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

6,067 篇 会议
902 篇 期刊文献
72 册 图书

馆藏范围

7,041 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4,435 篇 工学
- 3,466 篇 计算机科学与技术...
- 2,902 篇 软件工程
- 1,320 篇 信息与通信工程
- 669 篇 控制科学与工程
- 478 篇 生物工程
- 436 篇 电气工程
- 432 篇 电子科学与技术（可...
- 329 篇 生物医学工程（可授...
- 305 篇 光学工程
- 271 篇 机械工程
- 232 篇 仪器科学与技术
- 210 篇 动力工程及工程热...
- 170 篇 化学工程与技术
- 160 篇 安全科学与工程
- 159 篇 交通运输工程
- 131 篇 建筑学
2,114 篇 理学
- 1,190 篇 数学
- 536 篇 物理学
- 494 篇 生物学
- 375 篇 统计学（可授理学、...
- 240 篇 系统科学
- 163 篇 化学
1,163 篇 管理学
- 696 篇 管理科学与工程(可...
- 515 篇 图书情报与档案管...
- 356 篇 工商管理
294 篇 医学
- 256 篇 临床医学
- 234 篇 基础医学(可授医学...
- 141 篇 公共卫生与预防医...
- 141 篇 药学(可授医学、理...
200 篇 法学
- 149 篇 社会学
145 篇 农学
117 篇 教育学
109 篇 经济学
25 篇 文学
16 篇 军事学
9 篇 艺术学
1 篇 哲学

主题

199 篇 accuracy
192 篇 feature extracti...
154 篇 computational mo...
146 篇 training
115 篇 computer science
115 篇 deep learning
114 篇 real-time system...
105 篇 data mining
102 篇 support vector m...
95 篇 servers
94 篇 predictive model...
93 篇 machine learning
86 篇 artificial intel...
85 篇 data models
84 篇 cloud computing
83 篇 internet of thin...
81 篇 protocols
79 篇 computer archite...
79 篇 semantics
78 篇 quality of servi...

机构

115 篇 dept. of compute...
85 篇 dept. of informa...
76 篇 institute of inf...
60 篇 dept. of informa...
56 篇 dept. of compute...
52 篇 dept. of compute...
44 篇 dept. of compute...
41 篇 dept. of compute...
37 篇 dept. of compute...
33 篇 dept. of compute...
28 篇 dept. of compute...
26 篇 dept. of compute...
22 篇 school of automa...
22 篇 dept. of compute...
21 篇 graduate institu...
20 篇 dept. of compute...
20 篇 dept. of compute...
19 篇 dept. of informa...
17 篇 dept. of compute...
17 篇 dept. of informa...

作者

46 篇 lorenzo bruzzone
25 篇 li kuan-ching
22 篇 jian-jhih kuo
20 篇 libertario demi
20 篇 yen-lin chen
19 篇 ren-hung hwang
18 篇 mei-hui wang
18 篇 chen yen-lin
18 篇 luca turchet
16 篇 francesca bovolo
16 篇 chang-shing lee
16 篇 hwang ren-hung
15 篇 kwon soonhak
15 篇 jia-ching wang
15 篇 hung yi-ping
14 篇 lee yue-shi
14 篇 bae hae-young
13 篇 horng shi-jinn
13 篇 watabe hirokazu
13 篇 wu eric hsiao-ku...

语言

6,411 篇 英文
548 篇 其他
57 篇 中文
19 篇 日文
6 篇 朝鲜文
1 篇 斯洛文尼亚文

检索条件"机构=Dept. of Computer Science& Information Engineering"

共 7041 条记录，以下是881-890 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：

A 0.4 V 180 nm CMOS Sub-μW Ultra-Compact and Low-Effort Design PWM-Based ADC

A 0.4 V 180 nm CMOS Sub-μW Ultra-Compact and Low-Effort Des...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Guido Di Patrizio Stanchieri Orazio Aiello Andrea De Marcellis Dept. of Information Engineering Computer Science and Mathematics University of L’Aquila Italy Dept. of Electrical Electronics and Telecommunication Engineering and Naval Architecture University of Genoa Italy

