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

8,608 篇 会议
1,297 册 图书

馆藏范围

9,905 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

8,123 篇 工学
- 7,165 篇 计算机科学与技术...
- 1,833 篇 软件工程
- 1,501 篇 信息与通信工程
- 1,000 篇 控制科学与工程
- 561 篇 机械工程
- 491 篇 生物工程
- 355 篇 生物医学工程（可授...
- 183 篇 网络空间安全
- 181 篇 电气工程
- 162 篇 光学工程
- 149 篇 化学工程与技术
- 140 篇 安全科学与工程
- 137 篇 电子科学与技术（可...
- 131 篇 交通运输工程
- 129 篇 动力工程及工程热...
1,492 篇 理学
- 853 篇 数学
- 513 篇 生物学
- 256 篇 物理学
- 250 篇 统计学（可授理学、...
- 141 篇 系统科学
- 130 篇 化学
1,099 篇 教育学
- 1,099 篇 教育学
862 篇 管理学
- 544 篇 管理科学与工程(可...
- 369 篇 工商管理
- 300 篇 图书情报与档案管...
310 篇 医学
- 306 篇 临床医学
- 304 篇 基础医学(可授医学...
- 184 篇 药学(可授医学、理...
- 146 篇 公共卫生与预防医...
157 篇 法学
124 篇 经济学
- 124 篇 应用经济学
113 篇 农学
10 篇 军事学
1 篇 文学

主题

983 篇 computational in...
847 篇 artificial intel...
564 篇 machine learning
386 篇 deep learning
239 篇 communications e...
220 篇 data engineering
154 篇 cyber-physical s...
151 篇 professional com...
145 篇 internet of thin...
107 篇 blockchain
100 篇 big data
96 篇 iot
90 篇 higher education
87 篇 industry 4.0
87 篇 control, robotic...
84 篇 natural language...
83 篇 education
78 篇 covid-19
78 篇 signal, image an...
69 篇 object detection

机构

66 篇 global knowledge...
33 篇 faculty of scien...
23 篇 ukrainian engn p...
23 篇 iseg universidad...
22 篇 univ tecnol peru...
21 篇 inesc tec porto
18 篇 bauman moscow st...
18 篇 saga university ...
18 篇 univ esan lima p...
18 篇 univ salerno dep...
17 篇 moroccan society...
17 篇 univ politecn sa...
16 篇 cti global
16 篇 aristotle univ t...
16 篇 middlesex univer...
16 篇 department of in...
15 篇 silesian tech un...
14 篇 rabat morocco
14 篇 reshetnev siberi...
14 篇 kaliningrad stat...

作者

82 篇 amit joshi
53 篇 kohei arai
28 篇 janusz kacprzyk
27 篇 álvaro rocha
26 篇 ajith abraham
23 篇 rhalem wajih
22 篇 prajapat shaligr...
22 篇 leonard barolli
21 篇 abhishek swaroop
20 篇 ticona wilfredo
20 篇 kumar tarun
19 篇 anu bajaj
19 篇 nilanjan dey
18 篇 radek silhavy
18 篇 xin-she yang
17 篇 nugent chris
17 篇 valentina emilia...
15 篇 bahaaeddin alare...
15 篇 qjidaa hassan
14 篇 tomonobu senjyu

语言

7,572 篇 英文
2,315 篇 其他
18 篇 中文

检索条件"丛书名=Lecture Notes in Networks and Systems"

共 9905 条记录，以下是3561-3570 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：

Improved Classifier Chain Method Based on Particle Swarm Optimization and Genetic Algorithm for Multilabel Classification Problem 6th

Improved Classifier Chain Method Based on Particle Swarm Opt...

引用

6th International Conference on Soft Computing and Data Mining (SCDM)

作者： Adeleke, Abdullahi O. Samsudin, Noor A. Khalid, Shamsul Kamal A. Efendi, Riswan Crescent Univ Abeokuta Dept Comp Sci Abeokuta 2104 Ogun State Nigeria Univ Tun Hussein Onn Malaysia Fac Comp Sci & Informat Technol Batu Pahat 86400 Johor Malaysia UIN Sultan Syarif Kasim Riau Fac Sci & Technol Pekanbaru 28293 Indonesia

ISBN: (纸本)9783031669644;9783031669651

Classifier chain (CC) is one of the most important MLC methods often applied in multi- labeling tasks. However, the standard CC model fails to recognize distinct labels sequence order in the chain. In this work, a new method is proposed to optimize the chaining order in CC for improved classification performance. The proposed method is based on particle swarm optimization and genetic algorithm. Genetic operators are integrated with the standard PSO algorithm for finding the global best solution representing an optimized label sequence order in the chain. In the experiment, 6 datasets and 8 evaluation metrics are employed. The new method achieved the overall best results including 98.66% accuracy and 97.49% exact match among other metrics applied.

