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

1,006 篇 会议
10 篇 期刊文献
9 册 图书

馆藏范围

1,025 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

456 篇 工学
- 378 篇 计算机科学与技术...
- 333 篇 软件工程
- 145 篇 信息与通信工程
- 116 篇 生物工程
- 69 篇 生物医学工程（可授...
- 58 篇 控制科学与工程
- 52 篇 电气工程
- 50 篇 光学工程
- 39 篇 电子科学与技术（可...
- 26 篇 化学工程与技术
- 26 篇 安全科学与工程
- 25 篇 交通运输工程
- 24 篇 仪器科学与技术
- 23 篇 机械工程
- 21 篇 动力工程及工程热...
285 篇 理学
- 125 篇 数学
- 122 篇 生物学
- 71 篇 物理学
- 45 篇 统计学（可授理学、...
- 41 篇 系统科学
- 35 篇 化学
143 篇 管理学
- 81 篇 图书情报与档案管...
- 73 篇 管理科学与工程(可...
- 43 篇 工商管理
51 篇 医学
- 50 篇 临床医学
- 47 篇 基础医学(可授医学...
- 41 篇 药学(可授医学、理...
- 15 篇 公共卫生与预防医...
36 篇 法学
- 26 篇 社会学
20 篇 经济学
- 20 篇 应用经济学
14 篇 教育学
10 篇 农学
1 篇 哲学
1 篇 文学
1 篇 历史学
1 篇 军事学
1 篇 艺术学

主题

43 篇 deep learning
32 篇 machine learning...
29 篇 training
25 篇 support vector m...
24 篇 computational mo...
24 篇 machine learning
20 篇 internet of thin...
19 篇 predictive model...
18 篇 feature extracti...
18 篇 computer vision
16 篇 convolutional ne...
15 篇 computer archite...
14 篇 neural networks
13 篇 object detection
13 篇 education
12 篇 social networkin...
12 篇 forecasting
11 篇 generative adver...
11 篇 big data
11 篇 visualization

机构

9 篇 université de st...
9 篇 heilongjiang int...
9 篇 international ce...
8 篇 università di ca...
8 篇 infn sezione di ...
8 篇 henan internatio...
8 篇 north-west unive...
8 篇 infn sezione di ...
8 篇 institut univers...
8 篇 national centre ...
8 篇 tno technical sc...
8 篇 nikhef national ...
8 篇 university würzb...
8 篇 university of jo...
8 篇 university moham...
8 篇 ncsr demokritos ...
8 篇 infn sezione di ...
8 篇 infn sezione di ...
8 篇 infn sezione di ...
8 篇 university of am...

作者

9 篇 ferrara g.
9 篇 ardid m.
9 篇 kalekin o.
9 篇 huang f.
9 篇 díaz a.f.
9 篇 boumaaza j.
9 篇 coleiro a.
9 篇 enzenhöfer a.
9 篇 celli s.
9 篇 dornic d.
9 篇 carretero v.
9 篇 ardid s.
9 篇 bendahman m.
9 篇 brunner j.
9 篇 di palma i.
9 篇 coniglione r.
9 篇 eberl t.
9 篇 bouta m.
9 篇 van haren h.
9 篇 chabab m.

语言

928 篇 英文
97 篇 其他
24 篇 中文

检索条件"任意字段=2022 International Conference on Algorithms, Network and Computer Technology, ICANCT 2022"

共 1025 条记录，以下是371-380 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：

SADG-Net: Sparse Adaptive Dynamic Guidance network for Depth Completion

SADG-Net: Sparse Adaptive Dynamic Guidance Network for Depth...

引用

2022 IEEE international conference on Multimedia and Expo, ICME 2022

作者： Wu, Hao Zhang, Guodong Feng, Chenchen Yang, Sifan Yang, Wenming Wang, Guijin Tsinghua University Department of Electronic Engineering China Shenzhen International Graduate School Tsinghua University Dept. of E.E. China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

Existing depth completion methods with standard CNN and fixed guidance information often produce invalid value diffusion and mismatch between the guidance and the depth. To address this issue, we propose a SADG-Net for depth completion. Specifically, a sparse adaptive module is designed to infer the initial dense depth map and its confidence, as well as the affinity between pixels. Then we develop a dynamic guidance spatial propagation network to refine the initial depth map and dynamically update the guidance information with the inferred depth. In contrast to previous algorithms, our method effectively optimizes the processing for sparse depth and significantly alleviates the error accumulation issues in spatial propagation. Extensive experiments demonstrate that our model improves upon the state-of-the-art performance on NYUv2 and BIDCD datasets. © 2022 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

