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

588 篇 会议
13 篇 期刊文献
2 册 图书

馆藏范围

603 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

471 篇 工学
- 412 篇 计算机科学与技术...
- 218 篇 软件工程
- 112 篇 信息与通信工程
- 80 篇 电气工程
- 71 篇 控制科学与工程
- 29 篇 生物工程
- 27 篇 机械工程
- 21 篇 交通运输工程
- 19 篇 石油与天然气工程
- 18 篇 安全科学与工程
- 16 篇 电子科学与技术（可...
- 16 篇 网络空间安全
- 14 篇 生物医学工程（可授...
- 13 篇 光学工程
- 13 篇 动力工程及工程热...
- 9 篇 力学（可授工学、理...
- 8 篇 环境科学与工程（可...
162 篇 管理学
- 118 篇 管理科学与工程(可...
- 78 篇 图书情报与档案管...
- 56 篇 工商管理
117 篇 理学
- 77 篇 数学
- 41 篇 统计学（可授理学、...
- 32 篇 生物学
- 19 篇 物理学
- 16 篇 系统科学
21 篇 法学
- 20 篇 社会学
18 篇 经济学
- 18 篇 应用经济学
16 篇 医学
- 15 篇 基础医学(可授医学...
- 14 篇 临床医学
- 11 篇 公共卫生与预防医...
7 篇 农学
3 篇 教育学
1 篇 文学
1 篇 军事学

主题

100 篇 big data
27 篇 cloud computing
26 篇 machine learning
24 篇 artificial intel...
19 篇 deep learning
15 篇 conferences
14 篇 computational mo...
13 篇 data mining
12 篇 internet of thin...
11 篇 edge computing
10 篇 optimization
10 篇 blockchain
10 篇 data models
8 篇 neural networks
8 篇 mapreduce
8 篇 clustering algor...
7 篇 semantics
7 篇 training
6 篇 reinforcement le...
6 篇 hadoop

机构

9 篇 college of compu...
7 篇 anhui xinhua uni...
7 篇 school of big da...
7 篇 national univers...
4 篇 nanjing univ pos...
4 篇 jiangsu engn lab...
4 篇 nanjing univ pos...
4 篇 school of comput...
3 篇 univ chinese aca...
3 篇 beijing univ pos...
3 篇 north univ china...
3 篇 college of intel...
3 篇 deakin universit...
3 篇 nanjing univ sci...
3 篇 nanjing univ inf...
2 篇 univ sci & techn...
2 篇 school of artifi...
2 篇 people's liberat...
2 篇 information and ...
2 篇 shanghai univ sc...

作者

9 篇 mariano vladimir...
6 篇 xu xiaolong
5 篇 yue dong
4 篇 zhang tengfei
4 篇 zhang peng
4 篇 li wei
4 篇 wang yong
3 篇 dai fei
3 篇 shang yu
3 篇 hu bin
3 篇 zhang rui
3 篇 ren fuji
3 篇 blancaflor eric
3 篇 gui zhiguo
3 篇 qiang zhang
3 篇 wu chao
3 篇 cao yong
3 篇 abisado mideth
3 篇 li lei
3 篇 zhang ming

语言

586 篇 英文
11 篇 其他
6 篇 中文

检索条件"任意字段=5th IEEE International Conference on Big Data Intelligence and Computing, DataCom 2019"

共 603 条记录，以下是61-70 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：

Enhanced Sentiment Analysis of Medical Application using BERT and TextCNN 5

Enhanced Sentiment Analysis of Medical Application using BER...

