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

1,949 篇 会议
127 册 图书
7 篇 期刊文献

馆藏范围

2,083 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,105 篇 工学
- 713 篇 计算机科学与技术...
- 533 篇 信息与通信工程
- 419 篇 软件工程
- 253 篇 电气工程
- 183 篇 控制科学与工程
- 100 篇 电子科学与技术（可...
- 74 篇 生物工程
- 64 篇 光学工程
- 57 篇 网络空间安全
- 55 篇 机械工程
- 55 篇 交通运输工程
- 50 篇 生物医学工程（可授...
- 41 篇 仪器科学与技术
- 40 篇 安全科学与工程
- 39 篇 动力工程及工程热...
- 28 篇 航空宇航科学与技...
- 25 篇 建筑学
333 篇 理学
- 161 篇 数学
- 83 篇 物理学
- 83 篇 生物学
- 63 篇 统计学（可授理学、...
- 56 篇 系统科学
268 篇 管理学
- 141 篇 管理科学与工程(可...
- 139 篇 图书情报与档案管...
- 83 篇 工商管理
54 篇 医学
- 52 篇 临床医学
- 42 篇 基础医学(可授医学...
- 28 篇 公共卫生与预防医...
41 篇 法学
- 33 篇 社会学
26 篇 经济学
- 26 篇 应用经济学
13 篇 教育学
12 篇 农学
7 篇 军事学
6 篇 文学

主题

213 篇 wireless communi...
105 篇 wireless sensor ...
90 篇 computer communi...
74 篇 simulation
72 篇 real-time system...
59 篇 communication ne...
53 篇 signal processin...
52 篇 protocols
51 篇 information syst...
51 篇 deep learning
50 篇 artificial intel...
48 篇 neural networks
48 篇 computational mo...
47 篇 signal processin...
46 篇 5g mobile commun...
44 篇 mobile communica...
44 篇 training
43 篇 quality of servi...
38 篇 bandwidth
35 篇 internet of thin...

机构

18 篇 department of ma...
16 篇 department of el...
13 篇 ocean college ji...
11 篇 national mobile ...
11 篇 de la salle univ...
8 篇 de la salle univ...
7 篇 state key labora...
7 篇 school of commun...
7 篇 southeast univ n...
7 篇 international in...
6 篇 department of in...
6 篇 department of pr...
6 篇 state key labora...
6 篇 university of mi...
6 篇 dicar polytecnic...
6 篇 department of co...
6 篇 monash universit...
6 篇 purple mountain ...
6 篇 school of engine...
6 篇 school of inform...

作者

14 篇 ronnie concepcio...
10 篇 concepcion ronni...
8 篇 elmer p. dadios
7 篇 argel a. bandala
7 篇 kolesnikova kate...
7 篇 ryan rhay p. vic...
7 篇 dadios elmer p.
6 篇 edwin sybingco
6 篇 bernady o. apduh...
6 篇 john anthony c. ...
6 篇 maria irene falc...
6 篇 chao wang
6 篇 jorge gustavo ro...
6 篇 martin schrepp
6 篇 daineko yevgeniy...
6 篇 osvaldo gervasi
6 篇 bandala argel
6 篇 ana maria a. c. ...
6 篇 beniamino murgan...
6 篇 sanjay misra

语言

1,742 篇 英文
329 篇 其他
14 篇 中文
1 篇 俄文

检索条件"任意字段=14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022"

共 2083 条记录，以下是1011-1020 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 Parallelized Genetic Algorithms approach to Community Energy systems Planning

A Parallelized Genetic Algorithms approach to Community Ener...

