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

957 篇 会议
3 篇 期刊文献

馆藏范围

960 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

446 篇 工学
- 370 篇 计算机科学与技术...
- 335 篇 软件工程
- 116 篇 信息与通信工程
- 104 篇 生物工程
- 77 篇 生物医学工程（可授...
- 51 篇 电气工程
- 46 篇 控制科学与工程
- 35 篇 电子科学与技术（可...
- 35 篇 化学工程与技术
- 32 篇 光学工程
- 26 篇 安全科学与工程
- 25 篇 交通运输工程
- 23 篇 农业工程
- 22 篇 动力工程及工程热...
- 20 篇 建筑学
240 篇 理学
- 109 篇 数学
- 106 篇 生物学
- 50 篇 物理学
- 46 篇 统计学（可授理学、...
- 45 篇 系统科学
- 36 篇 化学
139 篇 管理学
- 83 篇 图书情报与档案管...
- 69 篇 管理科学与工程(可...
- 41 篇 工商管理
48 篇 医学
- 48 篇 临床医学
- 42 篇 基础医学(可授医学...
- 31 篇 药学(可授医学、理...
37 篇 法学
- 28 篇 社会学
27 篇 农学
- 26 篇 作物学
20 篇 经济学
- 20 篇 应用经济学
8 篇 教育学
2 篇 军事学

主题

157 篇 data engineering
129 篇 computer science
95 篇 conferences
75 篇 computational mo...
57 篇 data models
48 篇 predictive model...
47 篇 deep learning
45 篇 machine learning
44 篇 training
37 篇 feature extracti...
34 篇 neural networks
24 篇 support vector m...
24 篇 machine learning...
22 篇 covid-19
21 篇 computer archite...
18 篇 education
18 篇 visualization
18 篇 prediction algor...
17 篇 social networkin...
17 篇 industries

机构

10 篇 queensland unive...
9 篇 brac university ...
8 篇 school of comput...
8 篇 graduate school ...
7 篇 brac university ...
7 篇 school of comput...
7 篇 computer science...
7 篇 school of comput...
6 篇 department of co...
6 篇 school of engine...
6 篇 college of infor...
6 篇 school of comput...
5 篇 brac university ...
5 篇 school of inform...
5 篇 school of food a...
5 篇 doshisha univers...
5 篇 department of co...
5 篇 university of as...
5 篇 graduate school ...
5 篇 school of scienc...

作者

17 篇 neeraj anand sha...
12 篇 md. golam rabiul...
11 篇 sharma neeraj an...
11 篇 bibhya sharma
10 篇 md. ashraful ala...
9 篇 alam md. golam r...
9 篇 richard o. sinno...
9 篇 katsunori shimoh...
9 篇 shimohara katsun...
9 篇 a b m shawkat al...
8 篇 sharma bibhya
8 篇 girija chetty
7 篇 ryo shioya
7 篇 tanaka mizuki
7 篇 shioya ryo
7 篇 shiozu yurika
7 篇 hiromitsu shimak...
7 篇 kunal kumar
7 篇 alam md. ashrafu...
7 篇 mizuki tanaka

语言

953 篇 英文
7 篇 其他

检索条件"任意字段=2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022"

共 960 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：

Security of Internet of Things Devices: Ethical Hacking a Drone and its Mitigation Strategies

Security of Internet of Things Devices: Ethical Hacking a Dr...

引用

2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Karmakar, Gour Petty, Mark Ahmed, Hassan Das, Rajkumar Kamruzzaman, Joarder Institute of Innovation Science and Sustainability Federation University Australia Churchill Campus Australia Federation University Australia Information Technology Service Mount Helen Campus Australia

ISBN: (纸本)9781665453059

Internet of Things (IoT) is enabling us to introduce cost-effective, innovative and intelligent services in business, industrial, and government application domains. Despite these huge potential benefits of IoT applications, since the backbone of IoT is Internet and IoT connects numerous heterogeneous devices, IoT is vulnerable to many different attacks and thus has been a honey pot to the cybercriminals and hackers. For this reason, the attacks against IoT devices are increasing sharply in recent years. To prevent and detect these attacks, ethical hacking of different IoT devices are of paramount importance. This is because the lesson learnt from these ethical hackings can be exploited to develop effective and robust strategies and mitigation approaches to protect IoT devices from these attacks. There exist a few ethical hacking techniques reported in the literature such as hacking Android phones, Windows XP virtual machine and a DNS rebinding attack on IoT devices. In this paper, we implement an approach for the ethical hacking of a Drone and then hijack it. As an outcome of lesson learnt, the mitigation approaches on how to reduce the hacking on a drone is presented in this paper. © 2022 ieee.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

Exploring Deep Time-Series Imaging for Anomaly Detection of Building Energy Consumption

Exploring Deep Time-Series Imaging for Anomaly Detection of ...

