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

4,790 篇 会议
353 册 图书
80 篇 期刊文献
1 篇 学位论文

馆藏范围

5,220 篇 电子文献
4 种 纸本馆藏

日期分布

学科分类号

3,588 篇 工学
- 3,087 篇 计算机科学与技术...
- 2,586 篇 软件工程
- 583 篇 信息与通信工程
- 434 篇 控制科学与工程
- 339 篇 电气工程
- 230 篇 机械工程
- 199 篇 电子科学与技术（可...
- 194 篇 生物工程
- 141 篇 安全科学与工程
- 137 篇 生物医学工程（可授...
- 107 篇 建筑学
- 99 篇 动力工程及工程热...
- 95 篇 土木工程
- 82 篇 材料科学与工程（可...
- 82 篇 交通运输工程
- 81 篇 仪器科学与技术
990 篇 理学
- 556 篇 数学
- 219 篇 生物学
- 172 篇 系统科学
- 169 篇 物理学
- 151 篇 统计学（可授理学、...
- 76 篇 化学
802 篇 管理学
- 569 篇 管理科学与工程(可...
- 302 篇 工商管理
- 289 篇 图书情报与档案管...
143 篇 医学
- 120 篇 临床医学
- 110 篇 基础医学(可授医学...
129 篇 教育学
- 126 篇 教育学
111 篇 经济学
- 111 篇 应用经济学
108 篇 法学
- 79 篇 社会学
41 篇 农学
11 篇 军事学
8 篇 文学
2 篇 艺术学

主题

374 篇 software enginee...
223 篇 software
173 篇 artificial intel...
154 篇 computer archite...
143 篇 information syst...
143 篇 application soft...
130 篇 computer communi...
114 篇 computer science
109 篇 hardware
109 篇 computer softwar...
108 篇 software enginee...
102 篇 real-time system...
94 篇 control systems
89 篇 computer aided s...
73 篇 software systems
72 篇 computational mo...
72 篇 software design
71 篇 software archite...
61 篇 software testing
61 篇 logics and meani...

机构

21 篇 college of compu...
10 篇 school of softwa...
9 篇 univ york dept c...
9 篇 dublin city univ...
8 篇 department of co...
8 篇 state key labora...
7 篇 school of comput...
7 篇 faculty of compu...
6 篇 school of comput...
6 篇 school of comput...
6 篇 shanghai key lab...
6 篇 college of compu...
6 篇 university of ne...
6 篇 faculty of compu...
6 篇 carleton univ de...
6 篇 univ haifa dept ...
6 篇 school of inform...
5 篇 univ chinese aca...
5 篇 hebrew universit...
5 篇 nanjing univ sta...

作者

14 篇 kupferman orna
14 篇 labiche yvan
12 篇 david lo
8 篇 mylopoulos john
8 篇 yilmaz murat
8 篇 reinhartz-berger...
8 篇 sturm arnon
8 篇 xin xia
8 篇 paige richard f.
7 篇 o'connor rory v.
7 篇 vardi moshe y.
7 篇 clarke paul m.
7 篇 biffl stefan
7 篇 briand lionel c.
7 篇 exman iaakov
6 篇 katz guy
6 篇 maoz shahar
6 篇 sulaiman shahida
6 篇 lakhmi c. jain
5 篇 bernady o. apduh...

语言

5,091 篇 英文
105 篇 其他
34 篇 中文
2 篇 德文
2 篇 俄文
1 篇 西班牙文

检索条件"任意字段=5th Israel Conference on Computer Systems and Software Engineering"

共 5224 条记录，以下是291-300 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：

Full: A New Graduate Course Structure for Addressing Human Errors in software Development 54

Full: A New Graduate Course Structure for Addressing Human E...