引用

international conference on Computational Intelligence and communication networks (CICN)

作者： Safae Bourhnane Simon Abongmbo Lei Fan Jian Shi Carlos Gamarra Mohamed Riduan Abid Muhammad Anan Driss Benhaddou School of Science and Engineering Al Akhawayn University in Ifrane Ifrane Morocco College of Technology University of Houston Houston Texas USA Houston Advanced Research Center Houston Texas USA TSYS School of Computer Science Columbus State University GA USA College of Engineering Alfaisal University Riyadh Saudi Arabia

ISBN: (纸本)9781665487726

Optimization is being applied to a large number of disciplines and fields when there is an interest in finding the best solution among all the feasible solutions. It can be implemented through several methods. Genetic Algorithms are a case in point. they are mainly used for the energy resources scheduling problems as they help selecting the best schedule using a fitness function. Genetic algorithms are very useful for optimization problems with thousands of potential solutions, but, at the same time, their execution usually takes a long time. Hence, there is a need to look into potential performance improvements. In this paper, we are presenting the use of Genetic Algorithms as an optimization technique in a research project that performs the economic feasibility analysis for the integration of renewable energies into different types of buildings as part of the energy community system's planning. the outcome of the project is meant for non-technical users with limited technical knowledge who will be submitting their requests and expecting an output in a relatively short period of time. the performance of the tool is crucial for a satisfactory user experience. In order to overcome this issue, the work presented in this paper investigates the use of parallelization and distributed computing to decrease the overall response time. this process is double-fold: it requires making the code parallelizable and then running it in a cluster of distributed computers. In this work, we present the results of deploying the algorithms without parallelization and compare them to the results obtained when applying the parallelization. the results show that the parallelization has a great impact on the response time as it significantly drops.

关键词： Economics Computers Codes Sociology User experience Time factors Statistics

来源：评论

学校读者我要写书评

暂无评论

Identifiability of Causal-based ML Fairness Notions

Identifiability of Causal-based ML Fairness Notions

引用

international conference on Computational Intelligence and communication networks (CICN)

作者： Karima Makhlouf Sami Zhioua Catuscia Palamidessi INRIA Ecole Polytechnique Palaiseau France

ISBN: (纸本)9781665487726

Machine learning algorithms can produce biased outcome/prediction, typically, against minorities and under-represented sub-populations. therefore, fairness is emerging as an important requirement for the safe application of machine learning based technologies. the most commonly used fairness notions (e.g. statistical parity, equalized odds, predictive parity, etc.) are observational and rely on mere correlation between variables. these notions fail to identify bias in case of statistical anomalies such as Simpson's or Berkson's paradoxes. Causality-based fairness notions (e.g. counterfactual fairness, no-proxy discrimination, etc.) are immune to such anomalies and hence more reliable to assess fairness. the problem of causality-based fairness notions, however, is that they are defined in terms of quantities (e.g. causal, counterfactual, and path-specific effects) that are not always measurable. this is known as the identifiability problem and is the topic of a large body of work in the causal inference literature. the first contribution of this paper is a compilation of the major identifiability results which are of particular relevance for machine learning fairness. To the best of our knowledge, no previous work in the field of ML fairness or causal inference provides such systemization of knowledge. the second contribution is more general and addresses the main problem of using causality in machine learning, that is, how to extract causal knowledge from observational data in real scenarios. this paper shows how this can be achieved using identifiability.

关键词： Machine learning algorithms Correlation Machine learning Reliability Data mining communication networks Computational intelligence

来源：评论

学校读者我要写书评

暂无评论

Fake News Detection Using Machine Learning Models

Fake News Detection Using Machine Learning Models

引用

international conference on Computational Intelligence and communication networks (CICN)

作者： Malak Aljabri Dorieh M. Alomari Menna Aboulnour Department of Computer Science College of Computer and Information Systems Umm Al-Qura University Makkah Saudi Arabia Department of Computer Science College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Department of Computer Engineering SAUDI ARAMCO Cybersecurity Chair College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Department of Computer Science SAUDI ARAMCO Cybersecurity Chair College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

ISBN: (纸本)9781665487726

Nowadays, with the widespread use of technology, fake news and rumors are spreading too. People and society are greatly impacted by fake news, which also can be used as phishing attempts and a way of stealing their information. In many areas of our lives, Artificial Intelligence (AI) and Machine Learning (ML) have demonstrated their effectiveness. Furthermore, Natural Language Processing (NLP) has shown promising results in text classification applications. In this study, we proposed an experimental study for detecting fake news using ML models. the proposed model analyzes the main text of the news using NLP techniques and then classifies the news into fake or real news. We used a new dataset that combined multiple fake news datasets. Moreover, we studied the impact of features extraction methods on the performance of the developed models. Eight experiments were performed using Random Forest (RF) and Support Vector Machines (SVM) models, each with a different features extraction technique. the SVM model resulted in the best performance with an accuracy level of 98%. this result proves the model ability to be deployed and used in real-world with high reliability, to detect fake news.

