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

2,354 篇 期刊文献
1,834 篇 会议
18 册 图书

馆藏范围

4,206 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,647 篇 工学
- 1,914 篇 计算机科学与技术...
- 1,587 篇 软件工程
- 578 篇 信息与通信工程
- 413 篇 生物工程
- 333 篇 电气工程
- 330 篇 控制科学与工程
- 309 篇 生物医学工程（可授...
- 280 篇 光学工程
- 248 篇 电子科学与技术（可...
- 145 篇 化学工程与技术
- 113 篇 机械工程
- 103 篇 仪器科学与技术
- 102 篇 网络空间安全
- 95 篇 安全科学与工程
- 93 篇 动力工程及工程热...
1,740 篇 理学
- 821 篇 数学
- 558 篇 物理学
- 474 篇 生物学
- 313 篇 统计学（可授理学、...
- 182 篇 化学
- 129 篇 系统科学
- 117 篇 地球物理学
725 篇 管理学
- 386 篇 管理科学与工程(可...
- 367 篇 图书情报与档案管...
- 198 篇 工商管理
312 篇 医学
- 273 篇 临床医学
- 229 篇 基础医学(可授医学...
- 134 篇 公共卫生与预防医...
- 128 篇 药学(可授医学、理...
118 篇 法学
- 106 篇 社会学
65 篇 经济学
65 篇 农学
52 篇 教育学
16 篇 文学
5 篇 军事学
2 篇 艺术学

主题

141 篇 deep learning
131 篇 accuracy
122 篇 machine learning
102 篇 training
98 篇 feature extracti...
82 篇 real-time system...
77 篇 computational mo...
77 篇 predictive model...
74 篇 semantics
68 篇 data models
63 篇 convolutional ne...
50 篇 internet of thin...
50 篇 generative adver...
46 篇 artificial intel...
45 篇 reinforcement le...
45 篇 image segmentati...
45 篇 optimization
45 篇 adaptation model...
41 篇 neural networks
41 篇 visualization

机构

178 篇 university of ch...
161 篇 college of compu...
81 篇 cas key lab of n...
63 篇 school of comput...
61 篇 cas key laborato...
52 篇 institute of com...
49 篇 institute of dat...
49 篇 national enginee...
44 篇 school of comput...
41 篇 nanyang technolo...
41 篇 data science ins...
40 篇 department of co...
28 篇 college of compu...
28 篇 beijing advanced...
27 篇 dipartimento di ...
26 篇 the oskar klein ...
25 篇 institute of hig...
25 篇 peng cheng labor...
24 篇 national institu...
24 篇 department of br...

作者

156 篇 cheng xueqi
93 篇 guo jiafeng
66 篇 niyato dusit
43 篇 shen huawei
35 篇 chen mingzhe
34 篇 lan yanyan
33 篇 jin xiaolong
30 篇 shen linlin
27 篇 e. j. siskind
27 篇 r. bellazzini
25 篇 j. b. thayer
25 篇 p. spinelli
24 篇 m. kuss
24 篇 pang liang
23 篇 p. a. caraveo
23 篇 p. f. michelson
23 篇 s. ciprini
23 篇 r. rando
23 篇 s. guiriec
22 篇 guo yike

语言

3,607 篇 英文
581 篇 其他
28 篇 中文

检索条件"机构=Institute for Data Science and Computing"

共 4206 条记录，以下是301-310 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 Local Regression-Based SLA-Aware Energy-Efficient Virtual Machine Consolidation Algorithm in data Centers 9

A Local Regression-Based SLA-Aware Energy-Efficient Virtual ...

引用

9th International Conference on Big data computing and Communications, BigCom 2023

作者： Wu, Xiaodong Wang, Ronghai Lin, Guoxin Quanzhou Normal University School of Mathmatics and Computer Science China Fujian Province University Fujian Provincial Key Laboratory of Data-Intensive Computing Key Laboratory of Intelligent Computing and Information Processing Fujian China Provincial Big Data Research Institute of Intelligent Manufacturing Quanzhou China

ISBN: (纸本)9798350331240

Virtual Machine Consolidation (VMC) is an effective means to improve the resource utilization and reduce energy consumption of data centers. However, the VMC optimization that only considers energy consumption may lead to SLA (Service-Level Agreements) violations and thus fail to guarantee the QoS (Quality of Service) provided. Therefore, it is necessary to consider both energy saving and SLA violations in the process of VMC. In this paper, we propose an energy and SLA-aware VMC algorithm that considers both energy saving and SLA violation optimization in data centers. The proposed algorithm uses the local regression method to predict the utilization of virtual machines, based on which it determines whether the host will be overloaded, so as to make the decision of virtual machine migrations. The proposed VMC algorithm is evaluated with CloudSim toolkit. Simulation results demonstrate that our algorithm has good energy saving performance and can effectively reduce SLA violation in cloud data center. Considering energy consumption and SLA violation, the ESV can be reduced by 7.57% on average and 16.36% at most compared with other algorithms. © 2023 IEEE.

