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

105,915 篇 会议
684 篇 期刊文献
554 册 图书
4 篇 学位论文

馆藏范围

107,156 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

60,454 篇 工学
- 49,571 篇 计算机科学与技术...
- 39,558 篇 软件工程
- 13,351 篇 信息与通信工程
- 11,480 篇 生物工程
- 8,434 篇 控制科学与工程
- 6,702 篇 电气工程
- 6,321 篇 生物医学工程（可授...
- 3,803 篇 光学工程
- 3,314 篇 机械工程
- 2,969 篇 电子科学与技术（可...
- 2,729 篇 网络空间安全
- 2,689 篇 安全科学与工程
- 2,503 篇 动力工程及工程热...
- 2,317 篇 化学工程与技术
- 2,171 篇 仪器科学与技术
25,849 篇 理学
- 12,106 篇 生物学
- 11,963 篇 数学
- 5,129 篇 物理学
- 4,858 篇 统计学（可授理学、...
- 3,515 篇 系统科学
- 2,324 篇 化学
17,336 篇 管理学
- 10,934 篇 管理科学与工程(可...
- 7,575 篇 图书情报与档案管...
- 5,114 篇 工商管理
13,503 篇 教育学
- 13,302 篇 教育学
6,377 篇 医学
- 5,441 篇 临床医学
- 5,191 篇 基础医学(可授医学...
- 3,408 篇 药学(可授医学、理...
- 2,855 篇 公共卫生与预防医...
3,345 篇 法学
- 2,897 篇 社会学
1,965 篇 文学
1,753 篇 农学
1,654 篇 经济学
267 篇 艺术学
105 篇 军事学
11 篇 历史学
10 篇 哲学

主题

7,093 篇 machine learning
6,838 篇 deep learning
5,239 篇 accuracy
5,005 篇 training
4,787 篇 computational mo...
4,149 篇 education
3,826 篇 students
3,516 篇 feature extracti...
3,006 篇 support vector m...
2,999 篇 machine learning...
2,985 篇 predictive model...
2,907 篇 convolutional ne...
2,378 篇 real-time system...
2,297 篇 data models
2,223 篇 neural networks
1,982 篇 cloud computing
1,805 篇 teaching
1,469 篇 reinforcement le...
1,412 篇 artificial intel...
1,379 篇 internet of thin...

机构

823 篇 chitkara univers...
145 篇 lovely professio...
109 篇 computer science...
98 篇 karnataka bangal...
92 篇 college of compu...
87 篇 school of comput...
80 篇 chitkara univers...
76 篇 school of comput...
72 篇 department of co...
68 篇 department of co...
64 篇 department of co...
58 篇 department of co...
57 篇 school of comput...
49 篇 department of co...
48 篇 chitkara univers...
43 篇 department of me...
42 篇 school of automa...
42 篇 vellore institut...
41 篇 chennai
37 篇 sathyabama insti...

作者

70 篇 shiva mehta
69 篇 anjali t.
53 篇 li yang
42 篇 sharma vikrant
40 篇 kukreja vinay
39 篇 wang lei
39 篇 rakesh kumar
37 篇 gill kanwarparta...
35 篇 sharma neha
34 篇 wang jing
32 篇 vinay kukreja
31 篇 lei wang
31 篇 zhang lei
30 篇 huang yueh-min
29 篇 liu bo
29 篇 yu wang
27 篇 li xin
26 篇 amandeep nagpal
25 篇 vinay gautam
25 篇 kumar ajay

语言

102,616 篇 英文
4,178 篇 其他
687 篇 中文
27 篇 西班牙文
17 篇 葡萄牙文
5 篇 阿拉伯文
3 篇 法文
3 篇 土耳其文
2 篇 俄文

检索条件"任意字段=International Conference on Teaching and Learning in Computing and Engineering"

共 107157 条记录，以下是4841-4850 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：

Gamification of Educational Content by Using Virtual Teacher in Online learning Environment 26th

Gamification of Educational Content by Using Virtual Teacher...

引用

26th international conference on Interactive Collaborative learning (ICL) - Towards a Hybrid, Flexible and Socially Engaged Higher Education / 52nd IGIP international conference on engineering Pedagogy

作者： Bondarenko, Tetiana Kovalenko, Denys Khotchenko, Iryna Zelenin, Hennadii Bozhko, Viktor Ukrainian Engn Pedag Acad Kharkiv Ukraine Kharkov Natl Univ Kharkiv Ukraine

ISBN: (纸本)9783031530210;9783031530227

A new impetus for the development of information technology in the educational process was given by the COVID-19 coronavirus pandemic and the quarantine imposed to prevent the spread of the disease. Due to the quarantine and the war in Ukraine, the educational process has moved to the online space, which has created conditions for remote learning using media content. Media education is designed to prepare students for life in the new information environment, to teach them to fully perceive different types of information, to understand and master the means of communication based on interactive forms of communication. It also improves the quality of information perception, students' engagement in interactive classes and the engagement of all participants in the learning process in the online environment. Thus, today's realities require new approaches and teaching tools that should be implemented by modern higher education institutions in the era of Education 4.0.