关键词： Support vector machines Radio frequency Machine learning algorithms Phishing Text categorization Feature extraction Natural language processing

来源：评论

学校读者我要写书评

暂无评论

If You Are Careful, So Am I! How Robot Communicative Motions Can Influence Human Approach in a Joint Task 14th

If You Are Careful, So Am I! How Robot Communicative Motions...

引用

14th international conference on Social Robotics (ICSR) - Social Robots for Assisted Living and Healthcare, Emphasizing on the Increasing Importance of Social Robotics in Human Daily Living and Society

作者： Lastrico, Linda Duarte, Nuno Ferreira Carfi, Alessandro Rea, Francesco Mastrogiovanni, Fulvio Sciutti, Alessandra Santos-Victor, Jose Italian Inst Technol Robot Brain & Cognit Sci Dept RBCS Genoa Italy Univ Genoa Dept Informat Bioengn Robot & Syst Engn DIBRIS Genoa Italy Univ Lisbon Inst Super Tecn Inst Syst & Robot ISR Lisbon Portugal Italian Inst Technol Cognit Architecture Collaborat Technol Unit CONTA Genoa Italy

ISBN: (纸本)9783031246661;9783031246678

As humans, we have a remarkable capacity for reading the characteristics of objects only by observing how another person carries them. Indeed, how we perform our actions naturally embeds information on the item features. Collaborative robots can achieve the same ability by modulating the strategy used to transport objects with their end-effector. A contribution in this sense would promote spontaneous interactions by making an implicit yet effective communication channel available. this work investigates if humans correctly perceive the implicit information shared by a robotic manipulator through its movements during a dyadic collaboration task. Exploiting a generative approach, we designed robot actions to convey virtual properties of the transported objects, particularly to inform the partner if any caution is required to handle the carried item. We found that carefulness is correctly interpreted when observed through the robot movements. In the experiment, we used identical empty plastic cups;nevertheless, participants approached them differently depending on the attitude shown by the robot: humans change how they reach for the object, being more careful whenever the robot does the same. this emerging form of motor contagion is entirely spontaneous and happens even if the task does not require it.

关键词： Communicative robots' movement Implicit communication Generative adversarial networks Robots' motion generation Objects' manipulation Human-robot interaction

来源：评论

学校读者我要写书评

暂无评论

Text Mining on Hospital Stay Durations and Management of Sickle Cell Disease Patients

Text Mining on Hospital Stay Durations and Management of Sic...

引用

international conference on Computational Intelligence and communication networks (CICN)

作者： Mohammed Gollapalli Latifa Alabdullatif Farah Alsuwayeh Moodhi Aljouali Alhanoof Alhunief Zaina Batook Department of Computer Information Systems CCSIT Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Department of Computer Engineering CCSIT Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

ISBN: (纸本)9781665487726

Sickle cell disease (SCD) is a genetic blood disorder characterized by clumping of red blood cells, preventing blood and oxygen from reaching all parts of the body. SCD disease is very common in Sub-Saharan Africa, the Mediterranean basin, and the eastern regions of Saudi Arabia due to high consanguineous marriage practices. Patients are frequently admitted due to the prevalence of multiple organ damage among SCD patients as a result of repeated vascular occlusion, resulting in a large amount of medical notes recorded by doctors and nurses during each clinical trial. In this study, 12 years of SCD patient de-identified data (2018–2020) were obtained officially from the hospital and experimented with in relation to SCD patient medical notes. We used a text mining framework to analyze and predict the length of stay (LoS) of SCD patients using three machine learning (ML) models: XGBoost, Decision Tree, and KNN. the most frequently occurring words were extracted from 62,847 SCD medical screening records using text mining. Furthermore, feature models were created to investigate the effect of increasing or decreasing the number of terms on model performance. the XGBoost algorithm produced the best results, with 94.3% accuracy, while the other algorithms produced results of 93.5% for Decision Tree and 90.7% for KNN. the findings suggest that predicting the length of stay of SCD patients is highly feasible, allowing for better utilization of medical personnel and resources.

