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

1,890 篇 会议
6 册 图书
1 篇 期刊文献

馆藏范围

1,897 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,395 篇 工学
- 1,275 篇 计算机科学与技术...
- 1,022 篇 软件工程
- 318 篇 生物工程
- 311 篇 信息与通信工程
- 190 篇 生物医学工程（可授...
- 162 篇 控制科学与工程
- 124 篇 电气工程
- 120 篇 光学工程
- 83 篇 机械工程
- 74 篇 化学工程与技术
- 65 篇 安全科学与工程
- 63 篇 网络空间安全
- 54 篇 电子科学与技术（可...
- 48 篇 仪器科学与技术
760 篇 理学
- 399 篇 数学
- 327 篇 生物学
- 173 篇 统计学（可授理学、...
- 152 篇 物理学
- 134 篇 系统科学
- 83 篇 化学
449 篇 管理学
- 253 篇 管理科学与工程(可...
- 232 篇 图书情报与档案管...
- 131 篇 工商管理
175 篇 医学
- 166 篇 临床医学
- 159 篇 基础医学(可授医学...
- 117 篇 药学(可授医学、理...
- 63 篇 公共卫生与预防医...
82 篇 教育学
- 82 篇 教育学
77 篇 法学
- 69 篇 社会学
52 篇 农学
- 51 篇 作物学
46 篇 经济学
4 篇 军事学

主题

325 篇 machine learning
135 篇 deep learning
78 篇 support vector m...
65 篇 machine learning...
55 篇 forecasting
46 篇 feature extracti...
37 篇 decision trees
35 篇 computational mo...
34 篇 accuracy
34 篇 computer vision
30 篇 predictive model...
29 篇 training
29 篇 convolutional ne...
28 篇 data mining
28 篇 students
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 gupta rajeev kum...
3 篇 singh sunil kuma...
3 篇 rehman faisal
3 篇 tina babu
3 篇 yang wei
3 篇 sharma avinash
3 篇 prajwal

语言

1,776 篇 英文
119 篇 其他
18 篇 中文

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

共 1897 条记录，以下是781-790 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：

DBrAL: A Novel Uncertainty-Based Active learning Based on Deep-Broad learning for Medical Image Classification 33rd

DBrAL: A Novel Uncertainty-Based Active Learning Based on De...

引用

33rd international conference on Artificial Neural Networks and machine learning (ICANN)

作者： Wu, Hongjiang Zhong, Yuping Han, Guoqiang Lin, Jiatai Liu, Zaiyi Han, Chu South China Univ Technol Guangzhou Peoples R China Guangdong Prov Key Lab Artificial Intelligence Me Guangzhou Peoples R China Guangdong Prov Peoples Hosp Guangzhou Peoples R China

ISBN: (纸本)9783031723520;9783031723537

Medical image classification is the foundational task in medical image analysis which depends on the high-quality annotated training data. Due to the high cost of medical image annotation and the strong heterogeneity of medical data, how to acquire high-quality annotation under the limited labeling budget has become a core requirement. Active learning (AL) provides a human-in-the-loop labeling scheme to reduce the labeling cost by selecting more valuable samples from unlabeled sets to be labeled. Uncertainty-based and diversity-based methods are the most mainstream active learning strategy. Recently, gradient information has been innovatively used to estimate model change as uncertainty and diversity for data sampling. However, gradient-based approaches may cause the problem of gradient vanishing or exploding by insufficient training samples. To avoid this problem, our idea is to measure the model change of each query sample in a gradient-free way. This paper proposes a deep-broad active learning (DBrAL) strategy to achieve this by utilizing the incremental learning of a broad learning system (BLS) to calculate the weight changes. DBrAL first extracts the features from the deep learner and uses them to fix the BLS. Then, incremental learning is used to quantifya the weight change for each query sample. Since DBrAL directly establishes the relationship between query samples and the classification hyperplane, it avoids the problem of gradients, which can be more reliable. In the experiment, we demonstrate the effectiveness of our DBrAL on two public medical image classification datasets compared with several SOTA methods.

关键词： Medical image classification Broad learning system Active learning

来源：评论

学校读者我要写书评

暂无评论

application of online education platform technology in hybrid teaching of basic computer courses in medical colleges and universities 3

Application of online education platform technology in hybri...

