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

7,166 篇 会议
313 册 图书
219 篇 期刊文献

馆藏范围

7,691 篇 电子文献
7 种 纸本馆藏

日期分布

学科分类号

4,048 篇 工学
- 3,146 篇 计算机科学与技术...
- 1,973 篇 软件工程
- 1,220 篇 信息与通信工程
- 664 篇 电气工程
- 634 篇 控制科学与工程
- 360 篇 电子科学与技术（可...
- 267 篇 生物工程
- 242 篇 机械工程
- 208 篇 动力工程及工程热...
- 193 篇 生物医学工程（可授...
- 163 篇 仪器科学与技术
- 125 篇 化学工程与技术
- 124 篇 交通运输工程
- 124 篇 网络空间安全
- 121 篇 光学工程
- 118 篇 安全科学与工程
- 111 篇 材料科学与工程（可...
1,439 篇 理学
- 796 篇 数学
- 352 篇 物理学
- 308 篇 生物学
- 229 篇 统计学（可授理学、...
- 149 篇 系统科学
- 137 篇 化学
914 篇 管理学
- 619 篇 管理科学与工程(可...
- 384 篇 图书情报与档案管...
- 348 篇 工商管理
188 篇 医学
- 155 篇 临床医学
- 129 篇 基础医学(可授医学...
161 篇 法学
- 147 篇 社会学
110 篇 经济学
- 110 篇 应用经济学
95 篇 教育学
44 篇 农学
36 篇 文学
12 篇 军事学
4 篇 艺术学
1 篇 哲学

主题

208 篇 5g mobile commun...
102 篇 5g mobile commun...
102 篇 artificial intel...
88 篇 5g
86 篇 machine learning
68 篇 deep learning
67 篇 cloud computing
65 篇 real-time system...
61 篇 internet of thin...
61 篇 genetic algorith...
55 篇 computational in...
46 篇 computational mo...
43 篇 congresses.
43 篇 heuristic algori...
42 篇 accuracy
41 篇 optimization
39 篇 machine learning...
39 篇 distributed comp...
37 篇 computer archite...
36 篇 algorithms

机构

23 篇 carleton univ sc...
21 篇 univ york dept c...
17 篇 school of comput...
13 篇 st francis xavie...
12 篇 simon fraser uni...
11 篇 carleton univ de...
11 篇 sternberg astron...
10 篇 democritus unive...
10 篇 univ toronto dep...
10 篇 institute for nu...
10 篇 beijing universi...
10 篇 daffodil interna...
9 篇 university of te...
9 篇 graduate school ...
9 篇 univ york dept e...
9 篇 univ ottawa sch ...
8 篇 chitkara univers...
8 篇 simon fraser uni...
8 篇 univ ottawa site...
8 篇 univ toronto on ...

作者

23 篇 anon
16 篇 yang laurence t.
12 篇 ozawa s.
12 篇 tsunesada y.
11 篇 jui c.c.h.
11 篇 oshima a.
11 篇 tsuda r.
11 篇 kim j.h.
11 篇 bergman d.r.
11 篇 allen m.
11 篇 matsuyama t.
11 篇 wong t.
11 篇 ishii t.
11 篇 kim s.w.
11 篇 takamura m.
11 篇 yashiro k.
11 篇 kadota k.
11 篇 mayta r.
11 篇 ikeda d.
11 篇 aloisio r.

语言

6,575 篇 英文
1,018 篇 其他
139 篇 中文
4 篇 德文
3 篇 葡萄牙文
2 篇 俄文
1 篇 乌克兰文

检索条件"任意字段=Proceedings of the 5th International Conference on Algorithms, Computing and Systems"

共 7698 条记录，以下是881-890 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：

Decision-Making Support in Optimal Multicriteria Peer Reviewer Selection in Scientific conference Organization 5

Decision-Making Support in Optimal Multicriteria Peer Review...

