ...

作者

29 篇 wei li
22 篇 hui wang
22 篇 jun wang
21 篇 lei wang
17 篇 xia sun
17 篇 yang yang
16 篇 jing zhang
15 篇 jun zhang
15 篇 liu yang
14 篇 xi chen
14 篇 li zhang
14 篇 jie li
13 篇 jian wang
13 篇 rakesh kumar
13 篇 jie yang
13 篇 jun shi
13 篇 chen chen
12 篇 bing xue
12 篇 ahmad jalal
12 篇 xuegang hu

语言

26,217 篇 英文
90 篇 其他
33 篇 中文
4 篇 土耳其文
2 篇 法文
1 篇 西班牙文
1 篇 俄文

检索条件"主题词=Classification Algorithms"

共 26354 条记录，以下是161-170 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：

Effective classification algorithms and Feature Selection for Bio-Medical Data using IoT

Effective Classification Algorithms and Feature Selection fo...

引用

HCT Information Technology Trends (ITT)

作者： Junaid Masood Muhammad Shahzad Zahoor Ali Khan Vishesh Akre Amala Rajan Sheeraz Ahmed Fawad Masood Iqra National University Peshawar Pakistan MNS University of Engineering and Technology Multanr Pakistan Career Dynamics Research Centre Peshawar Pakistan CIS Higher Colleges of Technology Fujairah UAE Higher Colleges of Technology Dubai UAE Institute of Space Technology Islamabad Pakistan

ISBN: (数字)9781728183794

ISBN: (纸本)9781728183800

Data mining is the process to predict future trends. Data mining involving searching of patterns whose general purpose is to extract information using intelligent methods from a set of data and information turn it into an understandable structure for later use. Data mining using IoT becomes one of the leading providers applicable in several areas. The method of extracting usable data from larger set of arbitrary raw data is called data mining. This includes the analysis of sample data in large amounts of data with one or more programs. Concentrate on large amounts of data and databases to analyze, we use predictive analysis in the field of medicine. In this study, we examine the performance of algorithms along with the use of IoT that analyses large amounts of scattered information to make sense of it and turn it into knowledge. For this we used feature selection and classification algorithm on hepatitis data to get best result with minimum error rate and compare feature selection with classification algorithm so that to check which method is best according to results.

关键词： classification algorithms Feature extraction Data mining Error analysis Software Prediction algorithms Liver

来源：评论

学校读者我要写书评

暂无评论

Comparative Study of Different Intent classification algorithms for Agriculture Question and Answer Task

Comparative Study of Different Intent Classification Algorit...

引用

International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)

作者： Pratijnya Ajawan Veena Desai Supriya Shanbhag Nikita Hemant Kodkany KLS Gogte Institute of Technology Belagavi Karnataka India

ISBN: (数字)9798350380040

ISBN: (纸本)9798350380057

This research examines the effectiveness of various machine learning models in accurately classifying the intent of agricultural queries using fundamental machine learning techniques. The study analyzes two curated datasets: the QUERY dataset, containing 2,853 queries and their corresponding intents, and the ANSWERS dataset, which includes crops and their associated intents, covering 21 intent categories across 30 different crops. The main objective is to evaluate the performance of traditional machine learning models on this dataset to enable accurate intent classification, facilitating responsive interactions via the QA system, which delivers data-driven answers to farmers' queries. Notably, the Support Vector Classifier demonstrated the best performance with an accuracy of 92 % , closely followed by the Linear Discriminant Analysis Classifier. Using the Support Vector Classifier, the QA system efficiently retrieves responses from the ANSWERS dataset. This paper provides a comprehensive analysis of the performance of various algorithms for the question-answering (QA) task in the agricultural domain. The evaluation is based on pre-modelled classification reports from Sklearn's metrics package, ensuring rigorous analysis and detailed insights into the effectiveness of each approach.

关键词： Machine learning algorithms Accuracy Intent recognition Crops Static VAr compensators Machine learning Predictive models Prediction algorithms Vectors classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Automatic artifact identification in image communication using watermarking and classification algorithms

Automatic artifact identification in image communication usi...