引用

3rd international conference on Education, Knowledge and Information Management, ICEKIM 2022

作者： Hu, Shuyu Wang, Xiaofei Jinzhou Medical University College of Biological Information JZMU Jinzhou China Jinzhou Medical University Center for Medical Education Research JZMU Jinzhou China

ISBN: (纸本)9781665416665

This article illustrates the online education platform technology of contemporary education and students' learning mode change and influence, and the technology to promote the development of derivatives of hybrid teaching concept, both at home and abroad present situation and existing problems, and through to the medical profession and carried on the thorough analysis of the characteristics of computer courses, through the strong support of the online education platform technology, In the teaching goal, curriculum resource development, to build hybrid curriculum implementation, formative assessment established medical college computer basic course reform model depth fusion, practice and summary and online education platform technology plays an indispensable role in hybrid teaching, online depth fusion teaching reform and innovation of teaching mode, It stimulates students' learning enthusiasm, steadily improves the degree of knowledge transfer, and promotes the improvement of talent training quality in medical higher education, which has important practical significance for the development of higher education. © 2022 IEEE.

关键词： Teaching

来源：评论

学校读者我要写书评

暂无评论

Crypto Profit Forecasting using hybrid machine learning method 3

Crypto Profit Forecasting using hybrid Machine Learning meth...

引用

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

作者： Zhong, Qi Huo, Mingda Tongji University Shanghai China Jinan University Guangzhou China

ISBN: (数字)9781665451604

ISBN: (纸本)9781665451604

The resulting digital cryptocurrency has drawn investors' attention with its new architectural design and soaring prices. Over 40 billion worth of cryptocurrencies are traded every day. Quantitative investment is a new type of investment method. It belongs to the cross-integration of finance, mathematics, statistics and computer science. In our paper, we hybrid Catboost and XGboost for Crypto Forecasting. The dataset is provided by Kaggle platform. To compare our model's performance, we do compared experiments. From the compared experiments, our model owns the highest RMSPE: 0.0359. In contrast, the other methods like Gradient Boosting, XGBoost and CatBoost's accuracy are 0.0312, 0.0349 and 0.0355 respectively. © 2022 IEEE.

关键词： Investments

来源：评论

学校读者我要写书评

暂无评论

NCSML-HDTD: Network Centrality and Sequence-Based machine learning Methodology for Human Drug Targets Discovery of COVID-19 3rd

NCSML-HDTD: Network Centrality and Sequence-Based Machine Le...

引用

The 3rd international conference on Frontiers in Computing and Systems (COMSYS 2022)

作者： Jha, Shalini Das, Chandrima Saha, Sovan Department of Computer Science and Engineering Institute of Engineering and Management Salt Lake Electronics Complex West Bengal Kolkata700091 India Techno Main Salt Lake Sector V Bidhannagar West Bengal Kolkata700091 India

ISBN: (纸本)9789819926794

Identifying druggable human proteins is crucial to combat certain diseases like COVID-19. This actually paves the way for implementing the drug repurposing study for any disease whose drugs are still unknown. Network Centrality obtained from Protein–Protein Interaction Network and various protein sequence-based features is essential in determining how much a particular protein is relevant in the entire protein–protein interaction network. The more the protein becomes relevant, the more the possibility of that protein to become a target for drugs. This research proposes a methodology named NCSML-HDTD (Network Centrality and Sequence-based machine learning Methodology for Human Drug Targets Discovery), which implements several machine learning models like Logistic Regression, Decision Tree model, Random Forest model, Support Vector Classification, AdaBoost Classifier, and XGBoost Classifier to identify potential COVID-19 drug targets using several significant protein networks and sequence features. Once all the models' performance is estimated, NCSML-HDTD deploys the best-performing machine learning classifier to search for novel COVID-19 drug targets, which are also further validated by existing COVID-19 in silico and in vitro-based literature studies. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

machine learning Methods in Predicting Down Syndrome 3

Machine Learning Methods in Predicting Down Syndrome

引用

3rd international conference on Electronics and Communication;Network and computer Technology (ECNCT)

作者： Yan, Yuqi Wang, Yihan Yu, Yimin Beijing Univ Technol Beijing Peoples R China Ohio State Univ Columbus OH 43210 USA Southeast Univ Nanjing Jiangsu Peoples R China

ISBN: (数字)9781510652118

ISBN: (纸本)9781510652118;9781510652101

Part causes down syndrome or all the third copy of chromosome 21, has been discovered for over a hundred years. Although many studies have been carried in this field to find out how to cure the patients or animals, no researchers can fully treat this disease. Thus, this research manages to analyze the expression level of the proteins encoded by the genes in mice with down syndrome by using the binary logistic regression method. The consequence shows that two significant proteins are affected most -- ITSN1_N and BRAF_N. Behind this, the predicted data are carried by 10-folds cross-validation, then find out the result has high accuracy. Moreover, the data are randomly divided into 20%, 40%, 60%, and 80% to test the relationship between data quantity and accuracy, and it shows that the more data amount, the more precise it can be.

