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

2,320 篇 会议
641 篇 期刊文献
7 册 图书

馆藏范围

2,968 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,622 篇 工学
- 1,105 篇 计算机科学与技术...
- 850 篇 软件工程
- 716 篇 信息与通信工程
- 250 篇 电子科学与技术（可...
- 201 篇 控制科学与工程
- 197 篇 电气工程
- 146 篇 生物工程
- 119 篇 动力工程及工程热...
- 106 篇 仪器科学与技术
- 93 篇 生物医学工程（可授...
- 88 篇 机械工程
- 81 篇 光学工程
- 65 篇 安全科学与工程
- 52 篇 交通运输工程
- 48 篇 建筑学
- 46 篇 化学工程与技术
703 篇 理学
- 419 篇 数学
- 162 篇 生物学
- 147 篇 统计学（可授理学、...
- 141 篇 物理学
- 102 篇 系统科学
- 52 篇 化学
383 篇 管理学
- 282 篇 管理科学与工程(可...
- 165 篇 工商管理
- 117 篇 图书情报与档案管...
81 篇 医学
- 69 篇 临床医学
- 64 篇 基础医学(可授医学...
- 44 篇 药学(可授医学、理...
74 篇 法学
- 59 篇 社会学
54 篇 经济学
- 54 篇 应用经济学
40 篇 农学
20 篇 教育学
17 篇 军事学
11 篇 文学
3 篇 艺术学

主题

165 篇 bandwidth
159 篇 quality of servi...
157 篇 computer science
156 篇 wireless sensor ...
152 篇 wireless network...
139 篇 throughput
127 篇 computer network...
121 篇 delay
119 篇 wireless communi...
97 篇 intelligent netw...
96 篇 protocols
91 篇 telecommunicatio...
88 篇 routing
83 篇 laboratories
77 篇 interference
75 篇 energy consumpti...
75 篇 mobile computing
72 篇 resource managem...
70 篇 costs
69 篇 fading

机构

189 篇 department of co...
159 篇 graduate institu...
111 篇 state key labora...
68 篇 department of co...
47 篇 networking and i...
43 篇 institute of inf...
38 篇 wireless network...
33 篇 the state key la...
28 篇 laboratory of mu...
27 篇 department of co...
26 篇 graduate institu...
25 篇 advanced network...
25 篇 department of ne...
24 篇 wireless network...
23 篇 department of co...
22 篇 networking proto...
22 篇 research center ...
21 篇 department of co...
20 篇 department of el...
20 篇 department of el...

作者

87 篇 xi zhang
48 篇 s.k. das
40 篇 tei-wei kuo
35 篇 kuo tei-wei
34 篇 nirwan ansari
32 篇 zhang xi
30 篇 wu ja-ling
29 篇 robert w. heath
27 篇 niyato dusit
27 篇 sajal k. das
26 篇 pang ai-chun
25 篇 andrews jeffrey ...
25 篇 chung-ming huang
25 篇 heath jr. robert...
24 篇 ai-chun pang
24 篇 liu pangfeng
23 篇 n. ansari
23 篇 chi-sheng shih
23 篇 han zhu
23 篇 hung yi-ping

语言

2,876 篇 英文
66 篇 其他
27 篇 中文

检索条件"机构=Department of Computer Engineering and Networking"

共 2968 条记录，以下是301-310 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：

Massive-MIMO Based RSMA Under Nakagami-m Channel Over 6G mURLLC Wireless Networks

Massive-MIMO Based RSMA Under Nakagami-m Channel Over 6G mUR...