引用

5th international conference on Machine Learning, big data and Business intelligence, MLBDBI 2023

作者： Shi, Wenyu Mariano, Vladimir Y. National University College of Computing and Information Technologies Manila Philippines Anhui Xinhua University School of Big Data and Artificial Intelligence Hefei Anhui230088 China

ISBN: (纸本)9798350359930

As Internet technology advances increasingly, the Internet penetration rate in every area of the world is gradually increasing, and there are more and more Internet users, and the e-commerce platform has also grown. In order to help doctors understand the patient's psychological state and supply better diagnosis and treatment., all major hospital and online medical platforms provide comment areas to display the comments made by patients with previous medical experience. By collecting and interpreting the text of published comments for sentiment analysis, users can get the real opinions of other users about doctors and hospitals, and doctors and hospitals can also see first-hand feedback from patients. However, with the accumulation of comment text, it is difficult for users to easily obtain effective information just because of massive text data, and the emotional tendency obtained by traditional analysis algorithms is relatively vague. therefore, it is very important to quickly obtain the overall emotional orientation of the review text and accurately obtain the emotional orientation of all aspects in the review. A model integrating BERT and TextCNN is hereinto proposed to extract emotional features and analyze emotional information in the comments. the experiment results on comment dataset of medical application indicate that this approach performs well. © 2023 ieee.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Cognitive Solution for MultimediaAccess 5

Cognitive Solution for MultimediaAccess

引用

5th international conference on Artificial intelligence, big data, computing and data Communication Systems (ICABCD)

作者： Periola, A. A. Alonge, A. A. Ogudo, K. A. Univ Johannesburg Dept Elect & Elect Engn Technol Johannesburg South Africa

ISBN: (数字)9781665484220

ISBN: (纸本)9781665484220

Subscribers seeking to access multimedia content utilize wireless networks significantly. Multimedia access is influenced and impaired by variability in the availability of wireless access links. the impairment arises due to the occurrence of rain induced attenuation. this results in a multimedia content viewing gap (MCVG). the proposed research addresses the challenge of the MCVG and proposes the incorporation of artificial intelligence with computing and networking entities in enabling the creation of multi - media content. this is done aboard entities located in the subscriber residence instead of entities that were previously out of the subscriber residence. Performance analysis shows that the proposed mechanism outperforms existing mechanism and reduces access costs by at least 22.6% and up to 71% on average. the proposed mechanism also enhances the content access duration by 35.6%.

关键词： Multimedia Content Wireless Networks Access Costs Access Duration Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

the Secure computing Architecture for Dual Hard Disk and Dual System Switching 5

The Secure Computing Architecture for Dual Hard Disk and Dua...

引用

5th ieee international conference on big data and Artificial intelligence (BDAI)

作者： Zhao, Yue Lin, Leyu Niu, Yiru Wu, Kaijun Hao, Yao Su, Hong Yang, Yarang Sci & Technol Commun Secur Lab Chengdu 610041 Peoples R China Kashi Univ Coll Phys & Elect Engn Kashi 84006 Peoples R China

ISBN: (数字)9781665470810

ISBN: (纸本)9781665470810

this paper proposes a secure computing architecture based on the dual hard disk and dual system switching ((DS)-S-3), and provide the mechanism of sensitive data copy and transmission processing for the two operating environments of the computer. It can not only provide a secure computing environment for all processing links involving sensitive files, but also resist various possible malicious attacks. the experimental simulation results show that the D3S architecture has obvious performance advantages in both the data delivery ratio and the memory computing overhead. When the size of the copied sensitive file is 50MB, the copy time overhead of (DS)-S-3 is 1.12s. the secure transmission rate of sensitive data of (DS)-S-3 architecture is significantly better than that of other existing architectures, which has been maintained at about 8.5 Mbps.

