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

4,215 篇 会议
85 篇 期刊文献
21 册 图书

馆藏范围

4,321 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,876 篇 工学
- 2,406 篇 计算机科学与技术...
- 1,339 篇 软件工程
- 624 篇 电气工程
- 540 篇 信息与通信工程
- 353 篇 控制科学与工程
- 150 篇 机械工程
- 121 篇 动力工程及工程热...
- 113 篇 电子科学与技术（可...
- 76 篇 生物工程
- 60 篇 仪器科学与技术
- 55 篇 石油与天然气工程
- 54 篇 环境科学与工程（可...
- 51 篇 材料科学与工程（可...
- 50 篇 建筑学
- 50 篇 生物医学工程（可授...
- 47 篇 光学工程
- 46 篇 交通运输工程
- 44 篇 安全科学与工程
637 篇 理学
- 370 篇 数学
- 136 篇 物理学
- 96 篇 生物学
- 92 篇 统计学（可授理学、...
- 90 篇 系统科学
- 43 篇 化学
512 篇 管理学
- 352 篇 管理科学与工程(可...
- 202 篇 图书情报与档案管...
- 193 篇 工商管理
70 篇 医学
- 56 篇 临床医学
67 篇 法学
- 50 篇 社会学
52 篇 经济学
- 52 篇 应用经济学
31 篇 教育学
12 篇 农学
12 篇 军事学
4 篇 文学
1 篇 艺术学

主题

221 篇 distributed comp...
218 篇 distributed comp...
82 篇 computer archite...
78 篇 distributed data...
72 篇 computer science
69 篇 cloud computing
68 篇 computer network...
64 篇 application soft...
60 篇 grid computing
60 篇 distributed syst...
53 篇 middleware
51 篇 protocols
48 篇 concurrent compu...
47 篇 real time system...
47 篇 distributed powe...
42 篇 costs
41 篇 scalability
41 篇 database systems
40 篇 delay
39 篇 distributed cont...

机构

9 篇 distributed syst...
7 篇 irisa rennes
7 篇 3-30-1 wajiro-hi...
6 篇 shanghai jiao to...
5 篇 tsinghua univ de...
5 篇 ieee
5 篇 carnegie mellon ...
5 篇 beijing univ pos...
5 篇 department of in...
4 篇 ocean univ china...
4 篇 china electric p...
4 篇 beijing univ pos...
4 篇 seikei universit...
4 篇 sun yat-sen univ...
4 篇 key laboratory o...
4 篇 school of inform...
4 篇 school of softwa...
4 篇 univ nacl san ju...
4 篇 beijing universi...
4 篇 key laboratory o...

作者

14 篇 dustdar schahram
12 篇 barolli leonard
11 篇 xhafa fatos
11 篇 anon
8 篇 takizawa makoto
5 篇 li kuan-ching
5 篇 enokido tomoya
5 篇 segundo moisés t...
5 篇 luis enrique maf...
4 篇 kulla elis
4 篇 decker christian
4 篇 ikeda makoto
4 篇 molina m. g.
4 篇 truong hong-linh
4 篇 liu feng
4 篇 yunong zhang
4 篇 dong junyu
4 篇 cristea valentin
4 篇 riedel till
4 篇 beigl michael

语言

4,224 篇 英文
82 篇 其他
24 篇 中文
1 篇 西班牙文
1 篇 法文
1 篇 俄文

检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

共 4321 条记录，以下是41-50 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：

An Adaptive Load Balancing Strategy for distributed Machine Learning 3

An Adaptive Load Balancing Strategy for Distributed Machine ...

