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

20,098 篇 会议
103 篇 期刊文献
49 册 图书

馆藏范围

20,250 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

14,204 篇 工学
- 11,476 篇 计算机科学与技术...
- 8,852 篇 软件工程
- 3,230 篇 信息与通信工程
- 2,497 篇 生物工程
- 2,262 篇 控制科学与工程
- 1,797 篇 电气工程
- 1,487 篇 生物医学工程（可授...
- 1,045 篇 机械工程
- 1,028 篇 光学工程
- 1,027 篇 电子科学与技术（可...
- 797 篇 安全科学与工程
- 778 篇 动力工程及工程热...
- 761 篇 交通运输工程
- 681 篇 仪器科学与技术
- 660 篇 化学工程与技术
- 484 篇 材料科学与工程（可...
6,786 篇 理学
- 3,489 篇 数学
- 2,659 篇 生物学
- 1,498 篇 统计学（可授理学、...
- 1,366 篇 物理学
- 844 篇 系统科学
- 738 篇 化学
4,237 篇 管理学
- 2,539 篇 管理科学与工程(可...
- 2,023 篇 图书情报与档案管...
- 1,281 篇 工商管理
1,434 篇 医学
- 1,287 篇 临床医学
- 1,240 篇 基础医学(可授医学...
- 764 篇 药学(可授医学、理...
- 631 篇 公共卫生与预防医...
693 篇 教育学
- 667 篇 教育学
560 篇 法学
488 篇 农学
450 篇 经济学
43 篇 军事学
27 篇 文学
8 篇 艺术学
1 篇 哲学

主题

1,326 篇 deep learning
1,122 篇 machine learning
832 篇 accuracy
558 篇 data mining
540 篇 support vector m...
526 篇 feature extracti...
430 篇 training
410 篇 data models
406 篇 convolutional ne...
398 篇 predictive model...
379 篇 internet of thin...
363 篇 real-time system...
328 篇 computational mo...
324 篇 neural networks
314 篇 big data
233 篇 reinforcement le...
200 篇 forecasting
180 篇 object detection
175 篇 machine learning...
170 篇 artificial intel...

机构

227 篇 chitkara univers...
64 篇 centre of interd...
54 篇 maharishi school...
43 篇 maharishi school...
34 篇 college of techn...
31 篇 pune
28 篇 school of comput...
28 篇 chitkara univers...
28 篇 the islamic univ...
28 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 graphic era deem...
22 篇 school of inform...
22 篇 department of in...
22 篇 national univers...
20 篇 department of co...

作者

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

语言

17,813 篇 英文
2,418 篇 其他
101 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 20250 条记录，以下是4791-4800 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 Machine learning Model on Healthcare Based Chatbot and Appointment System 3

A Machine Learning Model on Healthcare Based Chatbot and App...

引用

3rd international conference on Artificial Intelligence and Signal Processing, AISP 2023

作者： Srivastava, Kushagra Pandey, Trilok Nath Roy, Debaraj Sahoo, Sambit Vellore Institute of Technology School of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350320749

This paper discusses the clinical chatbot which could examine the contamination and deliver essential insights regarding the contamination previous to counseling a specialist. To lower the healthcare charges and similarly increase openness to clinical facts the clinical chatbot is constructed. Certain chatbots pass approximately as clinical reference books, which facilitates the affected person to discover approximately their contamination and assists with running on their fitness. The person can accomplish the real gain of a chatbot simply while it is able to examine all forms of infections and deliver essential data. In later sections of the paper, a doctor appointment system software is also discussed that is integrated with the chatbot so that the specialist which is recommended by medical chatbot can be easily visited at the mutually agreed time of both specialist and patient. Such an appointment system has its own advantages like it reduces the waiting time of the patient, patients can choose the appointment time in keeping with their desire additionally to be had and booked slots are proven in powerful graphical person interface. © 2023 IEEE.

