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

5,298 篇 会议
1,319 篇 期刊文献
83 册 图书

馆藏范围

6,699 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

4,098 篇 工学
- 2,262 篇 计算机科学与技术...
- 1,909 篇 软件工程
- 1,134 篇 控制科学与工程
- 850 篇 信息与通信工程
- 789 篇 电气工程
- 665 篇 电子科学与技术（可...
- 404 篇 机械工程
- 329 篇 动力工程及工程热...
- 281 篇 生物工程
- 249 篇 光学工程
- 248 篇 仪器科学与技术
- 248 篇 生物医学工程（可授...
- 190 篇 化学工程与技术
- 173 篇 交通运输工程
- 150 篇 力学（可授工学、理...
- 132 篇 安全科学与工程
- 130 篇 建筑学
- 127 篇 材料科学与工程（可...
- 123 篇 土木工程
2,204 篇 理学
- 1,260 篇 数学
- 587 篇 物理学
- 423 篇 系统科学
- 368 篇 统计学（可授理学、...
- 306 篇 生物学
- 181 篇 化学
848 篇 管理学
- 604 篇 管理科学与工程(可...
- 344 篇 工商管理
- 292 篇 图书情报与档案管...
193 篇 医学
- 164 篇 临床医学
- 142 篇 基础医学(可授医学...
128 篇 法学
118 篇 经济学
86 篇 教育学
59 篇 农学
15 篇 军事学
14 篇 文学
5 篇 艺术学
1 篇 哲学

主题

111 篇 control systems
108 篇 computational mo...
103 篇 optimization
94 篇 accuracy
87 篇 training
84 篇 mathematical mod...
79 篇 neural networks
76 篇 predictive model...
73 篇 feature extracti...
71 篇 machine learning
67 篇 robustness
64 篇 artificial intel...
62 篇 computer archite...
60 篇 data models
59 篇 software
56 篇 switches
56 篇 real-time system...
56 篇 uncertainty
55 篇 estimation
53 篇 monitoring

机构

56 篇 dept. of systems...
32 篇 dept. of systems...
26 篇 state key lab of...
24 篇 optical sciences...
20 篇 state key lab. o...
19 篇 delft center for...
17 篇 dept. of electri...
16 篇 dept. of control...
16 篇 dept. of compute...
14 篇 dept. of systems...
14 篇 dept. of electri...
14 篇 delft center for...
14 篇 dept. of electri...
12 篇 networking and i...
12 篇 ieee
11 篇 international is...
11 篇 school of automa...
11 篇 dept. of systems...
11 篇 dept. of automat...
11 篇 dept. of compute...

作者

35 篇 wainer gabriel
22 篇 wang bin
21 篇 tan mengxi
20 篇 xu xingyuan
19 篇 moss david j.
18 篇 gabriel wainer
17 篇 tom oomen
17 篇 yangquan chen
17 篇 dong xinzhou
16 篇 lo hoi-kwong
15 篇 oomen tom
14 篇 xinzhou dong
13 篇 bin wang
13 篇 qing-chang zhong
13 篇 xi zhang
12 篇 sakamoto makoto
12 篇 mitchell arnan
11 篇 reiner lisa
11 篇 zhang boming
11 篇 ito takao

语言

6,461 篇 英文
117 篇 其他
99 篇 中文
15 篇 日文
6 篇 朝鲜文
1 篇 德文
1 篇 俄文

检索条件"机构=Computer Engineering and Control Systems Dept."

共 6700 条记录，以下是351-360 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：

Transfer and Bayesian Learning Approaches for Land Use and Land Cover Classification

Transfer and Bayesian Learning Approaches for Land Use and L...

引用

Emerging Smart Computing and Informatics (ESCI), Conference on

作者： Zainab Malik Aisha Sir Elkhatem Gokhan Bilgin Dept. of Computer Engineering Yildiz Technical University Istanbul Turkey Dept. of Control and Automation Engineering Yildiz Technical University Istanbul Turkey

ISBN: (数字)9798331515683

ISBN: (纸本)9798331515690

Land use and land cover (LULC) classification is essential for understanding the impact of both human activities and natural processes on the Earth’s surface. This classification plays a critical role in deforestation, urban planning, and damage assessment. However, traditional machine learning techniques often face challenges in achieving consistent accuracy in diverse datasets. In this study, we implement transfer learning and Bayesian learning approaches to enhance the accuracy and robustness of LULC classification. Transfer learning leverages knowledge from previous classification problems, while Bayesian learning addresses uncertainties in the classification process. Using the Remote Sensing Image Classification Benchmark (RSI-CB128) dataset, the study evaluates the performance of Bayesian Convolutional Neural Networks (CNN), Mobile Neural Networks (MobileNet), Inception Neural Networks (InceptionNet), Densely Connected Convolutional Networks (DenseNet) and Efficient Neural Networks (EfficientNet). The study also investigates the impact of varying the Bayesian layers on model performance, finding that a medium number of layers optimally captures model uncertainty. The results indicate that the transfer learning models, particularly MobileNet, achieved the highest accuracy of 97. 48% compared to 90. 33% for Bayesian CNN. These findings suggest that transfer learning techniques are highly effective for LULC classification, providing a reliable method for practical applications in remote sensing.