关键词： Digital Technologies Gamification Virtual Teacher Interactivity

来源：评论

学校读者我要写书评

暂无评论

Real Estate Price Prediction Model Analysis Using Machine learning 1

Real Estate Price Prediction Model Analysis Using Machine Le...

引用

1st international conference on computing, Sciences and Communications, ICCSC 2024

作者： Rajput, Kapil Bahadure, Nilesh Bhaskarrao Mishra, Amit Kumar Diwakar, Manoj Lamba, Sumita Graphic Era Hill University Dept. of Computer Science & Engineering Dehradun India Pune India Graphic Era Deemed to be University Department of CSE Dehradun India School of Computing DIT University India

ISBN: (纸本)9798350353648

The research illustrates use of ML algos in the field of housing price prediction. The models have been analyzed on real datasets downloaded from Kaggle created by Amitabha Chakraborty. We know that the source on the research of ML prediction in India are scarce, but we encounter conditions which pose need of efficient methodologies to solve this problem. This research gives a glance about the use of ML techniques on the dataset. After careful analysis of data processed and running tests in multiple ways, the results indicate the best suited algorithms for this work. © 2024 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Detection of Diabetic Retinopathy using the Application of Deep learning Model 15

Detection of Diabetic Retinopathy using the Application of D...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Rakshitha, D. Manasa, G.H. Senthil Velan, S. Gomathi, R.D. Cmr Institute of Technology Information Science and Engineering Bengaluru India Kongu Engineering College Information Science and Engineering Tamil Nadu India

ISBN: (纸本)9798350370249

Diabetic Retinopathy is a major cause of blindness, especially among working-age adults globally. Early detection is crucial to prevent vision loss. However, diagnosing DR through color fundus images is challenging because of the need for the experienced clinicians to identify subtle features and navigate complex grading systems. This paper proposes a novel approach for the diagnosis of the occurrence of diabetic retinopathy based on the retinal fundus images of the patients using Convolutional Neural Network (CNNs) and deep learning. Our approach utilizes data augmentation with CNN architecture to effectively classify the severity of Diabetic Retinopathy from the given retinal fundus images. CNN in the proposed model is trained on a high-end graphics processing unit (GPU) to identify intricate features like micro aneurysms, exudates and hemorrhages. The proposed model provides a more reliable and generalizable solution compared to existing software-based methods enabling early diagnosis of Diabetic Retinopathy, thereby potentially saving eyesight in many individuals. This System has given the potential to improve diagnosis of patient outcomes and revolutionize DR diagnosis, particularly in resource-limited settings. The results of applying this model have shown higher accuracy of around 90% in the identification of the stages of diabetic retinopathy for retinal fundus images of a given patient. © 2024 IEEE.

关键词： Convolutional neural network Deep learning Diabetic Retinopathy Fundus images

来源：评论

学校读者我要写书评

暂无评论

Anomalous Human Action Recognition with Deep learning Technique 18

Anomalous Human Action Recognition with Deep Learning Techni...

引用

18th INDIAcom;11th international conference on computing for Sustainable Global Development, INDIACom 2024

作者： Pallewar, Megha G. Pawar, Vijaya R. Gaikwad, Arun N. Zeal College of Engineering & Research Dept. of E&tc Engineering Pune India Savitribai Phule Pune University Dept. of E&tc Engineering Pune India

ISBN: (纸本)9789380544519

Detecting and comprehending human actions poses a significant challenge, especially in the context of enhancing human security. This area of study has garnered attention recently, and machine learning-based methods have emerged as the forefront approach for identifying unusual activities. In this research, the main focus is on spotting abnormal activities in videos, utilizing the UCF crime database as the primary source of data. The proposed system uses a range of pre-processing methods on the video data from this collection. The system employs deep learning techniques with Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) algorithms. The frames extracted from the videos are fed into CNN, which processes and extracts important features. The LSTM module is responsible for categorizing the activities portrayed in the input video. By combining the strengths of CNN and LSTM, system successfully identifies six distinct anomalous activities: Abuse, Arson, Assault, Burglary, Fight and Robbery. For training and evaluating the system, divide the dataset into an 80% training set, a 10% testing set, and a 10% validation set, including cross-validation steps. The resulting model demonstrates an impressive accuracy rate of approximately 97.8%. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Abnormal activity detection Anomaly Convolutional neural networks Human action detection Long short time memory

来源：评论

学校读者我要写书评

暂无评论

Cultural Heritage Network Courses in the Information Environment 6th

Cultural Heritage Network Courses in the Information Environ...