关键词： Health care

来源：评论

学校读者我要写书评

暂无评论

Disease Prediction Models Using Machine learning Algorithms 3

Disease Prediction Models Using Machine Learning Algorithms

引用

3rd international conference on Technological Advancements in Computational Sciences, ICTACS 2023

作者： Srinivas, Inumarthi V. Alzubaidi, Laith H. Singh, Rahul Sundaram, N. Kalyana Nirmala, D. Kj Somaiya Institute of Management Data Science and Technology Mumbai India College of Technical Engineering The Islamic University Najaf Iraq Ies College of Technology Department of Electrical & Electronics Engineering Bhopal India New Prince Shri Bhavani College of Engineering and Technology Department of Electrical & Electronics Engineering India Prince Shri Venkateshwara Padmavathy Engineering College Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350342338

Disease Prediction Models hold paramount importance in healthcare for enabling early intervention and improving patient outcomes. Machine learning Algorithms, with their predictive capabilities, offer promising avenues for enhancing disease prediction accuracy. In this research, we explore the application of various machine learning techniques for disease prediction. We begin by introducing the context of disease prediction and the significance of machine learning algorithms. Our study involves preprocessing data, selecting relevant features, and implementing diverse algorithms. Through rigorous experimentation and evaluation, we present comparative insights into algorithm performance. The outcomes underscore the potential of machine learning in revolutionizing disease diagnosis and prognosis. Ethical considerations and potential biases are discussed, highlighting the responsible integration of predictive models in healthcare practices. This research contributes to the growing body of knowledge, paving the way for future advancements in disease prediction and personalized medical interventions. © 2023 IEEE.

关键词： Biomedical informatics Disease prediction Early intervention Ethical considerations Feature selection Machine learning algorithms Model development Predictive modeling

来源：评论

学校读者我要写书评

暂无评论

Research on Size Detection Algorithm of Remote Transmission Cable Based on Instance Segmentation 3

Research on Size Detection Algorithm of Remote Transmission ...

引用

3rd international conference on Robotics, Automation and intelligent Control, ICRAIC 2023

作者： Fan, Jiahao Tian, Junwei Bu, Yuhan Zhang, Jie Zhang, Zhen Xi'an Technological University School of Mechanical and Electrical Engineering Xi'an China Xi 'An Jiaotong-Liverpool University School of Mathematical Physics Suzhou China Inner Mongolia North Heavy Industry Group Co. Ltd Equipment Research Institute Design Baotou China

ISBN: (纸本)9798350360813

The background of transmission cable in power construction site is complex. Traditional image detection and segmentation algorithms cannot effectively identify cable feature information, resulting in low image segmentation accuracy. Aiming at this problem, an improved Mask RCNN transmission cable size detection model is *** attention mechanism is added to ResNeXt as the new backbone network of Mask R-CNN to improve the feature extraction ability. The Boundary loss function is introduced to reduce the influence of background on the edge segmentation of transmission cable. The model is trained and tested by collecting transmission cable image data at the power construction transmission site. The results show that the PA (Pixel Accuracy), Re (Recall) and IoU (Intersection over Union) of the improved model are increased by 3.1 %, 3.9 % and 3.4 % respectively. The detection results of transmission cable diameter and spacing size meet the maximum allowable deviation range. The improved Mask RCNN model can improve the accuracy of transmission cable detection and instance segmentation and has great application prospects for long-distance size detection in complex power construction sites. © 2023 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Multi-objective Adaptive Routing in Identification Self-organized Network Based on Reinforcement learning 3

Multi-objective Adaptive Routing in Identification Self-orga...

引用

3rd IEEE international conference on Information Technology, Big data and Artificial Intelligence, ICIBA 2023

作者： Zhang, Jinfeng Wang, Hongchao Xiang, Yuhong Beijing Jiaotong University National Engineering Research Center of Advanced Network Technologies School of Electronic and Information Engineering Beijing China

ISBN: (纸本)9781665490788

The Identification self-organized Network is a newly developed private self-organized network that utilizes identification network technology and imposes stricter requirements on differentiated quality of service guarantees. However, due to the highly dynamic changes of the network and the limited use of network resources, routing design for self-organized network presents significant challenges. The existing wireless self-organized network routing protocols are difficult to meet the requirements of the new private identification self-organized network for differentiated service quality assurance, as well as the requirements for low delay and low energy consumption. This paper proposes a new multi-objective adaptive routing protocol based on reinforcement learning for identification self-organized networks. The proposed protocol provides differentiated quality of service guarantees with low delay and low energy consumption for different link states. It adapts to dynamic network topology and resource constraints by designing a differentiated reward function and adaptively adjusting Q-learning parameters. The simulation results show that this method achieves lower delay, higher packet delivery rate, and lower energy consumption while ensuring differentiated service quality, as compared to the active routing DSDV protocol and on-demand routing AODV protocol. © 2023 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of LAD, CNN and DNN for Detecting Intrusions 23rd

A Comparative Study of LAD, CNN and DNN for Detecting Intrus...

