检索结果-内蒙古大学图书馆

International KES Conference on Human Centred Intelligent Systems, KES-HCIS 2020

作者： Alnaqbi, Fatema Alzahmi, Sarah Alharmoozi, Ayesha Alshehhi, Fatema Zia, Muhammad Talha Ouhbi, Sofia Belkacem, Abdelkader Nasreddine Department of Computer Science and Software Engineering CIT United Arab Emirates University Al Ain United Arab Emirates Department of Computer and Network Engineering CIT United Arab Emirates University Al Ain United Arab Emirates Department of Information Technology CIT United Arab Emirates University Al Ain United Arab Emirates

ISBN: (纸本)9789811557835

This paper presents a funny cooperative game that makes kids interact with their parents to indirectly educate both of them about the importance of making their own choices of eating unhealthy and healthy food. The game-based learning and cultivation of an informed decision-making approach throughout our proposed game design was utilized to achieve the obesity awareness objectives. This paper describes the design, implementation, and evaluation of our proposed cooperative game "ObeseGo" that was developed to enhance the obesity awareness for kids at an early age and educate them regarding their choices concerning eating a balanced meal to be able to adopt a healthy lifestyle. A survey questionnaire was conducted to evaluate our game. The results of the survey allowed us to analyze the impact and usefulness of the proposed game and to plan for improvement in future work. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020.

关键词： Surveys

来源：评论

学校读者我要写书评

暂无评论

A multi-agent system to support design pattern recommendation 20

A multi-agent system to support design pattern recommendatio...

引用

6th International Conference on engineering and MIS, ICEMIS 2020

作者： Saleh, Eiman M. Sallabi, Omar Darbi, Huweida A. Department of Software Engineering Benghazi University Benghazi Libya Department of Computer Science Benghazi University Benghazi Libya Department of Computer Science Omar Al-Mukhtar University Libya

ISBN: (纸本)9781450377362

A design pattern is a successful solution to recurring problems. It is a powerful tool to improve design quality and to reduce the time and cost of design. One of the major challenges confronting developers while using of design pattern is finding a suitable selection for them, thus it is considered as a challenging task for developers with less experience in the area of the design pattern. Therefore, the developers need a pattern recommendation to assist them by suggesting suitable design patterns. This paper presents the architecture Design Pattern Selection based on a Multi-Agent System (DPSA). The DPSA aims to obtain the appropriate recommendation to reduce development efforts, facilitate and assist the developers in selecting suitable patterns for their problems. DPSA's agents operate to support four different types of recommendations: single pattern, implement the pattern, pattern sequences, and recommending practical. © 2020 ACM.

关键词： Case based reasoning

来源：评论

学校读者我要写书评

暂无评论

CTSSeg: Consistent Teacher-Student model for magnetic resonance image Segmentation

CTSSeg: Consistent Teacher-Student model for magnetic resona...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Chenbin Zhang Qingyuan He Kun Yan Meng Ma Defeng Liu Ping Wang School of Computer Science Peking University Beijing China Department of Radiology Peking University Third Hospital Beijing China School of Software and Microelectronics Peking University Beijing China National Engineering Research Center for Software Engineering Peking University Beijing China Center for Reproductive Medicine Peking University Third Hospital Beijing China School of Software and Microelectronics Peking University and the KeyLaboratory of High Confidence Software Technologies (PKU) Ministry of Education

Segmentation of magnetic resonance images is an essential way of measuring the volume of tissues and lesions, which can improve the efficiency of diagnosis. The mainstream image segmentation methods are based on deep learning, which requires a large amount of labeled data. However, labeling magnetic resonance images is expensive and time-consuming. Therefore, we propose a consistent teacher-student model for magnetic resonance image segmentation, which is abbreviated as CTSSeg. Specifically, the CTSSeg includes a student network and a teacher network, where the student network learns supervised from labeled data, while the teacher network utilizes unlabeled data to improve the student network via contrastive learning and pseudo-label learning. We evaluate the proposed CTSSeg on the Atrial Segmentation Challenge dataset and a local clinical dataset. The experimental results show that our method can make full use of both labeled and unlabeled data and yield state-of-the-art performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Citizen Engagement in Smart Government: Content Analysis of Mohammed Bin Rashid Tweets 14

Citizen Engagement in Smart Government: Content Analysis of ...

引用

14th International Conference on Innovations in Information Technology, IIT 2020

作者： Sawafi, Aysha M. Al Awad, Mamoun A. UAE University College of IT Department of Computer Science and Software Engineering Al Ain United Arab Emirates

ISBN: (纸本)9781728181844

Citizen engagement is one of the main concepts of smart governments. In this paper we will measure the citizen engagement in different topics within the official Twitter account of Mohammed Bin Rashid. We have streamed the account tweets and classified them into five categories. The categories were identified after descriptive analysis of the total tweets. We used Retweetability rate to measure citizen engagement and Pearson Chi-Square test to measure the relationship between citizen retweets in response to Mohammed Bin Rashid tweets in four categories, namely, political engagement, achievements, development, and share values. Our results showed that there is a correlation between tweet contents and number of retweets in the development category only. Additionally, we found that other categories did not motivate citizen engagement. © 2020 IEEE.

