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

11,209 篇 会议
441 篇 期刊文献
110 册 图书
1 篇 科技报告

馆藏范围

11,761 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

8,296 篇 工学
- 5,826 篇 计算机科学与技术...
- 2,667 篇 软件工程
- 1,762 篇 电气工程
- 1,408 篇 信息与通信工程
- 719 篇 控制科学与工程
- 563 篇 机械工程
- 393 篇 仪器科学与技术
- 362 篇 交通运输工程
- 308 篇 动力工程及工程热...
- 287 篇 生物医学工程（可授...
- 282 篇 材料科学与工程（可...
- 266 篇 土木工程
- 252 篇 电子科学与技术（可...
- 234 篇 生物工程
- 218 篇 化学工程与技术
- 211 篇 安全科学与工程
- 179 篇 测绘科学与技术
- 178 篇 建筑学
- 170 篇 环境科学与工程（可...
2,342 篇 理学
- 923 篇 数学
- 775 篇 物理学
- 352 篇 统计学（可授理学、...
- 306 篇 生物学
- 288 篇 化学
- 214 篇 系统科学
1,611 篇 管理学
- 958 篇 管理科学与工程(可...
- 768 篇 图书情报与档案管...
- 373 篇 工商管理
473 篇 医学
- 371 篇 临床医学
- 247 篇 基础医学(可授医学...
177 篇 法学
154 篇 经济学
136 篇 教育学
62 篇 农学
25 篇 文学
16 篇 艺术学
9 篇 军事学
6 篇 历史学

主题

799 篇 data mining
480 篇 data models
260 篇 data acquisition
257 篇 big data
214 篇 deep learning
198 篇 machine learning
168 篇 training data
168 篇 computational mo...
161 篇 feature extracti...
153 篇 computer science
149 篇 data privacy
137 篇 predictive model...
130 篇 neural networks
112 篇 training
108 篇 monitoring
106 篇 covid-19
105 篇 visualization
92 篇 support vector m...
90 篇 computer archite...
90 篇 smart cities

机构

17 篇 sun yat sen univ...
15 篇 rhein westfal th...
14 篇 carnegie mellon ...
13 篇 school of comput...
13 篇 univ chinese aca...
12 篇 delft univ techn...
11 篇 hitachi data sys...
11 篇 school of comput...
11 篇 school of geogra...
10 篇 school of comput...
10 篇 chinese acad sci...
10 篇 csiro data61 nsw
9 篇 fudan univ sch c...
9 篇 school of comput...
9 篇 chinese acad sci...
9 篇 csiro data61 can...
9 篇 northeastern uni...
9 篇 mit cambridge ma...
9 篇 school of manage...
9 篇 fudan univ shang...

作者

11 篇 gilat amos
11 篇 wang wei
10 篇 khoshgoftaar tag...
9 篇 venkatesh svetha
9 篇 anon
9 篇 duan yucong
8 篇 wang lei
8 篇 li yang
8 篇 seidt jeremy d.
8 篇 janssen marijn
8 篇 zhang zhao
8 篇 bernardini flavi...
8 篇 liu jing
8 篇 li yan
8 篇 wang hao
7 篇 yin jian
7 篇 zhou xiaokang
7 篇 yang yang
7 篇 van der aalst wi...
6 篇 bin wang

语言

11,424 篇 英文
208 篇 其他
83 篇 中文
28 篇 俄文
16 篇 法文
9 篇 土耳其文
4 篇 德文
4 篇 西班牙文
1 篇 塞尔维亚文
1 篇 乌克兰文

检索条件"任意字段=19th Data Compression Conference"

共 11761 条记录，以下是91-100 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：

Systematic Analysis of Label-flipping Attacks against Federated Learning in Collaborative Intrusion Detection Systems 24

Systematic Analysis of Label-flipping Attacks against Federa...

引用

19th International conference on Availability, Reliability, and Security (ARES)

作者： Lavaur, Leo Busnel, Yann Autrel, Fabien IMT Atlantique IRISA SOTERN Chair CyberCNI Rennes France IMT Nord Europe IRISA SOTERN Lille France IMT Atlantique IRISA SOTERN Rennes France

ISBN: (纸本)9798400717185

With the emergence of federated learning (FL) and its promise of privacy-preserving knowledge sharing, the field of intrusion detection systems (IDSs) has seen a renewed interest in the development of collaborative models. However, the distributed nature of FL makes it vulnerable to malicious contributions from its participants, including data poisoning attacks. the specific case of label-flipping attacks, where the labels of a subset of the training data are flipped, has been overlooked in the context of IDSs that leverage FL primitives. this study aims to close this gap by providing a systematic and comprehensive analysis of the impact of label-flipping attacks on FL for IDSs. We show that such attacks can still have a significant impact on the performance of FL models, especially targeted ones, depending on parameters and dataset characteristics. Additionally, the provided tools and methodology can be used to extend our findings to other models and datasets, and benchmark the efficiency of existing countermeasures.

