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

60,465 篇 会议
2,738 篇 期刊文献
992 册 图书
12 篇 学位论文
1 件 标准
1 篇 专利
1 篇 科技报告

馆藏范围

64,210 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

32,698 篇 工学
- 26,903 篇 计算机科学与技术...
- 15,210 篇 软件工程
- 11,107 篇 信息与通信工程
- 5,597 篇 电气工程
- 3,642 篇 控制科学与工程
- 2,799 篇 电子科学与技术（可...
- 1,188 篇 动力工程及工程热...
- 1,063 篇 机械工程
- 895 篇 仪器科学与技术
- 874 篇 生物工程
- 666 篇 生物医学工程（可授...
- 493 篇 安全科学与工程
- 470 篇 光学工程
- 464 篇 交通运输工程
- 453 篇 网络空间安全
- 423 篇 建筑学
- 325 篇 材料科学与工程（可...
- 322 篇 土木工程
8,451 篇 理学
- 5,956 篇 数学
- 1,471 篇 统计学（可授理学、...
- 1,183 篇 系统科学
- 1,122 篇 物理学
- 1,040 篇 生物学
5,394 篇 管理学
- 3,931 篇 管理科学与工程(可...
- 1,960 篇 工商管理
- 1,708 篇 图书情报与档案管...
780 篇 法学
- 496 篇 社会学
612 篇 医学
- 464 篇 临床医学
- 398 篇 基础医学(可授医学...
575 篇 经济学
- 572 篇 应用经济学
202 篇 文学
187 篇 农学
160 篇 教育学
107 篇 军事学
18 篇 艺术学
2 篇 哲学

主题

7,054 篇 computer network...
4,661 篇 computer archite...
4,373 篇 computer science
4,157 篇 distributed comp...
3,697 篇 wireless sensor ...
2,958 篇 application soft...
2,777 篇 protocols
2,574 篇 computational mo...
2,300 篇 hardware
2,267 篇 neural networks
2,191 篇 bandwidth
2,152 篇 delay
2,139 篇 distributed comp...
2,036 篇 routing
1,849 篇 costs
1,608 篇 intelligent netw...
1,601 篇 resource managem...
1,507 篇 network topology
1,422 篇 control systems
1,401 篇 ip networks

机构

93 篇 school of comput...
66 篇 ibm thomas j. wa...
60 篇 department of co...
59 篇 department of co...
49 篇 school of comput...
45 篇 school of electr...
36 篇 school of comput...
36 篇 department of sy...
32 篇 college of compu...
32 篇 department of el...
29 篇 inria
29 篇 school of comput...
29 篇 department of el...
28 篇 department of el...
28 篇 ibm thomas j. wa...
28 篇 department of co...
27 篇 department of el...
27 篇 department of sy...
27 篇 department of co...
27 篇 shandong provinc...

作者

50 篇 m. takizawa
26 篇 kowalski dariusz...
26 篇 li li
25 篇 santoro nicola
25 篇 s.k. das
24 篇 yu wang
23 篇 k.g. shin
23 篇 kuhn fabian
23 篇 peleg david
23 篇 p.k. srimani
23 篇 jun wang
23 篇 klaus wehrle
23 篇 duato j.
22 篇 dhabaleswar k. p...
22 篇 l.m. ni
21 篇 sens pierre
21 篇 xiaodong lu
19 篇 guohong cao
19 篇 y. shibata
18 篇 torsten hoefler

语言

63,155 篇 英文
606 篇 其他
411 篇 中文
51 篇 葡萄牙文
7 篇 法文
4 篇 西班牙文
3 篇 德文
3 篇 日文
3 篇 俄文

检索条件"任意字段=International Symposium on Computer Networks and Distributed Systems"

共 64211 条记录，以下是121-130 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：

Confidence-Based Trustscoring System for Identification of Secure Agent Platforms

Confidence-Based Trustscoring System for Identification of S...

