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

20,538 篇 会议
103 篇 期刊文献
50 册 图书

馆藏范围

20,691 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

14,606 篇 工学
- 11,844 篇 计算机科学与技术...
- 8,997 篇 软件工程
- 3,436 篇 信息与通信工程
- 2,554 篇 控制科学与工程
- 2,498 篇 生物工程
- 1,917 篇 电气工程
- 1,497 篇 生物医学工程（可授...
- 1,082 篇 电子科学与技术（可...
- 1,058 篇 机械工程
- 1,042 篇 光学工程
- 811 篇 动力工程及工程热...
- 805 篇 安全科学与工程
- 768 篇 交通运输工程
- 698 篇 仪器科学与技术
- 666 篇 化学工程与技术
6,906 篇 理学
- 3,598 篇 数学
- 2,662 篇 生物学
- 1,519 篇 统计学（可授理学、...
- 1,438 篇 物理学
- 844 篇 系统科学
- 820 篇 化学
4,398 篇 管理学
- 2,688 篇 管理科学与工程(可...
- 2,038 篇 图书情报与档案管...
- 1,296 篇 工商管理
1,625 篇 医学
- 1,366 篇 临床医学
- 1,252 篇 基础医学(可授医学...
- 764 篇 药学(可授医学、理...
- 755 篇 公共卫生与预防医...
716 篇 教育学
- 690 篇 教育学
686 篇 法学
- 591 篇 社会学
495 篇 农学
455 篇 经济学
128 篇 文学
43 篇 军事学
8 篇 艺术学
1 篇 哲学

主题

1,408 篇 deep learning
1,196 篇 machine learning
895 篇 accuracy
556 篇 data mining
551 篇 support vector m...
551 篇 feature extracti...
443 篇 training
441 篇 convolutional ne...
433 篇 data models
414 篇 predictive model...
406 篇 real-time system...
402 篇 internet of thin...
335 篇 neural networks
327 篇 computational mo...
315 篇 big data
242 篇 reinforcement le...
200 篇 forecasting
183 篇 object detection
181 篇 artificial intel...
178 篇 machine learning...

机构

254 篇 chitkara univers...
64 篇 centre of interd...
52 篇 maharishi school...
43 篇 maharishi school...
34 篇 college of techn...
31 篇 pune
29 篇 chitkara univers...
28 篇 school of comput...
27 篇 the islamic univ...
27 篇 school of comput...
26 篇 karnataka bangal...
24 篇 computer science...
24 篇 computer science...
24 篇 uttaranchal inst...
23 篇 department of ar...
22 篇 chitkara univers...
22 篇 graphic era deem...
22 篇 school of inform...
22 篇 department of in...
22 篇 national univers...

作者

22 篇 wang lei
22 篇 gill kanwarparta...
22 篇 kukreja vinay
20 篇 shiva mehta
19 篇 wang jing
19 篇 liu yang
16 篇 zhang tao
16 篇 yang yang
16 篇 singh jagendra
15 篇 malik bader alaz...
15 篇 joshi kapil
13 篇 zhang lei
13 篇 li yang
12 篇 meena belwal
12 篇 novais paulo
12 篇 li li
12 篇 liu xin
11 篇 babu tina
11 篇 wang jian
11 篇 rupesh gupta

语言

14,521 篇 英文
6,150 篇 其他
146 篇 中文
3 篇 土耳其文
2 篇 西班牙文
1 篇 俄文

检索条件"任意字段=3rd International Conference on Intelligent Data Engineering and Automated Learning"

共 20691 条记录，以下是861-870 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：

Fault Analysis in Power Transmission Systems Using Machine learning 3

Fault Analysis in Power Transmission Systems Using Machine L...

引用

3rd IEEE international conference on Power Electronics, intelligent Control and Energy Systems, ICPEICES 2024

作者： Garg, Manik Raj, Pranav Piyush Prakash, Prem Delhi Technological University Electrical Engineering Delhi India

ISBN: (纸本)9798350387193

With the increasing complexity and decentralization of power generation and consumption, the demand for robust fault detection and classification systems in power distri-bution networks has become paramount. This project addresses this challenge by employing machine learning techniques for the detection and classification of faults in the power distribution network. For fault detection, three models, namely Decision Tree, Sup-port Vector Machine (SVM), and Random Forest, are utilized to analyze electronic metrics and data. These models prove effective in identifying and localizing faults within the network, providing a foundation for proactive maintenance. In the classification phase, Decision Tree and SVM models are employed to further categorize detected faults. The integration of these models enhances the system's ability to not only detect faults but also classify them. The results indicate that the Random Forest model demonstrates exceptionally high accuracy in fault detection, outperforming other models. In the classification phase, the Decision Tree model exhibits superior performance, providing precise categorization of detected faults. This research delves into innovative methods for predicting network faults, with a particular focus on overhead lines. The proposed approach, backed by the success of the Random Forest and Decision Tree models, demonstrates high accuracy rates using various classifiers, contributing to the development of a comprehensive fault management system. © 2024 IEEE.