引用

5th international conference on Control systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023

作者： Latypova, Viktoriya Ufa University of Science and Technology Department of Automated Management Systems Ufa Russia

ISBN: (纸本)9798350309126

It is very important to attract reports, which are qualitative, relevant and corresponding to the conference scope, in organizing a scientific conference. the reports are included in the program of the conference, and they define a degree of success of the entire event. that is why the stage of peer reviewer selection for incoming reports can be a defining moment in conference organization. Due to the fact that conference reports come in large numbers within a short time, a single-step selection of the most suitable peer reviewers at once for all reports is required. Consequently, a peer reviewer selection problem can be considered as an optimization problem. In existing research this optimization problem is formulated, but little attention is paid to multicriteriality question in them, when selecting peer reviewers. An approach to decision-making support in optimal multicriteria peer reviewer selection, taking into consideration peer reviewers' characteristics, such as: expertise and authority on the subject of the submitted reports, general expertise and authority, and also expertise in reviewing, is proposed in the paper. the approach was tested on data of the IEEE conference "USBEREIT", using scientometric base "***". © 2023 IEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Research on Demand Response Data Compression Based on Neural Network under 5G Environment 5

Research on Demand Response Data Compression Based on Neural...

引用

5th IEEE international conference on Power, Intelligent computing and systems, ICPICS 2023

作者： Pan, Yuqing Qi, Bing Li, Bin Zhu, Enguo Liu, Yan Lu, Chunguang Wang, Chaoliang School of Electrical and Electronic Engineering North China Electric Power University Beijing China China Electric Power Research Institute Beijing China State Grid Zhejiang Electric Power Co. Ltd. Hangzhou China

ISBN: (纸本)9798350333442

In the context of 5G, data volume is exploding, and data transmission and processing are facing challenges. In this paper, a data compression algorithm based on neural network is proposed to solve the problem of large scale and high dimension of demand response data in the process of transmission and storage. By mapping demand response data to low dimensional space for representation, the algorithm effectively reduces the amount of data and improves the efficiency of data transmission and storage. the algorithm uses Long Short Term Memory network for data compression and restoration. the experimental results show that the data compression algorithm based on neural network has good compression effect and accuracy. At the same time, the algorithm has good versatility and adaptability, and can be applied to the compression and restoration of data sets of different types and sizes, providing an effective solution for efficient demand response data processing. © 2023 IEEE.

关键词： Restoration

来源：评论

学校读者我要写书评

暂无评论

Coal Characterization and Classification through IDNN Innovations Contrasted with LeNet-5 and CNN Techniques 5

Coal Characterization and Classification through IDNN Innova...

引用

5th IEEE international conference on computing, Power, and Communication Technologies, IC2PCT 2024

作者： Praveena, M. Afsana, A. Devi, T. Durga Sudharsan, S. Dr Sns Rajalakshmi College of Arts and Science Department of Computer Science Coimbatore India

ISBN: (纸本)9798350383522

Coal remains the predominant energy source worldwide, yet the presence of gangue, an unwanted byproduct from coal power plants, poses challenges. Effective removal of gangue during coal's pre-processing phase is imperative. the advent of advanced computing opens avenues for refining gangue separation techniques. Our study introduces a novel deep neural network approach for precise gangue identification. this method builds upon discernible differences in grayscale and surface texture between coal and gangue to design a coal-gangue filtration system. Leveraging this technique, machines can autonomously detect and segregate gangue, minimizing human intervention. Should the coal sector adopt this innovative technology, it would catalyze a transformative shift towards automated coal gangue extraction. this not only elevates raw coal processing efficiency but also enhances the overall coal quality. Empirical tests underscore the efficacy of our method, recording a remarkable accuracy improvement of up to 98.87% in distinguishing coal and gangue materials compared to existing practices. © 2024 IEEE.