关键词： federated learning intrusion detection data-poisoning label-flipping backdoors systematic analysis quantitative assessment

来源：评论

学校读者我要写书评

暂无评论

Enhancing Airbnb Price Predictions with Location-Based data: A Case Study of Istanbul 19

Enhancing Airbnb Price Predictions with Location-Based Data:...

引用

19th conference on Computer Science and Intelligence Systems

作者： Akahn, Ozgtin Alptekin, Gulfem Isiklar Galatasaray Univ Comp Engn Istanbul Turkiye

ISBN: (纸本)9798350359718;9788396960160

Airbnb, a prominent online marketplace, facilitates short- and long-term rentals by connecting customers with property owners offering entire apartments or private rooms. Accurate price prediction is crucial for both the platform and rental property owners. Previous studies have primarily focused on statistical methods and pre-processing techniques, with limited exploration of the impact of location attributes. this paper aims to enhance price prediction models for Airbnb listings by incorporating location data. Utilizing data from InsideAirbnb for Istanbul, we implemented various data pre-processing techniques and enriched the dataset with location-specific information. Our findings show that incorporating these location-based features significantly improved model performance, increasing the adjusted R2 metric by 22.5% and reducing Mean Absolute Error (MAE) by %10. this enhancement was achieved by using location-related index values and public transportation data provided by the Istanbul Metropolitan Municipality. these advancements can help property owners optimize rental prices and assist urban planners in making informed decisions about city infrastructure development.

关键词： Price prediction regression XGBoost location features Airbnb

来源：评论

学校读者我要写书评

暂无评论

A Blockchain-based Transaction Verification Infrastructure in Public Transportation 19

A Blockchain-based Transaction Verification Infrastructure i...

引用

19th conference on Computer Science and Intelligence Systems

作者： Saritas, Hidayet Burak Kardas, Geylani Ege Univ Int Comp Inst Bornova Turkiye Ege Univ Ege Teknopark Erzene Mah Ankara Cad TR-35100 Izmir Turkiye Ege Univ Int Comp Inst TR-35100 Izmir Turkiye

ISBN: (纸本)9798350359718;9788396960160

this paper proposes a new blockchain-based transaction verification infrastructure for co-payment and data verification for multi-modal public transportation systems. Our solution offers a decentralized platform that ensures secure co payments and data integrity while addressing interoperability, data security and transactional transparency. With a private blockchain, transportation providers act as nodes and validated, consensus-approved transactions increase trust and transparency. A standardized data format and robust algorithms for data contribution by transport operators are developed as well as a model for operators, assets, and transactions. Including zero-knowledge proofs improves user privacy by allowing secure authentication without revealing sensitive data. We believe that this research may lead a closer collaboration between public transport operators and provide an enhanced user experience while enabling transport transaction security and data verification.

关键词： Blockchain Technology Public Transportation Co-payment Systems data Verification Interoperability Transaction Security Decentralized Networks Zero-Knowledge Proofs Standardized data Format Privacy Preservation

来源：评论

学校读者我要写书评

暂无评论

Assessing E-Learning Satisfaction in Saudi Higher Education Post-COVID-19: A Conceptual Framework for e-Services Impact Analysis 19

Assessing E-Learning Satisfaction in Saudi Higher Education ...

引用

19th conference on Computer Science and Intelligence Systems

作者： Alshammari, Wafa Beloff, Natalia White, Martin Northern Border Univ Dept Informat Syst Coll Comp & Informat Technol Rafha Saudi Arabia Univ Sussex Dept Informat Brighton E Sussex England

ISBN: (纸本)9798350359718;9788396960160

After the COVID-19 pandemic, e-learning was adopted by different institutions globally to cope with increasing demands for distance learning, especially in higher education. However, assessing student satisfaction remains challenging due to limitations, such as low motivation without face-to-face interaction. this paper presents a conceptual framework for e-Services Impact Analysis (eSIAF) for higher education institutions in Saudi Arabia. Based on a number of technology acceptance theories, this conceptual framework highlights several models adopted to examine different users' satisfaction with e-learning service quality among students, teachers, administrators, and e-learning technologists. this paper is part of ongoing research, which will be followed by data collection from eight higher education institutions. After data collection and further processing, a quantitative method will be used to validate the framework. Based on the findings of the study, different approaches can be adopted to increase the satisfaction level of e-learning in higher educational institutes in Saudi Arabia.