引用

2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Copiaco, Abigail Himeur, Yassine Amira, Abbes Mansoor, Wathiq Fadli, Fodil Atalla, Shadi College of Engineering and It University of Dubai Dubai United Arab Emirates University of Sharjah Department of Computer Science United Arab Emirates Qatar University Department of Architecture & Urban Planning Doha2713 Qatar

ISBN: (纸本)9781665453059

Although deep anomaly detection (DAD) is crucial to optimize energy management in smart buildings, there is a lack of efficient research investigating DAD of energy consumption time-series. Besides, analyzing one-dimensional (1D) energy time-series does not provide many options to detect abnormal energy con-sumption. By contrast, converting 1D signals to two-dimensional (2D) representations open the doors to benefit from the success of time-series imaging in related research fields. In this paper, we explore transfer learning in anomaly detection of energy consumption. The presented method converts time-series inputs to images, which in turn serve as inputs for pre-trained CNN models. Specifically, this helps benefit from the inherent spatial invariance since the best characteristics are efficiently provided for convolutional layers. The experimental evaluation on real and simulated datasets demonstrates the promising performance of the proposed method, primarily when the support vector machine (SVM) is used to classify the features extracted using AlexNet. Accordingly, 92.24% and 99.19% weighted F1-score rates have been reached under both scenarios, respectively. © 2022 ieee.

关键词： Time series

来源：评论

学校读者我要写书评

暂无评论

Explainable AI Based Glaucoma Detection Using Transfer Learning and LIME

Explainable AI Based Glaucoma Detection Using Transfer Learn...

引用

2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Chayan, Touhidul Islam Islam, Anita Rahman, Eftykhar Reza, Md. Tanzim Apon, Tasnim Sakib Alam, Md. Golam Rabiul Brac University Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9781665453059

Glaucoma is the second driving reason for partial or complete blindness among all the visual deficiencies which mainly occurs because of excessive pressure in the eye due to anxiety or depression which damages the optic nerve and creates complications in vision. Traditional glaucoma screening is a time-consuming process that necessitates the medical professionals' constant attention, and even so time to time due to the time constrains and pressure they fail to classify correctly that leads to wrong treatment. Numerous efforts have been made to automate the entire glaucoma classification procedure however, these existing models in general have a black box characteristics that prevents users from understanding the key reasons behind the prediction and thus medical practitioners generally can not rely on these system. In this article after comparing with various pre-trained models, we propose a transfer learning model that is able to classify Glaucoma with 94.71% accuracy. In addition, we have utilized Local Interpretable Model-Agnostic Explanations(LIME) that introduces explainability in our system. This improvement enables medical professionals obtain important and comprehensive information that aid them in making judgments. It also lessen the opacity and fragility of the traditional deep learning models. © 2022 ieee.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

A Decentralized Employee Performance Appraisal Framework for Recruitment, Performance Prediction and Ranking using Permissioned Blockchain and Machine Learning

A Decentralized Employee Performance Appraisal Framework for...

引用

2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Anjum, Afra Antara Majumder, Shaikat Islam, Sadaath Rabiul Alam, Md. Golam Brac University Department of Computer Science & Engineering Dhaka Bangladesh