关键词： Automated extraction Coal gangue separation Coal quality improvement Deep neural network Grayscale variations

来源：评论

学校读者我要写书评

暂无评论

Game-theoretic Power Allocation for Network Slicing in NOMA-Based 5G Networks: A Stackelberg Approach 30

Game-Theoretic Power Allocation for Network Slicing in NOMA-...

引用

30th international conference on Mobile computing and Networking, ACM MobiCom 2024

作者： Abd Al Khalek, Aya Karouny, Aya Ahmad, Abdel-Mehsen School of Engineering Lebanese International University Al Khyiara West Bekaa 60112476 Lebanon

ISBN: (纸本)9798400704895

this paper investigates power allocation optimization in 5G networks utilizing Non-Orthogonal Multiple Access (NOMA) and network slicing, with a focus on Ultra-Reliable Low-Latency Communication (URLLC) and Enhanced Mobile Broadband (eMBB) slices. Addressing the challenge of reducing latency in the URLLC slice while boosting throughput in the eMBB slice, a Stackelberg game-theoretic approach is applied to model the hierarchical interactions between network slices. the base stations (BS) in the URLLC and eMBB slices act as leaders, and the users as followers. the study's findings reveal that the proposed method effectively minimizes latency in the URLLC slice and improves throughput in the eMBB slice, highlighting the efficacy of the Stackelberg algorithm in managing power distribution to meet diverse network slice requirements. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： 5G mobile communication systems

来源：评论

学校读者我要写书评

暂无评论

A Wideband M-Shaped Monopole Antenna for Future Level 5G Communication 5

A Wideband M-Shaped Monopole Antenna for Future Level 5G Com...

引用

5th international conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Devi, Lanka Madhavi Subbarao, Chalasani School of Engineering Career Point University Kota India School of Engineering Career Point University India

ISBN: (纸本)9798331530013

An M-shaped monopole antenna has been designed for efficient 5G wireless and mobile communication applications operating between 2.2 GHz and 5.5 GHz. Addressing the need for compact and high-performance antennas, the design incorporates square split-ring resonators (SRRs) to achieve metamaterial characteristics. Fabricated on an FR4 substrate with dimensions of 37 \times 26\times 1.6 mm, the antenna is analyzed and optimized using the Finite-Difference Time-Domain (FDTD) method. the metamaterial properties of the SRRs are evaluated through unit-cell analysis for permeability, permittivity, and refractive index, demonstrating significant performance improvements. the prototyped antenna shows strong correlation with simulation results, with enhanced gain as a key measure of improvement. Performance metrics achieved include accuracy of 98.45%, throughput of 97.84%, recall of 96.54%, and sensitivity of 97.93%. these results highlight the antenna's suitability for modern 5G applications, providing a compact, efficient solution for high-speed communication systems. this module can be possible to use in upcoming technologies. © 2024 IEEE.

关键词： Monopole antennas

来源：评论

学校读者我要写书评

暂无评论

A Literature Review of Machine Learning Techniques for Recommender System In E-Commerce 5

A Literature Review of Machine Learning Techniques for Recom...

引用

5th IEEE international conference on Electro-computing Technologies for Humanity, NIGERCON 2024

作者： Ajibade, Samuel-Soma M. Jasser, Muhammed Basheer Hoong, Angela Lee Siew Culpable, Rex V. Quirante, Celestino A. Dacillo, Arvie L. Adetunla, Adedotun O. Akintoye, Kayode Akinlekan Sunway University School of Engineering and Technology Department of Data Science and Artificial Intelligence No. 5 Jalan Universiti Selangor Darul Ehsan Bandar Sunway47500 Malaysia Selangor Malaysia Cebu Technological University College of Technology Cebu Moalboal Philippines Afe Babalola University Dept. of Mechanical and Mechatronics Engineering Ekiti Ado Nigeria University of Johannesburg Dept. of Mechanical Engineering Science Johannesburg South Africa The Federal Polytechnic Department of Computer Science Ekiti State Ado Ekiti Nigeria