引用

54th IEEE Frontiers in Education conference, FIE 2024

作者： Huang, Fuqun Western Washington University Department of Computer Science Bellingham United States

ISBN: (纸本)9798350351507

this research-to-practice full paper introduces a novel graduate course, Human Errors in software Development (HESD) based on a metacognition framework. software defects pose a significant threat to the reliability and safety of computer systems, incurring trillions of dollars in costs globally. Addressing and rectifying defects in programs present a formidable challenge for computer Science (CS) students. Given the critical role of cognition in software development, there is a pressing need for a course designed to train students to address human errors in various cognitive activities of software development. To our knowledge, there is currently no semester-long nor quarter-long university course offering comprehensive training to students on handling human errors in software development. HESD equips students with a profound understanding of the cognitive mechanisms underlying human errors in software development. It aims to enhance students' awareness and cognitive abilities to proactively prevent human errors in software development and, consequently, reduce defects in programs they develop. HESD comprises three stages: Stage I provides students with explicit knowledge of human errors in software development;Stage II fosters students' awareness and regulation abilities to effectively address human errors during software development;Stage III encourages students to apply acquired knowledge and skills in diverse contexts. the newly designed course was delivered to master's students at a large public university over a 14-week semester. Nine students in software engineering were enrolled in the course. Comprehensive surveys were used to evaluate the course's attractiveness and usefulness to students. the average satisfaction score was 4.2 (Min = 3, Max = 5, SD = 0.8) in a five-point Likert scale (where 1 means 'very dissatisfied' and 5 means 'very satisfied'), signifying that the students were quite satisfied with the course. A survey designed for assessing human err

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Online Machine Learning Approach to Detect and Mitigate Low-Rate DDoS Attacks in SDN-Based Networks 5

Online Machine Learning Approach to Detect and Mitigate Low-...

引用

5th IEEE International conference on Artificial Intelligence in engineering and Technology, IICAIET 2023

作者： Alashhab, Abdussalam Ahmed Mohd Zahid, Mohd Soperi Alashhab, Mohamed Alashhab, Shehabuldin Alasmarya Islamic University Faculty of Information Technology Department of Computer Science Zliten Libya Universiti Teknologi Petronas Department of Computer and Information Science Seri Iskandar Malaysia Universiti Sultan Azlan Shah Faculty of Management and Information Technology Kuala Kangsar Malaysia

ISBN: (纸本)9798350304152

software Defined Networking (SDN) technology provides rapid configuration, scalability, and management through its dynamic, programmable architecture that outperforms traditional network architecture with limitations on scalability and management. However, the threat of Distributed Denial of Service (DDoS) attacks remains difficult to detect and threatens traditional and SDN-based networks. Fortunately, Machine Learning (ML) and Deep Learning (DL) technologies along with SDN have proven to have a superior potential to deal with these threats effectively. However, most of the previous studies focused on resolving high-rate DDoS attacks, and only a few dealt with the detection of Low-rate DDoS attacks that are difficult to detect due to their similarity to legitimate traffic. In addition, these studies do not utilize up to date data sets that contain the new features. To address this issue, we propose an online machine learning model that utilizes Stochastic Gradient Descent (SGD) optimizer and Explainable Boosting Machine (EBM) classifier to detect LDDoS attacks in SDN-based networks. Our model is designed to process large amounts of network traffic data in real-time and updates the model parameters incrementally to continually train the model on expected DDoS attacks, as the attack may change and appear differently. We evaluated the proposed approach in an SDN-simulated environment using Mininet and the Ryu controller. Our experimental results show that the proposed EBM model achieves high accuracy and outperforms existing methods, with 99% accuracy on the training data. the proposed system effectively counters LDDoS attacks and adapts to future mutations and zero-day DDoS attacks. © 2023 IEEE.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Modelling, Verifying and Testing the Contract Automata Runtime Environment with UPPAAL 26th

Modelling, Verifying and Testing the Contract Automata Runti...

引用

26th International conference on Coordination Models and Language (COORDINATION)

作者： Basile, Davide CNR ISTI Formal Methods & Tools Lab Pisa Italy

ISBN: (纸本)9783031626968;9783031626975

the contract automata runtime environment (CARE) is a distributed middleware application recently introduced to realise service applications specified using a dialect of finite-state automata. In this paper, we detail the formal modelling and verification of CARE. We provide a formalisation as a network of stochastic timed automata. the model is verified against the desired properties with the tool Uppaal, utilizing exhaustive and statistical model checking techniques. this research emphasises the advantages of employing formal modelling, verification and testing processes to enhance the dependability of an open-source distributed application. We discuss the methodology used for modelling the application and address the issues that have been identified and fixed.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Enhancing Anomaly Detection in Agriculture by Considering the Impact of Concept Drift: An Exploratory Study Using Digital Replica 23

Enhancing Anomaly Detection in Agriculture by Considering th...