关键词： Virtual machine

来源：评论

学校读者我要写书评

暂无评论

Interpretable Deep Learning for Solar Flare Prediction 36

Interpretable Deep Learning for Solar Flare Prediction

引用

36th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2024

作者： Gazula, Vinay Ram Herbert, Katherine G. Abduallah, Yasser Wang, Jason T. L. New Jersey Institute of Technology Department of Data Science NewarkNJ07102 United States School of Computing Montclair State University MontclairNJ07043 United States New Jersey Institute of Technology Department of Computer Science NewarkNJ07102 United States

ISBN: (纸本)9798331527235

We propose to incorporate three interpretable methods, namely SHAP (SHapley Additive exPlanations), PDP (partial dependence plots) and Anchors, into a deep learning-based model, called SolarFlareNet, for operational flare forecasting. SolarFlareNet takes as input a sample of SHARP (Space-weather HMI Active Region Patches) magnetic parameters and predicts as output whether a solar flare would occur within the next 24 hours. We analyze flare events that occurred from May 2010 to December 2022 using the Geostationary Operational Environmental Satellite's X-ray flare catalogs and construct a database of flares with identified active regions in the catalogs. This database, together with the SHARP magnetic parameters, is used to train and test the SolarFlareNet model. Our experimental results describe the use of the three proposed methods (SHAP, PDP, and Anchors) to interpret the SolarFlareNet model and demonstrate the effectiveness of the methods. © 2024 IEEE.

关键词： Geostationary satellites

来源：评论

学校读者我要写书评

暂无评论

An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design 13

An Elite Archive-Assisted Multi-Objective Evolutionary Algor...

引用

13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Hong, Wenjing Chen, Cheng Zhu, Zexuan Tang, Ke Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen China Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen China

ISBN: (纸本)9798350308365

Messenger RNA (mRNA) vaccines have emerged as highly effective strategies in the prophylaxis and treatment of diseases. mRNA design, a key to the success of mRNA vaccines, in-volves finding optimal codons and increasing secondary structure stability to lengthen mRNA half-life, ultimately enhancing protein expression. Despite receiving widespread attention, most methods primarily rely on manual design, which is time-consuming and labor-intensive. While optimization approaches can alleviate this issue, existing methods still exhibit critical limitations caused by conflicts between codon usage and mRNA structural stability, compounded by the vast design space of mRNA resulting from the presence of synonymous codons. In this paper, a novel multi-objective evolutionary optimization-based mRNA design method is proposed. We first formulate the mRNA design problem as a multi-objective optimization problem and then develop an Elite Archive-Assisted Multi-Objective Evolutionary algorithm for mRNA Design, namely EAA-MOED, by incorporating a novel elite archive-assisted method into a weighted optimization framework to improve search efficiency. Experimental studies, involving two state-of-the-art mRNA design methods and five well-known MOEAs, show the competitiveness of the proposed EAA-MOED in mRNA design. © 2024 IEEE.

关键词： Vaccines

来源：评论

学校读者我要写书评

暂无评论

What makes a successful rebuttal in computer science conferences?: A perspective on social interaction

What makes a successful rebuttal in computer science confere...

引用

作者： Huang, Junjie Huang, Win-bin Bu, Yi Cao, Qi Shen, Huawei Cheng, Xueqi Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Department of Information Management Peking University Beijing China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China

With an exponential increase in submissionsto top-tier Computer science (CS) conferences, more and more conferences have introduced a rebuttal stage to the conference peer review process. The rebuttal stage can be modeled as social interactions between authors and reviewers. A successful rebuttal often results in an increased review score after the rebuttal stage. In this paper, we conduct an empirical study to determine the factors contributing to a successful rebuttal using over 3000 papers and 13,000 reviews from ICLR2022, one of the most prestigious computer science conferences. First, we observe a significant difference in review scores before and after the rebuttal stage, which is crucial for paper acceptance. Furthermore, we investigate factors from the reviewer's perspective using signed social network analysis. A notable finding is the increase in balanced network structure after the rebuttal stage. Subsequently, we evaluate several quantifiable author rebuttal strategies and their effects on review scores. These strategies can help authors in improving their review scores. Finally, we used machine learning models to predict rebuttal success and validated the impact of potential factors analyzed in this paper. Our experiments demonstrate that the utilization of all features proposed in this study can aid in predicting the success of the rebuttal. In summary, this work presents a study on the impact factors of successful rebuttals from both reviewers’ and authors’ perspectives and lays the foundation for analyzing rebuttals with social network analysis. © 2023 Elsevier Ltd

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Multi-modal Denoising Diffusion Pre-training for Whole-Slide Image Classification 24

Multi-modal Denoising Diffusion Pre-training for Whole-Slide...