关键词： Multilabel Text Classification Heuristic Techniques Classifier Chain Particle Swarm Optimization Genetic Algorithm Binary Relevance

来源：评论

学校读者我要写书评

暂无评论

Precision and Recall Reject Curves 15th

Precision and Recall Reject Curves

引用

15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM)

作者： Fischer, Lydia Wollstadt, Patricia Honda Res Inst Europe Carl Legien Str 30 D-63073 Offenbach Germany

ISBN: (纸本)9783031671586;9783031671593

For some classification scenarios, it is desirable to use only those classification instances a trained model associates with a high certainty. To evaluate such high-certainty instances, previous work proposed accuracy-reject curves (ARCs). Reject curves evaluate and compare the performance of different certainty measures over a range of thresholds for accepting or rejecting classifications. However, in some scenarios, e. g., data with imbalanced class distributions, the accuracy may not be a suitable evaluation metric and measures like precision or recall may be preferable. We therefore propose reject curves that evaluate precision and recall, the recall-reject curve and the precision-reject curve. Using prototype-based classifiers, we first validate the proposed curves on artificial benchmark data against the ARC as a baseline. We then show on benchmarks and medical, real-world data with class imbalances that the proposed precision- and recall-curves yield more accurate insights into classifier performance than ARCs.

关键词： reject option precision and recall imbalanced data LVQ

来源：评论

学校读者我要写书评

暂无评论

Head Tail Open: Open Tailed Classification of Imbalanced Document Data 1

引用

Computing Conference

作者： Joshi, Chetan Segrera, Daniel Sorenson, Lawry Clement, Mark Morse, Bryan Jenkins, Porter Archibald, Taylor Ghorbani, M. J. Brigham Young Univ Provo UT 84602 USA Ancestry Com LLC 1300 West Traverse Pkwy Lehi UT 84043 USA

ISBN: (数字)9783031622816

ISBN: (纸本)9783031622830;9783031622816;9783031622809

Deep learning models for scanned document image classification and form understanding have made significant progress in the last few years. High accuracy can be achieved by a model with the help of copious amounts of labelled training data for closed-world classification. However, very little work has been done in the domain of fine-grained and head-tailed (class imbalance with some classes having high numbers of data points and some having a low number of data points) open-world classification for documents. Our proposed method achieves a better classification results than the baseline of the head-tail-novel/open dataset. Our techniques include separating the head-tail classes and transferring the knowledge from head data to the tail data. This transfer of knowledge also improves the capability of recognizing a novel category by 15% as compared to the baseline.

关键词： Open world classification Class imbalance Document classification

来源：评论

学校读者我要写书评

暂无评论

Improved Rough-Multiple Regression for Unemployment Rate Model in Indonesia 6th

Improved Rough-Multiple Regression for Unemployment Rate Mod...

引用

6th International Conference on Soft Computing and Data Mining (SCDM)

作者： Efendi, Riswan Rejab, Mazidah Mat Arbaiy, Nureize Yofi, Widya T. Widyawati, Sri R. Rahmi, Izzati Yozza, Hazmira Univ Pendidikan Sultan Idris Fac Sci & Math Dept Math Tanjung Malim 35900 Malaysia Univ Tun Hussein Onn Fac Comp Sci & Informat Technol Batu Pahat 86400 Malaysia Univ Islam Negeri Sultan Syarif Kasim Riau Fac Sci & Technol Dept Math Pekanbaru Indonesia Andalas Univ Fac Math & Nat Sci Dept Math & Data Sci Padang 25163 Indonesia

ISBN: (纸本)9783031669644;9783031669651

Many statistical approaches have been employed to model unemployment data such multiple regression and time series approaches. However, most researchers are not really concerned with inconsistent information in the data set before going to model building. While the accuracy of model prediction depends on data quality or data input. In this paper, we adopt rough set theory into multiple regression model for investigating the inconsistent sample and variables, respectively. This adoption is also considered to reduce a large number of independent variables. Some modifiable variables are related to unemployment rate, including labor force participation rate, gross domestic product, human development index, number of population and province in Indonesia. Interestingly, there are 34 provinces as dummy variables in representing of the geographical variable. The main objective is to measure and compare relationships between unemployment rate with these modifiable variables before (2019) and during (2020) in the pandemic era based on conventional multiple regression and proposed rough-multiple regression models. All information regarding variables above were gathered from Statistics Indonesia. The results showed the proposed rough-multiple regression able to improve the coefficient determination significantly from 67.6% to 85.9% for 2019 and 67.3% to 84.5% for 2020, respectively. While no significance different of this coefficient if derived with conventional multiple regression model. The proposed model better than conventional regression in explaining of the variation of the unemployment rate in Indonesia.