关键词： Text mining Machine learning algorithms Hospitals Red blood cells Machine learning Predictive models Prediction algorithms

来源：评论

学校读者我要写书评

暂无评论

Enhancing Social Media Accessibility: Automatic Alternative Text Generation in X by Image Captioning

Enhancing Social Media Accessibility: Automatic Alternative ...

引用

IEEE international conference on System Engineering and Technology

作者： Jessica Lynn Wibowo Gabriel Seemore Gunawan Ivan Sebastian Edbert Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331504526

ISBN: (纸本)9798331504533

In the contemporary digital landscape, social media’s reliance on visual content poses significant accessibility barriers for individuals with visual impairments, sidelining a substantial user base. this study applies Artificial Intelligence to improve accessibility on social media by automating alternative text generation for images on platform X (formerly Twitter). the Generative Image-to-text Transformer (GIT) model is analyzed and then integrated with the Twitter API. Using the Flickr30k dataset, further fine-tuning and evaluation processes are performed on the model. Concurrently, the model demonstrates higher accuracy of 106% over the baseline VGG model as quantified by ROUGE metrics. the results confirm our model’s capability to produce descriptive and contextually relevant captions that significantly enhance accessibility for visually impaired users. Furthermore, the integration of this AI-driven solution into social media platforms showcases the practical application of advanced machine learning techniques in addressing real-world accessibility challenges. this research highlights the potential of AI to transform digital communication, making it more inclusive and ensuring that visually impaired users can fully participate in the social media experience.

关键词： Measurement Visualization Social networking (online) Blogs Visual impairment Neural networks Transforms Transformers systems engineering and theory Natural language processing

来源：评论

学校读者我要写书评

暂无评论

Game theoretic Traffic Scheduling and Hybrid QoS-Aware Routing in Software Defined Satellite networks

Game Theoretic Traffic Scheduling and Hybrid QoS-Aware Routi...

引用

international conference on Wireless communications and Signal Processing (WCSP)

作者： Jianan Du Chaowei Wang Cheng Wang Fan Jiang Weidong Wang School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China Shaanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts and Telecommunications Xi'an China School of Communications and Information Engineering Xi'an University of Posts and Telecommunications Xi'an China

ISBN: (纸本)9781665450867

With large capacity, global coverage and highly dynamic topology, satellite communication has become an important part of space-terrestrial integrated networks. Boosted by the rapid development of networking technology and the increasing demand for massive mobile data, traffic scheduling and routing under variant quality of services (QoS) requirements are vital for the network performance. this paper proposes traffic scheduling based on super modular game to balance the capacity and fairness. We also propose a hybrid traffic-aware routing scheme in the multi-layer satellite software defined network (SDSN), which consists of the in-orbit-forwarding-first routing algorithm based on virtual topology for delay/bandwidth-sensitive traffic and link-weighted routing algorithm for non-delay-sensitive traffic. Simulation results demonstrate that the proposed scheme achieves improved performance in terms of average end-to-end delay, packet loss and throughput.

关键词： Satellites Network topology Simulation Software algorithms Signal processing algorithms Quality of service Games

来源：评论

学校读者我要写书评

暂无评论

Integration of Data Center Network Technologies VxLAN, BGP, EVPN

Integration of Data Center Network Technologies VxLAN, BGP, ...