IoT network Intrusion Detection: A Brief Review

IoT Network Intrusion Detection: A Brief Review

引用

2022 international conference on Smart Information Systems and Technologies, SIST 2022

作者： Omarov, Bauyrzhan Asqar, Marzhan Sadybekov, Ruslan Koishiyeva, Tursynay Bazarbayeva, Aizhan Uxikbayev, Yerkebulan Al-Farabi Kazakh National University Department Of Inforamtion Systems Almaty Kazakhstan Khoja Akhmet Yassawi International Kazakh-Turkish University Department Of Computer Engineering Turkestan Kazakhstan

ISBN: (数字)9781665467902

ISBN: (纸本)9781665467902

The technology used to detect network breaches has a big impact on the efficacy of an information security system in a computer network. Modern ways to detecting network intrusions are described in this study, as well as prospective future prospects for their improvement. Intrusion detection systems are classified, as well as the technologies that underpin them. The study focuses on the most advanced research topics in this discipline. The absence of computational models for detection and formal justification of attacks is discussed. In addition, we will look at the network intrusion detection system taxonomy, prior research, as well as open challenges and difficulties in the subject under investigation in this review. © 2022 IEEE.

关键词： Taxonomies

来源：评论

学校读者我要写书评

暂无评论

Optimization analysis of 5G+ frequency allocation problem and simulation experiments of some existing optimization algorithms 4

Optimization analysis of 5G+ frequency allocation problem an...

引用

4th IEEE international conference on Civil Aviation Safety and Information technology, ICCASIT 2022

作者： Zhang, Yitao Major in Telecommunications Engineering with Management International School Beijing University of Posts and Telecommunications Beijing100000 China

ISBN: (数字)9781665467667

ISBN: (纸本)9781665467667

Since its birth, mobile communication has developed rapidly and has become the basic information network connecting human society. Now, the future oriented fifth generation mobile communication has become a global research and development hotspot. The fifth generation mobile communication technology is the latest generation of cellular mobile communication technology, which is also an extension after 4G (LTE-A, WiMAX), 3G (UMTS, LTE) and 2G (GSM) systems. Its performance goal is high data rate, reduce latency, save energy, reduce cost, improve system capacity and large-scale equipment connection. With the further development of intelligent communication, cloud computing, big data and other technologies are also emerging day by day. These technologies not only make the transmission of data information more convenient, but also meet the requirements of information data conversion and storage, and provide greater convenience for the expansion of communication network services.[1] The main content of this paper is optimization analysis of 5G+ frequency allocation problem and simulation experiments of some existing optimization algorithms. Integer frequency reuse (IFR) is a network structure that can optimize frequency allocation, and the intelligent optimization algorithms of simultaneous water filling (SWF) and transmit interference temperature limit (tx-ITL) based on integer frequency reuse (IFR) can greatly improve the user capacity and optimize frequency allocation. © 2022 IEEE.

关键词： Frequency allocation

来源：评论

学校读者我要写书评

暂无评论

DeviceLLM: Synergistic Recognition of Device Attributes in Cyberspace Based on Large Language Models 24

DeviceLLM: Synergistic Recognition of Device Attributes in C...

引用

4th international conference on Artificial Intelligence, Big Data and algorithms, CAIBDA 2024

作者： Zhang, Hongtu Li, Wenhao Hu, Jiahao Zuo, Fang School of Software Henan University Kaifeng Henan China Henan International Joint Laboratory of Intelligent Network Theory and Key Technology Henan University Kaifeng Henan China

ISBN: (纸本)9798400710247

In recent years, large language models (LLMs) have undergone rapid development, demonstrating significant potential across various domains. As Internet technology advances, Internet-connected devices find increasingly meaningful applications, including device type and owner identification, necessitating improved performance. This paper aims to explore the utilization of LLMs in recognizing cyberspace device attributes through fine-tuning with instruction templates. These templates enable learning from device attribute data and uncovering potential associations, facilitating efficient and accurate recognition of cyberspace device attributes. Experimentation confirms the method's effectiveness and performance, achieving high-precision recognition of device attributes in real network environments. Results show a notable 75.77% accuracy rate in device type identification and an impressive 96.90% accuracy rate in device owner identification. This research introduces novel ideas and methods for utilizing LLMs in network security, holding both theoretical and practical significance. © 2024 Copyright held by the owner/author(s).