关键词： Rough sets multiple regression dummy variable unemployment rate geographical factor pandemic era

来源：评论

学校读者我要写书评

暂无评论

LoRaWAN Applied to WSN as Support for Sustainable Agriculture in Rural Environments. Case Study: Pedro Moncayo Canton, Pichincha Province 4th

LoRaWAN Applied to WSN as Support for Sustainable Agricultur...

引用

4th International Research and Innovation Congress - Smart Technologies and systems (CI3)

作者： Bonilla-Fonte, Evelyn Maya-Olalla, Edgar Pinto-Erazo, Alejandra Umaquinga-Criollo, Ana Jaramillo-Vinueza, Daniel Suarez-Zambrano, Luis Univ Tecn Norte Ave 17 Julio 5-21 & Gen Maria Cordoba Ibarra 100105 Ecuador

ISBN: (纸本)9783031634338;9783031634345

This work describes the development of a Long-Range Low-Power Wireless Sensor Network (LPWAN) implemented in a rural environment to monitor environmental variables that influence the growth of grass crops. The sensor node collects and transmits data on soil moisture, UV radiation, temperature, and rainfall in a cultivation area covering 1000 m(2). The data collected by the sensor node is sent to the central node or gateway via LoRa communication, where it is processed and transmitted to a cloud platform called ThingSpeak using the MQTT protocol. The data is displayed in the form of graphs. The analysis, design, implementation, and testing of the wireless link are carried out, and the data is sent to an IoT platform where it is collected, visualized, and analyzed in real-time using MQTT as the central communication protocol. Functional tests are performed, including path loss, receiver power, signal-to-noise ratio, receiver sensitivity, link budget, Fresnel zone, azimuth angle, and elevation angle. Finally, a stable scenario for data transmission and reception is determined, which can be applied to an optimization system for crop cultivation in rural agricultural areas.

关键词： LoRaWAN MQTT propagation loss scattering factor

来源：评论

学校读者我要写书评

暂无评论

Using Decision Trees to Analyze the Evolution of Covid in Diabetic Patients

Using Decision Trees to Analyze the Evolution of Covid in Di...

引用

Intelligent systems Conference

作者： de Freitas Guimaraes, Joao Rafael Ribeiro, Marcela Xavier Univ Fed Sao Carlos Dept Comp Rod Washington Luis Sao Carlos Brazil

ISBN: (纸本)9783031663352;9783031663369

Covid-19 has impacted human life in many ways since its worldwide spread. Science, therefore, was faced with a great challenge: to understand the virus that had been causing a staggering number of deaths around the world, as well as to find ways to treat patients and prevent the continued spread of the disease. In this context, it was soon realized that certain groups of people, such as diabetics, have a much higher risk of death when infected with the SARS-CoV-2, virus that causes the disease. Therefore, this paper presents an analysis of the behavior of COVID-19 disease in diabetic patients who have contracted the virus before taking any anti-covid vaccine. The analysis presented in this paper is achieved by employing a robust Decision Tree classifier model to a database containing information about diabetic patients, collected at the University Hospital (HU-UFSCar) of Sao Carlos, Brazil. Our study leverages machine learning techniques, specifically decision tree analysis and data mining, to unearth patterns and predictors of COVID-19's impact on diabetic individuals, thereby contributing valuable insights to the field of epidemiology and public health informatics. To assess its quality, the performance of the Decision Tree model is also compared with that of Random Forests. As a result of it, the generated predictive models are useful to the medical staff, both for decision-making about the most appropriate treatment for each individual, as well as for a better understanding of the disease and its evolution in diabetic patients.

关键词： Covid-19 Data mining Decision tree

来源：评论

学校读者我要写书评

暂无评论

Carbon Plastics for Structural Purposes Based on Aromatic Polyamide Phenylone C-2 10th

Carbon Plastics for Structural Purposes Based on Aromatic Po...