引用

2025 international Conference on Multi-Agent systems for Collaborative Intelligence, ICMSCI 2025

作者： Joseph, Adri Jovin John Marikkannu, P. Mariappan, Marikkannan Sri Ramakrishna Institute of Technology Department of Information Technology Coimbatore India Anna University Department of Information Technology Regional Campus Coimbatore Coimbatore India Government College of Engineering Department of Computer Science and Engineering Erode India

ISBN: (纸本)9798331509828

Autonomous mobile agent systems can accomplish multiple tasks in an asynchronous and dynamic manner in platforms where there is excessive network load, network interruption and in slow networks. However, the decisions and execution depend on the platforms visited by the agents. Since the platforms may influence the decisions made by the agents, it is crucial that the trustable platforms are selected. Trust score is one parameter that helps mobile agents to select the appropriate platform. This work proposes a minor modification of the existing trust score calculation which has a significant impact on the safety and performance of mobile agent systems when deployed in a conventional distributed environment or in a modern cloud environment for completion of tasks. This work introduces a confidence-based approach for the five parameters namely persistence, competence, reputation, credibility, integrity which determine the trust score. This will provide a clear decision-making environment for the mobile agents to choose an appropriate platform. © 2025 IEEE.

关键词： Cloud platforms

来源：评论

学校读者我要写书评

暂无评论

SWFEM: Sparse Weighted Fine-Tuned Ensemble Model for Leaf Disease Detection 11th

SWFEM: Sparse Weighted Fine-Tuned Ensemble Model for Leaf D...

引用

11th international symposium on Applied Computing for Software and Smart systems, ACSS 2024

作者： Paul, Rakesh Ghosh, Susobhan Ghosh, Mridul Obaidullah, Sk Md Roy, Kaushik Department of Computer Science Debra Thana S. K. S Mahavidyalaya Debra India Department of Computer Science Dinabandhu Mahavidyalaya Bongaon India Department of Computer Science Shyampur Siddheswari Mahavidyalaya Howrah India Department of Computer Science and Engineering Aliah University Kolkata India Department of Computer Science West Bengal State University Barasat India

ISBN: (纸本)9789819797615

Globally, the greatest concerns of farmers are plant diseases. A considerable loss of yield has an immediate impact on the economy. Machine learning models exhibited capabilities to detect plant diseases. To enhance the generalization, flexibility, and adaptability of machine learning models, an ensemble model was introduced to combine many models and produce an appropriate and optimal predictive solution. To achieve better accuracy in deep learning models, it is necessary to have a significant amount of training time and memory resources. This is frequently utilized in engineering fields. Nowadays, the computational burden of training multiple independent networks increases with the growing number of deep learning models. To address these computational challenges, we introduced pruning and tuning-based fast, cost-effective sparse ensemble networks. The popularity of sparse architecture has increased because of its low memory requirements and faster inference rates. To identify an appropriate subset of ensemble members to build a smaller ensemble model, pruning is used to refrain from retraining the model. To achieve this, we first trained a base network. After that, we clone the parent network and drastically reduce each child’s features to generate an ensemble of members with various topologies. We soon trained each successor network for a smaller number of epochs. An empirical investigation demonstrated how well our method works on the pruned ensemble model. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Agriculture Deep learning Leaf disease Sparse fine-tuned ensemble

来源：评论

学校读者我要写书评

暂无评论

Comprehensive Survey of Audio-to-Text Conversion 8th

Comprehensive Survey of Audio-to-Text Conversion

引用

8th international symposium on Intelligent Informatics, ISI 2023

作者： Parthasarathi, Aishwarya Banu, Almas Joshi, Ashwini Department of Computer Science and Engineering PES University Bengaluru India