ISBN: (纸本)9781665453059

Recruitment is a crucial task for Human Resource Management (HRM) and therefore determines the selection of skilled employees-who play key roles in a company's success. Employees perform well only when their skill set matches their job requirements. However, the current recruitment system fails to provide a single solution that verifies employee records and predicts employee-job compatibility. This paper proposes a recruitment system using blockchain, a machine learning model, and a multi-criteria decision analysis method. Here, blockchain technology is used to hold employee records in an encrypted manner, including their performance appraisals, in a decentralized system that allows data verification by supported organisations. QR code is used to verify encrypted employee records which are then decrypted within the system and used to predict their performance for the hiring company, using a classification model. Here, after comparing the performance of different classification models, the best-performing model, SVM Classification, has been used. Finally, the system ranks eligible candidates, based on employee records including their predicted performance appraisal rating, using a TOPSIS algorithm. The SVM classification model and TOPSIS algorithm are deployed in a Streamlit application, which predicts employee performance appraisal ratings and ranks candidates by generating scores using TOPSIS. The scores are then sorted from highest to lowest, therefore ranking candidates from most suitable to least suitable for a job role. © 2022 ieee.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Solutions for Investigating Streams data using Distributed Frameworks: Literature Review

Machine Learning Solutions for Investigating Streams Data us...

引用

8th ieee asia-pacific conference on computer science and data engineering (ieee csde)

作者： Kumar, Kunal Sharma, Neeraj Anand Ali, A. B. M. Shawkat Univ Fiji Dept Comp Sci & Math Lautoka Fiji

ISBN: (纸本)9781665495523

Distributed Frameworks such as Apache Spark have become an integral part of data analysis in the modern world. Machine learning algorithms implemented in distributed frameworks have become popular due to their impressive processing power. Research now is shifting to the analysis of data in a streaming environment that has data coming in real-time. This research focuses on identifying and conducting a literature review that investigates machine learning methods in a distributed framework using streams data. The review identifies some interesting patterns in the focus of machine learning algorithms and the use of various distributed frameworks. A lot of research opportunities are discussed while discussing research papers.

关键词： Machine Learning Apache Spark Streaming data Hadoop Apache Kafka

来源：评论

学校读者我要写书评

暂无评论

Tools for Animation and Shape Manipulation: A Scoping Review

Tools for Animation and Shape Manipulation: A Scoping Review

引用

2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Farzinnejad, Forouzan Habibi, Jafar Khezrian, Navid Afshin Hemmatyar, Ali Mohammad Baghaei, Nilufar Coburg University of Applied Sciences Electrical Engineering and Computer Science Coburg Germany Sharif University of Technology Computer Engineering Tehran Iran University of Queensland Information Technology and Electrical Engineering Brisbane Australia

ISBN: (纸本)9781665453059

Objectives: This paper presents a review of the latest, state-of-the-art research on animation tools, shape de-formation and manipulation published over the last 20 years (from 2001 to 2021). By presenting a systematic classification of available tools and expressing the methods and limitations of each of these tools, our goal was to answer some of the questions faced by researchers who are seeking to work in this field. We posed three questions and answered them by reviewing the literature. Materials and Methods: Four databases (ieee Xplore, ACM Digital Library, Springer, and Google Scholar) were searched for studies that introduce animation, deformation, or manipulation tools. The initial search yielded 296 articles. After evaluating them against the input criteria, 32 studies remain. Results: Out of the 32 studies we reviewed, four of these studies were related to shape manipulation and deformation, and the rest were related to animation tools. The results show that 24 of the tools developed are suitable for 2D manipulation or animation. Also, 28 cases were suitable for novice users. Conclusion: We presented a review of animation, deformation or manipulation tools, including methods and limitations. We also By referring to this work, the new researchers can identify their target community and determine what features previous papers have focused on and what limitations they have, and finally what choices they should be made to get started. © 2022 ieee.

关键词： Animation

来源：评论

学校读者我要写书评

暂无评论

The Practicality of Machine Learning for Airline Forward Sales Forecast

The Practicality of Machine Learning for Airline Forward Sal...

引用

2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Gounder, Muni Prashneel Kumar, Ravnesh Kumar, Kunal University of Fiji School of Science and Technology Department of Computer Science and Mathematics Lautoka Fiji