引用

5th World Symposium on software engineering, WSSE 2023

作者： Huo, Dongyang Malik, Asad Waqar Ravana, Sri Devi Ur Rahman, Anis Ahmedy, Ismail Department of Information Systems Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia Islamabad Pakistan Department of Computer Systems and Technology Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9798400708053

the advent of precision agriculture is disrupting traditional farming practices, leading to a significant increase in the data flow. However, current anomaly detection methods overlook the impact of concept drift. the phenomenon of concept drift refers to the changes in the underlying distribution of the data over time, which can result in unexpected and misleading results. As such, it is essential to consider the impact of theconcept drift in the context of anomaly detection in precision agriculture. this study uses a digital replica of an agricultural system equipped with intelligent agents to examine the system dynamics and the temporal variability of end-to-end data flow in precision agriculture. It highlights the need for robust methods that can effectively address the challenges posed by concept drift and systems’ dynamism enabling accurate and reliable anomaly detection in the IoT farming system. © 2023 Copyright held by the owner/author(s).

关键词： Precision agriculture

来源：评论

学校读者我要写书评

暂无评论

An Empirical Comparison of Machine and Deep Learning Algorithms for Predicting Maternal Health Risk 5th

An Empirical Comparison of Machine and Deep Learning Algorit...

引用

5th EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2024

作者： N, Srinivasa Gupta Valarmathi, B. Kavitha, A. Gopini, Sai Bhuvan Seela, Hari Kumar Department of Manufacturing Engineering School of Mechanical Engineering Vellore Institute of Technology Tamil Nadu Vellore India Department of Software and Systems Engineering School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore India Department of Mathematics School of Advanced of Sciences Vellore Institute of Technology Tamil Nadu Vellore India

ISBN: (纸本)9783031770777

Maternal health is among the greatest challenges in the world, especially in rural areas as there lack medical practitioners, they do not have easily accessible publics clinics and transport is difficult. therefore, high rates of maternal as well as infant morbidity and mortalities are recorded. this research utilizes Artificial Intelligence (AI) with machine learning algorithms to forecast and address maternal health hazards right at their onset stage. the current research utilizes the concept of AI along with many Machine Learning (ML) methods like the Ensemble Learning Model (ELM), Random Forest (RF), K-Nearest Neighbour (KNN), Decision-Tree (DT), XG-Boost (XGB), Cat Boost (CB), and Gradient Boosting (GB), along with Synthetic Minority Over-sampling Technique (SMOTE) algorithm used for dealing with the problem class imbalance within the data set. SMOTE algorithm is utilized for the dataset balancing process. the handling system involves refining data preprocessing with the help of feature engineering and robust data cleaning which makes sure that anomalies do not erode the reliability of the predictive model. the existing methods [1] used RF (90%), DT (87%), XGB (85%), CB (86%), and GB (81%) algorithms and were compared with the accuracies of the proposed models like Logistic Regression (LR), Ensemble Learning Bagging (ELB), Ensemble Learning Stacking (ELS), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU). the existing methods used only imbalance dataset. the accuracies of the proposed models with using SMOTE algorithm (balanced dataset) are LR (61.33%), KNN (81%), ELB (92.33%), ELS (90.66%) CNN (40.67%), RNN (59.67%), LSTM (54%), GRU (56%) respectively. Among these methods, ELB achieved 92.33% of accuracy with using SMOTE algorithm using imbalanced dataset. Whereas the accuracies of the proposed models without using SMOTE algorithm (imbalanced dataset) are LR (66.09%), KNN (68.47%)

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Social Gardening: Integrated Social Network with Smart systems 7

Social Gardening: Integrated Social Network with Smart Syste...

