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

7,090 篇 会议
48 篇 期刊文献
39 册 图书

馆藏范围

7,177 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4,913 篇 工学
- 4,098 篇 计算机科学与技术...
- 2,520 篇 软件工程
- 1,048 篇 信息与通信工程
- 789 篇 控制科学与工程
- 663 篇 生物工程
- 643 篇 电气工程
- 424 篇 生物医学工程（可授...
- 285 篇 交通运输工程
- 281 篇 机械工程
- 226 篇 仪器科学与技术
- 226 篇 安全科学与工程
- 206 篇 建筑学
- 197 篇 动力工程及工程热...
- 185 篇 光学工程
- 166 篇 化学工程与技术
- 154 篇 土木工程
1,899 篇 理学
- 1,065 篇 数学
- 717 篇 生物学
- 442 篇 统计学（可授理学、...
- 285 篇 物理学
- 252 篇 系统科学
- 140 篇 化学
1,151 篇 管理学
- 655 篇 管理科学与工程(可...
- 582 篇 图书情报与档案管...
- 315 篇 工商管理
407 篇 医学
- 353 篇 临床医学
- 297 篇 基础医学(可授医学...
- 188 篇 药学(可授医学、理...
244 篇 教育学
- 243 篇 教育学
211 篇 法学
- 197 篇 社会学
119 篇 农学
111 篇 经济学
50 篇 文学
7 篇 艺术学
5 篇 军事学

主题

558 篇 machine learning
456 篇 deep learning
267 篇 training
253 篇 data mining
245 篇 data models
220 篇 feature extracti...
211 篇 accuracy
184 篇 support vector m...
178 篇 predictive model...
138 篇 neural networks
133 篇 computational mo...
131 篇 reinforcement le...
129 篇 machine learning...
110 篇 convolutional ne...
103 篇 real-time system...
92 篇 artificial intel...
89 篇 learning systems
88 篇 transfer learnin...
87 篇 forecasting
86 篇 big data

机构

69 篇 chitkara univers...
17 篇 school of electr...
15 篇 computer science...
14 篇 harbin engineeri...
13 篇 graphic era hill...
12 篇 building civil a...
12 篇 uttaranchal inst...
12 篇 computer science...
11 篇 university of ch...
10 篇 school of electr...
10 篇 school of comput...
10 篇 graphic era deem...
10 篇 school of electr...
10 篇 yonsei univ dept...
9 篇 wuhan university...
9 篇 univ chinese aca...
9 篇 school of inform...
8 篇 school of remote...
7 篇 university of sa...
7 篇 microsoft resear...

作者

17 篇 kukreja vinay
15 篇 vinay kukreja
13 篇 yin hujun
12 篇 liu yang
12 篇 corchado emilio
12 篇 cho sung-bae
10 篇 shiva mehta
10 篇 hujun yin
10 篇 mehta shiva
9 篇 notsu akira
9 篇 silva catarina
9 篇 alhajj reda
7 篇 ksieniewicz pawe...
7 篇 hammer barbara
7 篇 zhang byoung-tak
7 篇 wozniak michal
7 篇 hussain abir
7 篇 huang de-shuang
6 篇 héctor quintián
6 篇 tang ke

语言

6,195 篇 英文
971 篇 其他
31 篇 中文
1 篇 西班牙文
1 篇 俄文

检索条件"任意字段=11th International Conference on Intelligent Data Engineering and Automated Learning"

共 7177 条记录，以下是1071-1080 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：

Proceedings - 2023 IEEE international conference on Cloud engineering, IC2E 2023

Proceedings - 2023 IEEE International Conference on Cloud En...

引用

11th IEEE international conference on Cloud engineering, IC2E 2023

ISBN: (纸本)9798350343946

the proceedings contain 31 papers. the topics discussed include: cost-effective scheduling for Kubernetes in the edge-to-cloud continuum;energy-efficient OECT sensor data analysis on constrained edge devices;CLOUDFACTORY: an open toolkit to generate production-like workloads for cloud infrastructures;a reinforcement learning approach for performance-aware reduction in power consumption of data center compute nodes;protocol-independent context propagation for sharing microservices in multiple environments;towards serverless sky computing: an investigation on global workload distribution to mitigate carbon intensity, network latency, and cost;evaluation of data enrichment methods for distributed stream processing systems;and breaking the vicious circle: self-adaptive microservice circuit breaking and retry.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Handwritten Character Recognition with Convolution Neural Network 6th

Handwritten Character Recognition with Convolution Neural Ne...