引用

3rd international conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2023

作者： Min, Haozhe Xue, Meiting Zhu, Weibo Zeng, Yan Zhao, Nailiang Zhang, Jilin Hangzhou Dianzi University College of Cyberspace HangZhou China Hangzhou Dianzi University School of Computer Seience and Techrology HangZhou China

ISBN: (纸本)9798350302356

Within a distributed deep learning training system, variances in performance among computing nodes, as well as the influence of external environmental factors, can result in training interruptions or reduced convergence speed. As such, this paper presents an approach to address this issue by proposing a dynamic task allocation strategy among nodes, aimed at mitigating the impact of performance discrepancies on the training efficiency of distributed deep learning systems. This proposed approach is referred to as the 'Auto weight-based load balancing strategy' (Auto-WLBS) and involves dynamically adjusting the task allocation among computing nodes based on their performance characteristics. In order to maximize computing power while minimizing the lag effect on the training of the entire system, Auto-WLBS partitions and alters the errands by introductory division and halfway alteration. Combined with LSP model, AW-LSP model is proposed. Finally, a comparative experiment was conducted on the cifar10 and cifar100 datasets, and Auto-WLBS was experimentally verified from the perspective of model training loss function changes, model accuracy, and training time. The experimental findings demonstrate that compared to the BSP model, SSP model, and LSP model, the AW-LSP model has a smaller communication overhead, and the communication overhead can be reduced by up to 23.70%. Compared with the SSP model and the LSP model, the model accuracy can be improved by up to 14.5% and 8.6%, respectively. © 2023 IEEE.

关键词： computing power

来源：评论

学校读者我要写书评

暂无评论

distributed Fault Diagnosis System Based on Machine Learning 3

Distributed Fault Diagnosis System Based on Machine Learning

引用

3rd international conference on Intelligent computing, Communication and Convergence, ICI3C 2023

作者： Guan, Mengru Fu, Yanyou Wang, Zhaoyue Zhang, Jiaqian Sias University Henan China

ISBN: (纸本)9798350343922

This research focuses on the development of a machine learning-based distributed fault diagnosis system that aims to improve the accuracy and real-time detection of faults in large-scale distributed systems. By deeply analysing key information such as log data, performance metrics, and network traffic of distributed systems. we design adaptable machine learning algorithms to handle distributed environments of complexity and large scale. In our research, we pay special attention to real-time fault diagnosis to detect and diagnose faults in a timely manner by monitoring and analysing the data flow of distributed systems.in real time, thus minimising the potential impact on the system. The proposed machine learning algorithms are not only able to handle large-scale datasets efficiently, but also have the flexibility to adapt to different system architectures and network topologies, while exhibiting good scalability and robustness. In addition, we attempt to introduce an augmented learning approach to enable the fault diagnosis system to actively learn and optimise in order to maintain an efficient fault diagnosis capability in a dynamic and distributed environment. This innovative approach is expected to further improve the system's adaptability to emerging fault modes, thereby enhancing the system's intelligence and self-optimisation capabilities. Overall, this study introduces advanced techniques in machine learning for fault diagnosis in the field of distributed systems.and lays the foundation for a more accurate, real-time and intelligent fault diagnosis system. © 2023 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Troll and Abuser Identification in Social Media for Code-Mixed English, Bangla, and Banglish Text Analysis Using LLMs 3

Troll and Abuser Identification in Social Media for Code-Mix...

引用

3rd international conference on Intelligent computing and Next Generation Networks, ICNGN 2024

作者： Nezami, Mohammad Arif Nurul Huda, Mohammad Masters of Science in CSE United International University Dhaka Bangladesh Dept. of CSE & Head of Dept United International University Bangladesh Dhaka Bangladesh

ISBN: (纸本)9798331529222

Social networking platforms have become our center for daily communication. These networks removed all the barriers that used to exist by providing open platform for sharing thoughts, keeping in touch with friends, and even voicing for what we believe in. Unfortunately, this has also opened the door for trolls and online bullies to run rampant. Along with democratizing communication, these platforms have created a distinctive vocabulary, such as the widespread usage of emojis, which are particularly well-liked by younger audiences."Banglish" a hybrid language that combines Bengali and English is widely used by Bengalis around the world. It creates serious difficulties for traditional content filtering systems. This study examines how to identify trolls and abusive content in Banglish text using sophisticated large language models (LLMs), such as OpenAI GPT-4, Google Gemini, and Meta LLaMA. Our goal is to use these models to improve the security and reduce the toxicity of social media environments, ensuring a more secure online experience for all users. ©2024 IEEE.

关键词： Social networking (online)

来源：评论

学校读者我要写书评

暂无评论

The Application of Digital Empowerment Combined with Intelligent Algorithms of Computer Technology in Decision Support systems 3

The Application of Digital Empowerment Combined with Intelli...

