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

1,526 篇 会议
4 册 图书
2 篇 期刊文献

馆藏范围

1,532 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,137 篇 工学
- 965 篇 计算机科学与技术...
- 824 篇 软件工程
- 269 篇 信息与通信工程
- 207 篇 控制科学与工程
- 170 篇 生物工程
- 150 篇 电气工程
- 91 篇 电子科学与技术（可...
- 84 篇 动力工程及工程热...
- 81 篇 生物医学工程（可授...
- 75 篇 机械工程
- 66 篇 光学工程
- 64 篇 安全科学与工程
- 54 篇 交通运输工程
- 38 篇 化学工程与技术
- 34 篇 环境科学与工程（可...
- 29 篇 仪器科学与技术
537 篇 理学
- 258 篇 数学
- 180 篇 生物学
- 120 篇 物理学
- 77 篇 统计学（可授理学、...
- 69 篇 系统科学
- 41 篇 化学
317 篇 管理学
- 208 篇 管理科学与工程(可...
- 138 篇 图书情报与档案管...
- 122 篇 工商管理
70 篇 法学
- 59 篇 社会学
59 篇 医学
- 55 篇 临床医学
- 51 篇 基础医学(可授医学...
- 34 篇 药学(可授医学、理...
52 篇 经济学
- 52 篇 应用经济学
24 篇 农学
19 篇 教育学
6 篇 文学
5 篇 军事学

主题

35 篇 software
32 篇 internet of thin...
32 篇 computer softwar...
27 篇 application soft...
26 篇 computer archite...
24 篇 software enginee...
24 篇 real-time system...
20 篇 deep learning
20 篇 cloud computing
20 篇 computer vision
19 篇 computational mo...
17 篇 costs
17 篇 convolutional ne...
16 篇 feature extracti...
16 篇 machine learning
16 篇 training
15 篇 programming
15 篇 recommender syst...
14 篇 computer science
14 篇 object detection

机构

22 篇 wuhan donghu uni...
17 篇 school of comput...
8 篇 school of cyber ...
8 篇 school of inform...
8 篇 university of ta...
8 篇 school of electr...
7 篇 school of comput...
7 篇 college of compu...
6 篇 school of electr...
6 篇 school of electr...
6 篇 school of automa...
6 篇 school of inform...
5 篇 chitkara univers...
5 篇 beijing key labo...
5 篇 beijing universi...
4 篇 college of engin...
4 篇 school of comput...
4 篇 school of big da...
4 篇 school of comput...
4 篇 beijing engineer...

作者

8 篇 lian ren-zun
7 篇 zhang bo
5 篇 wang jing
5 篇 li zixin
5 篇 li jiawen
5 篇 li jianqiang
4 篇 mirchandani sanj...
4 篇 liang meiyu
4 篇 zhang rui
4 篇 surendran r.
4 篇 chen xiangning
4 篇 li weixin
4 篇 li jian
4 篇 zhang li
4 篇 liu hai
4 篇 meiyu liang
3 篇 wang lei
3 篇 yawen li
3 篇 li yang
3 篇 dai fei

语言

1,513 篇 英文
16 篇 中文
14 篇 其他
3 篇 土耳其文
1 篇 德文

检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

共 1532 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：

EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification 8

EWasteNet: A Two-Stream Data Efficient Image Transformer App...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Islam, Niful Hasan Jony, Md. Mehedi Hasan, Emam Sutradhar, Sunny Rahman, Atikur Islam, Md. Motaharul United International University Department of Computer Science and Engineering Dhaka1212 Bangladesh

ISBN: (纸本)9798350310931

Improper disposal of e-waste poses global environmental and health risks, raising serious concerns. the accurate classification of e-waste images is critical for efficient management and recycling. In this paper, we have presented a comprehensive dataset comprised of eight different classes of images of electronic devices named the E-Waste Vision Dataset. We have also presented EWasteNet, a novel two-stream approach for precise e-waste image classification based on a data-efficient image transformer (DeiT). the first stream of EWasteNet passes through a sobel operator that detects the edges while the second stream is directed through an Atrous Spatial Pyramid Pooling and attention block where multi-scale contextual information is captured. We train both of the streams simultaneously and their features are merged at the decision level. the DeiT is used as the backbone of both streams. Extensive analysis of the e-waste dataset indicates the usefulness of our method, providing 96% accuracy in e-waste classification. the proposed approach demonstrates significant usefulness in addressing the global concern of e-waste management. It facilitates efficient waste management and recycling by accurately classifying e-waste images, reducing health and safety hazards associated with improper disposal. © 2023 ieee.