关键词： secure computing architecture the dual hard disk and dual system switching sensitive data secure transmission sensitive file copy and output

来源：评论

学校读者我要写书评

暂无评论

Topic Mining of Alzheimer's Disease Field Based on BERTopic 5

Topic Mining of Alzheimer's Disease Field Based on BERTopic

引用

5th international conference on Robotics, Intelligent Control and Artificial intelligence, RICAI 2023

作者： Shen, Juan Mariano, Vladimir Y. College of Computing and Information Technologies National University Manila Philippines School of Big Data and Artificial Intelligence Anhui Xinhua University Hefei230088 China

ISBN: (纸本)9798350357950

Alzheimer's disease is the most common progressive neurodegenerative disease in clinical practice, and it is also one of the main causes of disability and death in the elderly. Alzheimer's disease has become a major brain disease that seriously endangers the health of the elderly and affects the sustainable development of society and economy. As the number of people with Alzheimer's disease (AD) rises, the research on AD continues to heat up. Exploring the topic of literature research on Alzheimer's disease is intended to better sort out the research in this field. In this paper, the topic modeling method of BERTopic was applied to the literature on Alzheimer's disease research from 2000 to 2019, to identify the main research directions in this field, and to analyze the changing trend of topic intensity. Twenty research topics in this area were finally identified, and research on amyloid beta and tau was found to have declined significantly since 2016. In addition, this paper also evaluated and compared the quality of topic extraction of two models, LDA and BERTopic, and verified that the accuracy and effectiveness of topic mining results of Alzheimer's disease research based on BERTopic were superior to those generated by LDA model. © 2023 ieee.

关键词： Alzheimer's disease BERTopic Deep learning Topic mining

来源：评论

学校读者我要写书评

暂无评论

Compute First Networking Scheduling Strategy Based on Genetic Algorithm in Edge computing Environment 5th

Compute First Networking Scheduling Strategy Based on Geneti...

引用

5th international conference on big data and Security (ICBDS)

作者： Xu, Xiaowei Ding, Han Wang, Jiayu Hua, Liang State Grid Wuxi Power Supply Co Wuxi Jiangsu Peoples R China

ISBN: (纸本)9789819743896;9789819743902

In recent years, the research of distributed generation, especially renewable energy sources, have received unprecedented attention all over the world. the proportion of distributed new energy grid absorbed is increasing year by year, and the demand of smart grid for computing resources is diverse and dynamic. the mismatch between the existing computing communication architecture and the dynamic computing resource requirements of distributed business has become an important technical problem to be solved for the further intelligence of distribution network in the dual-carbon background. In this article, we propose a triple fitness genetic algorithm (TFGA) for make fast and accurate computing scheduling. Specifically, we first introduce a compute first networking scheduling framework in the edge cloud computing environment. Second, we improve task scheduling strategy in cloud computing by add two fitness in genetic algorithm, and maximize the efficiency of cloud computing environment by optimizing task scheduling, so as to make fast and accurate arithmetic scheduling. Subsequently, we conducted a comparison of simulation experiments between the Adaptive Genetic Algorithm (AGA) and TFGA, under identical environmental conditions. Extensive simulation results show that the system can effectively assist smart grid in rational arithmetic dispatch and improving resource utilization efficiency.

关键词： Compute first networking scheduling algorithm triple fitness genetic algorithm (TFGA) distributed generation genetic algorithm edge cloud computing adaptive genetic algorithm (AGA)

来源：评论

学校读者我要写书评

暂无评论

big data Analytics with Wild Horse Optimizer based Deep Learning Model for Healthcare Management 5

Big Data Analytics with Wild Horse Optimizer based Deep Lear...

引用

5th international conference on Inventive Research in computing Applications, ICIRCA 2023

作者： Vamsikrishna, M. Rs, Rajasree Gopika, G.S. Suganthi, D. Ala Walid, Md. Abul Kuchipudi, Ramu Department of Information Technology Andhra Pradesh Surampalem India New Horizon College of Engineering Department of Artificial Intelligence & Machine Learning Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Computer Science Tamilnadu Chennai India Saveetha College of Liberal Arts and Sciences Simats Department of Computer Science Tamilnadu Chennai India Department of Computer Science and Engineering Khulna9203 Bangladesh Chaitanya Bharathi Institute of Technology Department of Information Technology Telangana Hyderabad India