引用

International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Chihvintseva, Olga Rula, Iryna Boyko, Yulia Mirjanic, Dragoljub Dnipro State Agr & Econ Univ Sergiya Yefremova St 25 UA-49009 Dnipro Ukraine Acad Sci & Arts Republ Srpska Banja Luka 8000 Bosnia & Herceg

ISBN: (纸本)9783031662706;9783031662713

For the purpose of creating a plastic for structural purposes, the aromatic polyamide phenylone C-2was reinforcedwith chromium-containing carbon fiber in an amount of 17 wt. %. As a result of a set of studies of the structure, thermophysical, physico-mechanical and tribological properties, it was found that the reinforcement of aromatic polyamide makes it possible to obtain a material with improved performance characteristics. The engineered carbon fiber having high thermal resistance, thermal conductivity and wear resistance is characterized by a low linear expansion thermal coefficient and friction factor, is operable in a wide range of specific pressures and sliding speeds and can be used for products operating in friction units of movable joints of machines and machinery.

关键词： aromatic polyamide chromium-containing carbon fiber carbon plastics properties

来源：评论

学校读者我要写书评

暂无评论

Unveiling Clarity: A Survey on Haze Removal Techniques Using Deep Learning Approaches 5th

Unveiling Clarity: A Survey on Haze Removal Techniques Using...

引用

5th International Conference on Communication and Intelligent systems (ICCIS)

作者： Jenisha, C. Joice, C. Sheeba Saveetha Engn Coll Chennai Tamil Nadu India

ISBN: (纸本)9789819720811;9789819720828

Image dehazing remains a continuously ever-evolving subject of study in computer vision. The existence of airborne elements in the environment, such as haze, fog, and mist, can substantially degrade the quality of pictures. Furthermore, applying these dehazing approaches is extremely significant in various domains, including urban mobility, motion analysis, sight surveillance, visual data manipulation, machine perception, open-air visual capture, object identification, and entity recognition. Therefore, effective haze removal methods are essential for obtaining clear images. Consequently, numerous dehazing approaches have emerged over the last few decades. This review aims to provide invaluable insights for emerging researchers. It also meticulously explores the historical evolution and current state of dehazing techniques that harness the power of deep learning, offering a comprehensive survey for those delving into this dynamic and pivotal field. In a world where visuals are paramount, tackling the haze is no less than a quest for clarity and precision.

关键词： Deep learning Approach analysis Dehazing datasets Assessment criteria

来源：评论

学校读者我要写书评

暂无评论

AI and Inclusivity: Co-designing for Disability Empowerment

AI and Inclusivity: Co-designing for Disability Empowerment

引用

Intelligent systems Conference

作者： de Simone, Flavia Casillo, Martina Collina, Simona Univ Suor Orsola Benincasa Naples Italy

ISBN: (纸本)9783031664304;9783031664311

The paper investigates the profound influence of Artificial Intelligence (AI) across different fields, focusing in particular on its relevance for people with disabilities. In particular, it highlights the role of AI in reshaping everyday life, emphasizing the potential for improving independence and accessibility for people with disabilities. However, it also analyses challenges, such as biases towards AI systems and the need for inclusive co-design methodologies. Social integration through AI profoundly affects several aspects of everyday life, emphasizing the need to prioritize co-design approaches that involve people with disabilities from the outset. The importance for AI systems to be aligned with the real needs and experiences of disabled communities is highlighted. This requires a change in AI development methodologies, recognizing the complexity of disabilities and adapting different styles and skills of interaction. The perspectives and evidence analyzed in the paper lead to the conclusion that AI celebrates and supports the potential of every individual, adhering to the principle of 'nothing about us without us'.

关键词： Disability Inclusivity Artificial intelligence (AI) Co-design

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Calibration of Different Types of Incubators and Their Calibration Deviations 10th

Analysis of the Calibration of Different Types of Incubators...

引用

International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Sabanovic, Melisa Jarovic-Bajramovic, Narcisa Univ Zenica Inst Kemal Kapetanovic Zenica Travnicka Cesta Br 7 Zenica 72000 Bosnia & Herceg

ISBN: (纸本)9783031662676;9783031662683

Calibration of the incubator is carried out by comparing the calibrated instrument with standards, and from this comparison the deviation of the measuring instrument itself is determined, and then the measurement uncertainty is assessed with these results. When calibrating the incubator, errors (deviations) are determined. Such deviations are very important to determine due to the continued use of incubators for different purposes, such as for medical purposes, and all in order not to endanger human lives. In the incubator, its accuracy changes during use due to various influences (for example, humidity, temperature). Regular calibration at certain time intervals ensures accuracy, correctness, consistency and traceability. The equipment used for calibration, as well as additional equipment for monitoring, for example, ambient working conditions, has a significant impact on the accuracy of the calibration results. All the mentioned equipment should be regularly calibrated, in order to be sure of the validity of the obtained results. The mentioned equipment/standards must be calibrated and traceable according to a standard of a higher level of metrology ability.

关键词： incubators calibration deviations

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 << < 353 354 355 356 357 358 359 360 361 362 > >>

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：