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71-80 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：

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

Application of mmWave Radar Sensors for Autonomous Robotics Navigation

Application of mmWave Radar Sensors for Autonomous Robotics ...

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Huang, Xu Patel, Nitish Tsoi, Kit P. The University of Auckland Department of Electrical and Computer Engineering Auckland1023 New Zealand The University of Shandong Ying Cai Faulty of Information Engineering Shandong Jinan250104 China

ISBN: (纸本)9798350341072

This paper explored the application of mmWave radar sensors in robotic navigation. With the growing need for indoor navigation and object avoidance employing mmWave technology, a mobile robot equipped with a mmWave radar system was developed using the ROS libraries and the mmWave ROS driver package. The system exhibited promising performance, showcasing its potential for addressing the rising demand in this field. © 2023 ieee.

关键词： Navigation

来源：评论

学校读者我要写书评

暂无评论

Digital Twins in Smart Farming

Digital Twins in Smart Farming

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Nalina, V. Monisha, S. Giridhar, A. B.M.S College of Engineering Department of Information Science and Engineering Bangalore560019 India

ISBN: (纸本)9798350341072

Employing digital twin technology, a physical object can be represented digitally. It is a virtual copy or replica of that physical object. It stimulates behavior and keeps an eye on operations using real-time data gathered from the sensors. With the aid of this technology, replication of the process can be done, and it is possible to keep an eye on their performance, spot problems, and decide how best to maintain them. © 2023 ieee.

关键词： digital twin performance replication sensors

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

Myers-Briggs Type Indicator and the Big Five Model-How Our Personality Affects Language Use

Myers-Briggs Type Indicator and the Big Five Model-How Our P...

引用

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

作者： Radisavljevic, Dusan Batalo, Bojan Rzepka, Rafal Araki, Kenji Graduate School of Information Science and Technology Hokkaido University Sapporo Japan Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan Hokkaido University Faculty of Information Science and Technology Sapporo Japan

ISBN: (纸本)9781665453059

Recently there has been an increasing interest in personality computing, a research field that mainly concerns itself with problems of personality perception, synthesis and recognition. In order to provide personality measure for these tasks, two models have been most commonly applied: the Myers-Briggs Type Indicator (MBTI) and the Big Five model (BF). Since some early scientific works have been critical of MBTI, the Big Five model has historically been more favoured by the scientific community. However, in recent years there has been an increasing number of researchers examining the possible application of MBTI in personality computing. Although the correlation between the set of measures offered by these two models has been proven to exist, works that directly compare the two, especially from the aspect of language usage, have been scarce. In this paper we examine the linguistic similarities between individuals labelled with MBTI types and Big Five dimensions by conducting an analysis using Linguistic Inquiry and Word Count (LIWC). Our study has further substantiated previous linguistic qualities of the Big Five model, while providing a novel insight into how MBTI types influence language use. Additionally, the results of our research have indicated existence of language use patterns shared by these two models. To the best of our knowledge, this is the first time a comparison of effects the two personality models have on language usage has been made. © 2022 ieee.

关键词： Linguistics

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Joomla, Drupal, Wordpress and ***: Exploring Features, Performance, and Suitability

A Comparative Analysis of Joomla, Drupal, Wordpress and ***:...

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Prasad, Ashwin Ashika Sharma, Neeraj Anand Kumar, Anal School of Science and Technology The University of Fiji Department of Computer Science and Mathematics Fiji College of Engineering Science and Technology Fiji National University Department of Computing Sciences and Information System Fiji

ISBN: (纸本)9798350341072

In the dynamic landscape of web development, the judicious choice of platform and structure plays a pivotal role. This comprehensive study conducts a thorough comparison of four prominent web development technologies: ***, Joomla, Drupal, and WordPress. With a primary focus on scrutinizing features, performance, and overall suitability, the research aims to provide valuable insights for developers, businesses, and decision-makers. By objectively evaluating the merits and limitations of each technology, this study seeks to empower stakeholders with essential knowledge, enabling them to make informed decisions at the onset of web development projects. © 2023 ieee.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Lantana Camara Flower Detection Using an Improved Lightweight Convolutional Neural Networks in YOLOv5

Lantana Camara Flower Detection Using an Improved Lightweigh...