引用

6th international conference on intelligent Communication, Control and Devices, ICICCD 2024

作者： Soni, Vishnu Kant Chouksey, Praveen Tandan, S.R. Miri, Rohit Nema, Neetesh Kumar Naik, Muskan Dr. C. V. Raman University C.G. Bilaspur India Department of Computer Science and Engineering Dr. C. V. Raman University C.G. Bilaspur India Department of Computer Science Government R. V. R. S. Kanya Mahavidyalaya C.G. Kawardha India Department of Computer Science and Engineering UTD CSVTU Bhilai C.G. Bhilai India Department of Computer Science and Engineering Lakhmi Chand Institute of Technology C.G. Bilaspur India

ISBN: (纸本)9789819783281

In the realm of pattern recognition, the automated detection of handwritten text or symbols poses intricate challenges in the field of handwriting recognition. the paper introduces a novel approach that considers the batch_size to calculate the accuracy of the machine learning method to attain precise and effective recognition of handwritten characters. the suggested technique employs artificial neural networks, particularly convolutional neural networks (CNNs), to train a model skilled of precisely identifying and categorizing handwritten characters. Experimental result indicates that the proposed model achieves a notable accuracy percentage of 99.10% on a widely used data set (NIST). the attained high level of accuracy accentuates the effectiveness and viability of machine learning algorithms in research works related to handwriting recognition. the achievement also paves the way for numerous potential applications in fields like document analysis, optical character recognition, and interfaces based on handwriting. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Research on Project Evaluation System for Aerospace Enterprises Based on Big data 11th

Research on Project Evaluation System for Aerospace Enterpri...

引用

11th international conference on Signal and Information Processing, Network and Computers, ICSINC 2023

作者： Liu, Can Zuo, Bo Wang, Siyuan China Academy of Space Technology 104 Youyi Road Haidian District Beijing China

ISBN: (纸本)9789819721238

As we enter a new stage of aerospace development, traditional aerospace project evaluation models can no longer meet the needs of aerospace enterprises. the era of big data provides technical support for the systematic, model-based, and intelligent management of aerospace enterprise project evaluations. Based on big data layered processing and using information technology as a tool, this paper proposes a project evaluation system for aerospace enterprises, which includes three levels DOS, DGL and DSL. It also explores an integrated data evaluation model, which can reflect the value of different projects to enterprise development in a real-time, accurate, and visual manner. this system collects various types of raw data to the big data platform, manages the original big data based on the data model;and provides effective guidance for optimizing management mechanisms in aerospace enterprises. We hope it can generate a powerful synergy for innovation and support high-quality development of aerospace enterprises. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Benchmarking data Augmentation Techniques for Tabular data 1

引用

23rd international conference on intelligent data engineering and automated learning (IDEAL)

作者： Machado, Pedro Fernandes, Bruno Novais, Paulo Univ Minho ALGORITMI Ctr Braga Portugal

ISBN: (数字)9783031217531

ISBN: (纸本)9783031217524;9783031217531

Imbalanced learning and small-sized datasets are usual in machine learning problems, even with the increased data availability provided by recent developments. the performance of learning algorithms in the presence of unbalanced data and significant class distribution skews is known as the "imbalanced learning problem". the models' performance on such problems can drastically decrease for certain classes with an uneven distribution because the models do not learn the distributive features of the data and present accuracy too favorable for a specific set of classes of data. As an example, this can have negative consequences when talking about cancer detection since the model may poorly identify unhealthy patients. Hence, data augmentation techniques are usually conceived to evaluate how models would behave in non-data-scarce environments, generating synthetic data that mimics the characteristics of real data. By applying those techniques, the amount of available data can be increased, balancing the class distributions. However, there are no standardized data augmentation processes that can be applied to every domain of tabular data. therefore, this study aims to identify which characteristics of a dataset provide a better performance when synthesizing samples by a data augmentation technique in a tabular data environment.