引用

international conference on communications (COMM)

作者： Adriana-Elena Ră doi Cristian-Iulian Rincu Department of Communications and Military Electronic Systems Military Technical Academy Bucharest Romania

the implementation of network overlays, such as Virtual eXtensible Local Area Network (VXLAN) as the data plane and Border Gateway Protocol/Ethernet VPN (BGP/EVPN) as the control plane for virtual network distribution[5], plays an important role in the integration of VXLAN BGP EVPN technologies in modern Data Centers, allowing a better flow control over the network. With this regard, the enhancement of dedicated networks, and, furthermore, of switching and routing capabilities has been achieved, thereby reducing the costs of device-by-device implementation and management towards a more centralized, integrated system. this paper presents the new network architecture, along with its related protocols, not only for control plane, but also for data plane, demonstrating the need to replace the traditional network architectures and protocols, such as Spanning Tree Protocol and vPC.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Statistical CSI-based Beamforming Design for Massive MIMO-enabled URLLC networks

Statistical CSI-based Beamforming Design for Massive MIMO-en...

引用

international conference on Wireless communications and Signal Processing (WCSP)

作者： Ruizhe Wang Hong Ren Cunhua Pan Nan Liu National Mobile Communications Research Laboratory Southeast University Nanjing China

ISBN: (纸本)9781665450867

Industrial internet of things (IIoT) networks need to support the simultaneous communications of massive devices with stringent requirements of ultra-high reliability and low latency. Due to its excessive amount of spatial degrees of freedom, massive multiple-input multiple-output (MIMO) technology can provide reliable services for multiple devices using the same time and frequency resources. In this paper, we consider the transmission design for a massive MIMO-enabled URLLC network. To reduce the pilot overhead, we develop an algorithm to design the precoding matrix that only relies on statistical CSI. Meanwhile, by taking into account the outage probabilities of all devices, the transmit power at the BS is minimized. By using decomposition-based large deviation inequality, the original outage probability constraint is converted into a series of second-order cone (SOC) constraints, which can be efficiently solved. Simulation results demonstrate the low complexity of our proposed algorithm, and also show that the transmit power decreases with the number of antennas.

关键词： Wireless communication Simulation Precoding Transmitting antennas Signal processing algorithms Ultra reliable low latency communication Probability

来源：评论

学校读者我要写书评

暂无评论

Dynamic Clustering and Data Aggregation for the Internet-of-Underwater-things networks

Dynamic Clustering and Data Aggregation for the Internet-of-...

引用

international conference on Computational Intelligence and communication networks (CICN)

作者： Kenechi G. Omeke Michael Mollel Syed Tariq Shah Kamran Arshad Lei Zhang Qammer H. Abbasi Muhammad Ali Imran James Watt School of Engineering University of Glasgow Glasgow United Kingdom Ajman University United Arab Emirates

ISBN: (纸本)9781665487726

Advances in semiconductor technology have made it possible to have high processing powers in cheap microcontrollers, which is spawning off a revolution in the range of applications of the Internet-of-things (IoT) and its underwater counterpart, the Internet-of-Underwater-things (IoUT). As a result, it has now become possible and cost effective to implement powerful data processing algorithms on very cheap microcontrollers and achieve network intelligence on edge devices. In this paper, we evaluate the impact of implementing an unsupervised machine learning technique based on the k-means algorithm, as well as data aggregation, on the performance of a wireless underwater sensor network. A clustering algorithm based on the k-means algorithm is used to divide the network into clusters and to select cluster heads based on network topology and residual energy. Each cluster head collects and aggregates data from nodes within its cluster's coverage and forwards the data to the sink. the network is deployed in a shallow seabed, and it is assumed that the nodes can reach the sink using their full transmission powers. Hence, the performance evaluation compares the sum-throughput, energy efficiency and coverage probability for direct transmissions to the sink against transmissions using the cluster heads. We also propose a special consideration for disaster early warning data, which packets are assigned priority delivery and handled with minimum delay. the evaluation is performed through computer simulations and the results show over a 100% improvement in throughput for clusterbased transmissions compared to direct transmissions.

关键词： Wireless communication Performance evaluation Wireless sensor networks Machine learning algorithms Microcontrollers Clustering algorithms Data aggregation

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209页 << < 98 99 100 101 102 103 104 105 106 107 > >>

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：