引用

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

作者： Hi, Wie Kiang Wibowo, Santoso Rashid, Md Mamunur School of Engineering and Technology CQUniversity QLD Australia

ISBN: (纸本)9781665453059

Detecting the presence of lantana camara flowers in the natural ecosystem is complicated as it requires rapid and precise flower detection. Existing detection models have a low detection rate, a sizeable false-negative rate, and a lack of algorithmic resilience and generalizability. This paper presents a detection model based on the enhanced You Only Look Once version 5 (YOLOv5) algorithm. First, a selective number of lantana camara flower images are gathered from publicly available dataset from iNaturalist, which contains more than 230,000 image from 5,000 different plant species to generate a dataset. Different loss functions were applied with YOLOv5m as the baseline. Then, images are randomly cropped, scaled, and arranged using the mosaic data augmentation process to generate new images. A mechanism for dynamic anchor boxes is proposed to address the erroneous anchor box prior information in YOLOv5. The dynamic anchor box module is introduced to the model, and the network training process dynamically modified the anchor box's size and position. By incorporating channel and spatial attention into the network's original structure, a novel attention mechanism is suggested to increase network detection performance. The detection performance of the enhanced method presented in this study is more than 4% greater than the mean average precision (mAP) of the baseline model, with the mAP score reaching 91.9% and the detection speed reaching 87 frames per second. © 2022 ieee.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Explainable Computational Pathology for Survival Prediction in Hematologic Pediatric Patients

Explainable Computational Pathology for Survival Prediction ...

引用

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

作者： Marvin, Ggaliwango Rabiul Alam, Md. Golam Makerere University Department of Computer Science Kampala Uganda

ISBN: (纸本)9781665453059

Pediatric bone marrow failure syndromes are therapeutically and diagnostically strenuous, costly and yet extremely risky to pediatric patients despite the necessity for pediatric survival. To make matters worse, the current approach to the treatment of hematology and blood disorders in pediatric patients is extremely patient-centred and uncertainly lethal. In this work, we computationally leverage Machine Learning and Artificial Intelligence techniques to predictively and interpretably identify important factors influencing the success or failure of stem cell transplantation in pediatric patients using SHapley Additive exPlanations (SHAP based on coalitional Game theory. We also demonstrate a more transparent approach to predict the survival of hematologic pediatric patients based on the significance and importance of survival determinant feature interactions before the cell transplantation is performed. For this role, Catboost, LigtGBM and XBoost algorithms obtained 82%, 92% and 94% accuracy respectively. As much as we validate Kawlak's hypothesis that increasing the CD34+ cells/kg dosage prolongs general survival time of patients without synchronous occasion of unpleasant events affecting patients' quality of life (Kawlak et al., 2010), we discovered that pediatric risk group and recipients' age are likely to be more influential determinants of prolonged survival as compared to CD34+ cell reception. This transparent predictive and preventive approach to pediatric medical transplantation theoretically beat the existing delayed interventional approaches of reactive pediatric hematology. It can potentially reduce child mortality and improve the survival of children with personalized medicine hence improving postnatal and child healthcare. © 2022 ieee.

关键词： Pathology

来源：评论

学校读者我要写书评

暂无评论

Transfer Learning in Monte Carlo Tree Search

Transfer Learning in Monte Carlo Tree Search

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Cleaver, Nathan Neshatian, Kourosh University of Canterbury Department of Computer Science and Software Engineering Christchurch New Zealand

ISBN: (纸本)9798350341072

Transfer learning is the ability to transfer knowledge from one context to another. This paper investigates, for the first time, the possibility of transfer learning on Monte Carlo Tree Search (MCTS). We use distributed parallel MCTS to construct game-playing models for one variant of chess and then transfer these models to another domain to play a different variant of chess. We also introduce a novel pruning mechanism for MCTS to cope with memory requirements of large game trees. Our results show that positive transfer learning in MCTS is possible, and in our case, highly successful. Transferred models significantly outperform models that have to be trained from scratch. © 2023 ieee.

关键词： Monte Carlo methods

来源：评论

学校读者我要写书评

暂无评论

Improving Project Control by Utilizing Predictive data Analytic Models

Improving Project Control by Utilizing Predictive Data Analy...

引用

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

作者： Jaafar, Kamal Aloran, Ahmad Watfa, Mohamad Univ Wollongong Dubai Fac Engn & Informat Sci Dubai U Arab Emirates Rd & Transport Author Dubai U Arab Emirates

ISBN: (纸本)9781665495523

Project progress is an apprehension for every project, as it indicates how the project is likely to meet the associated milestones. Utilizing collected data from archived projects can assist managers to envisage project progress. By leveraging the power of data analytics, this research attempts to highlight data trends based on data collected from 279 infrastructure projects in the UAE. Specifically, this research rigorously analyses the relationships between project budget, duration, and progress using K-means clustering techniques and hypothesis testing. We then provide predictive models using Autoregressive Integrated Moving Average - ARIMA and Multivariate regression models that allow managers to predict with a 99.15% accuracy the monthly progress of an infrastructure project over the next 3 months. This research paper provides project managers with a comprehensive framework that combines data analytics techniques with agility practices to predict short term project progress in order to take proactive measures on the different influencing factors.

关键词： Project progress Project Management Hypothesis Testing Predictive models Clustering

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 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：