引用

International Symposium on Telecommunications, IST

作者： Shabnam Sodagari G. Hossein Hajimirsadeghi Alireza Nasiri Avanaki Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Tehran Iran

We present a novel scheme, which enables the receiver to automatically identify the channel noise type in image communication. The method is based on embedding the image histogram, and deriving its specific statistics as descriptive features of the original image, through a robust watermarking algorithm within itself at the transmitter and extracting the hidden data at the receiver, for comparing with the corresponding features of the noise-distorted image. Then, by using a classifier, we are able to distinguish the channel noise type. Implementation results prove the efficiency of our proposed system in capably recognizing the noise type for common image transmission noise varieties.

关键词： classification algorithms Noise Histograms Support vector machines Principal component analysis Watermarking Training

来源：评论

学校读者我要写书评

暂无评论

Optimization Research on Deep Learning-Based Image classification algorithms in Computer Vision

Optimization Research on Deep Learning-Based Image Classific...

引用

Artificial Intelligence and Computer Engineering (ICAICE), International Conference on

作者： Tianyi Sun Zhejiang Gongshang University School of Information and Electronic Engineering Hangzhou Zhejiang

ISBN: (数字)9798331528911

ISBN: (纸本)9798331528928

Aiming at the problems of high computational complexity and insufficient accuracy of traditional deep learning image classification algorithms, a novel network structure called DARN (Dual Attention ResNet) is designed. This method embeds channel attention and spatial attention modules in the residual blocks, optimizes the training strategy, and reduces the algorithm complexity. On the ImageNet dataset, the classification accuracy reaches 78.6%, which is 2.3% higher than the original ResNet50, with a 20.5% reduction in parameters and a 31% increase in inference speed, achieving a balance between model performance and computational efficiency.

关键词： Deep learning Training Accuracy Computational modeling Inference algorithms classification algorithms Computational efficiency Optimization Image classification Residual neural networks

来源：评论

学校读者我要写书评

暂无评论

Comparison of two spectral-texture classification algorithms

Comparison of two spectral-texture classification algorithms

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： W. Philpot V. Chavarria CLEARS Center for the Environment Cornell University Ithaca NY USA

Two classification algorithms that rely on both spectral and textural information are presented and compared. The first is a standard maximum-likelihood classification procedure with a texture "band" added to the spectral band set. The second is a pattern matching algorithm which integrates the spectral and spatial characteristics of the data in recognizing a user-specified training pattern. The pattern matching algorithm proved to be the most effective procedure of those compared. classification results from both methods are compared with each other and with a purely spectral classification using a maximum-likelihood classifier.< >

关键词： classification algorithms Pattern matching Character recognition Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Comparison of orientation-independent-based-independent-based movement recognition system using classification algorithms

Comparison of orientation-independent-based-independent-base...

引用

IEEE Symposium on Wireless Technology and Applications (ISWTA)

作者： Sian Lun Lau Department of Computer Science and Networked System Sunway University Bandar Sunway Petaling Jaya Malaysia

In the past decade, the accelerometer has been used to enable activity recognition in different application domains. In recent years, the accelerometer in a smartphone is also being applied to provide unobtrusive movement recognition. Majority of the existing investigations requires the orientation of the sensor device to be fixed. By applying the orientation-independent approach, proposed by Mizell, this requirement may be relaxed. In this paper, we compare the recognition accuracy using classification algorithms built from raw and orientation-independent acceleration data. The evaluations, based on acceleration data collected from five users, have shown that the application of the orientation-independent approach achieves accuracy up to 88 %. The trade-off of relaxing the requirement of fixed-orientation is around 5-6 %.

关键词： Acceleration Accuracy Accelerometers classification algorithms Feature extraction Bagging Gravity

来源：评论

学校读者我要写书评

暂无评论

IoT Secure Communication using ANN classification algorithms

IoT Secure Communication using ANN Classification Algorithms

引用

International Conference on Promising Electronic Technologies (ICPET)

作者： Tamer S. Fatayer Mohammed N. Azara Computer Science Department Al-Aqsa University Gaza Palestine IT Department Al-Aqsa University Gaza Palestine

Internet of Things (IoT) is state of the art technology of internet network that enables devices in our life (e.g., camera, and cars) to connect internet network and exchange data between them. Data communication between these devices exposed to different attacks (e.g., Denial of Service (DoS), buffer overflow, and probing attack). So we need secure and good performance techniques to detect these attacks. In this paper, we use Artificial Neural Networks (ANN) classification algorithms to detect several attacks which IoT communication is exposed. These algorithms are all learning Vectors Quantization (LVQ's) versions, Radial basis function (RBN) and Multilayer Perceptron (MLP). In this paper, to conduct our experimental results, we use KDD CUP 99 Dataset that contains 494020 instances for different attacks. Our results showed that LVQ2.1 archives best classification accuracy (97.44%) than other versions during 4.56 second. On the other hand, MLP achieves best accuracy (99.86%) than LVQ2.1 and RBF. Unfortunately, time taken by MLP is significantly low which takes 28811 seconds.