引用

6th international conference on Innovative computing, IC 2023

作者： Lu, Fang Xi’an Academy of Fine Arts Shaanxi Xi’an710065 China

ISBN: (纸本)9789819922864

With the continuous penetration and integration of the Internet in the field of education, the availability of educational resources has been continuously improved, which has provided strong support for strengthening the construction of educational system resources. In the stage of rapid development of Internet technology, the coverage of wireless networks has continued to increase, and a large number of new Internet products have been born, which has provided a good boost for the networked development of educational products, and thus derived the Internet + education network online learning model. Cultural heritage is an important accumulation and basic source of contemporary cultural development and innovation in our country. In order to inherit cultural heritage and develop cultural undertakings, this paper has launched a cultural heritage online course learning system based on a Web platform. Any group who wants to understand national culture can enter platform for learning. With the support of information technology such as Web server and the Internet, the online courses of cultural heritage are developed, which can track students’ learning records, and teachers can send students’ learning information through text messages. Through the evaluation of the cultural heritage online curriculum design, some deficiencies in the curriculum design can be improved, and the curriculum design content such as cultural heritage teaching resources and teaching objectives can be more in line with the actual teaching. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： learning systems

来源：评论

学校读者我要写书评

暂无评论

Block chain and Deep learning Based Secure Communication using SAE-LSTM &salp Swarm Optimizer for Multivariate Industrial IoT-oriented Infrastructure 15

Block chain and Deep Learning Based Secure Communication usi...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： MathalaiRaj, J. Sivaranjani, S. Rajalakshmi, J. Jayachandran, T. Maheswari, M. Kavin Kumar, K. Chandrasekaran, Gokul Nadar Saraswathi College of Engineering and Technology Department of Computer Science and Engineering Theni India Sethu Institute of Technology Department of Computer Science and Engineering Virudhnagar India Sethu Institute of Technology Department of Electronics and Communication Engineering Virudhunagar India Nandha Engineering College Department of Electronics and Communication Engineering Erode India Kongu Engineering College Department of Electronics and Communication Engineering Erode Perundurai638060 India Karpagam Institute of Technology Department of Electronics and Communication Engineering Coimbatore India

ISBN: (纸本)9798350370249

The rapid development of the Industrial Internet of Things (IIoT) imposes the needs for digitization of industrial procedures so as to enhance the efficiency of the network. Cyber-Physical System (CPS) has important role in applications of industries and infrastructure towards IoT. There are several challenges in IIoT environment such as centralization, scalability, privacy, security and communication latency. To overcome these issues, Deep learning based Sparse Autoencoder-Long Short-Term Memory (SAE-LSTM) with Salp swarm optimizer SSA based IoT-oriented infrastructure is used to detect the attacks. The major objective of this work is to propose a deep learning and blockchain based smart contract technique for a secure communication in smart city using Salp Swarm Optimizer algorithm for determining data privacy and security for the IIoT's application service. Blockchain & data aggregation with Proof-of-Work (PoW) generates a distributed network for communication phase of CPS. The protocols to forward the data in the network is established by Software-Defined Networking (SDN). Smart contract is employed to execute the transaction. The suggested technique is implemented and the performance is carried out by estimating Accuracy, Precision, Recall and F1 Score. © 2024 IEEE.

关键词： Blockchain and data aggregation with Proof-of-Work (PoW) Decision Sparse Autoencoder-Long Short-Term Memory (DSAE-LSTM) Industrial IoT Salp swarm optimizer SSA Smart contract

来源：评论

学校读者我要写书评

暂无评论

Next-Gen Parking Facilities: Deep learning for Face and License Plate based Access 18

Next-Gen Parking Facilities: Deep Learning for Face and Lice...

引用

18th INDIAcom;11th international conference on computing for Sustainable Global Development, INDIACom 2024

作者： Balasubramanian, K. Kannan, N. Sivakami, S. Senthil, S. Immaculate Rexi Jenifer, P. Murali, N. E. G. S. Pillay Engineering College Department of Computer Science and Engineering Nagapattinam India K. Ramakrishnan College of Technology Department of Computer Science and Engineering Trichy India School of Computing SASTRA Department of Computer Science and Engineering India

