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

1,856 篇 会议
6 册 图书
1 篇 期刊文献

馆藏范围

1,863 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,364 篇 工学
- 1,248 篇 计算机科学与技术...
- 997 篇 软件工程
- 318 篇 生物工程
- 309 篇 信息与通信工程
- 189 篇 生物医学工程（可授...
- 160 篇 控制科学与工程
- 124 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
- 64 篇 安全科学与工程
- 62 篇 网络空间安全
- 53 篇 电子科学与技术（可...
- 48 篇 仪器科学与技术
747 篇 理学
- 390 篇 数学
- 326 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
440 篇 管理学
- 250 篇 管理科学与工程(可...
- 224 篇 图书情报与档案管...
- 128 篇 工商管理
174 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...
- 62 篇 公共卫生与预防医...
78 篇 教育学
- 78 篇 教育学
75 篇 法学
- 68 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

326 篇 machine learning
128 篇 deep learning
77 篇 support vector m...
66 篇 machine learning...
55 篇 forecasting
46 篇 feature extracti...
37 篇 decision trees
36 篇 accuracy
35 篇 computational mo...
34 篇 computer vision
31 篇 predictive model...
30 篇 training
28 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

1,803 篇 英文
58 篇 其他
16 篇 中文

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

共 1863 条记录，以下是191-200 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：

machine learning in Student Health - A Review 3

Machine Learning in Student Health - A Review

引用

3rd international conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2022

作者： Gurusamy, Deivanai Chakrabarti, Prasun Chakkaravarthy, Midhun Lincoln University College Faculty of Computer Science and Multimedia Malaysia Itm Sls Baroda University Department of Computer Science and Engineering India

ISBN: (纸本)9781665482684

Students' health is an important research topic today because they are the cornerstone of our society. Researchers have used various technological breakthroughs to address schoolchildren's and college/university students' health issues, and machine learning is now frequently employed. However, to understand the efficacy of machine learning and progress in student health research, a concise review of the influence of machine learning on student health is required, which the paper provides. The paper's primary objective is to examine which of the students' health concerns are efficiently addressed by machine learning algorithms and the outcomes of the approaches. The paper also discusses what leads students to perform poorly in schools, colleges, and universities and if machine learning will improve student health in the future. The review findings can be helpful to researchers in moving forward with unaddressed health-related problems and other solutions concerning the student's health. © 2022 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Customer Evaluation And Profit Maximization Using machine learning for Offline Stores 3

Customer Evaluation And Profit Maximization Using Machine Le...

引用

3rd international conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022

作者： Gopinath, Abhijith Joy, Aloysius Wilson, Joyal Saji, Shamjith Devasia, Jeethu V Vimal Jyothi Engineering College Department of Computer Science and Engineering Chemperi670632 India

ISBN: (数字)9781665410052

ISBN: (纸本)9781665410052

Proper planning is essential for a long-term business. This can be done by implementing proper marketing strategies from time to time. machine learning can play a key role in decision-making. machine learning can play a key role in decision-making. This paper proposes a systematic approach which can help offline stores target their customers and obtain maximum profit by using the clustering application of machine learning. It helps offline stores get the benefits of the latest technologies in their business. The initial step for this system is to analyse the acquired sales data based on the purchase history, which will be used to group the customers. K-Means clustering is used to segment customers. Later, the most preferred product of each cluster is determined, and the result of this can be used by the shopkeepers to analyse their business and make good decisions for the long life of the business. It can assist offline stores in finding different groups of customers rather than viewing the entire customer as a single unit. © 2022 IEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 3rd international conference on Information Systems and Software Technologies, ICI2ST 2022

Proceedings - 3rd International Conference on Information Sy...

引用

3rd international conference on Information Systems and Software Technologies, ICI2ST 2022

ISBN: (纸本)9781665455176

The proceedings contain 25 papers. The topics discussed include: a convolutional neural network-based web prototype to support melanoma skin cancer detection;person re-identification system in a controlled environment based on soft biometric features: clothing color and body silhouette collected on short video sequences using computer vision and machine learning algorithms;identifying defective fruits and vegetables with hyper-spectral images: a brief tutorial;development of a video surveillance web application for the use of biosafety equipment with image recognition for workspaces;person re-identification using soft-biometric features: body silhouette and clothing texture in a multi-camera video surveillance environment;systematic mapping: translator language from sign language to Colombian formal language;evaluating extended reality application for a virtual museum. case study: Remigio Crespo Museum;and development of a system to detect stress using electrocardiographic signals and machine learning models.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Predicting A New Hotel Rating System by Analysing UGC Content from Tripadvisor: machine learning application to Analyse Service Robots Influence 3

Predicting A New Hotel Rating System by Analysing UGC Conten...