关键词： classification algorithms Artificial neural networks Security Internet of Things Vector quantization Sensors

来源：评论

学校读者我要写书评

暂无评论

Assessing the Accuracy of Different Machine Learning classification algorithms in Forecasting Results of Italian Ancillary Services Market

Assessing the Accuracy of Different Machine Learning Classif...

引用

International Conference on European Electricity Market, EEM

作者： Filippo Bovera Alessandro Blaco Giuliano Rancilio Maurizio Delfanti Department of Energy Politecnico di Milano Milano Italy Ricerca sul Sistema Energetico Milano Italy

Ancillary Services Market in Italy is knowing a period of reformation: Distributed Generators and loads are now enabled for the provision of dispatching resources. This calls for the development of fast, cheap and reliable tools to be used by operators with poor awareness about energy markets. In this paper a first approach to the problem is proposed: Machine Learning-based classification models are developed and tested over a set of pre-processed market data. Then, a selected model based on Decision Trees is further elaborated to test its sensitivity with respect to hyperparameters tuning and learning techniques. Results highlighted the possibility to exploit this kind of models to integrate market-based logic in the control and automation of Distributed Generators and microgrids.

关键词： Vegetation Computational modeling Support vector machines Data models Decision trees Predictive models classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Towards Optimized Packet classification algorithms for Multi-Core Network Processors

Towards Optimized Packet Classification Algorithms for Multi...

引用

International Conference on Parallel Processing (ICPP)

作者： Yaxuan Qi Bo Xu Fei He Xin Zhou Jianming Yu Jun Li Research Institute of Information Technology Tsinghua University China Tsinghua National Laboratory for Information Science and Technology China Research Institute of Information Technology Department of Automation Tsinghua University China

In this paper, a novel packet classification scheme optimized for multi-core network processors is proposed. The algorithm, Explicit Cuttings (ExpCuts), adopts a hierarchical space aggregation technique to significantly reduce the memory usage. Consequently, without burst of memory usages, the time-consuming linear search in the conventional decision-tree based packet classification algorithms is eliminated, and an explicit worst-case search time is achieved. To evaluate the performance of ExpCuts, we implement the algorithm, as well as HiCuts and HSM, on the Intel IXP2850 network processor. Experimental results show that ExpCuts outperforms the existing best- known algorithms in terms of memory usage and classification speed.

关键词： classification algorithms Switches Application specific integrated circuits Random access memory Space technology Spine Application software Central Processing Unit Information technology Automation

来源：评论

学校读者我要写书评

暂无评论

Evaluation on SPOT data of classification algorithms based on Markovian modelization

Evaluation on SPOT data of classification algorithms based o...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： E. Cubero-Castan J. Pons J. Zerubia CNES Toulouse France GEOSYS Ramonville France INRIA Sophia-Antipolis France

CNES (French Space Agency) has developed a research program related to SPOT imagery to deal with cartography topics. Many studies, conducted with different laboratories, are intended to work on remote sensing data. The main purpose of the present research is information extraction (network extraction, urban area extraction, segmentation, etc.) One of these studies, made in collaboration with INRIA Sophia Antipolis, intends to classify remote sensing images using MRF (Markov random field) modelization. The paper presents an experiment, conducted by GEOSYS, on crop surveys. An evaluation of the MRF based algorithms is proposed to estimate the results in a supervised context, in order to validate this new approach. A comparison between the proposed methods and standard classification techniques have been done on multispectral SPOT data (XS1, XS2, XS3).

关键词： classification algorithms Data mining Crops Testing Remote sensing Passive optical networks Laboratories Urban areas Image segmentation Collaborative work

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 << < 13 14 15 16 17 18 19 20 21 22 > >>

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：