ISBN: (纸本)9798331542559

the swift expansion of e-commerce has prompted the creation of advanced recommender systems to augment user experience and boost sales. Machine learning techniques have become fundamental for the development of these systems, allowing firms to provide tailored product recommendations based on customer preferences and habits. this research presents a thorough literature assessment of machine learning methodologies utilized in recommender systems, emphasizing their predictive efficacy in the e-commerce sector. We analyze essential methodologies, including collaborative filtering, content-based filtering, hybrid models, and sophisticated techniques such as deep learning. through the examination of 38 research in the domain, we elucidate the limitations, advantages, and possibilities of machine learning algorithms in delivering precise and scalable suggestions. Our research indicates that hybrid models, which integrate many recommendation strategies, demonstrate significant potential in addressing challenges like the cold start problem and data sparsity. the report delineates prospective research avenues, underscoring the necessity for continued innovation in the integration of machine learning into recommender systems to improve accuracy and customer happiness in e-commerce settings. © 2024 IEEE.

关键词： Marketplaces

来源：评论

学校读者我要写书评

暂无评论

Channel Coding QoS Evaluation for 3GPP Sub-6GHz and mmWave 5G V2X Highway Communication systems 7

Channel Coding QoS Evaluation for 3GPP Sub-6GHz and mmWave 5...

引用

7th international conference on algorithms, computing and systems, ICACS 2023

作者： Chatzoulis, Dimitrios Chaikalis, Costas Kosmanos, Dimitrios Anagnostou, Kostas Karetsos, George Lampsas, Petros Department of Digital Systems University of Thessaly Larissa Greece Department of Informatics & Telecommunications University of Thessaly Lamia Greece

ISBN: (纸本)9798400709098

Vehicle-to-everything (V2X) communications has gained a lot of interest in recent years and inevitably became part of the 5th-Generation New Radio (5G-NR) technologies, namely the sub-6GHz 5G and millimeter wave (mmWave) 5G. Also, the 3rd-Generation Partnership Project (3GPP) has defined reliability, end-to-end latency, data rate and range as the most important quality of service (QoS) parameters, which become crucial in highway propagation environments where the vehicles are moving at high speeds. these parameters are mostly improved by channel coding, which is a mechanism for limiting errors and improving the communication quality. therefore, in this paper, we investigate the impact of use of 4th-Generation Long-Term Evolution (4G-LTE) turbo codes, 5G-NR polar codes and low-density parity-check codes (LDPC) in 5G V2X highway propagation environments and analyze the QoS parameters for both sub-6GHz 5G and mmWave 5G technologies. Our analysis shows that turbo-based coding schemes can be a future candidate for small data frame 5G V2X highway communications, since they present superior performance in most of the aforementioned QoS parameters. © 2023 Copyright held by the owner/author(s).

关键词： Channel coding

来源：评论

学校读者我要写书评

暂无评论

5th IFIP WG 5.15 international conference on Information Technology in Disaster Risk Reduction, ITDRR 2020

5th IFIP WG 5.15 International Conference on Information Tec...

引用

5th IFIP WG 5.15 international conference on Information Technology in Disaster Risk Reduction, ITDRR 2020

