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

64,578 篇 会议
1,383 册 图书
574 篇 期刊文献
1 篇 科技报告

馆藏范围

66,534 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

34,297 篇 工学
- 28,032 篇 计算机科学与技术...
- 22,322 篇 软件工程
- 6,787 篇 信息与通信工程
- 4,384 篇 控制科学与工程
- 4,141 篇 电气工程
- 2,567 篇 电子科学与技术（可...
- 2,328 篇 生物工程
- 2,136 篇 机械工程
- 1,587 篇 生物医学工程（可授...
- 1,504 篇 动力工程及工程热...
- 1,438 篇 仪器科学与技术
- 1,119 篇 光学工程
- 1,108 篇 安全科学与工程
- 986 篇 网络空间安全
- 952 篇 土木工程
- 945 篇 建筑学
11,257 篇 理学
- 6,428 篇 数学
- 2,524 篇 生物学
- 2,486 篇 物理学
- 1,557 篇 统计学（可授理学、...
- 1,350 篇 系统科学
- 920 篇 化学
8,260 篇 管理学
- 5,822 篇 管理科学与工程(可...
- 3,045 篇 图书情报与档案管...
- 2,697 篇 工商管理
1,416 篇 医学
- 1,178 篇 临床医学
- 1,063 篇 基础医学(可授医学...
1,268 篇 法学
- 946 篇 社会学
1,183 篇 教育学
- 1,160 篇 教育学
1,002 篇 经济学
- 996 篇 应用经济学
424 篇 农学
332 篇 文学
116 篇 军事学
79 篇 艺术学
6 篇 哲学
4 篇 历史学

主题

4,658 篇 application soft...
4,386 篇 software enginee...
4,106 篇 software
3,607 篇 cloud computing
2,677 篇 computer archite...
2,587 篇 computational mo...
2,442 篇 computer science
2,274 篇 hardware
1,904 篇 distributed comp...
1,272 篇 artificial intel...
1,224 篇 protocols
1,157 篇 concurrent compu...
1,151 篇 mobile computing
1,109 篇 educational inst...
1,078 篇 computer network...
1,057 篇 servers
1,028 篇 security
1,023 篇 quality of servi...
1,015 篇 costs
947 篇 testing

机构

216 篇 college of compu...
130 篇 school of comput...
89 篇 national enginee...
74 篇 school of comput...
69 篇 school of softwa...
68 篇 school of comput...
64 篇 school of comput...
59 篇 department of co...
50 篇 school of big da...
49 篇 state key labora...
48 篇 national enginee...
48 篇 school of softwa...
41 篇 beijing key labo...
41 篇 school of comput...
39 篇 institute of inf...
37 篇 department of co...
37 篇 school of inform...
36 篇 school of softwa...
34 篇 college of compu...
34 篇 department of co...

作者

41 篇 zhang lei
36 篇 lei wang
35 篇 wang lei
33 篇 m. takizawa
32 篇 jian wang
32 篇 zhu huibiao
31 篇 ruimin hu
29 篇 xiao liu
29 篇 li li
27 篇 jing zhang
25 篇 li yang
25 篇 yu wang
23 篇 wang jing
23 篇 jun zhang
23 篇 liu yang
22 篇 xin liu
21 篇 min huang
21 篇 bin wang
21 篇 bernady o. apduh...
20 篇 wei liu

语言

65,409 篇 英文
793 篇 其他
419 篇 中文
5 篇 葡萄牙文
3 篇 西班牙文
3 篇 俄文
2 篇 德文
1 篇 法文

检索条件"任意字段=International Conference on Multimedia, Software Engineering and Computing"

共 66536 条记录，以下是151-160 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：

14th international conference on Frontier computing, FC 2024

14th International Conference on Frontier Computing, FC 2024

引用

14th international conference on Frontier computing, FC 2024

ISBN: (纸本)9789819627974

The proceedings contain 104 papers. The special focus in this conference is on Frontier computing. The topics include: multimedia Digital AI Painting System Based on Machine Vision Algorithm;intelligent Decision Optimization of Big Data in the Digital Economy Under Deep Reinforcement Learning;development of Virtual Maintenance Training Platform for Electric Motors;design of Automatic Driving and Parking System for New Energy Vehicles Based on Artificial Intelligence;application of Machine Learning Algorithms to Mental Health Data Processing for College Students;on the Translation Strategy of "Intangible Cultural Heritage" Based on Visual Multimodality;research on the Improvement of Human-Machine Collaborative Machine Translation Model Based on Internet;research on Subway Station Space Design from the Perspective of Regional Culture;application of Intelligent Algorithm in Image Recognition Under the Vision of Artificial Intelligence;risk Assessment Model of Electricity Customer Data Based on Dynamic Grid Generation Technology;an Evaluation Model of Equestrian Athletes’ Sense of Speed Based on Inertial Sensor Network;emotion Analysis of Low Resource Domain Based on Transfer Learning and Meta-Learning Methods;digital Technology Integrated with Artificial Intelligence Digital Product Research and Development;research on Artificial Neural Network Prediction of the Strength of Metal-Based Carbon Fiber Reinforced Polymer Layer;Intelligent Recommendation Algorithm for New Media Content Based on AI Technology;design of Daily Life Ability Training System Based on Intelligent Evaluation Algorithm;business Model for Developing Power Load Resources;practice of Artificial Intelligence Technology in Enterprise Human Resource Management;medical Service Management Based on Modern Information Technology;tetris Game System Based on Java.