ISBN: (纸本)9789819721467

Internet has undergone a remarkable evolution, reshaped numerous aspects of our world, and left an indelible mark on society. The Internet has unveiled a new era of rapid and accessible interaction, redefining how we connect and converse. In this paper, our objective is to explore various methodologies employed for the conversion of speech into text. The paper embarks on a journey through the historical evolution of audio-to-text conversion, tracing its roots from rudimentary systems to the current state-of-the-art models. This review dissects what are features of audio-to-text conversion and how machine learning models and neural networks influence this process. We have explored various tools and evaluation metrics which are available for the same process. This review further dissects the real-world applications of audio-to-text conversion, domains such as transcription services, voice assistants, and accessibility technologies. It explores the challenges and open research questions on this topic. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Cybersecurity Threat Detection in Smart Cities using Box Plot Sampling Isolation Forest 1

Cybersecurity Threat Detection in Smart Cities using Box Plo...

引用

1st international Conference on Intelligent systems and Computational networks, ICISCN 2025

作者： Shankari, S. Uma Mohameed, Haeedir Kulkarni, Megha Aravindh, S. Purushotham, N. Srm Institute of Science and Technology Department of Computer Science and Applications Ramapuram India The Islamic University of Al Diwaniyah College of Technical Engineering Department of Computers Techniques Engineering Al Diwaniyah Iraq Nitte Meenakshi Institute of Technology Department of Civil Engineering Bengaluru India New Prince Shri Bhavani College of Engineering and Technology Department of Mechanical Engineering Chennai India Mohan Babu University Department of Computer Science and Engineering Tirupati India

ISBN: (纸本)9798331529246

Now a days, the standard of living in urban areas is advanced by leveraging technologies such as Cyber-Physical systems (CPS) and Internet of Things (IoT) with physical infrastructures. However, smart cities highly rely on digital ecosystems, which makes them vulnerable to various cyber threats such as distributed Denial of Service (DDoS) which leads in violations of privacy and threats to safety of citizens. To develop an effective and efficient system for detection of cybersecurity threats, Box plot Sampling Isolation Forest (BSIF) is proposed. Initially, the data was collected from the Botnet Traffic attack in Internet of Things (BoT-IoT) dataset which contains various normal traffic and Botnet traffic data. After that, Label Encoding (LE) was used for preprocessing the data, which assigns numerical labels to each category in the dataset. Furthermore, Recursive Feature Elimination (RFE) technique was utilized for iterative extraction and selection of features based on their weights is performed by Decision Tree (DT). Finally, the proposed BSIF model is used for detection of cybersecurity threats associated with smart cities, by leveraging box plot sampling method. The proposed obtain better results with 99.74% Precision, 99.92% Accuracy, 99.87% Recall and 99.84% F1-score, compared with Smart Attacks Learning Machine Advisor (SALMA) respectively. © 2025 IEEE.

关键词： Bot (Internet)

来源：评论

学校读者我要写书评

暂无评论

Tandem Retrial Queueing System with Markovian Arrival Process and Common Orbit 27th

Tandem Retrial Queueing System with Markovian Arrival Proce...

引用

27th international Conference on distributed computer and Communication networks, DCCN 2024

作者： Klimenok, V.I. Vishnevsky, Vladimir Department of Applied Mathematics and Computer Science Belarusian State University Minsk220030 Belarus V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences 65 Profsoyuznaya Street Moscow117997 Russia

ISBN: (纸本)9783031808524

In the current paper, a retrial tandem queueing system consisting of two stations in series is investigated. Each station is represented by a single server and a limited size buffer. Customers arrive at the first station according to a Markovian Arrival Process (MAP). The service time at the first and the second server has a Phase type (PH) distribution. The novelty of the model under consideration is the presence of a common orbit for blocked customers both at the first and second stations. Unlike other few studies of retrial tandem systems with a common orbit, our model is more general and we obtain analytical results using matrix-analytic technique. We derive the sufficient conditions for existence and absence of the stationary regime in the system, calculate the steady-state distribution of the number of customers in the orbit and at the stations and derive formulas for the most significant performance measures. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Queueing networks

来源：评论

学校读者我要写书评

暂无评论

TLMMChain: Blockchain-Based Hierarchical Security Management Scheme for Three-Level Mobility Model in Next-Generation networks 5th

TLMMChain: Blockchain-Based Hierarchical Security Management...