引用

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

作者： Chauhan, Sneha Mahmoud, Loreen Gangopadhyay, Sugata Gangopadhyay, Aditi Kar IIT Roorkee Dept Comp Sci & Engn Roorkee Uttar Pradesh India NIT Uttarakhand Dept Comp Sci & Engn Srinagar India IIT Roorkee Dept Math Roorkee Uttar Pradesh India

ISBN: (纸本)9783031217524;9783031217531

In recent years, with the growth of the Internet and network devices, a significant amount of information has been exposed to the attackers and intruders. Due to vulnerabilities in the system, the adversaries plan new ways of network intrusions. Many Intrusion Detection Systems (IDSs) are developed to protect the networks from malicious attacks and ensure reliability and availability within the organizations. IDSs built using various machine learning and data mining techniques are effective in detecting attacks. However, their performance decreases with an increase in the size of data. In this paper, we focus on developing an IDS model using Logical Analysis of data (LAD). It is a supervised learning technique where patterns are generated using partially defined Boolean functions (pdBf), which can detect attacks based on certain features of the data. We compare the performance of LAD model with Deep Neural Network (DNN) and Convolutional Neural Network (CNN) IDS models. UNSW-NB15 and CSE-CIC-IDS2018 datasets are used for training and testing our proposed model. The results show that the performance of LAD model is competitive to CNN, DNN and other existing IDS models based on accuracy, precision, recall and F1 score.

关键词： Logical analysis of data Intrusion detection system Deep neural network Convolutional neural network

来源：评论

学校读者我要写书评

暂无评论

Research on Key Technologies of intelligent Capture System for Personnel Position and Attitude 3

Research on Key Technologies of Intelligent Capture System f...

引用

3rd international conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2023

作者： Li, Hejia Yao, Zhao Li, Jiuchao Lu, Suo No. 1 Huayuan Road Changchun Jilin Changchun City China

ISBN: (纸本)9781643684581

This article addresses the issue of the lack of real-time monitoring of personnel's position and posture information technology in special environments. Relying on intelligent capture systems, key technologies such as Beidou positioning, inertial navigation, network communication, 3D modeling, virtual simulation, etc. are utilized to achieve real-time restoration of personnel information, human posture data, motion status, and trajectory on situational maps in various environments. The entire process is collected and stored for command and decision-making provide technical support for comprehensive analysis. © 2023 The Authors.

关键词： 3D modeling

来源：评论

学校读者我要写书评

暂无评论

Federated learning and Blockchain: A Cross-Domain Convergence 3

Federated Learning and Blockchain: A Cross-Domain Convergenc...

引用

3rd international conference on Technological Advancements in Computational Sciences, ICTACS 2023

作者： Sharma, Shaive Pandey, Adarsh Sharma, Vandana Mishra, Sushruta Alkhayyat, Ahmed Oriental Institute of Science and Technology Madhya Pradesh Bhopal India Delhi NCR India Kalinga Institute of Industrial Technology Deemed to Be University India College of Technical Engineering The Islamic University Najaf Iraq

ISBN: (纸本)9798350342338

Gaining significant attention within decentralized contexts, Federated learning (FL) has been positioned as a highly desirable method for machine learning. By enabling multiple entities to train a shared model cooperatively, data privacy and security are preserved by Federated learning. Harnessing inherent transparency and accountability of blockchain technology to trace and authenticate updates effectively in federated learning has transpired as an up-and-coming avenue to tackle data challenges related to confidentiality, protection, and reliability. This study examines the viability of federated learning and blockchain integration across multiple dimensions. The technological components of this integration., including incentive systems, consensus mechanisms, data validation, and smart contracts, are delved into. In the study, a novel proposed model for federated learning integrated with blockchain is designed and implemented. It is observed that the mean cypher size is 100 bytes for varying values of gradients. The average throughput recorded is 1.7 bytes per second, while the mean accuracy is 87.1% for 50 epochs. © 2023 IEEE.