关键词： Large Language Models

来源：评论

学校读者我要写书评

暂无评论

Sentiment Analysis on Reviews of E-commerce Sites Using Machine Learning algorithms

Sentiment Analysis on Reviews of E-commerce Sites Using Mach...

引用

2022 international conference on Innovations in Science, Engineering and technology, ICISET 2022

作者： Hossain, Md. Jahed Joy, Dabasish Das Das, Sowmitra Mustafa, Rashed Port City International University Department of Computer Science and Engineering Chattogram Bangladesh University of Chittagong Department of Computer Science and Engineering Chattogram Bangladesh

ISBN: (纸本)9781665483971

Customers of e-commerce platforms exchange their thoughts with such kinds of languages. In the age of the present competitive business world, sentiment analysis is widely used in the e-commerce industry to improve efficiency and better understand to make business decisions. Earlier research on sentiment analysis was in English but there is no such significant work in Bangla language and Romanized Bangla language reviews. Therefore, we have developed a machine learning model where reviews on three different languages (Bangla, English, and Romanized Bangla) are used and applied six machine learning algorithms. We have demonstrated a comparative analysis with existing work and have discussed the detailed accuracy, precision, recall, F1 scores, and ROC area. We have prepared three datasets and labeled all the reviews data as Negative, Positive, Neutral, Slightly Negative, and Slightly Positive sentiment. To perform the analysis, the preprocessed datasets were trained using machine learning techniques, and the model performances is evaluated. For the Bangla dataset, Support Vector Machine(SVM) algorithm performed best by achieving 94% accuracy and for the English and Romanized Bangla dataset, Random Forest algorithm performed best by achieving 93% and 94% accuracy respectively. © 2022 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

X-ray Security Contraband Detection Based on Improved YOLOX 24

X-ray Security Contraband Detection Based on Improved YOLOX

引用

3rd Asia conference on algorithms, Computing and Machine Learning, CACML 2024

作者： Liu, Kaiwei Ren, Bin He, Chunhong Wang, Fujie Xu, Ziming Dongguan University of technology China International Institute of Microelectronics Dongguan University of technology China School of Urban Construction and environment Dongguan City University China

ISBN: (纸本)9798400716416

Aiming at the problems of complex background, sample imbalance and easy to squeeze and deform objects in X-ray security inspection contraband images, a YOLOX-based algorithm for detecting contraband objects in X-ray security inspection images is proposed. First, Deformable convolution is added to the backbone network of YOLOX so that the model can learn to adapt to the sampling offsets of different object deformations, thus enhancing the extraction of spatial feature information. Second, Triplet attention mechanism is used to establish inter-dimensional dependencies, which is used to enhance the model's perception of contraband while effectively suppressing background interference. Finally, focus loss is used in the model to improve the confidence loss function of YOLOX, which improves the model's recognition ability in the case of imbalance between difficult and easy samples. The proposed algorithm is tested on the SIXray dataset and the mAP is improved from the original 88.3% to 92.7%. Many existing state-of-the-art algorithms are compared with better detection accuracy and real-time performance. © 2024 ACM.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

A Proposed Ensemble Voting Model for Fake News Detection 2

A Proposed Ensemble Voting Model for Fake News Detection

引用

2nd international Mobile, Intelligent, and Ubiquitous Computing conference, MIUCC 2022

作者： Girgis, Sherry Amer, Eslam NetSync Cairo Egypt Misr International University Faculty of Computer Science Cairo Egypt

ISBN: (纸本)9781665466776

Fake news or rumors are a phenomenon that significantly influences our social lives. Politicians in the political world usually rely on fake news as a powerful mechanism to change public opinion. Fake news spread through the media poses a real threat to the credibility of information, and the detection of fake news has attracted increased attention in recent years. Therefore, it becomes highly necessary to develop a method to identify fake news. This paper proposes a new ensemble voting model for detecting fake news in online text using a hybrid of machine learning and deep learning algorithms. Our ensemble model consists of three algorithms, namely, Convolution Neural network (CNN) Gated Recurrent Unit (GRU) model of Recurrent Neural network (RNN) and Random Forest. We relied on Natural language processing to extract statistical and representative features from the LIAR dataset. We experimented with the extracted features with our ensemble model. Experimental evaluation showed that our model achieves the best performance on the LIAR dataset with an accuracy of 0.410. © 2022 IEEE.