关键词： data augmentation Imbalanced data Machine learning

来源：评论

学校读者我要写书评

暂无评论

A Semi-supervised learning Application for Hand Posture Classification 11th

A Semi-supervised Learning Application for Hand Posture Cla...

引用

11th and 12th EAI international conference on Big data Technologies and Applications, BDTA 2021 and BDTA 2022

作者： Nan, Kailiang Hu, Shengnan Luo, Haozhe Wong, Patricia Pourroostaei Ardakani, Saeid School of Computer Science University of Nottingham Ningbo China Ningbo315100 China School of Computer Science University of Lincoln LincolnLn6 7TS United Kingdom

ISBN: (纸本)9783031336133

the rapid growth of HCI applications results in increased data size and complexity. For this, advanced machine learning techniques and data analysis solutions are used to prepare and process data patterns. However, the cost of data pre-processing, labelling, and classification can be significantly increased if the dataset is huge, complex, and unlabelled. this paper aims to propose a data pre-processing approach and semi-supervised learning technique to prepare and classify a big Motion Capture Hand Postures dataset. It builds the solutions via Tri-training and Co-forest techniques and compares them to figure out the best-fitted approach for hand posture classification. According to the results, Co-forest outperforms Tri-training in terms of Accuracy, Precision, recall, and F1-score. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

A novel semi-automatic construction and update method of COVID-19 medical knowledge graph based on deep learning for Chinese 11

A novel semi-automatic construction and update method of COV...

引用

11th international conference on Information Systems and Computing Technology, ISCTech 2023

作者： Zhang, Jin Yan, Shuqi Sun, Cheng Luo, Yuansheng Ruan, Chang Yao, Wei Hunan Normal University College of Information Science and Engineering Changsha410081 China Changsha University of Science & Technology School of Computer and Communication Engineering Changsha410114 China Hunan Normal University School of Mathematics and Statistics Changsha410081 China

ISBN: (纸本)9798350342406

Numerous medical texts about COVID-19 on professional medical websites are credible and frequently updated. However, relatively few studies have concentrated on translating these enormous books into medical knowledge graphs, resulting in a very low level of usage of these texts. this study provides a novel method for the semi-automatic construction and update of COVID-19 medical knowledge graphs based on multiple advanced deep learning models for Chinese to address aforementioned issues. the created knowledge graph can serve as the data layer for AI applications such as intelligent Q&A and knowledge reasoning. First, the COVID-19 medical ontology must be manually built. then, the Roberta-WWM-BiLSTM-CRF model is proposed to automatically recognize Chinese medical entities, along with the multi-strategy fusion relation extraction approach based on the CASREL model to mitigate the negative impact of entity overlap. the RotatE model is then utilized to solve the knowledge graph complementation problem and build the knowledge graph. In the experimental part, the performance of the proposed Roberta-WWM-BiLSTM-CRF model is compared to other advanced models. the results indicate that the proposed model can effectively extract multiple types of Chinese medical entities. the F1 value of the proposed named entity recognition model reaches 86.5%, which is 3.86% higher than the advanced model. © 2023 IEEE.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Multi-UAVs Collaborative Search Scheme in Marine Environments using Deep Reinforcement learning 11

Multi-UAVs Collaborative Search Scheme in Marine Environment...

引用

11th international conference on Advanced Cloud and Big data, CBD 2023

作者： Guo, Kai Luo, Hanjiang Tao, Hang Ruby, Rukhsana Qin, Zhizun Liu, Kui Shandong University of Science and Technology College of Computer Science and Engineering Qingdao China Shenzhen University College of Computer Science and Software Engineering Shenzhen China

ISBN: (纸本)9798350345346

Unmanned aerial vehicles (UAVs) have mobility in harsh environments and the flexibility to modify their flight altitude to acquire information in an adaptive manner, so these vehicles can be leveraged to solve the informative path planning (IPP) problem. As most of the research on IPP currently are on static targets and terrain detection tasks, in this paper, we focus on the search for dynamic targets on the sea surface, and study the issue of collaborative search with multiple granularities using a swarm of UAVs in marine environments. To capture the objects of interest (OOI), we design a binary classifier for UAVs to sense OOI based on a depth perception model of cameras. Afterwards, we propose a collaborative search scheme using the multi-agent deep deterministic policy gradient (MADDPG) approach to enable a swarm of UAVs to simultaneously maintain formation coordination while adapting to digital pheromone strength. the experimental results show that the proposed scheme can effectively detect targets on the sea surface in a multi-granular collaborative manner. © 2023 IEEE.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

Low-Dimensional Non-Linear Luenberger Observer for thermal Distribution of Wafer in Rapid thermal Processing Process 11

Low-Dimensional Non-Linear Luenberger Observer for Thermal D...