关键词：

来源：评论

学校读者我要写书评

暂无评论

14th international conference on Frontier computing, FC 2024

14th International Conference on Frontier Computing, FC 2024

引用

14th international conference on Frontier computing, FC 2024

ISBN: (纸本)9789819623907

关键词：

来源：评论

学校读者我要写书评

暂无评论

14th international conference on Frontier computing, FC 2024

14th International Conference on Frontier Computing, FC 2024

引用

14th international conference on Frontier computing, FC 2024

ISBN: (纸本)9789819623945

关键词：

来源：评论

学校读者我要写书评

暂无评论

14th international conference on Frontier computing, FC 2024

14th International Conference on Frontier Computing, FC 2024

引用

14th international conference on Frontier computing, FC 2024

ISBN: (纸本)9789819627936

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evaluating the Necessity of Cloud computing in Modern Industrial Applications: A Comprehensive Analysis 2

Evaluating the Necessity of Cloud Computing in Modern Indust...

引用

2nd international conference on Computational Intelligence, Communication Technology and Networking, CICTN 2025

作者： Singh, Abhiraj Soni, Manish Kumar Pratap, Ajay Dept.of Computer Sci. & Engineering Bansal Inst of Eng. & Technology Lucknow India Amity Institute of Info Technology Amity University Uttar Pradesh Lucknow India

ISBN: (纸本)9798331530389

This study thoroughly assesses the need for cloud computing across industries, examining the ways in which it improves scalability, flexibility, and affordability. Through the use of cloud computing, industries may update their IT infrastructure and move from outdated, capital-intensive models to more adaptable and effective cloud-based solutions. The report examines how cloud services like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and software as a Service (SaaS) are integrated into key industries like manufacturing, healthcare, finance, and retail. Through the implementation of cutting-edge technologies like Internet of Things (IoT), machine learning (ML), and artificial intelligence (AI), cloud computing stimulates innovation, optimizes operations, and improves decision-making via data-driven insights. The growing significance of hybrid and multi-cloud strategies-which offer increased flexibility and enable industries to optimize resources and enhance performance-is also covered in the study. The study discusses the difficulties that sectors encounter in implementing cloud computing, along with its advantages. These difficulties include worries about data security, regulatory compliance, and cloud management. Strong security frameworks and efficient governance models are highlighted as essential elements of successful cloud integration. This study presents a framework for adopting cloud-based solutions for industries and emphasizes the significance of cloud computing as a fundamental technology for contemporary industrial applications. © 2025 IEEE.

关键词： Cloud platforms

来源：评论

学校读者我要写书评

暂无评论

Optimised Classification of Android Malware using ML Classifiers and Stacking Ensemble Algorithm 6

Optimised Classification of Android Malware using ML Classif...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Singh, Preet Hasija, Taniya Ramkumar, K.R. Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798331522667

One of the biggest threats that malicious software, or malware, poses to cybersecurity is exploiting vulnerabilities to infect computer systems. This research is based on malware classification using ensemble-based and kernel-specific machine-learning classification techniques. Advanced cyber threat scenarios have a critical need for solutions that balance accuracy, precision, recall, and F1 score while providing successful malware identification. The diverse base models integrated into the proposed methodology consisted of SVM with linear, polynomial, and RBF kernels, and a stacking classifier that utilizes the base model's strengths. The results showed that, compared with various single models, a stacking classifier achieved quite a high accuracy of 99.14% and maintained high precision and recall percentages for all evaluation metrics. It draws attention to hybrid and ensemble approaches in cybersecurity and the chances to raise detection rates at the cost of reduced false classifications. Advanced ensemble strategies, new deep learning models, as well as XAI will be used for the best enhancement of performance, adaptability, and transparency against evolving malware threats. © 2025 IEEE.

关键词： Android malware

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of software Reliability Prediction and Optimization using Machine Learning Algorithms

Comparative Analysis of Software Reliability Prediction and ...

引用

Intelligent Systems and Computational Networks (ICISCN), international conference on

作者： Prashanth Kumar Bolisetty Midhunchakkaravarthy Faculty of AI AI Computing and Multimedia Lincoln University College Selangor Darul Eshan Malaysia Faculty of AI Computing and Multimedia Lincoln University College Selangor Darul Eshan Malaysia

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529253

software reliability plays a crucial role in assessing the overall quality of software systems. Developing highly reliable software presents challenges, including ensuring usability, maintaining consistent performance, offering reliable service, and facilitating smooth maintenance. To overcome these limitations, researchers have turned to intelligent prediction and optimization algorithms. This paper presents a comprehensive review of software reliability prediction, emphasizing the application of machine learning techniques. It also provides an analytical evaluation of existing methods to identify areas for improvement and future research opportunities in software reliability prediction.