关键词： higher education online learning e-learning

来源：评论

学校读者我要写书评

暂无评论

Adaptive Finite Impulse Response Filter Based on Time Delay Neural Network 19

Adaptive Finite Impulse Response Filter Based on Time Delay ...

引用

IEEE 19th International conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH)

作者： Sushchenko, Olha Bezkorovainyi, Yurii Salyuk, Oleksander Zhdanov, Oleksander Natl Aviat Univ Aerosp Control Syst Dept Kiev Ukraine Natl Aviat Univ Dept Aerodynam & Aircraft Flight Safety Kiev Ukraine

ISBN: (纸本)9798350378634;9798350378627

this paper discusses the design of an adaptive system for filtering primary navigation information obtained from MEMS sensors based on the approximation of a non-causal finite impulse response filter using a time delay neural network. Basic principles of finite impulse response filters are represented. Characteristics of the most widespread filters acceptable for processing data in MEMS devices are given. the approach to design of the adaptive non-casual filter using a time delay neural network are represented. Simulation results is given.

关键词： adaptive filter finite impulse response neural network time delay processing data

来源：评论

学校读者我要写书评

暂无评论

Communication-Efficient Personalized Federated Learning on Non-IID data 19

Communication-Efficient Personalized Federated Learning on N...

引用

19th International conference on Mobility, Sensing and Networking (MSN)

作者： Li, Xiangqian Ma, Chunmei Huang, Baogui Li, Guangshun Qufu Normal Univ Qufu Shandong Peoples R China

ISBN: (纸本)9798350358261;9798350358278

In this paper, we explore the challenges associated with federated learning, a distributed machine learning paradigm that promotes collaborative model training while preserving the privacy of local client data. One significant hurdle is the non-IID nature of clients' data, alongside limited communication resources between clients and the cloud server. these statistical heterogeneity and communication resource limitations pose practical obstacles to the implementation of federated learning. To address these challenges, we propose a communication-efficient framework called GCPFL for personalized federated learning. Our framework empowers individual clients to train personalized models while substantially reducing communication costs. Specifically, each client compresses the gradient before uploading it and handles the effects of gradient compression through an error correction process. By uploading only the compressed gradients, the communication costs are significantly diminished. On the cloud server side, the received gradients are recovered into models, and similarity aggregation is performed on these models to facilitate collaboration among clients. Once the aggregated models are received, clients conduct local updates to acquire personalized models. Extensive experimental results illustrate that the GCPFL algorithm not only achieves high model accuracy but also substantially reduces communication costs compared to existing methods.

关键词： federated learning non-IID communication personalized

来源：评论

学校读者我要写书评

暂无评论

data-Driven EEG Model for Predict the Risk during Roundabout Maneuvers 19

Data-Driven EEG Model for Predict the Risk during Roundabout...

引用

19th Annual International IEEE conference on System of Systems Engineering (SoSE)

作者： Zero, Enrico Graffione, Simone Bozzi, Alessandro Sacile, Roberto Univ Genoa Dept Informat Bioengn Robot & Syst Engn DIBRIS I-16145 Genoa Italy

ISBN: (纸本)9798350365924;9798350365917

the behaviour of drivers is significantly influenced by their perception of risk, which can have a profound impact on the transportation environment. this can potentially undermine road safety and efficiency. this study addresses this crucial concern by introducing an algorithm that forecasts driver-perceived risk using data obtained from electroencephalogram (EEG). the algorithm employs a Support Vector Machine (SVM) to develop a strong and predictive model that can forecast perceived risk levels. this model can then be used to inform the implementation of preventive safety measures. the efficacy of the algorithm was evaluated through the use of driving simulations, which involved three participants utilising the SCANeR Studio driving simulator. the simulations involved traversing a two-lane roundabout filled with vehicles and allowed the participants to make decisions during the entry and navigation stages. the results demonstrated the effectiveness of this approach even with a limited dataset with respect to a Pattern Recognition Neural Network (PRNN). this research offers valuable insights into the potential for neurobiological data-driven strategies to enhance driver safety.

关键词： SVM Risk Analysis Autonomous Vehicles

来源：评论

学校读者我要写书评

暂无评论

Sequential Deep Learning Model Development for Battery Remaining Useful Life Forecasting and Anomaly Detection 19

Sequential Deep Learning Model Development for Battery Remai...