引用

Annual Conference on Information Sciences and Systems (CISS)

作者： Xi Zhang Qixuan Zhu H. Vincent Poor Department of Electrical and Computer Engineering Networking and Information Systems Laboratory Texas A&M University College Station TX USA Department of Electrical and Computer Engineering Princeton University Princeton NJ USA

The sixth generation (6G) mobile wireless networks are expected to provide massive ultra-reliable and low-latency communications (mURLLC) for data services, which require extremely stringent quality-of-services (QoS) with massive connectivity. Rate splitting (RS) multiple access schemes have been proposed recently for tackling the difficulty of the massive access yielded by a large number of mobile users (MUs) requesting to connect to a single base station. Massive multiple-input and multiple-output (massive-MIMO) communication is considered a promising solution to serve massive MUs in 6G wireless networks. However, how to apply RS schemes into massive-MIMO techniques to support the massive access has not been sufficiently studied. In this paper, we propose to integrate RS schemes with massive-MIMO techniques to achieve mURLLC transmissions under a Nakagamir $m$ fading wireless channel. First, we establish the system model for the integrated RS and massive-MIMO schemes. Then, we derive closed-form expressions for the signal-to-interference-plus-noise ratios (SINRs) under a Nakagami- $-m$ fading channel and obtain the channel capacity. Finally, we use numerical analyses to validate and evaluate our proposed RS and massive-MIMO integrated schemes.

关键词： 6G mobile communication Fading channels Closed-form solutions Channel capacity Wireless networks Interference Quality of service

来源：评论

学校读者我要写书评

暂无评论

Vehicle Insurance Damage Estimation Using YOLOv5 4

Vehicle Insurance Damage Estimation Using YOLOv5

引用

4th International Conference on Power, Energy, Control and Transmission Systems, ICPECTS 2024

作者： Subash, R. Prathaban, Banu Priya Ganeshkumar, N. Gopinathan, S. School of Computing Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur Chennai India School of Computing Srm Institute of Science and Technology Department of Networking and Communications Kattankulathur Chennai India Department of Computer Science and Engineering Gitam School of Technology Bengaluru Off-Campus Karnataka Bengaluru562163 India Sri Sai Ram Institute of Technology Department of Artificial Intelligence and Data Science Chennai India

ISBN: (纸本)9798331508845

Accident assessments for insurance companies are currently conducted manually, which can be time-consuming and prone to human error. The proposed method seeks to automate this process, aiming to save time and enhance accuracy. This paper introduces an innovative approach to analyzing object damage by leveraging the advanced YOLOv5 (You Only Look One Level) deep learning architecture. The research is meticulously crafted to address the imperative need for robust and precise detection and classification of damaged objects in images, crucial for effective assessment of structural and environmental integrity. Leveraging the unparalleled real-time object detection capabilities of YOLOv5, the framework is finely tuned and trained on a comprehensive dataset encompassing diverse scenarios of damaged objects. Through exhaustive experimentation and validation, our methodology demonstrates substantial advancements, offering unparalleled efficiency and accuracy in the domain of object damage analysis. The findings of this study hold significant implications for a broad spectrum of applications, ranging from infrastructure monitoring to disaster response, underscoring the transformative potential of deep learning in enhancing critical assessment processes. © 2024 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

The ε-Effective Capacity for Statistical Delay and Error-Rate Bounded QoS Provisioning Over 6G CF M-MIMO Wireless Networks Using HARQ-IR

The ε-Effective Capacity for Statistical Delay and Error-Ra...

引用

Annual Conference on Information Sciences and Systems (CISS)

作者： Xi Zhang Jingqing Wang H. Vincent Poor Department of Electrical and Computer Engineering Networking and Information Systems Laboratory Texas A&M University College Station TX USA Department of Electrical and Computer Engineering Princeton University Princeton NJ USA

Significant effort has been devoted to the problem of guaranteeing stringent ultra-reliable and low-latency communications (URLLC) while introducing new requirements for better quality-of-services (QoS) over next generation wireless networks. One of the major design issues raised by URLLC is how to support explosively growing demands for delay-sensitive multimedia applications while guaranteeing ultra-reliability. Towards this end, there have been a wide spectrum of promising techniques, including statistical delay and error rate-bounded QoS provisioning, cell-free (CF) massive multiple-input-multiple-output (m-MIMO), finite blocklength coding (FBC), hybrid automatic repeat request with incremental redundancy (HARQ-IR) protocol, etc. However, when being integrated with FBC, how to rigorously and efficiently characterize the dynamics of mobile wireless networks in terms of statistical delay and error-rate bounded QoS provisioning for CF m-MIMO has imposed many new challenges not encountered before. To overcome these challenges, in this paper we develop statistical delay and error-rate bounded QoS analytical modeling schemes to characterize the FBC-based $\epsilon$ -effective capacity over 6G CF m-MIMO wireless networks using HARQ-IR. In particular, first we establish CF m-MIMO based system architecture models. Second, we apply a HARQ-IR protocol for deriving the channel coding rate, outage probability, and FBC based $\epsilon$ -effective capacity function using the Mellin transform. Finally, we conduct a set of simulations to validate and evaluate our proposed schemes.