引用

11th IEEE data Driven Control and learning Systems conference, DDCLS 2022

作者： Xiao, Tengfei Kong, Ying Li, Xiao-Dong School of intelligent systems engineering Sun Yat-Sen University Guangzhou China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

A low-dimensional non-linear observer is developed in this paper for the estimation of the thermal distribution in a rapid thermal processing (RTP) process. Based on the reduced model obtained from Galerkin's method, a low-dimensional non-linear Luenberger observer is designed to re-construct the thermal distribution from the output data of the point temperature sensors. Test results in a RTP system show fast convergence speed and small estimated errors of the proposed observer. © 2022 IEEE.

关键词： Rapid thermal processing

来源：评论

学校读者我要写书评

暂无评论

Cooperative learning Strategy for Human Behavior Prediction Using Multi-Modal data 14

Cooperative Learning Strategy for Human Behavior Prediction ...

引用

14th international conference on Information and Communication Technology Convergence, ICTC 2023

作者： Lee, Doyun Lee, Hoon Pukyong National University Department of Intelligent Robot Engineering Busan Korea Republic of Unist Department of Electrical Engineering Ulsan Korea Republic of

ISBN: (纸本)9798350313277

Understanding human behaviors leads to fully-automated systems in the near future. this paper investigates a deep learning solution that forecasts human activity patterns based on sensing signals measured by internet-of-things devices. Practical limitations on these small-form-factor sensors request remote deep learning services at a distant edge computing server. therefore, we need to involve impairments in sensor-server communication phases, such as random packet loss, resource constraint, and propagation noise, in the design of the remote learning architecture. To address these challenges, we propose a collaborative learning strategy among the sensors and server. Each sensor is equipped with its own encoding neural network that compresses high-dimensional sensing signals to communication messages. these are forwarded to the server through imperfect backhaul channels. then, a classifier at the server infers desired labels. A joint training mechanism of the encoders and classifier is developed along with the channel impairment. By doing so, we can obtain a robust prediction model for arbitrary communication noises. Numerical results demonstrate the viability of the proposed methods. © 2023 IEEE.

关键词： human behavior prediction Lifelog dataset multi-modal features

来源：评论

学校读者我要写书评

暂无评论

automated Heart Murmur Detection using Sound Processing Techniques 27

Automated Heart Murmur Detection using Sound Processing Tech...

引用

27th international conference on Knowledge Based and intelligent Information and engineering Sytems, KES 2023

作者： Costandache, Mihai-Andrei Cioata, Matei-Alexandru Iftene, Adrian Faculty of Computer Science Alexandru Ioan Cuza University Iasi Romania

the technological progress in computer science (particularly, in machine learning) has contributed to the improvement of medical services, both in detecting and treating diseases. the large volumes of data, that are overwhelming for human experts (doctors, nurses), can easily be managed by automated systems, as long as we have the computational resources. Obviously, human experts are still essential in the process - we think of the use of computer science in medicine as a collaboration between medical staff and artificial intelligence. the usual types of data that can be processed by automated systems are text, sound, and image types. In this paper, we approach the diagnosis subject and focus on data consisting of sound. We created a heart murmur detection system - it analyzes recordings and tells the user whether the sound samples indicate a heart murmur or not, based on a trained machine learning model. One of the main advantages of our system is the fact that we ran a large number of experiments, with different configurations of denoising techniques and features taken into consideration. We were able to draw some interesting conclusions, for example, we found out which features are the most important for the classification and which features are not worth computing. Also, our work denotes a thorough understanding of sound processing. © 2023 the Authors. Published by Elsevier B.V. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： disease detection heart murmur machine learning sound processing

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 << < 104 105 106 107 108 109 110 111 112 113 > >>

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：