关键词： Deep learning Recurrent neural networks Machine learning algorithms Terminology Feature extraction Ubiquitous computing Natural language processing

来源：评论

学校读者我要写书评

暂无评论

Distributed Search Engine Query Optimization Using Artificial Neural network

Distributed Search Engine Query Optimization Using Artificia...

引用

2022 international conference on Cyber Resilience, ICCR 2022

作者： Ali, Liaqat Al-Sakhnini, Mahmoud M. Kalra, Deepak Afzaal, Farheen Pervaiz, Madiha Khan, Muhammad Farrukh College of Engineering and Technology University of Science and Technology of Fujairah Fujairah United Arab Emirates School of Business Skyline University College University City Sharjah Sharjah1797 United Arab Emirates Faculty of Computer and Information Technology Al-Madinah International University Kuala Lumpur57100 Malaysia School of Information Technology Skyline University College University City Sharjah Sharjah1797 United Arab Emirates National College of Business Administration and Economics Lahore Pakistan University of South Asia Lahore Pakistan Minhaj University Department of Computer Science Lahore Pakistan

ISBN: (纸本)9781665461221

In this research, we propose a Distributed Search Engine Query Optimization (DSEQO) based sensor network concept for instantaneous forest fire exposure. The sensor network may identify and predict forest fire more sharp than the outdated satellite-based prediction method. The research mainly defines the information gathering and managing in sensor networks for real-time forest fire detection. To predict the real-time fire identification, an ANN technique is utilized to in-network information processing. After simulation it was seen that the suggested approach gives better results with LM approach in terms of Accuracy and Miss Rate. © 2022 IEEE.

关键词： Sensor networks

来源：评论

学校读者我要写书评

暂无评论

A Secure network Architecture for any on Premises Organization;Possible Vulnerabilities & their Solutions in CISCO 1

A Secure Network Architecture for any on Premises Organizati...

引用

1st international conference on Computational Science and technology, ICCST 2022

作者： Mim, Salman Hasan Mim, Afrin Akter Tasnim, Rehnuma Jabiullah, Md. Ismail Vengatesh, T. Daffodil International Universityline Dept. of Computer Science & Engineering Dhaka Bangladesh Madurai Kamaraj University Dept. of Computer Science Tamilnadu India

ISBN: (纸本)9781665476553

In the present time, in order to properly connect with various IoT devices from one end to the other, every organization requires a network. The architecture of a network should be designed such that communication may occur successfully without any security concerns. Each corporation has many departments that must be set up correctly. In this research. With the help of Cisco Packet Tracer simulation version 9, we developed an advanced hierarchical network design we presented, which can be applied by any type of organization/company and customized with various IoT devices. This design will improve communication more effectively. We also discuss the network's potential security issues and their potential solutions. © 2022 IEEE.

关键词： network architecture

来源：评论

学校读者我要写书评

暂无评论

Optimization Procedure for Intelligent Internet of Things Applications

Optimization Procedure for Intelligent Internet of Things Ap...

引用

2022 international conference on Business Analytics for technology and Security, ICBATS 2022

作者： Ahmed, Zeinab E. Hasan, Mohammad Kamrul Hashim, Aisha A. Saeed, Rashid A. Mokhtar, Rania A. Singh, Simar P. Ghazal, Taher M. University of Gezira Department of Computer Engineering Sudan Faculty of Information Science and Technlogy Bangi43600 Malaysia International Islamic University Malaysia Department of Electrical and Computer Engineering Malaysia Taif University College of Computers and Information Technology Department of Computer Engineering P.O. Box 11099 Taif Saudi Arabia Uttar Pradesh Greater Noida India

ISBN: (纸本)9781665409209

Internet of Things (IoT) is basically the concept and terminology of vehicular communications for Vehicles are becoming increasingly available in the literature. Applications for these are efficient traffic management, driving safety, and information services, which offer new service functionalities to extend efficiency for the network. In IoV, the vehicles carry advanced components such as actuators, sensors, and controllers to provide vehicle control functions and intelligent decision-making. The connectivity among vehicles is through intercommunication between devices, intelligent systems in the environment, and sensors [3]. There are three elements for a network model of IoV: client, connection, and cloud. The optimization technique finds the optimal result for sophisticated challenges by diminishing or exploiting objective functions that stand on one or more decision parameters that achieve the objective function value. This paper proposes a GA-based energy optimization procedure and assesses the performance over existing optimization techniques for intelligent IoT applications. © 2022 IEEE.

关键词： Vehicles

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103页 << < 34 35 36 37 38 39 40 41 42 43 > >>

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：