关键词： Power distribution faults

来源：评论

学校读者我要写书评

暂无评论

Testing and Research of Human Factor engineering Optimization Productivity in intelligent Manufacturing System 3

Testing and Research of Human Factor Engineering Optimizatio...

引用

3rd international conference on data Analytics, Computing and Artificial Intelligence, ICDACAI 2024

作者： Shuai, Lihua School of Management Guangzhou College of Technology and Business Guangzhou China

ISBN: (纸本)9798331519032

intelligent manufacturing realizes the optimization of product input and output by organically integrating various equipment and virtual data network. An intelligent production system based on human factor engineering technology is put forward to solve the problem that the relationship between each process is not close at present. The system is composed of four parts: production, testing, assembly and storage, and the production process of products is realized through online operation between each part. The system uses a driver program completed by the input terminal, which is controlled by PLC timing and logic. The threads of multiple job stations are sorted with minimum completion time and minimum machine load as optimization objectives. Control the system according to the operation plan issued by the CNC system. The mechanism of human-computer interaction to shorten the human-computer interaction gap is explained from three aspects: behavior, intention and cognition. Experiments show that this design has the advantages of small storage space and small demand for computer resources. It can meet the production process requirements. © 2024 IEEE.

关键词： Smart manufacturing

来源：评论

学校读者我要写书评

暂无评论

Design and Simulation of Automobile Maintenance Detection System Based on Machine learning Model 3

Design and Simulation of Automobile Maintenance Detection Sy...

引用

3rd international conference on Artificial Intelligence and Autonomous Robot Systems, AIARS 2024

作者： Han, Yangfan Wang, Weiyin Harbin Huade University Harbin Heilongjiang150025 China

ISBN: (纸本)9798350376173

With the rapid development of automobile industry, the demand for automobile maintenance testing technology is increasing. Traditional experience-based fault diagnosis methods often show limitations in the face of complex automobile systems and a large number of sensor data. Therefore, this study proposes an automobile maintenance detection system that integrates machine learning model, aiming at improving the accuracy and efficiency of fault detection in automobile maintenance process. The system uses the sensor data of automobile components as input, and fuses them through machine learning model to realize automatic identification and classification of different fault types. In order to verify the performance of the system, a large number of experiments are carried out in the simulation environment, and the results show that the designed system has good classification effect and generalization ability under different fault types and normal conditions. The results of this study are expected to promote the application of intelligent technology in the field of automobile maintenance and provide strong support for the actual automobile maintenance work. © 2024 IEEE.

关键词： Automotive industry

来源：评论

学校读者我要写书评

暂无评论

Machine learning Approaches for Efficient Traffic Flow in Smart Cities 3

Machine Learning Approaches for Efficient Traffic Flow in Sm...

引用

3rd Odisha international conference on Electrical Power engineering, Communication and Computing Technology, ODICON 2024

作者： Kulkarni, Aniket Anitha, P. Valluri, John Yesudas Sunena Rose, M.V. Hemavathi, U. Hussein, Omar M. Software Qa Manager Drata Inc San DiegoCA United States Kalasalingam Academy of Research and Education Department of Computer Applications Tamil Nadu Srivilliputhur India Faculty of Management Studies Bengaluru India Department of Computer Science and Engineering Bengaluru India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Cse Avadi Chennai India Al-Farahidi University Medical Technical College Medical Instrumentation Engineering Baghdad Iraq

ISBN: (纸本)9798350354379

These days, a lot of towns struggle with traffic jams during peak hours, which increment contamination, commotion, and feelings of anxiety for the general population. Because neural networks (NN) and machine learning (ML) techniques can handle large numbers of parameters in massive amounts of data and dynamic behaviour over time, they are replacing analytical and statistical methods in the solving of real-world problems. This research presents a convergence of machine-learning (ML) and deep-learning (DL) calculations for traffic stream prediction;this paves the way for flexible traffic signals, which can be implemented through the use of a calculation that adjusts the timing in accordance with the anticipated traffic flow or by controlling traffic signals to some degree. The proposed ML and DL models are constructed, validated, and tested using two publicly accessible datasets. The first depicts the total number of cars subjected to checks using various sensors at six junctions over the course of 56 days. In this research, ML and DL models are created using data from four of the six junctions. The excellent performance metrics obtained by all ML and DL computations suggest that their application to intelligent traffic light management is feasible. © 2024 IEEE.