ISBN: (纸本)9798350321425

big data analytics in health service is the procedure of research in huge and different datasets, designed for uncovering hidden patterns, correlations, and trends for making the best decisions in medical field. the health and medical services are developed modern and smart healthcare platforms are made the analysis further robust for the treatment. the proper diagnosis of health records depends on primarily disease recognition and the value of accuracy is decreased if the clinical data quality is worse. But, the existing methods failed to use the learning model for handling heterogeneous healthcare information. therefore, this article introduces big data Analytics with Wild Horse Optimizer based deep Learning (BDAWHO-DL) model for Healthcare Management. the proposed BDAWHO-DL technique investigates the big data in medical field and makes decisions. To do so, the BDAWHO-DL technique exploits attention based long short term memory (ABLSTM) method for data classification purposes. Moreover, the WHO system was used for the optimal hyperparameter tuning procedure of the ABLSTM algorithm to boost the classifier outcomes. the experimental outcomes indicate the promising outcomes of the BDAWHO-DL algorithm over recent approaches. © 2023 ieee.

关键词： big data

来源：评论

学校读者我要写书评

暂无评论

Optimizing Building Energy Consumption using Smart Grid data 5

Optimizing Building Energy Consumption using Smart Grid Data

引用

5th international conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Neelakandan, Viduran Voleti, Sai Suraj Srinivasan, Dhanush Gouthaman, P. SRM Institute of Science and Technology School of Computing College of Engineering and Technology Department of Networking and Communications Kattankulathur603203 India

ISBN: (纸本)9798331530013

this research discusses how data analytics techniques can be applied in the enhancement of building energy management. It is therefore with the purpose of stimulating the right utilization of the practically inexhaustible quantity of data obtained through smart grids that this research seeks to design original approaches to energy management, building performance, and counteracting of negative impacts on the environment. Since Apache spark process is very efficient we do an excellent job in pre-processing and analyzing the data collected. Combining high-level artificial intelligence decision making tools like linear regression as well as the random forest, the relationship was established between energy utilization and determinants, forecast patterns and create accurate prognosis models. In order to present the results in a format that can be easily understood with the help of Tableau to build a data visualization where depending on the values chosen by the stakeholders further steps can be taken in achieving a more efficient use of energy and less expenditure. In our work, we strive to generate knowledge that will support improved energy efficiency of the built environment, and therefore a more sustainable future. the implications of our work have the ability to affect the processes within and energy usage of buildings, saving energies and making cities greener. Furthermore, our work can help with the creation of further reference points for future research in the field of building energy optimization. © 2024 ieee.

关键词： big data Building Efficiency Energy Optimization Machine Learning Predictive Analytics Smart Grids Sustainability

来源：评论

学校读者我要写书评

暂无评论

Artificial intelligence Agent to Identify the Correct Human Resources 5

Artificial Intelligence Agent to Identify the Correct Human ...

引用

5th international conference on Advancements in computing, ICAC 2023

作者： Jayasekara, Charithma Senarathne, Inukshi Wickramasinghe, Anjana Jayathilaka, Nethmini thelijjagoda, Samantha De Silva, Hansi Giguruwa, Nishantha Abeysinghe, Nilanga Sri Lanka Institute of Information Technology Malabe Sri Lanka Ritsumeikan Asia Pacific University Beppu Japan