引用

3rd international conference on Integrated Circuits and Communication systems. ICICACS 2025

作者： Lu, Wan Chen, Li Gao, Fei Wang, Chang Wuhan Windoor Information & Technology Co. Ltd Hubei Wuhan China

ISBN: (纸本)9798331508456

Traditional decision support systems.(DSS) show obvious limitations in dealing with increasingly complex and dynamic decision-making scenarios. By integrating graph neural networks (GNNs) and expert systems.(ESs), this paper constructs a new IDSS framework aimed at improving decision-making efficiency and accuracy. In terms of research methods, large-scale distributed computing is performed in the cloud based on parallel computing technology;the logical reasoning of expert systems.and the self-learning ability of graph neural networks are combined to achieve dynamic updates and efficient processing of data by unstructured knowledge bases. Compared with traditional DSS, the accuracy of IDSS based on the fusion of GNNs and ES in financial forecasting and risk assessment scenarios is improved to more than 90%, and resource utilization is significantly optimized. This study shows that the integrated application of intelligent algorithms has broad prospects in improving the dynamic adaptability of decision support systems.and coping with complex decision-making environments. © 2025 IEEE.

关键词： distributed cloud

来源：评论

学校读者我要写书评

暂无评论

Real-Time Sign Language Recognition using Machine Learning and CNN-based EfficientNetB3 for Accessible Communication 3

Real-Time Sign Language Recognition using Machine Learning a...

引用

3rd international conference on Automation, computing and Renewable systems. ICACRS 2024

作者： Mizan, Zabir Ibna Aidelkhani, Farzam Reza, Khandaker Tasfia Bhuiyan, Tanbir Hasan Alom, Munzirul Tuhin, Saiful Islam Dhaka Bangladesh Dhaka Bangladesh Dhaka Bangladesh Dhaka Bangladesh

ISBN: (纸本)9798331532420

This research analyzes the challenges faced by Sign Language Recognition (SLR) systems.by evaluating the performance of EfficientNetB3, Inception-v3, and GoogLeNet models. Using a dataset of 27,000 American Sign Language (ASL) images across 27 classes, EfficientNetB3 emerged as the top performer. After fine-tuning the model with the full dataset, it achieved a test accuracy of 99.53%. We then integrated this optimized model into a real-time, user-friendly Android app for sign language recognition, offering a valuable tool for enhancing communication accessibility, particularly for the deaf and hard-of-hearing. This research work contributes to advancing SLR and promoting inclusive communication. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Intelligent computing Techniques for Smart Energy systems. ICTSES 2023

3rd International Conference on Intelligent Computing Techni...

引用

3rd international conference on Intelligent computing Techniques for Smart Energy systems. ICTSES 2023

ISBN: (纸本)9789819784639

The proceedings contain 50 papers. The special focus in this conference is on Intelligent computing Techniques For Smart Energy systems. The topics include: Analysis of Fault and Current-Limiting Methods in the Power System;UDS for Data Communication in Temperature Monitoring;approximation in the Weighted Lipschitz Class by (C,α,θ)(E,q) Mean of Its Fourier Series;demand Response and Load Profile Analysis in Modern Electricity systems.First-Principles Study of the Structural, Optical and Electronic Properties of Zinc Blende GaN Through PBEsol and TB-mBJ Functionals;optimization-Based Cost Analysis for Energy Management System in Microgrids;classification and Prediction of Knee Osteoarthritis by Deep Learning Approach;Predicting Stock Price and Market Direction Using Statistical and LSTM Models;Comprehensive Evaluation of Time Management with Balancing Resistors in Passive Cell Balancing Using the 1RC Model;PAWnnect: Pioneering IoT-ML Driven Pet Monitoring;transactive Energy Management for Microgrids: Peer-To-Peer Trading Using Stackelberg Game Approach;Unravelling the Mind's Emotions: A Review of EEG-Based Emotion Detection Using Machine Learning and Deep Learning;unlocking IoT Security: Enabling the Future with Lightweight Cryptographic Ciphers;Optimal Design of Nano Scale Voltage Amplifier Using Evolutionary Techniques for DG-MOSFET;flower Patterned with Elliptical Petals Multiband Microstrip Fractal Patch Antenna for Wireless Applications;Optimal Scheduling of Solar PV Generators and Network Assets in Distribution Network;revolutionizing Biomedical Engineering with Microcontroller Applications: A Comprehensive Review;investigation of Battery Temperature Impact on High Voltage Cable of Electric Vehicles;deep Learning Technique for Computer Vision-Based Pose Estimation for Augmented Reality;Rectangular Shape Patch Antenna with Defected Ground Plane for 5G Sub 6 GHz Wireless Communication systems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