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

In this paper, a low-design effort, compact analog-to-digital converter (ADC) based on pulse-width modulation with a high level of digital (highly synthesizable) building block is described. Thus, the topology can take advantage of exploiting digital design tools offering supply-voltage scalability although relying on minimum re-design of the core block. The operating principle is based on the charge and discharge of a timing capacitor that allows an input-voltage-to-duty-cycle conversion. The duty cycle, in turn, enables the count of a counter exited by a ring oscillator. Post-layout time-domain simulations of the ADC performed at 180nm show a power consumption of 494 nW with a sample rate of 5 kS/s, 5.6 ENOB at 0.4 V supply voltage, and a compact area of 7200 μm 2 . The very low power consumption makes the proposed circuits very well suited for energy-harvested systems-on-chip for Internet of Things applications.

关键词： Ring oscillators Power demand Scalability Capacitors Modulation Voltage Topology

来源：评论

学校读者我要写书评

暂无评论

An Implementation of Feature Selection for Detecting LOIC-based DDoS Attack

An Implementation of Feature Selection for Detecting LOIC-ba...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Yi-Xian Cai Shih-Chieh Chen Chih-Chiang Wang Dept. of Computer Science and Information Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan

Machine learning method is efficient and effective in detecting DDoS attacks, but it all begins from identifying and selecting their important features. This paper presents an implementation of feature selection for DDoS detection based on Random Forest method. In our implementation, we use a LOIC software flood DDoS requests to a target computer, then control the target to extract the features from the captured IP packets, and finally calculate their Gini feature importance and ranking for subsequent feature selection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Self-supervised Federated Learning for Anomaly Detection

Self-supervised Federated Learning for Anomaly Detection

引用

IEEE International Conference on Big Data

作者： Tze-Qian Eng Hsing-Kuo Pao Chi-Chen Liao Dept. of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan

Federated learning-based strategy can confirm data privacy, as well as other related ones like split learning and differential privacy. When enjoying secured data sharing, we also worry that the data privacy preserving may harm the model’s overall performance. Given the most recent progress in machine learning and AI methodology, we incorporate self-supervised learning to plug in the federated learning framework and the integrated system can guarantee the model performance and data privacy preservation simultaneously. In the integrated framework, we have different clients to keep their own data, and the data are well separated into the attribute half and the label half, for enhanced privacy, not to mention the additional privacy-preserving skill like differential privacy. Given all the aforementioned components, we can still have the privacy-preserving components equipped model performed superior to or is compatible with the performance without the privacy-preserving components. That is, one client can perform better when adding more information from other clients, without the data sharing in between, and no clients own both the attributes and the corresponding labels. The focused topic is anomaly detection and we pay attention to the imbalanced nature of the data which shows additional challenges to the problem. Given the problem, self-supervised learning is especially useful when obtaining the label information is considered non-trivial. After all, we demonstrate the overall model effectiveness when compared to methods without any federated learning components.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimizing Endotracheal Suctioning Classification: Leveraging Prompt engineering in Machine Learning for Feature Selection

Optimizing Endotracheal Suctioning Classification: Leveragin...

引用

Activity and Behavior Computing (ABC), International Conference on

作者： Mahera Roksana Islam Anik Mahmud Ferdous Shahera Hossain Md Atiqur Rahman Ahad Fady Alnajjar Dept. of Electrical and Electronic Engineering University of Dhaka Dhaka Bangladesh Dept. of Computer Science and Digital Technologies University of East London London UK Dept. of Computer Science and Software Engineering College of Information Technology UAE University Al Ain UAE

ISBN: (数字)9798350375503

ISBN: (纸本)9798350375510

In a world with an overgrowing elderly population, there exists a critical need for a greater number of skilled individuals in the nursing industry. AI-based systems can be useful, compared to traditional ones with require in-person assistance, to accurately identify nursing activities and assess the nursing trainees to help them become proficient. This paper addresses classifying activities in one such procedure, endotracheal suctioning, using skeletal keypoint data of the subject performing the procedure. A multi-step structured prompt engineering method was established and utilized on several LLMs to select or calculate key features from the data. Then the features are passed onto several tuned machine learning models to obtain results. A tuned XGBoost prevailed across all models, achieving 90% accuracy on the validation set.