引用

7th International conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications engineering, NCON 2022

作者： Punkam, Jittakorn Nitmanee, Keerati Janta, Tiradet Chondamrongkul, Nacha Mae Fah Luang University School of Information Technology Thailand

ISBN: (纸本)9781665495103

In recent years, the demand of planting trees as hobby has been increasing. this is because some plants with unique characteristics such as spotted leaf plants, have high bid of price. However, caring for these plants is still difficult and time-consuming. therefore, we have developed a software system that assists in caring for plants as a hobby. the system automates watering, fertilizing and measuring different factors that affect the growth of plants. To increase the user engagement, we have developed our system as a social network that lets users view and interact with their friends' trees through different features such as posting, emotional responding, commenting and private chats, as well as trading. these features aims to increase user interaction and help to expand the community. Our proposed system serves as an example that provide a guideline of how to develop an automated system in the hobbyist communities. © 2022 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Overview of Current Challenges in Multi-architecture software engineering and a Vision for the Future 12th

Overview of Current Challenges in Multi-architecture Softwar...

引用

12th International conference on Big Data Analytics, BDA 2024

作者： Sowiński, Piotr Lacalle, Ignacio Vaño, Rafael Palau, Carlos E. Ganzha, Maria Paprzycki, Marcin Faculty of Mathematics and Information Science Warsaw University of Technology ul. Koszykowa 75 Warsaw00-662 Poland Systems Research Institute Polish Academy of Sciences ul. Newelska 6 Warsaw01-447 Poland Communications Department Universitat Politècnica de València Valencia46022 Spain

ISBN: (纸本)9783031861925

the landscape of computing technologies is changing rapidly, straining existing software engineering practices and tools. the growing need to produce and maintain increasingly complex multi-architecture applications makes it crucial to effectively accelerate and automate software engineering processes. At the same time, artificial intelligence (AI) tools are expected to work hand-in-hand with human developers. therefore, it becomes critical to model the software accurately, so that the AI and humans can share a common understanding of the problem. In this contribution, firstly, an in-depth overview of these interconnected challenges faced by modern software engineering is presented. Secondly, to tackle them, a novel architecture based on the emerging WebAssembly technology and the latest advancements in neuro-symbolic AI, autonomy, and knowledge graphs is proposed. the presented system architecture is based on the concept of dynamic, knowledge graph-based WebAssembly Twins, which model the software throughout all stages of its lifecycle. the resulting systems are to possess advanced autonomous capabilities, with full transparency and controllability by the end user. the concept takes a leap beyond the current software engineering approaches, addressing some of the most urgent issues in the field. Finally, the efforts towards realizing the proposed approach, as well as future research directions, are summarized. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

Improving the DDoS Protection and A.I. systems Using Wireshark 16

Improving the DDoS Protection and A.I. Systems Using Wiresha...

引用

16th International conference on Developments in esystems engineering, DeSE 2023

作者： Deshpande, Darshan Liverpool John Moores University Computer Science and Mathematics Liverpool United Kingdom

ISBN: (纸本)9798350381344

Cyber-attacks like Distributed Denial of Service (DDoS) and Denial of Service (DoS) negatively affect the functioning of a computer or a server by overloading the victim with data packets. the aim of the study is to formulate a strategy to improve the protection against such attacks and also improve the performance of the hardware as well as the Artificial Intelligence (A.I.) based systems while also filling the gap of conducting a comparative analysis of network analysis tools in order to find the most optimal network analysis tool, and settings to help with the protection against cyber-attacks. the role of Wireshark network analysis software in the reduction of the harmful effects on the hardware, and identification of the origin of such attacks is evaluated. the PC performance aspects like Memory, HDD, CPU, and Disk are benchmarked, analyzed and the effectiveness of the network analysis tools is observed through empirical evaluation. Data of primary type is obtained through experimentation while data of secondary type is collected by a literature review of the recent research papers. the main research results show that Wireshark can improve the performance of the hardware at least by 5% during an attack when compared with the scenario of not using a network analysis software. through hypothesis testing and comparative analysis, it is concluded that Wireshark is the most optimal network analysis software which is also found to be less burdensome on hardware than other network analysis tools. Cost Effective Protection Framework is created to improve the monitoring, analysis and protection capabilities of users that use A.I. systems as well as those that do not use it. the future research is possible by expanding the framework to cover more users, more A.I. systems, testing more network analysis tools, and discovering more filters to improve the protection capabilities. © 2023 IEEE.