关键词： 6G mobile communication Analytical models Protocols Wireless networks Systems architecture Quality of service Transforms

来源：评论

学校读者我要写书评

暂无评论

An Intrusion Detection System for IoT Using KNN and Decision-Tree Based Classification

An Intrusion Detection System for IoT Using KNN and Decision...

引用

2021 International Conference of Modern Trends in Information and Communication Technology Industry, MTICTI 2021

作者： Abdaljabar, Zainab Hussam Ucan, Osman Nuri Ali Alheeti, Khattab M. University of Altinbaş Institute of Graduate Studies Department of Electrical and Computer Engineering Turkey University of Anbar College of Computer Science and Information Technology Department of Computer Networking Systems Iraq

ISBN: (纸本)9781665414449

The Internet of Things (IoT) has grown rapidly in recent years, intending to affect everything from everyday life to large industrial systems. Regrettably, this has attracted the attention of hackers, who have turned the Internet of Things into a target for malicious activity, exposing end nodes to attack. IoT devices' sheer volume and diversity make protecting the IoT infrastructure with a traditional intrusion detection system difficult. So to protect IoT devices, the data flow was investigated in an IoT context to protect these devices from hackers. We used two machine learning classifiers in this work: KNN (K-Nearest Neighbors) and DT (Decision Tree). We calculated the Error Rate, Accuracy, Precision, Recall, and F1 score for each method. When we combined these two classifiers, we obtained outstanding results (100 %). We have a high rate of detection of attacks. The findings are summarized. © 2021 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions 25

Challenges and Innovations in LLM-Powered Fake News Detectio...

引用

Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security

作者： Jingyuan Yi Zeqiu Xu Tianyi Huang Peiyang Yu Carnegie Mellon University Information Networking Institute Pittsburgh PA USA University of California Berkeley Department of Electrical Engineering and Computer Sciences Berkeley Berkeley CA USA

ISBN: (纸本)9798400713453

The pervasiveness of the dissemination of fake news through social media platforms poses critical risks to the trust of the general public, societal stability, and democratic institutions. This challenge calls for novel methodologies in detection, which can keep pace with the dynamic and multi-modal nature of misinformation. Recent works include powering the detection using large language model advances in multimodal frameworks, methodologies using graphs, and adversarial training in the literature of fake news. Based on the different approaches which can bring success, some key highlights will be underlined: enhanced LLM-improves accuracy through more advanced semantics and cross-modality fusion for robust detections. The review further identifies critical gaps in adaptability to dynamic social media trends, real-time, and cross-platform detection capabilities. Future directions underline the development of style-agnostic models, cross-lingual detection frameworks, and robust policies with a view to mitigating LLM-driven misinformation. This synthesis thus lays a concrete foundation for those researchers and practitioners committed to reinforcing fake news detection systems with complications that keep on growing in the digital landscape.

关键词： Large Language Model

来源：评论

学校读者我要写书评

暂无评论

Automation Intervention for Monitoring Agriculture Farming Scale: A Review 14

Automation Intervention for Monitoring Agriculture Farming S...