关键词： Deforestation Accuracy Uncertainty Computational modeling Transfer learning Neural networks Urban planning Land surface Bayes methods Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Learning Adaptive Safety for Multi-Agent systems

Learning Adaptive Safety for Multi-Agent Systems

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Luigi Berducci Shuo Yang Rahul Mangharam Radu Grosu Institute of Computer Engineering TU Wien Dept. of Electrical and Systems Engineering University of Pennsylvania

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Ensuring safety in dynamic multi-agent systems is challenging due to limited information about the other agents. control Barrier Functions (CBFs) are showing promise for safety assurance but current methods make strong assumptions about other agents and often rely on manual tuning to balance safety, feasibility, and performance. In this work, we delve into the problem of adaptive safe learning for multi-agent systems with CBF. We show how emergent behaviour can be profoundly influenced by the CBF configuration, highlighting the necessity for a responsive and dynamic approach to CBF design. We present ASRL, a novel adaptive safe RL framework, to fully automate the optimization of policy and CBF coefficients, to enhance safety and long-term performance through reinforcement learning. By directly interacting with the other agents, ASRL learns to cope with diverse agent behaviours and maintains the cost violations below a desired limit. We evaluate ASRL in a multi-robot system and competitive multi-agent racing, against learning-based and control-theoretic approaches. We empirically demonstrate the efficacy of ASRL, and assess generalization and scalability to out-of-distribution scenarios.

关键词： Adaptation models Costs Uncertainty Scalability Reinforcement learning Safety Observability

来源：评论

学校读者我要写书评

暂无评论

FORTUNATE: Decrypting and Classifying Malware by Variable Length Instruction Sequences 13

FORTUNATE: Decrypting and Classifying Malware by Variable Le...

引用

13th IEEE International Conference on Cloud Networking, CloudNet 2024

作者： Andrade, Cesar A. B. Rocha Filho, Geraldo P. Meneguette, Rodolfo I. Maranhao, Joao Paulo A. Sant'ana, Ricardo Duarte, Julio Cesar Serrano, Andre Luiz M. Goncalves, Vinicius P. University of Brasília Electrical Engineering Dept. Brasília Brazil State University of Southwest Bahia Exact and Technological Sciences Dept. Vitória da Conquista Brazil Institute of Mathematics and Computer Science Universityof São Paulo São Carlos Brazil Brazilian Army Systems Development Center Brasília Brazil Military Institute of Engineering Defense Engineering Dept. Rio de Janeiro Brazil Military Institute of Engineering Computing Engineering Dept. Rio de Janeiro Brazil University of Brasília Production Engineering Dept. Brasília Brazil

ISBN: (纸本)9798350376562

After identifying an artifact as malware, the additional challenge arises of correctly classifying it into a specific family. This raises the challenge of classifying malware amid growing complexity and the increasing volume of cyber threats. Therefore, we introduce FORTUNATE, a framework that employs variable-length instruction sequences to classify malware more efficiently and accurately, focusing on real and active malware. By introducing effective methods for extracting opcodes and their representation in the smallest possible vectors, FORTUNATE surpasses the limitations of previous approaches, enabling the correct identification of malware in their respective families, while avoiding redundancies in the data. The results achieved with FORTUNATE demonstrate advances in both precision and computational efficiency, consolidating it as a significant contribution to the field of cybersecurity. © 2024 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Multi-Stage Evolution Algorithm for High-Dimensional Expensive Problems

An Adaptive Multi-Stage Evolution Algorithm for High-Dimensi...

引用

2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024

作者： Zhang, Boyuan Lai, Rui Gong, Guanghong Yuan, Haitao Yang, Jinhong Zhang, Jia School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Cssc Systems Engineering Research Institute Beijing China Southern Methodist University Dept. of Computer Science DallasTX75275 United States

