检索结果-内蒙古大学图书馆

Machine Learning Stroke Prediction in Smart Healthcare:Integrating Fuzzy K-Nearest Neighbor and Artificial Neural Networks with Feature Selection Techniques

引用

Computers, Materials & Continua 2025年第3期82卷 5115-5134页

作者： Abdul Ahad Ira Puspitasari Jiangbin Zheng Shamsher Ullah Farhan Ullah Sheikh Tahir Bakhsh Ivan Miguel Pires Department Information System Study Program Faculty of Science and TechnologyUniversitas AirlanggaSurabaya60286Indonesia School of Software Northwestern Polytechnical UniversityXi’an710072China Research Center for Quantum Engineering Design Faculty of Science and TechnologyUniversitas AirlanggaSurabaya60286Indonesia School of Computer Science and Software Engineering Shenzhen UniversityShenzhen518061China Cybersecurity Center Prince Mohammad Bin Fahd University617Al JawharahKhobarDhahran34754Saudi Arabia Cardiff School of Technologies Cardiff Metropolitan UniversityWestern AvenueCardiffCF52YBUK Instituto de Telecomunicacoes Escola Superior de Tecnologia e Gestao de AguedaUniversidade de Aveiroágueda3750-127Portugal

This research explores the use of Fuzzy K-Nearest Neighbor(F-KNN)and Artificial Neural Networks(ANN)for predicting heart stroke incidents,focusing on the impact of feature selection methods,specifically Chi-Square and Best First Search(BFS).The study demonstrates that BFS significantly enhances the performance of both *** BFS preprocessing,the ANN model achieved an impressive accuracy of 97.5%,precision and recall of 97.5%,and an Receiver Operating Characteristics(ROC)area of 97.9%,outperforming the Chi-Square-based ANN,which recorded an accuracy of 91.4%.Similarly,the F-KNN model with BFS achieved an accuracy of 96.3%,precision and recall of 96.3%,and a Receiver Operating Characteristics(ROC)area of 96.2%,surpassing the performance of the Chi-Square F-KNN model,which showed an accuracy of 95%.These results highlight that BFS improves the ability to select the most relevant features,contributing to more reliable and accurate stroke *** findings underscore the importance of using advanced feature selection methods like BFS to enhance the performance of machine learning models in healthcare applications,leading to better stroke risk management and improved patient outcomes.

关键词： Fuzzy K-nearest neighbor artificial neural network accuracy precision recall F-measure Chi-Square best search first heart stroke

来源：评论

学校读者我要写书评

暂无评论

Development Of Scholarship Sustainability Analysis Application Every Semester On STMIK Pelita Nusantara Students 4

Development Of Scholarship Sustainability Analysis Applicati...

引用

4th IEEE International Conference of Computer Science and Information Technology, ICOSNIKOM 2022

作者： Br Tarigan, Nera Mayana Sinaga, Bosker Panggabean, Erwin Sagala, Jijon Raphita Informatics Engineering Study Program Stmik Pelita Nusantara Medan Indonesia Software Engineering Study Program Stmik Pelita Nusantara Medan Indonesia

ISBN: (纸本)9798350399073

Decision making in an organization is needed a system. Decision support system is a system that helps company management and education in decision making that provides information, modeling and analyzing data with the application of a method. The management, especially higher education, must maximize sophisticated technology. For example, to analyze scholarship data. Problems are found in manual data analysis so that human errors often occur in addition to using more time than the target, losing old data, resulting in inaccurate analysis of scholarship sustainability every semester. The research was conducted to overcome the problems that have been found by analyzing the existing data with the simple additive weighting method, building a system by applying the method and testing the system. The result of this research is to produce an application for the development of a decision support system in managing student data to determine the sustainability of the scholarship every semester. Applications that are built can help the management in managing scholarships. © 2022 IEEE.

关键词： Decision support systems

来源：评论

学校读者我要写书评

暂无评论

Analysis and the Preliminary Design for Backend Technology of Disaster Management Information System

Analysis and the Preliminary Design for Backend Technology o...

引用

2023 IEEE International Conference on Data and software engineering, ICoDSE 2023

作者： Sianturi, Riyanthi Angrainy Pangaribuan, Jerry Andrianto Del Institute of Technology Software Engineering Technology Study Program North Sumatra Laguboti Indonesia

ISBN: (纸本)9798350381382

Disaster management information system are essential for handling emergencies and saving lives through swift responses and coordination. This study aims to analyse and design an efficient backend technology for such apps. Research methods involve literature review, interviews, and observation with stakeholders. Load balancing is found effective for optimizing disaster management, efficiently distributing workloads and ensuring high system availability. The analysis identifies functional and non-functional requirements, examining technologies like API, WebSocket, Caching, and Relational Database. The design section creates a 3-tier architecture with caching for enhanced performance and scalability. Integration with Mobile Cognitive Radio Base Station (MCRBS) ensures emergency communication in affected areas. copy;2023 IEEE. © 2023 IEEE.