ISBN: (纸本)9783030814687

the proceedings contain 24 papers. the special focus in this conference is on Information Technology in Disaster Risk Reduction. the topics include: Applying Information Technology for Cross Border Disaster Risk Reduction through Public Private Partnership Amidst COVID-19;Towards Single Value Coordinate System (SVCS) for Earthquake Forecasting Using Single Layer Hierarchical Graph Neuron (SLHGN);the Muddy Practice of Social Media Crowdsourcing in Bandung City;bumikita Mobile Application: the Starting Point of a Children-Centred Approach for Multi Hazard Early Warning System in Indonesia;preface;web Portal to Support Remote Island for Sightseeing and Disaster Management;general Knowledge Representation and Sharing for Disaster Management;information Technology Based on Qualitative Methods in Cyber-Physical systems of Situational Disaster Risk Management;creating a List of Works on Reconstruction of Infrastructure Elements in Natural Disasters Based on Information Technologies;the Ianos Cyclone (September 2020, Greece) from Perspective of Utilizing Social Networks for DM;cyber-Security in Digital Metering Value Chain for Mountain Landslide Warning;disaster Risk Reduction for All?: Understanding Intersectionality in Disaster Situations;Opportunities and Challenges of ICT in Emergency Processes;integration in and Between Earth Observation Research Centers for Achieving Sustainable Development;towards Safety and Security-Related Testing of Crisis Management Solutions;mathematical Model of Integral Fire Risk Management;Development of Real-Time Evacuation Support System (RESS) to Reduce Human Damage in Natural Disasters;mathematical and Computer Modeling of Active Movement of People During Evacuation from Buildings;Cyber Resilience Strategic Planning and Self-assessment Tool for Operationalization in SMEs;Monitoring the Health System Saturation Risk During COVID-19 Pandemics.

关键词：

来源：评论

学校读者我要写书评

暂无评论

the application of large-scale MIMO detection algorithm in 5G and beyond 5G 4

The application of large-scale MIMO detection algorithm in 5...

引用

4th international conference on Signal Processing and Machine Learning, CONF-SPML 2024

作者： Tang, Qiteng Harbin Institute of Technology Shenzhen Electronics and Information Engineering Shenzhen China

ISBN: (纸本)9781510674721

In recent years, the rapid advancement of 5G technology has brought to the forefront the pivotal role of Multiple-Input Multiple-Output (MIMO) system algorithms. this paper delves into a comprehensive exploration of two distinct algorithmic approaches within the context of 5G applications for massive MIMO systems. these two approaches are matrix transformation and machine learning, and the following paragraphs will shed light on their respective attributes and intricacies. Matrix transformation is a fundamental technique in MIMO systems, which aims to optimize the transmission of signals by manipulating the channel matrices. this method, while established and reliable, exhibits certain limitations in accommodating the dynamic and complex nature of 5G environments. On the other hand, machine learning algorithms, with their adaptability and capacity for self-improvement, have gained prominence in recent years. they offer a promising avenue for addressing the challenges presented by 5G MIMO systems, such as handling interference and optimizing resource allocation. In this paper, we provide concrete examples to analyze the strengths and weaknesses of both matrix transformation and machine learning in the context of 5G applications. Furthermore, we explore potential directions for the application of these algorithms and propose areas for improvement, with the ultimate goal of enhancing the efficiency and performance of massive MIMO systems in the evolving landscape of 5G technology. © 2024 SPIE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Road Target Detection Method Based on Improved Lightweight YOLOv5s 13

Road Target Detection Method Based on Improved Lightweight Y...

引用

13th international conference of Information and Communication Technology, ICTech 2024

作者： Gao, Cen Hu, Die Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350376258

—Aiming at the current YOLOv5s on the edge devices are susceptible to energy consumption and memory, which makes the traditional YOLO series algorithms recognition efficiency is low, for this reason, this paper proposes a road target detection algorithm based on the improved YOLOv5s. the algorithm adopts the WIoU loss function with a two-layer attention mechanism to raise the network's localisation accuracy of the target;adds the SE attention mechanism to the tail of the backbone network to help the network obtain important information;uses the GhostNet network to replace some of the backbone network convolutional layers in the original YOLOv5s network making the model less parametric. the experimental results show that the improved YOLOv5s has a 2.3% improvement in degree of preciseness in detection and the number of parameters has decreased by about 7% tested on the KITTI dataset, which makes it more practical. ©2024 IEEE.

关键词： GhostConv lightweight model target detection WIoU YOLOv5

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 << < 85 86 87 88 89 90 91 92 93 94 > >>

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：