关键词： machine learning syndrome disease

来源：评论

学校读者我要写书评

暂无评论

Systematic Development of a Competence Profile for Industrial Logistics Engineering Education 3

Systematic Development of a Competence Profile for Industria...

引用

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

作者： Pacher, Corina Woschank, Manuel Rauch, Erwin Zunk, Bernd M. Graz Univ Technol Life Long Learning Rechbauerstr 12 A-8010 Graz Austria Univ Leoben Chair Ind Logist Erzherzog Johann Str 3-1 A-8700 Leoben Austria Free Univ Bozen Bolzano Univ Pl 1 I-39100 Bolzano Italy Graz Univ Technol Inst Business Econ & Ind Sociol Rechbauerstr 12 A-8010 Graz Austria

In recent years, the systematic development of competencies based on the concept of Industry 4.0 can be considered as the main opportunity to strengthen the competitiveness of both small- and medium-sized enterprises and larger corporations. However, especially within the engineering disciplines, there still seems to be a lack of understanding in terms of building, respectively reshaping, application-orientated competence profiles according to the requirements and needs of industry and society. This paper designs an exemplary competence profile for industry logistics engineering education by referring to the recent literature on competence development. As a result, professional and transversal competences are discussed in the areas of inbound, production, and outbound logistics. The results can be used as a reference for the systematic development of transdisciplinary competence development within industrial engineering education initiatives. (C) 2022 The Authors. Published by Elsevier B.V.

关键词： Industry 4.0 Engineering Education Competence Profile Logistics

来源：评论

学校读者我要写书评

暂无评论

Analysis on the Balance of Health Care Resource Allocation Based on Improved machine learning 3rd

Analysis on the Balance of Health Care Resource Allocation B...

引用

3rd EAI international conference on IoT and Big Data Technologies for Health Care, IotCARE 2022

作者： Wang, Ying Li, Helin Xiamen Institute Of Technology Xiamen361000 China Sanmenxia Polytechnic Sanmenxia472000 China

ISBN: (纸本)9783031335440

Health resource planning is an important means for the government to adjust resource allocation and achieve fair and efficient development of health. Its core is the balanced allocation of health resources. In order to solve the problem of low accuracy of health resource demand prediction, an analysis method of health resource allocation equilibrium based on improved machine learning was designed. Using the two-step mobile search method, combined with the Gaussian distance attenuation function and the search threshold set according to the classification of medical facilities, the spatial accessibility of weekday medical services is calculated. Based on the improved machine learning, the demand for health resources is predicted, and the change of resource characteristics and relevant policy variables leads to the change of health resource demand. According to the prediction results of the demand for health care resources, a supply-demand coordination model is constructed to measure the degree of coupling and coordination and the level of hierarchy. Lorentz curve was used to quantify the accessibility distribution of medical resources, Gini coefficient and global Moran index were calculated, and the equilibrium of health resource allocation was analyzed. The results show that this method can accurately predict the demand for health resources, and get the analysis results of allocation balance, which is conducive to the overall integration of medical resources. © 2023, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Health care

来源：评论

学校读者我要写书评

暂无评论

DDSupport: Language learning Support System that Displays Differences and Distances from Model Speech 21

DDSupport: Language Learning Support System that Displays Di...

引用

21st IEEE international conference on machine learning and applications (IEEE ICMLA)

作者： Kawamura, Kazuki Rekimoto, Jun Univ Tokyo Tokyo Japan Sony CSL Kyoto Kyoto Japan

ISBN: (纸本)9781665462839

When beginners learn to speak a non-native language, it is difficult for them to judge for themselves whether they are speaking well. Therefore, computer-assisted pronunciation training systems are used to detect learner mispronunciations. These systems typically compare the user's speech with that of a native speaker in units of rhythm, phonemes, or words, and calculate the differences. However, they require extensive speech data with detailed annotations of non-native and native speakers, which are usually difficult to collect. To overcome this problem, we propose a new language learning support system that detects mispronunciations by beginners based on a small amount of unannotated native speaker speech data. The proposed system uses deep learning-based speech processing to display the pronunciation score of the learner's speech and the difference/distance between the learner's and the model's pronunciation in an intuitively visual manner. Learners can gradually improve their pronunciation by eliminating differences and shortening the distance from the model until they become sufficiently proficient. We also built an application to help non-native speakers learn English and confirmed that it can improve users' speech intelligibility.