关键词： Statistical tests

来源：评论

学校读者我要写书评

暂无评论

Network intrusion detection in software defined networking with self-organized constraint-based intelligent learning framework

引用

Measurement: Sensors 2022年 24卷

作者： Bhardwaj, Anurag Tyagi, Ritu Sharma, Neha Khare, Akhilendra Punia, Manbir Singh Garg, Vikash Kumar Senior Software Engineer Apisero INC Delhi India City College Jayanagar Bengaluru India Chitkara University Institute of Engineering & Technology Chitkara University Punjab Rajpura India Department of Computer Science & Engineering Galgotias University Uttar Pradesh Greater Noida India Department of IT Homi Bhabha Cancer Hospital Punjab Sangrur India Department of Computer Science & Engineering SLIET Punjab Longowal India

With the advent of internet and communication system, a huge number of opportunities have been presented to humans, however, its vision will not be easy and comfortable. Instead the current network systems are filled up with slew of problems that must be addressed on timely basis. One of the prominent concerns in IoT is security. A number of security methods have been proposed but they are still in their lowest levels and needs upgrade. One such solution is software defined network (SDN). Although SDN is anticipated to provide a favorable atmosphere for different security activities in IoT, there is still so much progress to be made because SDN cannot solve security challenges on its own. Furthermore, the SDN inherently imposes additional security flaws. Because of the large susceptibility area in SDN-based IoT systems, a wide range of faults like DOS, DDOS, U2R etc., are directed against them. In addition to this, majority of the current IDS were based on machine learning techniques, however, the problem with such methods was that they generated high false rates and were not producing effective results when datasets were non-linear. Moreover, overfitting caused by the noisy data also hindered the performance of ML based systems. Therefore, the objective is to review and provide an effective and efficient intrusion detection techniques that solves the issues addressed. © 2022 The Authors

关键词： Denial-of-service attack

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of a Simple Online Court Case Management System Based on the Android Platform 8

Design and Implementation of a Simple Online Court Case Mana...

引用

8th International Symposium on Digital Forensics and Security, ISDFS 2020

作者： Ali, Chawan Taha Hama Varol, Asaf University of Sulaimani Computer Science Sulaimani Iraq Firat University Department of Software Engineering Elazig Turkey

ISBN: (数字)9781728169392

ISBN: (纸本)9781728169392

The main purpose of this research is to create a new application in Android Operating System for a complainant who cannot visit his/her lawyer regularly or unable to go out due to fear of his/her life. Thanks to this research, a new application was established to make a bridge between a complainant and his/her lawyer. Everything is done automatically after necessary data entered into the application. So, costs are reduced and wasting of the time is diminished. © 2020 IEEE.

关键词： Android (operating system)

来源：评论

学校读者我要写书评

暂无评论

Innovative, Integrated and Interactive (3I) LMS for Learners and Trainers 2

Innovative, Integrated and Interactive (3I) LMS for Learners...

引用

2nd International Conference on Advancements in Computing, ICAC 2020

作者： Fernando, K.J.L. Jayalath, W.J.D.L.D.D. Ranasinghe, A.D.R.N. Bandara, P.K.B.P.S. De Silva, Hansi Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka

ISBN: (纸本)9781728184128

3I-LMS is meant to conquer the insurmountable restraints to class/lecture room education. What are insurmountable restraints to physical classroom education and how does 3I-LMS conquer them. Firstly, the lockdown and physical distancing warranted by the spread of Covid-19. In order to overcome the restraints of the pandemic 3I-LMS would be the obvious answer. 3I-LMS, the medium for delivery and reception, is online for both learners and trainers. Secondly, ineffectiveness resulting in frail in pass rates, fast diminishing memory, faulty study techniques are overcome. 3I-LMS makes studying satisfied, gamified, engaged and enjoying. The outcome would be lasting memory, effective study techniques, higher recall rates leading to improved pass rates. Thirdly, inefficiencies such as slow access to relevant lessons, notes, slow answer evaluation, feedback, clarification to routine questions are also resolved by 3I-LMS. 3I-LMS provides for keyword search, relevant subject wise notes, instant answers for routine questions thus contributing to improved efficiencies. Additionally, 3I-LMS has unique and innovative features to assist assignment completion, emanate milestone alerts, monitoring emotions and time utilization. 3I-LMS provides for utmost security. Thus, the solution deploys face recognition and keystroke dynamics to combat impersonation, copying and unauthorized referencing. © 2020 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