引用

3rd international conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Calero-Sanz, Jorge Orea-Giner, Alicia Villace-Molinero, Teresa Munoz-Mazon, Ana Fuentes-Moraleda, Laura Rey Juan Carlos Univ Signal & Commun Theory & Telemat Syst & Comp Madrid Spain Tech Univ Madrid Dept Appl Math & Stat EIAE Madrid Spain Rey Juan Carlos Univ High Performance Res Grp OPENINNOVA Madrid Spain Univ Paris 1 Pantheon Sorbonne EIREST Paris France Rey Juan Carlos Univ Business Econ Madrid Spain Rey Juan Carlos Univ Ctr Univ Estudios Turist Madrid Spain

Industry 4.0 tools permit computerized creation measures, and Artificial Intelligence (AI) approaches are pivotal in investigating the travel industry. Applying these devices to decipher User Generated Content (UGC) is fundamental to understand better client's necessities, opinions, and assumptions regarding tourism services. Through this research, an exploratory analysis of results is developed through machine learning Models to understand better the role played by robot and traveler typologies on the rating given to hotels considering TripAdvisor reviews of 74 hotels. The purpose of this exploratory research is to develop a methodology focused on analyzing online reviews related to service robots in hotels using machine learning techniques to train the data collected from TripAdvisor. Preliminary results show a link between the hotel rating given in TripAdvisor and the robot typology implemented in hotels. (C) 2022 The Authors. Published by Elsevier B.V.

关键词： robot typology traveler TripAdvisor Rating machine learning

来源：评论

学校读者我要写书评

暂无评论

Proceedings of 3rd international conference on Latest Trends in Electrical Engineering and Computing Technologies, INTELLECT 2022

Proceedings of 3rd International Conference on Latest Trends...

引用

3rd international conference on Latest Trends in Electrical Engineering and Computing Technologies, INTELLECT 2022

ISBN: (纸本)9781665487061

The proceedings contain 23 papers. The topics discussed include: an intelligent QR code scanning system for visually-impaired users;a computer aided technique for classification of patients with diabetes;an applied artificial intelligence technique for early prediction of diabetes disease;polarization-insensitive metalens with high efficiency for optical fiber communication;electrocardiograph based obstructive sleep apnea diagnoses;an application of artificial intelligence for an early and effective prediction of heart failure;an integrated machine learning framework for classification of cirrhosis, fibrosis, and hepatitis;heart attack prediction using machine learning approach;design of unit cells for groove gap waveguide at millimeter wave spectrum;future position estimation in case of GPS outages;design of customized high-performance on-chip and off-chip inductor to transmit power in millimeter distance compared with contrasting electromagnetic simulators;and application of digital twin technology in the field of autonomous driving test.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Novel Strategy for Gender Identification from Hand Dorsal Images using computer Vision 3

A Novel Strategy for Gender Identification from Hand Dorsal ...

引用

3rd international conference on Computing Methodologies and Communication (ICCMC)

作者： Chakrabarty, Navoneel Jalpaiguri Govt Engn Coll Dept CSE Jalpaiguri 735121 W Bengal India

ISBN: (纸本)9781538678084

Criminal Investigations and Archaeological Studies often involve Gender Determination from different body parts when dismembered human remains are encountered. The body parts may include hair or hand in criminal investigations and hand bone length or hand to index finger length ratio in archaeological research. Often in crimes or even in accidents, Forensic Science comes into play. Forensic Science, by definition, is the scientific application of criminal and civil laws for collection of scientific evidences for prosecution or defense or both. So, in Forensic Research, Gender Determination is a very integral part especially from hair or hand, which becomes difficult for anyone other than Forensic Scientists, to conclude. This study aims at classification of the gender of an individual into male and female from the image of his or her dorsal side of hand. A Deep learning-machine learning Hybrid Model is developed, yielding a Validation Accuracy of 100% and Recall of 1.0. Such an Automated System is highly essential in making Forensic Research, easy and hence swift analysis of scientific evidences.

关键词： Forensic Science classification dorsal Deep learning machine learning

来源：评论

学校读者我要写书评

暂无评论

Technology Analysis of Network Anomalous Behavior Detection Based on machine learning 3

Technology Analysis of Network Anomalous Behavior Detection ...