关键词： Training Accuracy Computational modeling Machine learning Medical services Predictive models Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Machine Learning Models in Student Academic Performance Prediction

Evaluation of Machine Learning Models in Student Academic Pe...

引用

Advanced Research in Computing (ICARC), International Conference on

作者： A. G. R. Sandeepa Sanka Mohottala Dept. of Computer Engineering General Sir John Kotelawala Defence University Ratmalana Sri Lanka Dept. of Computer Science Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798331530983

ISBN: (纸本)9798331530990

This research investigates the use of machine learning methods to forecast students’ academic performance in a school setting. Students’ data with behavioral, academic, and demographic details were used in implementations with standard classical machine learning models including multi-layer perceptron classifier (MLPC). MLPC obtained 86.46% maximum accuracy for test set across all implementations while for train set, it was 99.45%. Under 10-fold cross validation, MLPC obtained 79.58% average accuracy for test set while for train set, it was 99.65%. MLP’s better performance over other machine learning models strongly suggest the potential use of neural networks as data-efficient models. Feature selection approach played a crucial role in improving the performance and multiple evaluation approaches were used in order to compare with existing literature. Explainable machine learning methods were utilized to demystify the black box models and to validate the feature selection approach.

关键词： Support vector machines Accuracy Protocols Neural networks XML Machine learning computer architecture Predictive models Feature extraction Standards

来源：评论

学校读者我要写书评

暂无评论

Long-Term Power Consumption Prediction with Two-Stage Clustering Framework

Long-Term Power Consumption Prediction with Two-Stage Cluste...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Hsin-Chiao Wang Yi-Ling Chen Dept. of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan

Power prediction tasks are of significant importance in time-series prediction research due to their close association with energy issues. However, when applying traditional clustering algorithms to predict power consumption using time-series data, three main problems often arise. Firstly, clustering results may be of poor quality due to insufficient users in the cluster. Secondly, users in the same cluster may have similar total power consumption values for the year, but their data may differ in some fine-grained time periods. Finally, users in different clusters may still have similar data in certain time periods. To address these issues, we propose a new Two-Stage Clustering Framework (TSCF). Our framework can divide user data into proper data segments, making it applicable even if there is only one single user, thereby addressing the issue of weak clustering performance caused by insufficient users. Additionally, TSCF segments data into finer pieces to address the issue of fine-grained dissimilarity between users in the same cluster, and groups similar data segments into the same cluster to address the issue of similar data in different clusters. Finally, TSCF leverages the model selection process to find the model that best fits current user data. Extensive experiments are conducted on real-world power consumption data of commercial users in Taiwan and the United States to compare our proposed framework with various baseline approaches. The results show that our proposed framework outperforms baseline methods by approximately 49.67% and 144.22% on the MAE and MAPE indicators, respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Sleep Assessment Trial in a High Air-Quality Nap-Box based on Clean Unit System Platform (CUSP) 12

Sleep Assessment Trial in a High Air-Quality Nap-Box based o...

引用

12th IEEE Global Conference on Consumer Electronics, GCCE 2023

作者： Zhou, Z. Wu, H. Hsieh, T. Liang, S. Yamaguchi, H. Ishibashi, A. National Cheng Kung University Dept. of Computer Science and Information Engineering Tainan Taiwan Koyoju Plywood Corporation Asahikawa Japan Hokkaido University Research Institute for Electronic Science Sapporo Japan Hokkaido University Graduate School of Science Dept. of Condensed Mater Physics Sapporo Japan C'Stec Corporation Sapporo Japan

ISBN: (纸本)9798350340181

A new closed-air-system enabled by clean unit system platform (CUSP) and Gas-Exchange-Membrane (GEM) is demonstrated to be versatile for sleep assessment, or in general, improving Quality-of-Life (QOL). In a new high air-quality CUSP-GEM system called Nap-Box, sleep assessment has been performed successfully for subjects taking a nap virtually in standing position, for the first time in the world, thanks to the 4-point-supporting configuration introduced in the Nap-Box. The sleep assessment results suggest that taking short sleep in Nap-Box is of potential interest for decreasing sleepiness and helping alertness restoration. © 2023 IEEE.