ISBN: (纸本)9781665410205

Recently, many studies have used evolutionary algorithms (EAs) to optimize complex problems across various fields, including mechanical structure design, robotics, and cloud computing. EAs simulate the process of evolution to improve solutions to a given problem iteratively. However, EAs encounter significant challenges when dealing with high-dimensional expensive problems (HEPs). The large solution space and high computing cost of fitness evaluations (FEs) make optimization with limited FEs particularly difficult. To tackle this problem, an Adaptive Multi-stage Evolution Algorithm named AMEA is proposed. In AMEA, an adaptively enhanced teaching-learning-based optimization algorithm is adopted to explore the search space and find potential areas quickly. Then, in the next stage, the Gaussian process surrogate model and a genetic learning particle swarm optimization algorithm are adopted for further exploitation. Besides, this work proposes an adaptive stage switching criterion and an individual screening mechanism to enhance the optimization ability. AMEA demonstrates strong optimization performance when applied to HEPs. We compare AMEA with several state-of-the-art HEP optimization algorithms through seven benchmark functions, and the results show that it performs competitively with other algorithms. Finally, we also validate AMEA's effectiveness with a real-world computation offloading problem. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification

Bidirectional Multi-Step Domain Generalization for Visible-I...

引用

IEEE Workshop on Applications of computer Vision (WACV)

作者： Mahdi Alehdaghi Pourya Shamsolmoali Rafael M. O. Cruz Eric Granger Dept. of Systems Engineering ETS LIVIA ILLS Montreal Canada Dept. of Computer Science University of York UK

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

A key challenge in visible-infrared person re-identification (V-I ReID) is training a backbone model capable of effectively addressing the significant discrepancies across modalities. State-of-the-art methods that generate a single intermediate bridging domain are often less effective, as this generated domain may not adequately capture sufficient common discriminant information. This paper introduces Bidirectional Multi-step Domain Generalization (BMDG), a novel approach for unifying feature representations across diverse modalities. BMDG creates multiple virtual intermediate domains by learning and aligning body part features extracted from both I and V modalities. In particular, our method aims to minimize the cross-modal gap in two steps. First, BMDG aligns modalities in the feature space by learning shared and modality-invariant body part prototypes from V and I images. Then, it generalizes the feature representation by applying bidirectional multi-step learning, which progressively refines feature representations in each step and incorporates more prototypes from both modalities. Based on these prototypes, multiple bridging steps enhance the feature representation. Experiments 1 1 Our code is available at: ***/BMDG conducted on V-I ReID datasets indicate that our BMDG approach can outperform state-of-the-art part-based and intermediate generation methods, and can be integrated into other part-based methods to enhance their V-I ReID performance.

关键词： Training computer vision Accuracy Codes Prototypes Feature extraction Identification of persons

来源：评论

学校读者我要写书评

暂无评论

Direct Data-Driven State-Feedback control of General Nonlinear systems

Direct Data-Driven State-Feedback Control of General Nonline...

引用

IEEE Conference on Decision and control

作者： Chris Verhoek Patrick J. W. Koelewijn Sofie Haesaert Roland Tóth Dept. of Electrical Engineering Control Systems group Eindhoven University of Technology The Netherlands Institute for Computer Science and Control Budapest Hungary

Through the use of the Fundamental Lemma for linear systems, a direct data-driven state-feedback control synthesis method is presented for a rather general class of nonlinear (NL) systems. The core idea is to develop a data-driven representation of the so-called velocity-form, i.e., the time-difference dynamics, of the NL system, which is shown to admit a direct linear parameter-varying (LPV) representation. By applying the LPV extension of the Fundamental Lemma in this velocity domain, a state-feedback controller is directly synthesized to provide asymptotic stability and dissipativity of the velocity-form. By using realization theory, the synthesized controller is realized as a NL state-feedback law for the original unknown NL system with guarantees of universal shifted stability and dissipativity, i.e., stability and dissipativity w.r.t. any (forced) equilibrium point, of the closed-loop behavior. This is achieved by the use of a single sequence of data from the system and a predefined basis function set to span the scheduling map. The applicability of the results is demonstrated on a simulation example of an unbalanced disc.

关键词：

来源：评论

学校读者我要写书评

暂无评论

On The Understanding of Customer Purchase Behavior: A Case Study on the computer systems E-Commerce Website 22

On The Understanding of Customer Purchase Behavior: A Case S...

引用

22nd International Conference on Computational Science and Its Applications, ICCSA 2022

作者： Adak, Tahir Enes Sahin, Yunus Zaval, Mounes Aktas, Mehmet S. Casper Computer Systems Research and Development Center Istanbul Turkey Yildiz Technical University Computer Engineering Dept. Istanbul Turkey

ISBN: (纸本)9781665455848

The tremendous growth of the E-commerce industry over the last decade drew attention to the importance of understanding customers' behaviors and modeling user-system interactions to maximize customers' satisfaction by providing them the best user experience and gaining new customers to the e-commerce website. Within the scope of this study, software architecture _that can help us understand customers' purchase behaviors and then make a binary prediction based on their interactions with the system to determine whether a computer configuration will be bought_ is proposed and explained thor-oughly. For this purpose, machine learning algorithms are utilized to correctly model complex user-system interactions. A prototype of the proposed software architecture is developed using the latest technologies, and experimental studies are performed on top of this prototype in order to understand how successful our software architecture is. The conducted experimental results prove the efficiency of the proposed software architecture in real-world data, with 83% and 88% scores for the accuracy and F1-score metrics, respectively. © 2022 IEEE.