关键词： Network security

来源：评论

学校读者我要写书评

暂无评论

Secure Cloud-Based Management System for Legal Firms 5th

Secure Cloud-Based Management System for Legal Firms

引用

5th International conference on Computing and Network Communications, CoCoNet 2023

作者： Soumya, Ayushi Nayak, Bhumika Dayanand, Deepthi Vaishnavi, V.B. Prasad, Venkatesh Department of Computer Science Engineering PES University Ring Road Campus Bengaluru560085 India

ISBN: (纸本)9789819745395

Legal firms face mounting pressure to adapt to technology-induced transformations in the corporate landscape. To address this challenge, we propose a strategic approach centered on a customized software-as-a-Service (SaaS) cloud model tailored to the specific needs of small-scale legal enterprises. this approach offers compelling advantages, including scalability, modularity, cost-efficiency, enhanced availability, reduced hardware expenses, and strengthened security measures. Leveraging diverse cloud computing resources, the proposed solution facilitates real-time collaboration, communication, and data administration within legal organizations. It incorporates automated functionalities for generating, negotiating, and executing legal contracts, documents, and templates, along with streamlined mechanisms for storing and retrieving contract-related documents. To ensure data confidentiality and security, the system employs advanced tools such as the Advanced Encryption Standard (AES) algorithm and Amazon Quantum Ledger Database (QLDB) to protect Personal Identifiable Information (PII). this project represents a convergence of visionary concepts and tangible execution, seamlessly integrating microservices, robust security features, and cloud-based deployment. By addressing the inherent requirements of legal technology in corporate entities, fostering user confidence, and embracing the benefits of cloud technology, this project holds significant long-term implications for the adoption of cloud-based management systems by legal firms. Empirical evidence supports the growing need for legal entities to collaborate with law firms that fully leverage technology. Over the next three years, legal departments will increasingly seek partnerships with firms that can provide cloud-based solutions tailored to their specific needs. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： software as a service (SaaS)

来源：评论

学校读者我要写书评

暂无评论

Hands Sign Language and Gesture Recognition Using CNN 5

Hands Sign Language and Gesture Recognition Using CNN

引用

5th IEEE International conference on Advances in Computing, Communication Control and Networking, ICAC3N 2023

作者： Singh, Nirmal Kumar, Rahul Kaur, Balbindar Galgotias University School Of Computer Science & Engineering UP Greater Noida India Galgotias University UP Greater Noida India

ISBN: (纸本)9798350330861

One of the non-verbal communication techniques utilised in sign language is the hand gesture. People with speech or hearing impairments use it most frequently to converse with one another and with nondisabled persons. Several makers around the world have created various sign language systems, but they are neither adaptable nor cost-effective for end users. So, the 'Hand sign and gesture recognition system software' presented in this proposal offers a system prototype that can automatically understand sign language to aid deaf and dumb individuals in communicating with each other and other people more efficiently. this system can also be used in platforms like 'YouTube' videos where there is currently no feature for auto-text generation on the basic of gestures and sign languages. Research on gesture recognition is still in its early stages. Hand gestures play a crucial role in nonverbal communication and are essential to daily living. the software aims to present a real-time system for hand gesture and sign recognition on the basis of detection of some shape-based features like orientation, Center of Mass centroid, fingers status, and thumb in positions of raised or folded fingers of hand, although these feature extraction part will be totally resolved by Convolutional Neural Network (CNN). For the purpose user has used ISL(Indian Sign Language) for case study. the back projection histogram approach was employed in this model to set the image's histogram. For training and testing, used CNNs and as a result, the test accuracy was 99.89%. this model's independence from external hardware or devices is one of its benefits. © 2023 IEEE.

关键词： Gesture recognition

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 << < 26 27 28 29 30 31 32 33 34 35 > >>

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：