关键词： Electronic Waste

来源：评论

学校读者我要写书评

暂无评论

Predicting Mental Health Disorder on Twitter Using Machine Learning Techniques 8

Predicting Mental Health Disorder on Twitter Using Machine L...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Lim, Shi Ru Kamarudin, Nur Shazwani Ismail, Nur Hafieza Hisham Ismail, Nik Ahmad Mohamad Kamal, Nor Ashikin Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Pahang Malaysia Kulliyyah of Education International Islamic University Malaysia Selangor Malaysia Universiti Teknologi Mara Faculty of Computer and Mathematical Science Selangor Malaysia

ISBN: (纸本)9798350310931

Social media gives young people a place to voice their difficulties and trade opinions on current events in the digital era. therefore, it is possible to analyze human behavior using internet media. However, the illness of mental disorder is common yet often ignored. Social media makes it possible to identify mental health disorders in large populations. Many efforts have been made to evaluate individual postings using machine learning techniques to identify people with mental health conditions on social media. this study attempted to predict mental health disorders among Twitter users using machine learning techniques. Support Vector Machine (SVM), Decision Tree, and Naive Bayes are three examples of machine learning approaches applied in this study. To assess the algorithms, the performance and accuracy of these three algorithms are compared. © 2023 ieee.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Security Requirements Assurance: An Assurance Case Perspective 8

Security Requirements Assurance: An Assurance Case Perspecti...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Janisar, Aftab Alam Kalid, Khairul Shafee Bin Sarlan, Aliza Bt Gilal, Abdul Rehman Universiti Teknologi Petronas Department of Computer and Information Science Seri Iskandar Perak32610 Malaysia School of Computing University of Portsmouth United Kingdom

ISBN: (纸本)9798350310931

In the current era, software security requirements domain has changed thoroughly, and has been considered an essential aspect for software quality. Machine learning and artificial intelligence have become the emerging trends to automate the identification and specification of security requirements. As an active research area, security requirements specifications are recognized and persuaded in software engineering and security assurance communities. Overfitting of security requirements after system design can result in security issues in current system architecture. Consistency, completeness, and correctness are critical requirements for ensuring the effectiveness of systems architecture. However, without these security requirements, the system is vulnerable to attacks and organization's assets, and its reputation is at risk. Moreover, it increases the cost and time to fix the security problem. therefore, to avoid such problems security requirements need to be identified more precisely and consistently. Realizing the benefits of assurance case, A conceptual framework is proposed for identification of security requirements correctness, consistency and completeness using assurance case. Objective of the proposed conceptual framework to assist the security requirement engineer to identify the security requirements using assurance case during requirement phase i.e., the security requirements are correct, complete, and consistent. the proposed conceptual framework involves five phases: (1) assets identification, (2) threat identification, (3) security objectives, (4) security requirements identification and (5) security requirement assessment. © 2023 ieee.

关键词： computer software selection and evaluation

来源：评论

学校读者我要写书评

暂无评论

Monocular Camera Free Region Detection Method of Obstacle Avoidance Using Pixel Volume Expansion for Micro - Sized UAV 8

Monocular Camera Free Region Detection Method of Obstacle Av...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Bin Abdul Aziz, Muhamad Wafi Bin Ramli, Muhammad Faiz Engineering Universiti Tun Hussein Onn Faculty of Mechanical and Manufacturing Department of Aeronautical Engineering Johor Malaysia

ISBN: (纸本)9798350310931

Robustness of Unmanned Aerial Vehicles (UAV) depends on the ability to detect upcoming obstacles. Dependency on range sensors that are only able to detect the distance of the object from the UAV will restrict the robustness of UAV especially Micro -Sized UAV (MAV) that are limited in terms of payload and energy consumption. On other hand, certain range sensors are expensive and sensitive to surroundings. Hence, implementing simple LIDAR and lightweight monocular camera sensor with appropriate free region detection method will give better combination to overcome robustness problem as camera sensor will provide various inputs of surrounding related to the obstacles. this method will segmentized input image of first and second frame via K - Means. then the second image frame will be subtracted by the first image frame. Next the subtracted image frame will be divided into 12 regions. then, the least pixel expansion will be selected from the regions. Finally, further sub regions to find least pixel expansion will be executed from the previously selected free region. the method is tested with experiment for texture and texture-less obstacles for free region detection. the method successfully obtained the best free region area for the MAV to avoid the obstacle. © 2023 ieee.