引用

32nd ACM International Conference on Multimedia, MM 2024

作者： Lou, Wei Li, Guanbin Wan, Xiang Li, Haofeng The Chinese University of Hong Kong Shenzhen Shenzhen China Shenzhen Research Institute of Big Data Shenzhen China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Provincial Key Laboratory of Big Data Computing Shenzhen China

ISBN: (纸本)9798400706868

Whole-slide image (WSI) classification methods play a crucial role in tumor diagnosis. Most of them use hematoxylin and eosin (H&E) stained images, while Immunohistochemistry (IHC) staining provides molecular markers and protein expression information that highlights cancer regions. However, obtaining IHC-stained images requires higher costs in practice. In this work, we propose a multi-modal denoising diffusion pre-training framework that harnesses the advantages of IHC staining to learn visual representations. The framework is trained with the H&E-to-IHC re-staining task and IHC-stained image reconstruction task, which helps capture the structural similarity and staining difference between two image modalities. The trained model can then provide IHC-guided features, by taking only H&E-stained images as inputs. Besides, we build a new class-constraint constrastive loss to achieve the semantic consistency between dual-modal features from our pre-training framework. To integrate with WSI classifiers based on multi-instance learning, we further propose a bag feature augmentation strategy to extend bags with the features extracted by our pre-trained model. Experimental results on three datasets show that our pre-training framework effectively improves WSI classification and surpasses the state-of-the-art pre-training approaches. Code and model are released via https://***/lhaof/MDDP. © 2024 ACM.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Grade It: A Quantitative Essay Grading System 6th

Grade It: A Quantitative Essay Grading System

引用

6th International Conference on Innovative computing and Communication, ICICC 2023

作者： Vanga, Roopchand Reddy Bharath, M.S. Sindhu, C. Vadivu, G. Hsu, Hsiu Chun Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur603203 India Department of Data Science and Business Systems SRM Institute of Science and Technology Kattankulathur603203 India Department of Information Management National Chung Cheng University Minxiong Taiwan

ISBN: (纸本)9789819930098

Automated writing evaluation system that employs automated essay scoring technologies generates a rating to the writings which helps students with self-assessment. It provides an efficient and easy way for grading essays, which usually takes abundance of time to be evaluated by human graders;this can be greatly useful for educational institutions like schools and colleges. It provides ratings for essays based on the grammatical errors and topic relevancy by using specific tools implemented in the auto grading system. The generated result will help students grading essays which helps students in self-assessment, this will be useful for the student to understand the mistakes that he makes which will be pinpointed by the system in matter of time, not only that the system also displays the strengths of the user, but also the system will improve the accuracy compared to already existing automated grading system. The system uses scores from multiple features (handcraft features, coherence score, prompt-relevant score, and semantic score). These key features illustrated above will provide enough information on the essay for the student. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Examination of model by Bayesian Approach for Cognitive Impairment and Alzheimer Disease

Examination of model by Bayesian Approach for Cognitive Impa...

引用

2022 International Conference on Communication, computing and Internet of Things, IC3IoT 2022

作者： Roobini, M.S. Lakshmi, M. Sathyabama Institute of Science and Technology Chennai600127 India Srm Institute of Science and Technology School of Computing Department of Data Science and Business Systems Kattankulathur603203 India

ISBN: (纸本)9781665479950

Alzheimer and cognitive impairment are very dangerous disorders in the world. While cognitive decline is connected with Alzheimer. More researches have been carried out in recent days. Alzheimer is a kind of disease which is very much less in exposure. This paper gives a detailed explanation about the cognitive decline and its association with Alzheimer Disease and also some approaches. A conceptual framework for screening and therapy has been developed, as well as potential research requirements. This paper computes the model which gives better performance, worse, or nearly equal to another within the Bayesian technique. GridSearch revealed that CV 'rbf1' have 7.8% possibility to be worst condition than 'linear', and have 2.8 percent to be worse than '3 poly1'. Both have a percent chance of nearly comparable, but 'rbf1' and '3 poly1' only have a 12% chance. © 2022 IEEE.