引用

3rd international conference on Big Data, Artificial Intelligence and Internet of Things Engineering, ICBAIE 2022

作者： Wu, Shuguang Wang, Hongyan Wang, Yu Yan, Nanjiang Space Engineering University School of Space Information Beijing China Beijing Space Information Relay Research Centre Beijing China

ISBN: (数字)9781665451604

ISBN: (纸本)9781665451604

In the increasingly changing network environment, network anomalous behaviors show a trend of concealment and complexity, and it is crucial to detect anomalous behaviors and eliminate hidden dangers to enhance network system security. Researchers have applied machine learning methods to anomaly detection and achieved good results. This paper presents a review of these studies. First, the concept of anomalous behavior, its sources and its analysis methods are introduced, and then an overview of the application of machine learning methods is given, detailing in order the commonly used datasets, data pre-processing methods and the application of machine learning in anomaly detection. Finally, the advantages and disadvantages of different methods are summarized, and the main challenges and solution ideas faced in the current anomaly detection tasks are analyzed. © 2022 IEEE.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Improvised Extreme learning machine for Crop Yield Prediction 3

Improvised Extreme Learning Machine for Crop Yield Predictio...

引用

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

作者： Vashisht, Swati Kumar, Praveen Trivedi, Munesh Chandra Amity University Computer Science and Engineering UP India National Institute of Technology Computer Science and Engineering Agartala India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

machine learning is effectively involved in crop yield prediction as a decision support tool including which crops to grow in a specific region and how to increase their yield in the reaping and growing season of the crops. A number of deep learning techniques, neural network architectures and prediction models have been employed to assist crop yield prediction research. This study proposes extreme learning machine to predict crop yield, we performed data pre-processing using Kalman Filter Algorithm, certain features have been extracted using Linear Discriminant Analysis and crop prediction is done by using an improved version of Extreme Linear machine. Yield of rice crop has been predicted based upon geography, season and area of cultivation. © 2022 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Overview of Botnet Detection Based on machine learning 3

Overview of Botnet Detection Based on Machine Learning

引用

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

作者： Dong Xiaxin Hu Jianwei Cui Yanpeng Xidian Univ Sch Cyber Engn Xian Shaanxi Peoples R China

ISBN: (纸本)9781538684818

With the rapid development of the information industry, the applications of Internet of things, cloud computing and artificial intelligence have greatly affected people's life, and the network equipment has increased with a blowout type. At the same time, more complex network environment has also led to a more serious network security problem. The traditional security solution becomes inefficient in the new situation. Therefore, it is an important task for the security industry to seek technical progress and improve the protection detection and protection ability of the security industry. Botnets have been one of the most important issues in many network security problems, especially in the last one or two years, and China has become one of the most endangered countries by botnets, thus the huge impact of botnets in the world has caused its detection problems to reset people's attention. This paper, based on the topic of botnet detection, focuses on the latest research achievements of botnet detection based on machine learning technology. Firstly, it expounds the application process of machine learning technology in the research of network space security, introduces the structure characteristics of botnet, and then introduces the machine learning in botnet detection. The security features of these solutions and the commonly used machine learning algorithms are emphatically analyzed and summarized. Finally, it summarizes the existing problems in the existing solutions, and the future development direction and challenges of machine learning technology in the research of network space security.

关键词： machine learning botnet detection network security

来源：评论

学校读者我要写书评

暂无评论

Risk-Aware Linear Bandits with application in Smart Order Routing 22

Risk-Aware Linear Bandits with Application in Smart Order Ro...

引用

3rd ACM international conference on AI in Finance (ICAIF)

作者： Ji, Jingwei Xu, Renyuan Zhu, Ruihao Univ Southern Calif ISE Dept Los Angeles CA 90007 USA Cornell Univ SC Johnson Coll Business Ithaca NY USA

ISBN: (纸本)9781450393768

Motivated by practical considerations in machine learning for financial decision-making, such as risk-aversion and large action space, we initiate the study of risk-aware linear bandits. Specifically, we consider regret minimization under the mean-variance measure when facing a set of actions whose reward can be expressed as linear functions of (initially) unknown parameters. We first propose the Risk-Aware Explore-then-Commit (RISE) algorithm driven by the variance-minimizing G-optimal design. Then, we rigorously analyze its regret upper bound to show that, by leveraging the linear structure, the algorithm can dramatically reduce the regret when compared to existing methods. Finally, we demonstrate the performance of the RISE algorithm by conducting extensive numerical experiments in a synthetic smart order routing setup. Our results show that the RISE algorithm can outperform the competing methods, especially when the decision-making scenario becomes more complex.

关键词： online learning bandit regret analysis machine learning theory smart order routing algorithmic trading mean-variance risk-aware decision-making

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 << < 16 17 18 19 20 21 22 23 24 25 > >>

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：