ISBN: (纸本)9781665453059

Forecasting is used in the aviation industry, among other things, to estimate the number of passengers for each trip. This is advantageous for the practice of revenue management because the forecast serves as the foundation for determining the cost of each flight. In order to maximize profit, it is therefore important to know whether these forecasts are accurate. Today, the price of an airline ticket can vary significantly and quickly during the same journey, even for neighboring seats in the same cabin. Customers search for the greatest offer while airlines seek to maintain a high overall revenue and maximize their profit. Airlines use a range of computational techniques, including as pricing discrimination and demand forecasting, to increase their revenue. Demand forecasts have a crucial role in how well airline pricing and revenue management systems perform. The demand for different fare classes is assumed independent by traditional airline forecasting models, which ignore the demand's sensitivity to the airline's inventory control procedures, price variations, and the range of available alternatives. This study looks at several forecasting algorithm implementations in the context of sales booking prediction for the aviation sector, along with its benefits and drawbacks. The research is accompanied with use cases in which Time Series forecasting algorithms ARIMA and Random Forest are tested against a passenger data for American Airlines against performance indicators: confidence interval, usability, and performance. Academics, business intelligence and revenue analysts, airline operators, the revenue management team, and functional silos across the organization are the main beneficiaries of this article as sales forecast will be utilized to plan and budget flights (capacity) and to make strategic decision. © 2022 ieee.

关键词： Sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

SZR5: A Modern Technique to Detect Potholes Using Convolution Neural Network

SZR5: A Modern Technique to Detect Potholes Using Convolutio...

引用

2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Saif, Muntasir Mahmud Karim, Dewan Ziaul Akbar, Rafeed Bin Khan, Mohammed Arman Badsha, Tanvir Sakib, Sadman Brac University Department of Computer Sciene and Engineering Dhaka Bangladesh

ISBN: (纸本)9781665453059

Roads serve as transportation corridors and are a part of daily life, but irregularities in the surface have an influence on more than just the road itself, including driver safety, car mechanics, and fuel efficiency. In order to evaluate road roughness and find potholes, a number of methods for automated monitoring of the state of the road surface have been developed. The aim of this paper is to provide a deep learning-based CNN model to detect potholes with superior accuracy. The target of the model is to spontaneously detect potholes from normal road surfaces so that it can help reduce accidents and other unwanted situations. Different environments, with varying lighting and weather were also taken into consideration while building the model. Using deep learning methods, the model was trained and evaluated on a dataset of 3000 raw photos, 1500 of which are of smooth roads and 1500 of which are of potholes. To ensure that the model can comprehend any picture input in any circumstance, these photos were enhanced and created into 12000 new images. With our unique CNN model SZR5, we were able to achieve 97.58% accuracy on the training dataset and 97.35% accuracy on the validation dataset. © 2022 ieee.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

Detecting Privacy Policies Violations Using Natural Language Inference (NLI)

Detecting Privacy Policies Violations Using Natural Language...

引用

2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Alshamsan, Abdullah R Chaudhry, Shafique A Clarkson University Department of Computer Science Potsdam United States David D. Reh School of Business Clarkson University Potsdam United States

ISBN: (纸本)9781665453059

data privacy laws like the General data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) provide guidelines for collecting personal information from individuals and processing it. These frameworks also require service providers to inform their customers on how clients' data is gathered, used, protected, and shared with other parties. A privacy policy is a legal document used by service providers to inform users about how their personal information is collected, stored, and shared with other parties. It is expected that the privacy policies adhere to the data privacy regulations. However, it has been observed that some policies may deviate from the practices recommended by data protection regulations. Detecting instances where a policy may violate a certain regulation is quite challenging because the privacy policy text is long and complex, and there are numerous regulations. To address this problem, we have designed an approach to automatically detect whether a policy violates the articles of GDPR. This paper demonstrates how we have used Natural Language Inference (NLI) tasks to compare privacy content against the GDPR to detect privacy policies' text in violation of GDPR. We provide two designs using the Stanford Natural Language Inference (SNLI) and the Multi-Genre Natural Language Inference (MultiNLI) datasets. The results from both designs are promising as our approach detected the deviations with 76% accuracy © 2022 ieee.

关键词： data privacy

来源：评论

学校读者我要写书评

暂无评论

A QUBO Formulation for the K-densest Common Subgraph Isomorphism Problem Via Quantum Annealing

A QUBO Formulation for the K-densest Common Subgraph Isomorp...

引用

2020 ieee asia-pacific conference on computer science and data engineering, csde 2020

作者： Huang, Nan The University of Auckland School of Computer Science New Zealand

ISBN: (纸本)9781665419741

In this paper, we extend the algorithm of [6] to solve the k-densest maximum common subgraph problem. By solving the k-densest maximum common subgraph isomorphism problem, we find high complexity common substructures between input graphs. We prove that our proposed objective function always gives the right answer to the corresponding QUBO problem. © 2020 ieee.

关键词： Set theory

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96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：