ML Techniques for Employee Performance Prediction

ML Techniques for Employee Performance Prediction

引用

Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： Brajesh Kumar Prateek Agrawal Dipesh Uike Melanie Lourens Indira Bhati M. Chandrakumar Peter Department of Computer Science & Engineering Dr. APJ Abdul Kalam Women's Institute of Technology Darbhanga Bihar Gurukula Kangri (Deemed to be University) Dr. Ambedkar Institute of management studies and research Nagpur Maharashtra Faculty of Management Sciences Durban University of Technology South Africa Department of Management MMIM Maharishi Markandeshwar (Deemed to be University) Department of Software Engineering PeriyarManiammai Institute of Science and Technology Thanjavur Tamilnadu

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

When it comes to maximizing the effectiveness of a business and promoting professional growth, employee performance prediction is an extremely important factor. This research article investigates the use of machine learning (ML) approaches to forecast employee performance, with a particular emphasis on the incorporation of different algorithms from different sources to improve accuracy and dependability. Methods that have been used for a long time, such as linear regression and decision trees, are evaluated alongside more recent approaches, such as ensemble methods and deep learning. To refine the prediction models, our research makes use of approaches such as feature selection and dimensionality reduction. These techniques are utilized by utilizing previous performance data, demographic information, and behavioral indicators. It has been demonstrated through the analysis that sophisticated machine learning techniques, in particular ensemble and deep learning models, are superior to traditional methods when it comes to anticipating employee performance. Our findings offer HR departments concrete insights that can be used to adopt data-driven methods for performance management, which will eventually contribute to improved organizational outcomes and increased employee satisfaction. This paper offers opportunities for future development in predictive analytics within the field of human resources and emphasizes the potential of machine learning to alter performance evaluation systems.

关键词： Deep learning Performance evaluation Accuracy Machine learning algorithms Linear regression Predictive models Prediction algorithms Feature extraction Ensemble learning Predictive analytics

来源：评论

学校读者我要写书评

暂无评论

GLIB: Ameliorated English Skills Development with Artificial Intelligence 1

GLIB: Ameliorated English Skills Development with Artificial...

引用

1st IEEE Bangalore Humanitarian Technology Conference, B-HTC 2020

作者： Srikanthan, Praveenkumar Nizar, Roshan Ravikumar, Abishaan Lalitharan, Keerthigan Harshanath, S.M.B. Alosius, Jesuthasan Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka

ISBN: (纸本)9781728187945

In language learning, most of the learners can learn the theory and memorize the sound of a language. However, the ability to speak and learn a language properly requires good practice, experience and good learning strategies. This research is an approach to innovate and improve the language learning strategies along with practices that help to improve the language skills for non-native learners and children who are in the early stage of learning. In this research, the English language will be used to experiment with our solution as the source due to its demand and familiarity in the world. This research is focused on four main skills such as conversation skills, pronunciation skills, listening skills and grammatical skills. This research is done by analyzing the difficulties in each of the skills mentioned above and also discusses and provides details about the solution implemented to improve learning English in an efficient way. The implementation of this research is done by using technologies like natural language processing, machine learning, and deep learning approaches to come up with components to train the learner. The application of this research is delivered by using a cross-platform application called GLIB. The name GLIB is inspired by a library in C language which represents fluency. This mobile application provides facilities to improve all the English language skills mentioned above along with guides, tips, practices, and feedback based on an evaluation to improve the English language. © 2020 IEEE.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks

arXiv

引用

arXiv 2022年

作者： Yazdinejad, Abbas Dehghantanha, Ali Parizi, Reza M. Hammoudeh, Mohammad Karimipour, Hadis Srivastava, Gautam The Cyber Science Lab University of Guelph Canada The College of Computing and Software Engineering Kennesaw State University GA United States Information & Computer Science Department King Fahd University of Petroleum & Minerals Saudi Arabia The School of Engineering Department of Electrical and Software Engineering The University of Calgary Alberta Canada The Department of Math and Computer Science Brandon University Manitoba Canada The Research Centre for Interneural Computing China Medical University Taichung Taiwan

Nowadays, blockchain-based technologies are being developed in various industries to improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-based network is one of the most notable applications of blockchain technology. IIoT devices have become increasingly prevalent in our digital world, especially in support of developing smart factories. Although blockchain is a powerful tool, it is vulnerable to cyber attacks. Detecting anomalies in blockchain-based IIoT networks in smart factories is crucial in protecting networks and systems from unexpected attacks. In this paper, we use Federated Learning (FL) to build a threat hunting framework called Block Hunter to automatically hunt for attacks in blockchain-based IIoT networks. Block Hunter utilizes a cluster-based architecture for anomaly detection combined with several machine learning models in a federated environment. To the best of our knowledge, Block Hunter is the first federated threat hunting model in IIoT networks that identifies anomalous behavior while preserving privacy. Our results prove the efficiency of the Block Hunter in detecting anomalous activities with high accuracy and minimum required bandwidth. © 2022, CC BY.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：