引用

14th International Conference on Computing Communication and networking Technologies, ICCCNT 2023

作者： Joshi, Kapil Kumar, Santosh Bhatla, Shruti Kaushik, Vishal Anandaram, Harishchander Kumar, Anil Uttaranchal University Department of Cse Uttaranchal Institute of Technology Dehradun India Sharda University Department of Mathematics Sharda School of Basic Sciences and Research UP Greater Noida India Graphic Era Hill University Department of Computer Science and Engineering Uttarakhand Dehradun India Upes School of Computer Science Dehradun India Amrita Vishwa Vidyapeetham Centre for Computational Engineering and Networking Tamil Nadu Coimbatore India Dit University School of Computing Dehradun India

ISBN: (纸本)9798350335095

Agricultural data is only valuable when it has been managed successfully. As data has evolved into the fundamental ingredient in contemporary agriculture to assist farmers with vital decision, latest developments in managing data are causing Smart Agriculture to rise dramatically. With factual information obtained by sensors, significant advantages emerge with the goal of enhancing production and ecology. This type of data-driven farm management is built on information that can boost efficiency by preventing resource waste and contamination of the ecosystem. Data-driven farming, with the assistance of automated solutions using artificial intelligence techniques, lays the groundwork for potential sustainable *** article analyses the current state of sophisticated agricultural systems by rehashing each critical step, from data processing in field crops to variable interest rate implementations, so that farmers can make optimised decision making to save funds while safeguarding the natural environment and converting how meal would be generated to meet the upcoming population explosion. © 2023 IEEE.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Transforming Lung Carcinoma Analysis: Deep Learning‘s Efficient Segmentation and Classification

Transforming Lung Carcinoma Analysis: Deep Learning‘s Effic...

引用

Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： D. Divya D. Saveetha V.C. Bharathi P. Shanmugam Department of Computer Science and Engineering Jerusalem College of Engineering Chennai India Department of Networking and Communications SRM Institute of Science and Technology Chennai India School of Computer Science and Engineering VIT-AP University Amaravati Andhra Pradesh India Department of Computer Science and Engineering Rajalakshmi Engineering College Chennai India

Cancerous cells can develop in the lungs, a condition known as lung carcinoma. One of the most deadly and challenging malignancies to cure, lung cancer often spreads to other parts of the body at an early stage. The World Health Organisation reports that for several decades, lung cancer has topped all cancers globally in terms of incidence. Early detection and treatment of lung cancer are of the utmost importance. More effective treatments, less intrusive surgeries, and longer survival times may result from this. This paper presents a method for efficiently segmenting and classifying lung carcinomas using convolutional neural networks (CNNs) for the purpose of identifying malignant tumors. Here, additional effective methods such as an adaptive median filter for preprocessing, histogram equalization, edge-based segmentation, and Convolutional Neural Network (CNN) for successful classification are used to identify the lung carcinoma. To make segmentation more efficient, we use the Adaptive Median Filter in conjunction with the Histogram Equalization technique. It is also possible to transfer the important properties to the classification algorithm by deriving them from feature similarity. When compared to another prediction model that is already in use, the suggested model has the potential to attain superior accuracy. Reduced time and effort spent on detecting lung cancer are two benefits of the enhanced performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

M2-Fi: Multi-person Respiration Monitoring via Handheld WiFi Devices

M2-Fi: Multi-person Respiration Monitoring via Handheld WiFi...

引用

IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Jingyang Hu Hongbo Jiang Tianyue Zheng Jingzhi Hu Hongbo Wang Hangcheng Cao Zhe Chen Jun Luo College of Computer Science and Electronic Engineering Hunan University China School of Computer Science and Engineering Nanyang Technological University (NTU) Singapore Department of Computer Science City University of Hong Kong China Intelligent Networking and Computing Research Center and School of Computer Science Fudan University China

ISBN: (数字)9798350383508

ISBN: (纸本)9798350383515

Wi-Fi signals are commonly used for conventional communication, yet they can also realize low-cost and non-invasive human sensing. However, Wi-Fi sensing in Multi-person scenarios is still a challenging problem. In this paper, we propose M 2 -Fi to achieve multi-person respiration monitoring using a handheld device. M 2 -Fi leverages Wi-Fi BFI (beamforming feedback information) performs respiration monitoring. As a compressed version of the uplink CSI (channel state information), BFI transmission is unencrypted, easily obtained using frame capture, and does not require specific firmware to obtain. M 2 -Fi is based on an interesting experiment phenomenon that when a Wi-Fi device is very close to a subject, near-field channel changes caused by the subject significantly cancel out changes from other subjects. We employed VMD (Variational Mode Decomposition) to eliminate the interference caused by hand movement in the BFI time series. Subsequently, we devised a deep learning architecture based on GAN (Generative Adversarial Networks) to recover fine-grained respiration waveforms from the respiration patterns extracted from the BFI time series. Our experiments on collected 50-hour data from 8 subjects show that M 2 -Fi can accurately recover the respiration waveforms of multiple persons with handheld devices.