关键词： blockchain consensus protocols Federated learning machine learning smart contracts

来源：评论

学校读者我要写书评

暂无评论

Power Extracting Beamspace MIMO-NOMA for mm-Wave Communication Uses an Array of Antennas 3

Power Extracting Beamspace MIMO-NOMA for mm-Wave Communicati...

引用

3rd IEEE international conference on intelligent Technologies, CONIT 2023

作者： Suprith, P.G. Ahmed, Mohammed Riyaz Reva University School of Electronics and Communication Engineering Bangalore India Reva University School of Multidisciplinary Studies Bangalore India

ISBN: (纸本)9798350338607

The millimeter wave combination of Radio-Frequency (RF) chains is essential for the digital signal transfer. With regard to RF chains, there is a restriction of one RF chain per user. The number of RF chains in a Multiple Input and Multiple Output (MIMO) broadcast should never be less than the number of users. In this proposed methodology we introduced the energy harvesting algorithm to find the available channel and enter into the reserve control channel. This energy collecting calculation can break the RF chain guideline that the number of clients can be more than the accessible chains. Here, Non-Orthogonal Multiple Access (NOMA) is used along with the MIMO system. NOMA is based on the dynamical power allocation scheme. Hence the combination of NOMA with the MIMO system will give more data rate and work on the unearthly effectiveness when contrasted with the ordinary combination of the MIMO system. The existing research work considers the parameters like gain factor, the quantity of clients, error rates, and RF chains rules are used to justify the energy harvesting algorithm. There has been a 30% improvement in the spectral energy efficiency (9.8 decibels) which is 63% greater than the existing work, the quantity of clients expanded from 52 to 256, and the quantity of clients of the RF chain rule has grown from 1 to 9. © 2023 IEEE.

关键词： Energy harvesting

来源：评论

学校读者我要写书评

暂无评论

Algorithm based Digital Twinning for different stages of Microelectronic Manufacturing Cycle 3

Algorithm based Digital Twinning for different stages of Mic...

引用

3rd international conference on Artificial Intelligence and Signal Processing, AISP 2023

作者： Kondamadugula, Sita AAM Alabama University Electrical and Computer Science Engineering NormalAL United States

ISBN: (纸本)9798350320749

The emerging globalization trend in the silicon manufacturing cycle has added vulnerabilities in production at different stages. Time-to-market requirements make the manufacturing process even more challenging. Digital twinning is one such recent method that can be used to model real things through input data sets. This technique mimics the real manufacturing process with the help of input data sets. The mentioned proposed framework introduces the use of algorithms with digital twinning for semiconductor manufacturing environments after taking all specified and interesting requirements and possible vulnerabilities in terms of feasible solutions and security liabilities into account, directly mimicking real design as it is through simulation upgrade digital twinning with algorithms at different stages of development and can ease learning and feedback to improve the performance of the manufacturing process. Usually, the silicon production cycle includes interpretation of ai artificial intelligence framework with formulations. These functions of objects are formed after expert analysis to enhance these models, algorithmic approaches can be used. This framework directs potential research possibilities in using DT (Digital Twins) for different stages of silicon manufacturing using Algorithms. © 2023 IEEE.

关键词： Evolutionary algorithms

来源：评论

学校读者我要写书评

暂无评论

The Evaluation of English Teaching Mode in the Context of Big data 3rd

The Evaluation of English Teaching Mode in the Context of Bi...

引用

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

作者： Li, Lu Shangluo Vocational and Technical College Shangluo726000 China

ISBN: (纸本)9783031631320

The English curriculum of basic education in China is undergoing major changes. Its guiding principle is to focus on the quality education of students’ all-round development. Its core is to emphasize people-oriented, focus on cultivating students’ practical ability and innovation spirit, and lay a foundation for lifelong learning and development of learners. The teaching principle emphasizes student centered, developing students’ comprehensive language application ability, respecting students’ personality and emotion, and actively using learning strategies to complete learning tasks. This puts forward high requirements for the selection and reform of English classroom teaching and English teaching methods. At the same time, higher requirements are put forward for English teaching evaluation. However, there are still many drawbacks in the current evaluation of English teaching. Therefore, we must first understand the connotation, main content and significance of English teaching evaluation. In addition, the current teaching methods are analyzed, compared and evaluated. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Big data

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 << < 476 477 478 479 480 481 482 483 484 485 > >>

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：