关键词： Textures

来源：评论

学校读者我要写书评

暂无评论

An Ensemble-Based Framework to Estimate software Project Effort 8

An Ensemble-Based Framework to Estimate Software Project Eff...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Haris, Mohammad Chua, Fang-Fang Lim, Amy Hui-Lan Multimedia University Faculty of Computing and Informatics Cyberjaya Malaysia

ISBN: (纸本)9798350310931

Effort estimation is essential for successful software project planning, budgeting, and risk identification. However, the techniques used to estimate effort are often inaccurate, outdated, and only consider technical factors while neglecting project management or stakeholder engagement. Expert estimation remains an important technique for leveraging human expertise in software estimation, but solely relying on this technique causes biased and subjective predictions. Machine learning (ML) techniques have shifted the direction of software project effort estimation towards computational intelligence. Nonetheless, there is a lack of deployment due to ambiguous outcomes and ineffective model-building approaches. this study presents an ensemble-based framework that can estimate software project effort more accurately with the incorporation of domain knowledge and experiences. To achieve this, six homogeneous classifier ensembles will be constructed using six distinct classifiers on the proposed USP05-FT dataset. the collected expert estimations will be integrated into the proposed dataset as an additional feature in the form of numerical values such as expert-provided software project effort estimations (in person hours) that provide additional insight and knowledge. Subsequently, the predictions of all six homogeneous classifier ensembles will be combined through majority voting to obtain a more accurate and reliable prediction with increased robustness against errors and uncertainties. the performance of the proposed framework will be evaluated using Recall, F-measure, Precision, and Accuracy. It is expected that the proposed ensemble-based framework for software project effort estimation will lead to more efficient and effective software project management, an improvement in resource allocation, empowering informed decision-making, and timely project delivery. © 2023 ieee.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

ChatGPT vs Mentor : Programming Language Learning Assistance System for Beginners 8

ChatGPT vs Mentor : Programming Language Learning Assistance...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Moon, Junseong Yang, Raeeun Cha, Somin Kim, Seong Baeg Computer Education School Jeju National University Jeju Korea Republic of Computer Education Jeju National University Jeju Korea Republic of

ISBN: (纸本)9798350310931

With the recent rise of large language models, learning assistance systems that utilize natural language processing capabilities are gaining attention. However, existing learning assistance systems mainly aim to provide answers to learners' questions, and have limitations in accurately identifying individuallearning needs and analyzing questions to provide customized answers. therefore, in this study, we compare chatGPT and mentor responses in the process of learning a programming language and find out the limitations of each and develop a system to assist programming language learning using chatGPT. the developed system allows learners to get realtime answers from chatGPT immediately, and can also provide additional personalized guidance and answers based on the mentor's judgment. In addition, through the analysis of learners' responses and chatGPT's answers, we aim to evaluate the appropriateness and accuracy of the answers and explore and suggest technical limitations and improvement measures of chatGPT. By analyzing and discussing the differences between the traditional mentoring method and the learning assist method using chatGPT, we aim to diagnose the limitations of chatGPT in programming language learning. through this study, we expect to develop an effective programming language learning assistance system by integrating the advantages of chatGPT and mentoring to improve learners' understanding and learning efficiency. © 2023 ieee.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Hop Restricted-AODV (HR-AODV) Routing and Its Applicability on Different Wireless Channels for Vehicular Network 8

Hop Restricted-AODV (HR-AODV) Routing and Its Applicability ...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Ahmad, Tanvir Nadiah Binti Ismail, Nor Syahidatul Rahman, Md. Arafatur Waseem, Quadri Safri, Abdullah Mat University Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Pekan Malaysia University of Wolverhampton Faculty of Science and Engineering Wolverhampton United Kingdom

ISBN: (纸本)9798350310931

Routing is considered the most significant part of any wireless system, and vehicular network depends on Adhoc On-demand Distance Vector (AODV) routing mostly for routing purposes. To adapt to the dynamic topology of the vehicular network, different variations of AODV routing are adopted, and there have some event-driven limitations considering different performance metrics. In this paper, we propose a variant of AODV routing hop restricted-AODV (HR-AODV) that limit searching for receiver up to a maximum of four hops and completes data transmission. We simulate the protocol on two channels;LOS-driven two-ray ground and Non-LOS multipath fading channel Rayleigh channel. We found that different performance metrics like packet delivery ratio (PDR), delay, overhead, and throughput follows the trend regarding AODV performances mentioned by Hota et al. [18]. the results indicate that;our proposed protocol is suitable for routing in vehicular networks. © 2023 ieee.