关键词： Performance evaluation Time series analysis Interference Generative adversarial networks Hardware Sensors Uplink

来源：评论

学校读者我要写书评

暂无评论

AI Technological Interference in Court Proceedings: Right to Fair Trial Decision 3

AI Technological Interference in Court Proceedings: Right to...

引用

3rd International Conference on Advancement in Electronics and Communication engineering, AECE 2023

作者： Kumar, Santosh Joshi, Kapil Singh, Sumeshwar Anandaram, Harishchander Sindhu, Kawerinder Singh Mahariya, Satish Kumar Kaushik, Vishal Sharda School of Basic Sciences and Research Sharda University Department of Mathematics UP Greater Noida India Uttaranchal Institute of Technology Uttaranchal University Department of Cse Dehradun India Graphic Era Hill University Department of Computer Science and Engineering Uttarakhand Dehradun India Amrita School of Artificial Intelligence Centre for Computational Engineering and Networking Coimbatore India Uttaranchal University Dehradun India Gsss Mahawa Neemkathana Rajasthan Sikar India School of Computer Science Upes India

ISBN: (纸本)9798350330724

The given study focuses on the influence of artificial intelligence (AI) on adjudicatory procedures mostly on observance of such right to an impartial trial in several law-related fields with respect to existing decisions. The consideration of such substance of the right to an impartial trial serves as the beginning stage for the debate, with a special focus on the autonomy and impartiality of the judiciary. Following that, the article analyses the prospect of minimizing the individual role in court processes in charge of making decisions using information technologies. This paper analyses the admissibility of using AI tools in the judiciary and contains considerations on ethical aspects of AI application in judicial proceedings and whether an AI system can take over the role of a decision-maker in judicial proceedings, thereby replacing or supporting the judge. The paper with a view of its legal compliance, non-discrimination, transparency, and efficiency of legal proceedings. The study employs the method of analyzing the law in force and investigating theories of law, taking into account the critical analysis of the literature at the decision level. © 2023 IEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

HRC-CLSS: An Hybrid Resource Constrained Certificate-Less Signcryption Solution for Securing Crowdsourced IIoT Environments 5

HRC-CLSS: An Hybrid Resource Constrained Certificate-Less Si...

引用

5th International Conference on Inventive Research in Computing Applications, ICIRCA 2023

作者： Yamini, B. Srinivasan, A. Selvi, M. Sumithra, S. Sathya, T. Uthayakumar, G.S. Srm Institute of Science and Technology Department of Networking and Communication Tamil Nadu Kattangulathur Chennai India Dhanalakshmi College of Engineering Manimangalam Department of Ai & Ds Tamil Nadu Chennai India Sathyabama Institute of Science and Technology Department of Cse Tamil Nadu Chennai India Panimalar Engineering College Department of Cse Tamilnadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Tamilnadu Chennai India St. Joseph's Institute of Technology Omr Department of Electronics and Communication Engineering Tamilnadu Chennai India

ISBN: (纸本)9798350321425

The Industrial Internet of Things (IIoT) has become an essential component of modern industrial automation. However, the security of IIoT remains a significant challenge due to its distributed and heterogeneous nature. The proposed hybrid approach, called HRC-CLS, integrates symmetric and asymmetric encryption, Certificate-less Signcryption (CLS), and attribute-based encryption to provide confidentiality, integrity, authenticity, and access control in the IIoT environment. The proposed approach supports dynamic access control and fine-grained access policies. The results of the experiments indicate that the suggested scheme outperforms other CLS methods that are already in use in terms of a variety of performance measures. The strategy may find use in a variety of contexts, including the automation of manufacturing processes, the development of smart cities, and medical care. © 2023 IEEE.

关键词： Access control

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297页 << < 27 28 29 30 31 32 33 34 35 36 > >>

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：