关键词： computer-aided language learning (CALL) computer-assisted pronunciation training (CAPT) audio and speech interfaces deep learning

来源：评论

学校读者我要写书评

暂无评论

Intelligent Tracking Technology of Sensitive Data Based on Tag Distribution learning 3

Intelligent Tracking Technology of Sensitive Data Based on T...

引用

2022 3rd international conference on computer Information and Big Data applications, CIBDA 2022

作者： Zhou, Xiaoming Yu, Hai Yu, Pengfei Ziyi, Teng State Grid Liaoning Electric Power Supply Co. Ltd State Grid of China Shenyang China State Grid Liaoning Information and Communication Company State Grid of China Shenyang China State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute Co. Ltd Nanjing China

ISBN: (纸本)9783800758760

The frequent interaction and sharing of massive data in the big data environment brings increasingly serious data security problems, such as the theft of data by illegal users, the unauthorized use of data by legitimate users, and the illegal dis-closure and dissemination of data. In practical application, the phenomenon of data leakage is inevitable due to the influ-ence of environmental and human factors, but there are few studies on the traceability of data after data leakage. Data traceability means that when the data leaked to a third party is captured, the source head and relevant responsible person can be traced by analyzing the relevant characteristics of the illegal data. This paper studies the intelligent tracking tech-nology of sensitive data based on tag distribution learning, which consists of three stages: tag generation technology of sensitive data content, tag distribution generation method and tag distribution comparison technology of sensitive data. Firstly, aiming at the problem that the existing machine learning algorithm has low recognition accuracy for sensitive data with no significant features, the sensitive data content tag generation technology is studied, and the tags of structured data and unstructured data are extracted. Secondly, the generation method of label distribution is studied to realize data multi-label identification based on label distribution descriptor model. Finally, the label distribution comparison technol-ogy of sensitive data is studied to realize accurate identification and tracking of sensitive data based on label distribution learning. Aiming at the problem of frequent data flow and difficult monitoring of sensitive data flow, the generation of sensitive digital tags and the construction of association relationship in the process of data flow are studied, and the data tracking technology based on tag recognition is studied to realize the dynamic tracking and security monitoring of sensi-tive data. © VDE VERLAG GMBH -

关键词： Sensitive data

来源：评论

学校读者我要写书评

暂无评论

Transformative Insights: Harnessing machine learning for Big Data Analytics 3

Transformative Insights: Harnessing Machine Learning for Big...

引用

3rd international conference on Technological Advancements in Computational Sciences, ICTACS 2023

作者： Bhatt, Chandradeep Sagta, Divas Chauhan, Rahul Dhondiyal, Shiv Ashish Sharma, Sanjay Baloni, Dev Graphic Era Hill University Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Computer Science and Engineering Dehradun India Sgrr Univeristy Computer Application Department Dehradun India Quantum University Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350342338

Like oil in the past, data has become a very important resource in the modern world. But just as oil must be refined in order to be valued, data must also be handled and evaluated in order to yield worthwhile insights. Big Data analytics is a discipline that has developed in response to the expanding demand for efficient data analysis and interpretation. In order to find hidden patterns, connections, and insights, it involves examining huge, complicated datasets utilizing cutting-edge tools and methods. Big Data analytics' importance stems from its capacity to decipher the secrets contained in any dataset and glean insightful information. When appropriately analyzed and addressed, these insights can produce beneficial results. Big Data Analytics is extremely important in the context of consumer behavior. This technology is being used by marketers more frequently to analyze customer behaviors more accurately. Marketers can better understand their target market's preferences, demands, and buying habits by analyzing customer behavior. With the use of this information, marketers can make more informed choices and modify their marketing plans to specifically address customer needs. In the end, this may help to improve firm performance outcomes including boosted sales, enhanced client contentment, and general expansion. The aforementioned study seeks to offer a thorough overview of Big Data technology, including its goal, importance, and potential applications. It also looks into how Big Data technologies affect customer behavior and overall business effectiveness. The goal of this study is to shed light on these elements and the potential advantages and consequences of applying big data analytics across different fields. © 2023 IEEE.

关键词： Big Data Data Analytics machine learning rdBMS

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190页 << < 75 76 77 78 79 80 81 82 83 84 > >>

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：