关键词： Multipath fading

来源：评论

学校读者我要写书评

暂无评论

Hand Calibration with Limited Data As the Initial Step Towards System Dynamics Model Validation for COVID-19 Case in Malaysia 8

Hand Calibration with Limited Data As the Initial Step Towar...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Ibrahim, Aisyah Abdul Kadir, Tuty Asmawaty Macdonald, Roderick H. Daniyal, Hamdan Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Pahang Pekan Malaysia School of Integrated Sciences James Madison University HarrisonburgVA United States Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Electrical and Electronic Engineering Technology Pahang Pekan Malaysia

ISBN: (纸本)9798350310931

this paper presents the manual calibration effort for the System Dynamics (SD) COVID-19 model for Malaysia. this study aims to develop a COVID-19 SD model based on the COVID-19 scenario in Malaysia. the SD model consisted of nine compartments and was adapted based on a standard disease SEIR model using Vensim software. While the development of the model is still ongoing, an initial validation was carried out between 'Actively Infected' and the case data gathered from the Malaysia Ministry of Health's official COVID-19 websites. During this period, the parameters were manually adjusted by hand to align the model's output with the actual data. the expected outcome was not easy to achieve, but the result was acceptable. It is important to note that the lack of such strategies may compromise the model's validity due to uncertainty. this paper also discusses the challenges posed by hand calibration, the lessons learned during this work, and the potential future implications of this work. © 2023 ieee.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Priority Based Fair Scheduling: Enhancing Efficiency in Cloud Job Distribution 8

Priority Based Fair Scheduling: Enhancing Efficiency in Clou...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Murad, Saydul Akbar Azmi, Zafril Rizal M Brishti, Faria Jerin Saib, Md Bairagi, Anupam Kumar College of Computing Applied Sciences Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Pahang Malaysia Computer Science and Engineering International Islamic University Chittagong Chattogram Bangladesh South China University of Technology Guangzhou China Khulna University Khulna Bangladesh

ISBN: (纸本)9798350310931

In recent years, there has been a growing interest in cloud computing as a means to enhance user access to shared computing resources, including software and hardware, through the internet. However, the efficient utilization of these cloud resources has been a challenge, often resulting in wastage or degraded service performance due to inadequate scheduling. To overcome this challenge, numerous researchers have focused on improving existing Priority Rule (PR) cloud schedulers by developing dynamic scheduling algorithms, but they have fallen short of meeting user satisfaction. In this study, we introduce a new PR scheduler called Priority Based Fair Scheduling (PBFS), which takes into account key parameters such as CPU Time, Job Arrival Time, and Job Length. We evaluate the performance of PBFS by comparing it with five existing algorithms, and the results demonstrate that PBFS surpasses the performance of the other algorithms. the experiment was conducted using the CloudSim simulator, utilizing a dataset of 300 and 400 jobs. In order to assess the performance, three key metrics were employed: flow time, makespan time, and total tardiness. these metrics were chosen to evaluate and analyze the effectiveness of the proposed scheduling algorithm. © 2023 ieee.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

A New SVM-STEG Embedding Model in Steganography 8

A New SVM-STEG Embedding Model in Steganography

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Hussain, Hanizan Shaker Ghazali, Fazali Hafiza, A.S. Ali, Hanif Mohd Sangodiah, Anbuselvan Oumar, Kante Koli Quest International University Faculty of Computing and Engineering Malaysia Universiti Islam Antarabangsa Sultan Abdul Halim mu'Adzam Shah Kulliyyah of Muamalat & Management Sciences Malaysia Universiti Poly-Tech Malaysia Faculty of Computing and Multimedia Malaysia

ISBN: (纸本)9798350310931

One of the sub-fields in information security is called information hiding and can be applied to protect data and information nowadays. this is a method in where secret-messages are hidden stealthily in an image file. this method has been used in various fields especially in digital image steganography. Most of the techniques proposed to date have various problems i.e., non-random changes will obviously occur especially when the secret message is embedded in an inappropriate area and when the load capacity exceeds the number of bits allowed. this paper proposes a machine learning steganographic method called SVM-Steg model that uses embedding and extracting algorithms by exploiting SVM classification and SVM-Steg embedding to achieve good performance. In addition, the distance of the embedding location is also taken into account so that more pixels can be embedded at more distance locations. the results show a quality cover-image when high peak signal-to-noise ratio (PSNR) values are recorded greater for all types of cover images. In comparison to the other technique, all PSNRs for the proposed technique, SVM-Steg Method achieved 40 or higher. It is not only succeeding in providing a secure embedding position, but also increases the number of secret-bits embedded. © 2023 ieee.

关键词： Support vector machines

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154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：