关键词： Bayesian networks

来源：评论

学校读者我要写书评

暂无评论

Intelligent Refrigerator using Machine Learning and IoT

Intelligent Refrigerator using Machine Learning and IoT

引用

2022 IEEE International Conference on Advances in computing, Communication and Applied Informatics, ACCAI 2022

作者： Rajeswari, D. Srinivasan, R. Ramamoorthy, S. Pushpalatha, M. School of Computing College of Engineering and Technology Department of Data Science and Business Systems India School of Computing College of Engineering and Technology SRM Institute of Science and Technology Department of Computing Technologies Kattankulathur603203 India

ISBN: (纸本)9781665495295

Machine Learning and Internet of Things (IoT) play a vital role in the current electronics world. Electronic appliances operated by humans are automated and accessed remotely via IoT and 5G networks. Smart Cars, Drone Deliveries, and Intelligent Refrigerators are some of IoT and machine learningmajor applications. Potentially, with the aid of computing devices Intelligent Refrigerators can be accessed from anywhere and anytime. In Intelligent Refrigerators,a single tap on the computing devices predicts the quality of food items kept in the refrigerator. Besides, in order to work smartly, intelligent IoT devices deployed in intelligent refrigerators predict food quality anonymously using machine learningtechniques. This paper uses ensemble machine learning technique with naive bayes, support vector machine and decision tree to classify the considered fruits are spoiled or not. © 2022 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Machine Learning-Based Timeseries Analysis for Cryptocurrency Price Prediction: A Systematic Review and Research 1

Machine Learning-Based Timeseries Analysis for Cryptocurrenc...

引用

1st IEEE International Conference on Networking and Communications, ICNWC 2023

作者： Kumar.a, Siva Pv, Gopirajan Jackson, Beulah SRM Institute of Science and Technology Kattankulathur Campus School of Computing Department of Data Science and Business Systems Chennai603203 India Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology Department of ECE Chennai India

ISBN: (纸本)9798350336009

A virtual currency known as cryptocurrencies holds all business online. It's virtual money that wouldn't materialize like complicated conventional paper currency. Thus, this study emphasizes a distinction between distributed paper currency and cryptocurrencies, where these individuals may access information without outside interference. Because of its considerable market swings, such cryptocurrencies have an influence upon commerce as well as foreign diplomacy. Virtual currencies which are available in the market, such as Bitcoin (BTC), Ethereum (ETH), Terra (LUNA), Solana (SOL), Cardano (ADA), Tether (USDT), Binance coin (BNB), USD coin, XRP coin, Avalanche coin (AVAX) and Lite coin (LTC), etc. This study focussed on a detailed analysis of the literature about Machine Learning (ML) methods used for predictions. This proposed work also focused on implementing an efficient Machine Learning (ML)-based time series model for predicting BTC cryptocurrency prices. Long Short-Term Memory (LSTM) forecasting theory was established to accommodate the fluctuation of bitcoin prices and achieve great precision. The effectiveness of the LSTM in predicting the price of a cryptocurrency is demonstrated by this suggested study's comparison between it and comparable time-series models. © 2023 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 Efficient Capsule Based Neural Network for Detection of Grape Plant Leaf Disease and Disease Stages 5

An Efficient Capsule Based Neural Network for Detection of G...

引用

5th International Conference on Emerging Systems and Intelligent computing, ESIC 2025

作者： Vasudevan, N. Praveenkumar, S. Srm Institute of Science and Technology School of Computing Department of Data Science and Business Systems Tamilnadu kattankulathur India

ISBN: (纸本)9798331522100

Plant infections destroy and impair the quality of crops, and the pesticides used to treat them pollute the soil, rendering it unfit for planting. Image processing and deep learning technologies may be used to identify disease spots on grape leaves. The detection's precision and efficiency, on the other hand, remain problems. In this paper, the performance of a few well-known CNN models implemented utilizing transfer learning, such as ResNet18, VGG16, and GoogleNet were compared with capsule network. The local entity characteristics are first found by the Capsule layers. For the purpose of collecting aggregate data like "disease type"and "disease stage,"the capsule layer makes use of geographic information and the frequency of local-level characteristics. Colored pictures of strong and unhealthy leaves were taken from the public dataset and then used to train the models. The proposed work focused on the novelty concept of identifying the stages of diseases. The Capsule based classification technique can give competitive benefits with an effective classification of accuracy and stages of leaf disease related to other models. © 2025 IEEE.

关键词： Agricultural engineering classifications diseases image processing 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421页 << < 27 28 29 30 31 32 33 34 35 36 > >>

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：