关键词： Software architecture

来源：评论

学校读者我要写书评

暂无评论

A New Robust Hybrid Active Noise control System 8

A New Robust Hybrid Active Noise Control System

引用

8th International Conference on Signal and Image Processing, ICSIP 2023

作者： Wang, Z. Xiao, Y. Ma, Y. Ma, L. Khorasani, K. Prefectural University of Hiroshima Dept. of Management & Information Systems Hiroshima734-8558 Japan Institute of Automation Jiangnan University Wuxi214122 China Concordia University Dept. of Electrical & Computer Engineering Montreal Canada

ISBN: (纸本)9798350397932

The conventional hybrid active noise control (ANC, HANC) may significantly degrade if the reference signal for the feedforward ANC (FFANC) subcontroller consists of not only a broadband component but also a low-frequency sinusoidal component that is uncorrelated or partially correlated with the narrowband noise component that is attenuated by the feedback ANC (FBANC) subcontroller. In this paper, a new robust HANC system is proposed to mitigate the performance degradation resulting from the low-frequency sinusoidal component. A band-pass filter bank (BPFB) is applied to the FFANC reference signal to separate the low-frequency sinusoidal component from the broadband one and each of them is fed to an FFANC subcontroller that solely focuses on a single noise component. A supporting filter takes the extracted broadband component and the residual error as its input and desired signal, respectively. The same BPFB is then applied to the supporting filter error in order to separate the remaining low-frequency sinusoidal component from the narrowband component that persists in the residual error. The use of the two BPFBs and the supporting filter allows the three HANC subcontrollers to operate practically independently, each taking care of one of the pre-processed noise components which are uncorrelated with each other irrespective of the relationship between the two original noise sources. Extensive simulations are provided to demonstrate the improved effectiveness and robust capability of the proposed HANC as compared to its counterpart, even in a case that the low-frequency sinusoidal component in the FFANC reference signal is partially corrected with the primary narrowband noise component that is targeted by the FBANC. © 2023 IEEE.

关键词： Filter banks

来源：评论

学校读者我要写书评

暂无评论

Radiomics-based classification in imbalanced datasets: complexity or interpretability

Radiomics-based classification in imbalanced datasets: compl...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Simone Boesso Lorenzo Farina Manuela Petti Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Radiomics represents a specialized branch of medical imaging where quantitative features are extracted from images. Performing a classification using radiomics means solving two common problems: the imbalanced setting, and the large number of features that would increase the risk of overfitting. Moreover, since its main application and impact are in clinical field, there is the need of interpretable models for explaining their results. The aim of this study is to compare two modelling approaches: one based on a logistic regression model, known for its simplicity and interpretability, and RUSBoost, an ensemble method designed to handle class imbalance with potentially higher complexity, in order to answer the question whether higher complexity and lower interpretability are justified when dealing with radiomics data. Additionally, due to the large literature suggesting it, we analyze the impact of a feature selection step applied to these two classifiers. Test performances measured across 20 repeated splits on two datasets show how the RUSBoost approach is able to capture more detailed patterns of the data but this is highly dependent on the dataset at hand.

关键词： Logistic regression Analytical models Feature extraction Oncology Data models Complexity theory Mutual information Radiomics Overfitting Tumors

来源：评论

学校读者我要写书评

暂无评论

A Design Approach for Minimizing Data Theft

A Design Approach for Minimizing Data Theft

引用

2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022

作者： Yee, George O. M. Aptusinnova Inc. Computer Research Lab Ottawa Canada Carleton University Dept. of Systems and Computer Engineering Ottawa Canada

ISBN: (纸本)9798350320282

Not a day goes by without some organization in the world being victimized by the theft of private data, resulting in heavy losses to both the organization and the owners of the data. For an organization, these losses include large expenditures to resume normal operation and damages to its reputation. For data owners, the losses may be financial, and may include identity theft. Security controls (e.g., encryption) help to secure vulnerabilities, but they are not foolproof. This paper proposes a design approach that minimizes the theft of private data from an organization by limiting as much as possible the quantity of such data that is stored on-premise or in the cloud, preferring instead to let the data remain on the user's computing device. This paper additionally presents an example of applying the approach to e-commerce. © 2022 IEEE.

关键词： Cryptography

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 << < 32 33 34 35 36 37 38 39 40 41 > >>

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：