引用

IEEE 19th conference on Industrial Electronics and Applications (ICIEA)

作者： Pai, Manohara M. M. Pai, Radhika M. Gupta, Pragya Avadhanam, Ruthvik Manipal Acad Higher Educ Manipal Inst Technol Dept Informat & Commun Technol Manipal 576104 India Manipal Acad Higher Educ Manipal Inst Technol Dept Data Sci & Comp Applicat Manipal 576104 India

ISBN: (纸本)9798350360875;9798350360868

Lithium-ion batteries have become indispensable in various energy storage applications, powering a wide array of devices. Anomaly detection and remaining useful life forecasting are critical tasks in battery management for predictive maintenance and reliability testing. An integrated approach that combines both remaining useful life forecasting and outlier detection is proposed, by monitoring the deviation between prediction and ground truth. this approach is validated using real-world CALCE data and augmented datasets generated from it. First, the capacity degradation of the battery is predicted, then an anomaly is detected if the error crosses a predefined threshold. the models employed achieve high accuracy, forecasting errors limited to 1%, with minimal false positives. this establishes their reliability for practical deployment and makes them comparable to state-of-the-art approaches.

关键词： Lithium-ion Battery Normalised capacity Degradation pattern Remaining useful life Forecasting Recurrent neural networks Long-short term memory Gated recurrent network Time series data Sliding window

来源：评论

学校读者我要写书评

暂无评论

Simulating charging behavior of electric vehicles: review and comparison with empirical data 19

Simulating charging behavior of electric vehicles: review an...

引用

19th International conference on the European Energy Market (EEM)

作者： Muessel, Jarusch Ruhnau, Oliver Madlener, Reinhard Potsdam Inst Climate Impact Res Potsdam Germany Hertie Sch Berlin Germany Rhein Westfal TH Aachen Inst Future Energy Consumer Needs & Behav FCN Aachen Germany

ISBN: (纸本)9798350312584

Electric vehicles (EVs) are an important option to decarbonize the passenger transport sector and, therefore, critical to be adequately represented in energy system models. One of the main challenges is to model the volatility associated with charging EVs. We provide an overview of existing modeling approaches for this. We especially compare methods for simulating charging profiles and discuss their advantages and disadvantages, depending on the application. On that basis, we pick one simulation approach and generate time series for a case study of Germany in 2030. We assess the results and compare them with a large empirical dataset on EV charging in the UK. We derive recommendations for the future modeling of EVs.

关键词： aggregation electric vehicles demand-side flexibility representativity virtual storage

来源：评论

学校读者我要写书评

暂无评论

ASTC: An Adaptive Gradient compression Scheme for Communication-Efficient Edge Computing 23

ASTC: An Adaptive Gradient Compression Scheme for Communicat...

引用

23rd IEEE International conference on High Performance Computing and Communications, 7th IEEE International conference on data Science and Systems, 19th IEEE International conference on Smart City and 7th IEEE International conference on Dependability in Sensor, Cloud and Big data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Wu, Jun Mao, Yingchi Xu, Xuesong School of Computer and Information Hohai University Nanjing China Hohai University Key Laboratory of Water Big Data Technology of Ministry of Water Resources Nanjing China

ISBN: (纸本)9781665494571

In edge computing, though distributed training of Deep Neural Network (DNN) is expected to exchange massive gradients between the parameter servers and workers, the high communication cost constrains the training speed. To break this limitation, the gradient compression algorithms employ the ultimate compression ratio at the expense of the accuracy of the trained model. therefore, new gradient compression techniques are necessary to ensure both communication efficiency and model accuracy. this paper introduced a novel technique - an Adaptive Sparse Ternary Gradient compression (ASTC) scheme to enhance the communication efficiency and training accuracy during the DNN training. Specifically, ASTC firstly establishes the model compression selection criterion by the amount of gradients to compress the network layer that meets the criterion. Secondly, ASTC evaluates the gradients' importance based on entropy to adaptively perform sparse compression. Finally, ASTC performs ternary quantization compression and a lossless code scheme to further reduce the communication cost. Numerical results demonstrate that the average iteration time of ASTC can be reduced largely compared to the state-of-art benchmark schemes. Furthermore, ASTC improves an average of about 1.9% in training accuracy. © 2021 IEEE.

关键词： Training Adaptation models Costs Quantization (signal) Smart cities Computational modeling Benchmark testing

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 << < 6 7 8 9 10 11 12 13 14 15 > >>

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：