关键词： Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

Construction and Optimization of English Machine Translation Model Based on Hybrid intelligent Algorithm 3rd

Construction and Optimization of English Machine Translation...

引用

3rd EAI international conference on Application of Big data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2023

作者： He, Lirong Xie, Chun Deng, Yuan College of International Studies and Education Tongren University Guizhou Tongren445300 China GuilinUniversityofTechnology Guangxi Guilin541004 China

ISBN: (纸本)9783031631351

English grammar is a prerequisite for mastering English, and its complexity and learning difficulty perplex most English learners. Most English learners will encounter all kinds of difficulties in the stage of English learning, so English grammar learning has become a module for English learners to invest energy in learning. The goal correction is to automatically correct grammar errors in the text through computer programs, that is, to identify and correct grammar errors based on the analysis of the context of the input text, so as to ensure the accuracy of the output text and not affect its own semantics. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Error correction

来源：评论

学校读者我要写书评

暂无评论

Integrated Hydroponics Automation System Utilizing IoT for Enhanced Plant Growth 3

Integrated Hydroponics Automation System Utilizing IoT for E...

引用

3rd international conference on intelligent data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Nilahni, N. Sivasakthi, P. Kavitha, P. Madhumathi, S.M. Sakthi Lakshmi Priya, C. Saranyavaishalini, V.G. Department of Computer Science and Engineering PSR Engineering College Sivakasi India

ISBN: (纸本)9798331527549

Growing plants in nutrition solution with any growing medium or roots dipped in distilled water is Hydroponics. Hydroponics, the practice of growing plants in a nutrient-rich solution without soil, offers significant advantages such as higher yield, reduced water usage, and efficient resource management compared to traditional farming. However, existing hydroponic systems often require separate monitoring and control platforms for different setups, such as Wick and Drip systems, increasing complexity and cost. This paper proposes a Combined Hydroponics Automation System utilizing IoT, integrating both Wick and Drip systems into a single, unified platform. The system employs Nodemcu ESP8266 to monitor key parameters such as pH, humidity, moisture, and water levels, with data transmitted to a cloud platform for real-time access and control. The unified approach reduces development and operational costs while simplifying the monitoring process. The outcome demonstrates improved efficiency in plant management, with streamlined data visualization, remote control, and optimized resource allocation, making it a cost-effective solution for urban and resource-limited farming environments. © 2025 IEEE.

关键词： Hydroponics

来源：评论

学校读者我要写书评

暂无评论

Advancements in Sensor Technology and Computer Vision for Enhanced Road Safety and Anomaly Detection using Machine learning Approach 3

Advancements in Sensor Technology and Computer Vision for En...

引用

3rd international conference on Ubiquitous Computing and intelligent Information Systems, ICUIS 2023

作者： Jesi, V. Elizabeth Jenitha Mary, L. Saranya, S. Poonguzhali, C. Mohanaprakash, T.A. Saranya, K. School of Computing College of Engineeering Srm Institute of Science and Technology Department of Networking and Communications Kattankulatur Chennai India Dhanalakshmi College of Engineering Department of Cse Chennai India Rajalakshmi Institute of Technology Department of Aids Chennai India S A Engineering College Department of Ece Chennai India Panimalar Engineeering College Department of Cse Chennai India Panimalar Engineeering College Department of Aids Chennai India

ISBN: (纸本)9798350306989

Development of sensor technology has significantly increased recently. To combat the high rates of fatalities and expenditures connected with injuries caused by traffic, sensor technology and computer vision have achieved considerable advancements. To improve road safety, an intelligent system has been created with the aim of spotting anomalies in the road and providing driving support. Utilizing a combination of accelerometer sensors, vibration motion sensors, gyroscopic sensors, and GPS technology, this system is smoothly integrated into cars. A comprehensive and evidence-based systematic review focused on Computer Vision applications for automated Road Defect and Anomaly Detection is still lacking, despite the fact that prior studies and applications of computer vision have concentrated on particular aspects of road hazards. The system can identify several types of road irregularities based on the current location of the vehicle by using machine learning techniques to examine sensor data. Additionally, it gathers and compares data from other vehicles at the same GPS locations to confirm the presence of road problems like speed bumps or potholes. The GPS application provides access to a cloud-based repository where all the acquired data is safely kept. The technology notifies drivers ahead of time, advising them to slow down as they approach GPS spots that have previously been identified as having road abnormalities. The results of this poll could provide the scientific community with insightful information that would help improve traffic conditions and safety in general. experience. © 2023 IEEE.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Sentiment Analysis Using Hadoop Framework and Machine learning Approach 3

Sentiment Analysis Using Hadoop Framework and Machine Learni...