关键词： Air quality

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Machine Learning Models in Student Academic Performance Prediction 5

Evaluation of Machine Learning Models in Student Academic Pe...

引用

5th International Conference on Advanced Research in Computing, ICARC 2025

作者： Sandeepa, A.G.R. Mohottala, Sanka General Sir John Kotelawala Defence University Dept. of Computer Engineering Ratmalana Sri Lanka Sri Lanka Institute of Information Technology Dept. of Computer Science Malabe Sri Lanka

ISBN: (纸本)9798331530983

This research investigates the use of machine learning methods to forecast students' academic performance in a school setting. Students' data with behavioral, academic, and demographic details were used in implementations with standard classical machine learning models including multi-layer perceptron classifier (MLPC). MLPC obtained 86.46% maximum accuracy for test set across all implementations while for train set, it was 99.45%. Under 10-fold cross validation, MLPC obtained 79.58% average accuracy for test set while for train set, it was 99.65%. MLP's better performance over other machine learning models strongly suggest the potential use of neural networks as data-efficient models. Feature selection approach played a crucial role in improving the performance and multiple evaluation approaches were used in order to compare with existing literature. Explainable machine learning methods were utilized to demystify the black box models and to validate the feature selection approach. © 2025 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Steganalysis on Dual-Layer Security of Messages Using Steganography and Cryptography

Steganalysis on Dual-Layer Security of Messages Using Stegan...

引用

International Conference on information Technology and Electrical engineering (ICITEE)

作者： Zeba Shamsi Anish Kumar Saha Ripon Patgiri Khoirom Motilal Singh Laiphrakpam Dolendro Singh Dept. of Computer Science and Engineering National Institute of Technology Silchar Assam India Dept. of Computer Science and Engineering Indian Institute of Information Technology Senapati Manipur India

Recently, Bansal et al. proposed a dual-layer message security technique using steganography and cryptography. An index table maps each text data to an index point and an elliptic curve point. The text data are encrypted using elliptic curve cryptography, and the corresponding index values are embedded in a cover image using the Least Significant Bit Inversion technique. The proposed paper breaks the security of the key exchange technique in the Bansal et al. method and the secret text is extracted.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Occluded Retail Products Detection Through Attention-Reweighted

Occluded Retail Products Detection Through Attention-Reweigh...

引用

2022 IET International Conference on engineering Technologies and Applications, IET-ICETA 2022

作者： Chan, Hung-Tse Chen, Vincent Hsia, Chih-Hsien National Taiwan University of Science and Technology Dept. of Electronic and Computer Engineering Taipei Taiwan Interlake High School WA United States National Ilan University Dept.of Computer Science and Information Engineering Yilan Taiwan Chaoyang University of Technology Dept. of Business Administration Taichung Taiwan

ISBN: (数字)9781665491389

ISBN: (纸本)9781665491389

In recent years, developments in artificial intelligence (AI) and computer vision (CV) have led to an increase in research regarding retail product detection. However, effective CV use for identifying objects continues to face major obstacles, such as customers% random placement of products at checkout partially obscuring items from view. This paper explores the use of faster region-based convolutional neural networks (Faster RCNN) and attentional reweighting to detect obscured retail products. This attention-based method allows CV to identify and process various occlusion patterns. While the training set used to teach the network excluded heavily occluded data, the test set included a range of obscuration levels to accurately reflect the random positioning of products in real life. Experimental results suggest that the proposed method returns better detection accuracy with occlusion problems than current approaches employing convolutional neural networks (CNNs). © 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

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500页 << < 85 86 87 88 89 90 91 92 93 94 > >>

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：