proceedings - 2024 3rd international Joint conference on Information and Communication Engineering, JCICE 2024

Proceedings - 2024 3rd International Joint Conference on Inf...

引用

3rd international Joint conference on Information and Communication Engineering, JCICE 2024

ISBN: (纸本)9798350388725

The proceedings contain 46 papers. The topics discussed include: building a cancer type prediction model based on machine learning algorithms by analyzing the origin genes of multiple cancers including prostate cancer;cross-domain specific emitter identification based on domain adversarial multi-constraint;a robust defense algorithm for backdoor erasure based on attention alignment in federated learning;research and design of data link twin system;a simple image denoising method associated with image edge protection;research on optimal allocation of integrated resources of mergers and acquisitions based on distributed cloud computing;power control based on deep Q learning in heterogeneous networks;HybridTrajNet: enhancing pedestrian trajectory prediction with multi-scale attention and large selective kernel;and a method for essential proteins identification by integrating topological and biological characteristics in PPI network.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Intelligent computing Techniques for Smart Energy systems. ICTSES 2023

3rd International Conference on Intelligent Computing Techni...

引用

3rd international conference on Intelligent computing Techniques for Smart Energy systems. ICTSES 2023

ISBN: (纸本)9789819784288

关键词：

来源：评论

学校读者我要写书评

暂无评论

Design and implementation of 5G communication device for distributed energy monitoring 24

Design and implementation of 5G communication device for dis...

引用

3rd international conference on Cryptography, Network Security and Communication Technology (CNSCT)

作者： Sun, Jingchao Zheng, Fei Wu, Yujun Wang, Chaotai Guilin Univ Elect Technol Guilin Peoples R China

ISBN: (纸本)9798400716959

With the continuous development and expansion of new energy devices, the user group using distributed energy technology is also expanding. distributed Multi-energy systems.(D-MES) can sustainably transform the energy supply of buildings, regions, and communities by integrating multiple energy-saving technologies, renewable energy sources, and electricity, gas, and thermal networks to provide heating, cooling, and electricity services[9].distributed energy monitoring device is also more and more development prospects, especially in the country, due to energy and environmental issues more and more people's attention, the construction and use of new energy devices have been strongly supported by the government,distributed energy monitoring devices have become an important part of the stable operation of the distributed energy system. In this paper, a distributed energy monitoring device based on 5G technology is proposed. Through the interconnection of monitoring equipment and energy equipment, real-time data collection, analysis and control are realized. The device combines the distributed energy system and 5G communication technology, and has the advantages of flexibility, high efficiency and security. Through the analysis of experiments and application cases, it has also been verified.

关键词： distributed energy monitoring device 5G communication embedded system

来源：评论

学校读者我要写书评

暂无评论

Research on Network Security Protection Techniques for the Central Station Side of distributed Power Dispatch and Control systems 3

Research on Network Security Protection Techniques for the C...

引用

2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Zhang, Xiao Wang, Youhuai Zhang, Wenlu State Grid Hubei Electric Power Co. Ltd. Wuhan China

ISBN: (纸本)9798350341546

This research focuses on the study of network security protection techniques for the central station side of distributed power dispatch and control systems. It covers various aspects such as vulnerability discovery, information interaction security, device management, and threat tracing. The aim is to propose an integrated, multi-dimensional, and multi-level security protection system that combines active and passive data security measures and security analysis methods to ensure the safety and reliability of the distributed power dispatch and control systems. © 2023 IEEE.

关键词： Device Management distributed Power Dispatch and Control System Information Interaction Security Network Security Vulnerability Discovery

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433页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：