ISBN: (纸本)9798350358131

this system presents an innovative approach to streamline traditional recruitment processes and assist human resources in selecting the ideal candidates who align with the company's objectives. By addressing individual job requirements, the system ensures a good match between candidates' personal traits and company goals, creating a favorable environment for interviews. the Smart Recruiting System consists of four stages: Resume Parsing and NER(Named Entity Recognition) Tagging, Skill Set Classification using big data Analysis, Communication with New Recruiters through a Chatbot, and Improving Productivity with a Human Resource Management Portal and Skill Matrix. the process involves using advanced NLP models to extract information from resumes, including Named Entity Recognition and custom entity recognition. big data Analysis is used to predict job-specific skill sets and identify appropriate candidates. An automated interview system is created, analyzing candidates' behavior based on the big 5 model. the system utilizes ASR, NLP, and deep-learning models to improve objectivity and efficiency. the Human Resource Management Portal integrates behavior analysis and candidate selection data, evaluating performance, training, and learning activities. the system identifies gaps in skills and connections, promoting cross-training and targeted development. this innovative approach combines advanced NLP, AI, and big data analytics to revolutionize recruitment practices. the demonstrated accuracy, efficiency, and objectivity show great potential for improving candidate selection, aligning individual skills with organizational goals, and ultimately enhancing the recruitment process. © 2023 ieee.

关键词： Human resource management

来源：评论

学校读者我要写书评

暂无评论

Enhanced data Integrity Encryption Algorithm for Cloud computing 5

Enhanced Data Integrity Encryption Algorithm for Cloud Compu...

引用

5th international conference on Artificial intelligence, big data, computing and data Communication Systems (ICABCD)

作者： Mothlabeng, Moloko P. Muchenje, Tonderai Mathonsi, Topside E. Du Plessis, Deon P. Tshwane Univ Technol Dept Informat Technol Pretoria South Africa

ISBN: (数字)9781665484220

ISBN: (纸本)9781665484220

Cloud computing storage services allow people to easily maintain and manage large amounts of data at a low cost. However, it cannot guarantee data integrity. data is transferred to unsafe and untrustworthy remote cloud servers. Meaning that data could be manipulated by unauthorized users or the service provider unintentionally, resulting in data loss or modification. As a result, protecting data from hackers has become crucial in order to maintain its integrity. the Enhanced data Integrity Encryption (EDIE) technique was proposed in this paper to enhance data integrity in cloud computing. the proposed algorithm is designed by integrating Moving Target Defense (MTD) and New Lightweight Cryptographic Algorithm (NLCA) . the EDIE algorithm used MTD to dynamically change network configurations and frequently confuse attackers, therefore minimizing the level of attacks and leading to enhanced data integrity. Computer simulation results further show that, compared to other traditional data integrity algorithms, EDIE yields an energy consumption of 6%, encounters the lowest level of 0.2% of all initiated man-in-the-middle attacks, and reduces server computing time by 21%.

关键词： Cloud computing data Integrity EDIE Moving Target Defence

来源：评论

学校读者我要写书评

暂无评论

Book Recommendation Algorithm Based on Time Information and Book Feature 5

Book Recommendation Algorithm Based on Time Information and ...

引用

5th international conference on Robotics, Intelligent Control and Artificial intelligence, RICAI 2023

作者： Yan, Chen Blancaflor, Eric Abisado, Mideth College of Computing and Information Technologies National University Manila Philippines School of Big Data and Artificial Intelligence Anhui Xinhua University Hefei China School of Information Technology Mapua University Manila Philippines

ISBN: (纸本)9798350357950

the development of online transactions and the explosive growth of book resources have led to increasingly diverse demands and choices for books among users, consequently changing the requirements for book recommendations. Traditional collaborative filtering algorithms are commonly employed in various recommendation systems, including book recommendations, to recommend targets based on nearby users or similar items. However, these algorithms fail to consider that a user's reading habits may change over time and do not account for the influence of popular books on similarity calculations between users and books, thereby interfering with the accuracy of recommendations. To address these issues, an improved cosine similarity calculation method is proposed in this study. this method reduces the impact of popular books on recommendation results by incorporating a penalty term while also capturing the dynamic changes in users' reading interests through the introduction of a time attenuation function. the effectiveness of this enhanced book recommendation algorithm is validated using the Goodbooks dataset. Experimental results demonstrate that this algorithm achieves lower Mean Absolute Error (MAE) compared to traditional approaches, leading to significantly improved quality in recommendations. © 2023 ieee.

关键词： book recommendation algorithm cosine similarity penalty term time attenuation function

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61页 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：