ISBN: (纸本)9789380544519

Parking congestion has become a major problem in today's metropolitan environments, resulting in lost time, higher emissions, and irritated drivers. There is a severe shortage of parking places in metropolitan areas because of the ever-growing number of the vehicles and the ever-growing urban population. This shortage has exacerbated traffic congestion and environmental pollution in addition to making it difficult and time-consuming to find a parking space. Conventional parking management systems are finding it harder and harder to handle these issues;they frequently depend on physical barriers or manual ticketing. Innovative approaches that incorporate automation and technology are becoming more prevalent to address this problem. Conventional parking management systems frequently depend on human intervention and physical infrastructure, which leads to inefficiencies and constrained scalability. In contrast, new opportunities for a more intelligent, effective, and user-friendly experience are made possible by the incorporation of deep learning methods and cutting-edge computer vision technology into parking management. This system makes use of two essential elements: automatically recognizing license plate numbers for vehicle identification and facial recognition technology for person identification. Through the smooth integration of these technologies, the system not only makes parking easier, but it also improves security and maximizes parking space usage. We will examine the essential elements, advantages, and possible effects of the Face and Number Plate-Based Smart Parking System in this survey. According to experimental findings, employing a face- and number-plate verification method can increase the efficiency of smart parking systems. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Deep learning Face recognition system Features based matching Slot allocation Smart parking system

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Solar Energy Generation and Radiation Prediction Using Machine learning

Evaluation of Solar Energy Generation and Radiation Predicti...

引用

2023 IEEE international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, ICIITCEE 2023

作者： Gupta, Jagrati Shrivastava, Gourav Raghuwanshi, Santosh S Sage University Computer Science Engineering M.P. Bhopal India Medi-Caps University Electrical Engineering Department MP Indore India

ISBN: (纸本)9781665462631

Solar photo voltaic (PV) energy system backbone of the renewable energy system. Energy system is depended on weather conditions such as temperature and radiation intensity. The role of machine learning (ML) for solar energy generation and radiation forecasting. This paper presents ML algorithm or methods review for prediction of solar energy generation and radiation. This paper also presents the state of art on different ML methods and parameters for forecasting solar energy production and radiation. © 2023 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Integration of Additional teaching Activities into the Study Process by Developing Students' Information Technology and Robotics Skills 21

Integration of Additional Teaching Activities into the Study...

引用

21st international conference on Information Technology Based Higher Education and Training, ITHET 2024

作者： Kairiukstis, Laimonas Emmanuel Mhlongo, Sphiwe Kauno Kolegija Hei Department of Industrial Engineering and Robotics Kaunas Lithuania University of Venda Department of Earth Sciences Thohoyandou South Africa

ISBN: (纸本)9798331516635

The shortage of technological field specialists in the labor market is observed in many countries worldwide. The lack of technical specialists raises great concerns;especially about the overall growth of the domestic product and the creation of new technologies that facilitate the human household. It is a fact that effective teaching and learning requires that a ratio of theoretical and practical classes be combined. However, the academic environment does not always motivate young people and does not allow them to acquire the necessary competencies for the labor market at the optimal time. Because of this, there is a pressing need to change the relationship between the student and the teacher, transforming the learning process into a more motivating study environment in time and space. In this article, the authors present their experience in facilitating internship programs, Blended Intensive Programs, and general teaching in the robotics discipline, which all require hands-on experience where students conduct research, develop analytical skills, and engage with the vibrant scientific community. This problem-based teaching is the method most consistent with the goals of modern ICI while robotics education requires a change in the roles of the student and the teacher. With new ways of teaching, students do not lose motivation to develop the skills of their profession, and these teaching methods ensure that within a short period, employees who meet the needs of the market are prepared. © 2024 IEEE.

关键词： Commerce

来源：评论

学校读者我要写书评

暂无评论

Virtual Reality-Based Traffic Sign Education for Early Childhood 8

Virtual Reality-Based Traffic Sign Education for Early Child...

引用

8th international conference on Informatics and computing, ICIC 2023

作者： Hidayat, Taufiqurrakhman Nur Purnomo, Fendi Aji Pratisto, Eko Harry Nusantara, Ksatria Tirta Yudhanto, Yudho Universitas Sebelas Maret Vocational School Department of Informatics Engineering Surakarta Indonesia

ISBN: (纸本)9798350342604

This study delves into the utilization of Virtual Reality (VR) technology for teaching traffic signs to young children, emphasizing a developmental interaction approach. It goes beyond previous VR education studies by integrating a steering wheel into the learning experience, aiming to understand children's engagement, user-friendliness, and satisfaction. Adopting the Game Design Life Cycle (GDLC) for development, the VR Traffic Land application targets children aged 4 to 7, a group prone to road accidents. End-user testing with BIMBA children yields varied evaluations, with 30% rating it 'Excellent,' 40% 'Good,' 18% 'Fair,' and 10% 'Poor' or 'Very Poor.' Assessments include user satisfaction, usability, reusage, audio clarity, and UI visibility. While satisfaction is predominant, identified areas for improvement ensure continuous enhancement. The study anticipates future research avenues, including health-related VR applications for children, exploring VR's impact on early learning and potential enhancements to cognitive and psychomotor skills. © 2023 IEEE.

关键词： Virtual reality

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 << < 481 482 483 484 485 486 487 488 489 490 > >>

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：