关键词： Machine learning algorithms Reviews software algorithms Machine learning software systems Prediction algorithms software reliability Maintenance Usability Optimization

来源：评论

学校读者我要写书评

暂无评论

COSIS: An AI-Enabled Digital Transformation Framework Integrating Large Language Models and Key Performance Indicators 21st

COSIS: An AI-Enabled Digital Transformation Framework Integr...

引用

21st international conference on Services computing, SCC 2024, Held as Part of the Services conference Federation, SCF 2024

作者： Zhang, Liang-Jie Chen, Huan He, Sheng Li, Changhu Chen, Junyang Zhang, Haodi Du, Wenfeng Center for AI Services Computing College of Computer Science and Software Engineering Shenzhen University Shenzhen China SF Technology Co. Ltd. Shenzhen China Kingdee Research Kingdee International Software Group Co. Ltd. Shenzhen China

ISBN: (纸本)9783031769993

The rapid advancement of Artificial Intelligence (AI) and Large Language Models (LLMs) has significantly transformed various sectors of society, compelling enterprises to undertake comprehensive digital transformations to remain competitive in the AI era. This paper introduces COSIS, an AI-enabled digital trans-formation framework comprising five key dimensions: Culture, Operation, Strategy, Innovation, and Service. The COSIS framework provides a structured approach for enterprises to navigate the complexities of digital transformation by integrating AI and LLM technologies into their core functions. For each dimension, the paper identifies specific key performance indicators (KPIs) to measure the effectiveness of AI-enabled transformations. These KPIs enable enterprises to quantitatively assess progress and outcomes, ensuring alignment with strategic objectives and facilitating continuous improvement. Additionally, the paper discusses the implications of AI and LLM technologies on enterprise management team building in the AI era. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Human resource management

来源：评论

学校读者我要写书评

暂无评论

Ethical Implications of WannaCry: A Cybersecurity Dilemma

Ethical Implications of WannaCry: A Cybersecurity Dilemma

引用

20th international conference on Cyber Warfare and Security, ICCWS 2025

作者： Osamor, Jude Odum, Jane Iwendi, Celestine Olajide, Funminiyi Peter-Osamor, Isaac Onyenagubom, Victor Ayodele, Innocent Bristol United Kingdom School of Computing University of Georgia United States School of Creative Technologies University of Bolton United Kingdom School of Computer Science & Engineering University of Westminster London United Kingdom University of Lagos Akoka Nigeria Department of Computing Teeside University United Kingdom The Department of Engineering & Computer Science University of Hertfordshire United Kingdom

ISBN: (纸本)9781917204316

The WannaCry ransomware attack of May 2017 marked a critical turning point in cybersecurity history, prompting profound ethical discussions about software vulnerability management. This comprehensive analysis examines the ethical dimensions of the WannaCry incident, focusing on the responsibilities of government agencies, technology companies, and security professionals in handling zero-day vulnerabilities. The study investigates the complex balance between national security interests and global cybersecurity while proposing ethical frameworks for future practice. Through a detailed examination of the attack's global impact and subsequent incidents, we demonstrate the ongoing relevance of lessons learned from WannaCry to contemporary cybersecurity challenges. © 2025 Proceedings of the international conference on Information Warfare and Security (ICCWS). All rights reserved.

关键词： Zero-day attack

来源：评论

学校读者我要写书评

暂无评论

Holistic Cyber Threat Modeling for Machine Learning-Based Systems: A Case Study in Healthcare

Holistic Cyber Threat Modeling for Machine Learning-Based Sy...

引用

18th international Joint conference on Biomedical engineering Systems and Technologies, BIOSTEC 2025

作者： Jaal, Janno Bahsi, Hayretdin Department of Software Science Tallinn University of Technology Tallinn Estonia Cybernetica AS Tallinn Estonia School of Informatics Computing and Cyber Systems Northern Arizona University United States

Considering the immense pace in machine learning (ML) technology and related products, it may be difficult to imagine a software system, including healthcare systems, without any subsystem containing an ML model in the near future. However, ensuring the resiliency of these ML-based systems against cyber attacks is vital for more seamless and widespread technology usage. The secure-by-design principle, considering security from the early stages of development, is a cornerstone to achieving sufficient security at a reasonable cost. The realization of this principle starts with conducting threat modeling to understand the relevant security posture and identify cyber security requirements before system design. Although threat modeling of software systems is widely known, it is unclear how to apply it to software systems with machine learning models. Although adversarial machine learning is a widely studied research topic, it has yet to be thoroughly researched how adversarial and conventional cybersecurity attacks can be holistically considered to identify applicable cyber threats at the early stage of a software development life cycle. This paper adapts STRIDE, a widely-known threat modeling method, for the holistic cyber threat analysis of an ML-based healthcare system. © 2025 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Adversarial machine learning

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 << < 12 13 14 15 16 17 18 19 20 21 > >>

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：