引用

5th international Ethical Hacking Conference, eHaCON 2024

作者： Chakraborty, Mohuya Palit, Sudip Kumar Cybersecurity Centre of Excellence Institute of Engineering and Management University of Engineering and Management Kolkata India Department of Computer Science and Engineering Institute of Engineering and Management University of Engineering and Management Kolkata India

ISBN: (纸本)9789819784561

This paper focuses on the security aspects of the Three-level Mobility Model (TLMM) in the next-generation networks. Prior research has indicated that hierarchical architectures outperform other network topologies in terms of handoff delay, location update, and signaling overhead in mobile networks. The optimality test of the time-bandwidth product proved the supremacy of the three-tiered architecture of mobile networks in literature. However, earlier works of TLMM have not addressed the security issues. Designing a security protocol for TLMM is therefore the goal of this research. Our solution to the current research gap is a lightweight blockchain-based security protocol that can be used for local, regional, and global mobility. The work’s uniqueness resides in its proposal of a protocol to establish a peer-to-peer network where users can communicate with the data stored in a secure distributed ledger, reducing the amount of duplicate information that users must transfer. The implementation of blockchain technology is done using Hyperledger Composer and Hyperledger Fabric. Burrows-Abadi–Needham (BAN) logic has been used in the formal security verification of the suggested system to provide mutual authentication among the participants. Furthermore, the suggested model performs noticeably better than the other current systems by providing thirteen distinct security characteristics, requiring less processing time (about 8 ms) and communication overhead (around 2832 bits). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Mobile telecommunication systems

来源：评论

学校读者我要写书评

暂无评论

14th EAI international Conference on Wireless and Satellite systems, WiSATS 2024

14th EAI International Conference on Wireless and Satellite ...

引用

14th EAI international Conference on Wireless and Satellite systems, WiSATS 2024

ISBN: (纸本)9783031862021

The proceedings contain 62 papers. The special focus in this conference is on Wireless and Satellite systems. The topics include: A DQN-Based Routing Algorithm for Load Balancing in LEO Satellite networks;design of Satellite Network Simulation Platform Supporting distributed Controller;Direct to Cell VLEO SatCom System Provide Low E2E Latency in STIN;dynamic Beam Optimization and Interference Mitigation Methods for Multi-beam Satellite systems;federated Learning-Based Cross-layer Security Design for Satellite networks;DRL Based Secure Optimization for RIS Aided SATINs with RSMA;Research on the Signal Detection in an Uplink Ground-to-Satellite UDC-FSO System with Optical Path Difference;a High Precision Satellite Beam Agility Control Method;design of an Electro-Optical Hybrid Switching Architecture for Satellite Internet;genetic Algorithm-Based Inter-Satellite Link Establishment and Routing Scheme for Satellite networks;Kolmogorov-Arnold networks Based Signal Detection for OTFS systems in LEO Satellite Communications;Joint Computation Offloading and Resource Allocation for Low-Earth Orbit Satellites MEC networks;key Technologies and Future Developments in the Design of Spaceborne Digital Transparent Processors;A Solution to the Problem of Retail Credit Risk Pricing Problem Based on the Machine Learning XGBoost Algorithm;a Cooperative Spectrum Sensing Method Based on Feature Extraction and Fusion Clustering;An Optimized Design of Golden Angle Modulation SCMA Codebook Based on Genetic Algorithms;Bidirectional Backscatter NOMA Schemefor Efficient CDRT systems;Joint Equalization and Multi-phase Tracking Based on MCC Criterion for Underwater Acoustic Communication;ISAC Beamforming in Connected Autonomous Vehicles;Model-Driven Deep Learning for MIMO Signal Detection;integrated Sensing and Communication Empowered Secure Computation Offloading in Integrated Satellite-Terrestrial networks;Rotator-Aided RIS Beam Stabilization Method in UAV Communications;A Massive MIMO Antenna

关键词：

来源：评论

学校读者我要写书评

暂无评论

14th EAI international Conference on Wireless and Satellite systems, WiSATS 2024

14th EAI International Conference on Wireless and Satellite ...