引用

3rd international conference on Ubiquitous Computing and intelligent Information Systems, ICUIS 2023

作者： Patidar, Ritu Patel, Sachin Sage University Department of Computer Science Engineering Indore India

ISBN: (纸本)9798350306989

Opinion mining is the study of user opinions as revealed by their text messages. It comprises categorizing user attitudes into several polarities, such as positive, negative,or neutral. For the analysis, a whole other framework is required, one that can process the enormous volume of data quickly and accurately while maintaining a high levelof unpredictability. More than half of the data produced by e-commerce platforms like Amazon, Flipkart, and others come in the form of text, amounting to 20ZB. These text messages can be carefully analyzed and studied to gaina clear understanding of the thoughts and opinions regarding every part of the business. Over the past ten years, analyzing this enormous amount of data and forecasting user behavior have been the major challenges. To analyze the attitudes, we combine the Hadoop infrastructure with the machine learning technique in this study. With the proposed architecture we will be evaluated certain metricsparameters. It is observed that the random forest achieves better accuracy 96 percent as compared to other machine learning algorithms, hence it works efficiently in Big data environments and achieves maximum accurate results. © 2023 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Understanding Cybercrime: A Study of Malware Analysis, Phishing Attacks, and Sentiment Trends 3

Understanding Cybercrime: A Study of Malware Analysis, Phish...

引用

3rd international conference on intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Kumaran, U. Sreeraag, G. Narendran, Advik Meena, V.P. Gupta, Sushil Kumar Appaji, Abhishek Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Bangalore India National Institute of Technology Department of Electrical Engineering Jharkhand Jamshedpur831014 India Bms College of Engineering Department of Medical Electronics Engineering Bangalore India

ISBN: (纸本)9798331515911

With the rapid evolution of computer systems and technologies, individuals face an increasing threat of cybercrime. This research explores the changing landscape of cybercrime by focusing on three key areas: malware analysis, phishing attack analysis, and sentiment analysis. The study aims to identify malware strategies for evading detection and analyze the prevalence of spyware by examining diverse malware samples. Additionally, trend analysis highlights the rising complexity and frequency of phishing attacks, with a notable shift toward targeting reputable platforms. Sentiment analysis of media headlines surrounding data breaches uncovers a paradox: while concerns about cybersecurity remain, there is a growing confidence in the ability to manage cybersecurity crises. These findings provide insights into emerging threats and evolving public perceptions, offering a comprehensive understanding of the current cyber- crime landscape. © 2025 IEEE.

关键词： Phishing

来源：评论

学校读者我要写书评

暂无评论

Research on Storage and Query Optimization Algorithm of Distributed database for Big data 3

Research on Storage and Query Optimization Algorithm of Dist...

引用

3rd international conference on data Analytics, Computing and Artificial Intelligence, ICDACAI 2024

作者： Liu, Lixia College of Information Engineering Engineering University of PAP Shaanxi Xi'an710086 China

ISBN: (数字)9798331519032

ISBN: (纸本)9798331519032

This paper deeply discusses the storage and query optimization algorithm of distributed database for big data. Firstly, the importance of distributed database storage optimization is analyzed, and key technologies such as column storage technology, data backup and consistent hash algorithm are introduced. Then, the distributed database query optimization algorithm is mainly studied, and an innovative algorithm combining semi-join, direct join and hash partition equijoin strategy is proposed, and the query plan is dynamically adjusted by introducing an intelligent prediction model to maximize the query performance. The experimental results show that the algorithm has significantly improved the storage efficiency and query performance, which proves its effectiveness and application prospect in the big data environment. Future research will focus on further improving the adaptability and generalization ability of the algorithm to cope with more complex data scenarios and query requirements. © 2024 IEEE.

关键词： Structured Query Language

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 << < 83 84 85 86 87 88 89 90 91 92 > >>

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：