引用

14th EAI international Conference on Wireless and Satellite systems, WiSATS 2024

ISBN: (纸本)9783031861956

关键词：

来源：评论

学校读者我要写书评

暂无评论

Traffic sign recognition based on CNN vs different transfer learning techniques 5

Traffic sign recognition based on CNN vs different transfer ...

引用

5th symposium on Pattern Recognition and Applications, SPRA 2024

作者： Ghouse, Mohammed Farag, Saber Butt, Usman Engineering and Environment Dep. Northumbria University London United Kingdom Computer and Information Science Dep. British University in Dubai Dubai United Arab Emirates

ISBN: (数字)9781510688803

ISBN: (纸本)9781510688797

Traffic sign detection and recognition (TSDR) is a pivotal component of contemporary transportation systems, designed to enhance road safety and operational efficiency. In an era where automation is indispensable, TSDR stands out as a critical tool for optimizing driving experiences. This study presents the development of a TSDR model employing advanced deep learning techniques, with a particular emphasis on convolutional neural networks (CNNs). Utilizing the German Traffic Sign Recognition Benchmark (GTSRB) dataset, which comprises annotated images of various traffic signs captured under diverse environmental conditions, we achieved remarkable results. Our CNN models demonstrated a 99% detection rate, underscoring their efficacy in traffic sign recognition tasks. Furthermore, transfer learning models yielded impressive accuracies, with VGG19 achieving 99.64%, EfficientNetB7 reaching 99%, and ASNet attaining 99.72%. Despite these promising results, we identified several limitations, including dataset-specific dependencies and the need for further enhancements in model design and training methodologies. Addressing these challenges is necessary for ensuring the robustness and reliability of intelligent transportation systems, thereby significantly improving road traffic management, safety, and efficiency. Copyright © 2025 SPIE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Multi-domain CSI-based Indoor Localization with Deep Attention networks for MIMO JCAS system 5

Multi-domain CSI-based Indoor Localization with Deep Attenti...

引用

5th IEEE international symposium on Joint Communications and Sensing, JC and S 2025

作者： Mukherjee, Anirban Susarla, Praneeth Katragunta, Pravallika Bulusu, S. S. Krishna Chaitanya Silven, Olli Juntti, Markku Jayagopi, Dinesh Babu Lopez, Miguel Bordallo International Institute of Information Technology Bangalore Multimodal Perception Lab Bangalore560100 India University of Oulu Center for Machine Vision and Signal Analysis Oulu90570 Finland Carleton University Department of Computer Science Ottawa Canada University of Oulu Centre for Wireless Communications Oulu90570 Finland

ISBN: (纸本)9798331531652

Indoor localization is essential for future 6G systems that combine communication and sensing. Accurate positioning is vital for applications like augmented reality and autonomous robotics. In this context, we propose a multi-domain channel state information (CSI)-based localization approach using deep attention networks (DAN) in a massive multiple input multiple output-based (maMIMO) system. We introduce the extraction of features from CSI information in multiple domains, including time, frequency, and Doppler, and design uni-domain and multidomain feature sets. We implement the proposed DAN approach leveraging attention mechanisms to integrate and effectively process the multi-domain CSI data. We evaluate the performance of our model using a publicly available maMIMO dataset and compare it with baseline convolutional neural network (CNN) models. Our results indicate that the DAN-based approach enhances localization performance more than uni-domain, multidomain CNN models and also existing multi-domain-based CNN benchmarks. These findings highlight the benefits of using multidomain features, especially from the Doppler domain along with attention mechanisms for reliable indoor localization. © 2025 IEEE.

关键词： 5G mobile communication systems

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 << < 9 10 11 12 13 14 15 16 17 18 > >>

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：