关键词： Cognitive radio

来源：评论

学校读者我要写书评

暂无评论

Integration of HTML tables in web pages

Integration of HTML tables in web pages

引用

International Conference on Data and software engineering, ICODSE 2015

作者： Akbar, Memen Azizah, Fazat Nur Putri Saptawati, G.A. Magister in Informatics Study Program School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Data and Software Engineering Research Group School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781467384285

The growing number of web pages on the internet introduces a need to combine and integrate information from HTML tables of different web pages that contain similar information into a single web page, especially information from the same domain of interest. This paper presents an approach of HTML table integration by combining several existing methods that are proved to solve different issues in the integration processes. The integration of HTML table consists of three phases: (1) extraction of the structure of the tables;(2) integration of the tables' schema;(3) integration of the data values. To solve the conflicts in semantics and naming in the tables schema, domain-ontology is used. To improve quality of integration of data values in the tables, the vector space model is used to check the duplications of data values. As the integration result, a single HTML table is obtained. The approach is implemented on an engine built using Phyton. Results of the experiment shows that the engine can successfully integrate two HTML tables into single table. © 2015 IEEE.

关键词： Websites

来源：评论

学校读者我要写书评

暂无评论

Development Of Scholarship Sustainability Analysis Application Every Semester On STMIK Pelita Nusantara Students

Development Of Scholarship Sustainability Analysis Applicati...

引用

International Conference of Computer Science and Information Technology

作者： Nera Mayana Br Tarigan Bosker Sinaga Erwin Panggabean Jijon Raphita Sagala Informatics Engineering Study Program STMIK Pelita Nusantara Medan Indonesia Software Engineering Study Program STMIK Pelita Nusantara Medan Indonesia

ISBN: (纸本)9798350399080

关键词： Decision support systems Additives Scholarships Education Decision making Surface acoustic waves Data models

来源：评论

学校读者我要写书评

暂无评论

Analysis and The Preliminary Design for Backend Technology of Disaster Management Information System

Analysis and The Preliminary Design for Backend Technology o...

引用

International Conference on Data and software engineering (ICODSE)

作者： Riyanthi Angrainy Sianturi Jerry Andrianto Pangaribuan Software Engineering Technology Study Program Del Institute of Technology Laguboti North Sumatra Indonesia

关键词：

来源：评论

学校读者我要写书评

暂无评论

Smart Home Gas Sensor Optimization Using Kalman Filter for Data Processing

Smart Home Gas Sensor Optimization Using Kalman Filter for D...

引用

International Conference on Informatics and Computing (ICIC)

作者： Somantri Muhamad Ikhsan Thohir Alun Sujjada Deni Setiawan Ilham Komara Fikri Ardiansyah Efendi Muhamad Muslih Zubaile Bin Abdullah Mohd Zainuri Saringat Department of Software Engineering University Tun Hussein Onn Malaysia Informatics Engineering Study Program Nusa Putra University Sukabumi Indonesia Informatics Engineering Study Program Nusa Putra University Sukabumi Indonesia Department of Software Engineering University Tun Hussein Onn Malaysia Sukabumi Indonesia Department of Information System Nusa Putra University Sukabumi Indonesia Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Bahru Malaysia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

The integration of Internet of Things (IoT) technologies into modern homes has enhanced safety and comfort, particularly in detecting gas leaks, which pose serious fire hazards. Gas leaks can often be detected by smell, but this method fails when no one is present. Previous research using microcontrollers and sensors to detect gas leaks faced challenges with accuracy due to noise interference. This paper proposes the use of a Kalman filter, developed by Rudolf Emil Kalman in 1960, to improve gas leak detection accuracy by filtering out noise. The system comprises an Arduino Nano, ESP8266 WiFi module, MQ-2 gas sensor, buzzer, and ThingSpeak cloud platform. By applying the Kalman filter, noise and data oscillations are reduced, enhancing detection accuracy. Experimental results show the system effectively detects gas leaks, provides real-time data, and triggers alarms. Future improvements could include additional sensors and features to further increase the system’s reliability and functionality.

关键词： Accuracy Noise Sensor phenomena and characterization Sensor systems Real-time systems Kalman filters Internet of Things Reliability Leak detection Gas detectors

来源：评论

学校读者我要写书评

暂无评论

Integration of HTML tables in web pages

Integration of HTML tables in web pages

引用

International Conference on Data and software engineering (ICODSE)

作者： Memen Akbar Fazat Nur Azizah G. A. Putri Saptawati Magister in Informatics Study Program School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Data and Software Engineering Research Group School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

The growing number of Web pages on the Internet introduces a need to combine and integrate information from HTML tables of different Web pages that contain similar information into a single Web page, especially information from the same domain of interest. This paper presents an approach of HTML table integration by combining several existing methods that are proved to solve different issues in the integration processes. The integration of HTML table consists of three phases: (1) extraction of the structure of the tables; (2) integration of the tables' schema; (3) integration of the data values. To solve the conflicts in semantics and naming in the tables schema, domain-ontology is used. To improve quality of integration of data values in the tables, the vector space model is used to check the duplications of data values. As the integration result, a single HTML table is obtained. The approach is implemented on an engine built using Phyton. Results of the experiment shows that the engine can successfully integrate two HTML tables into single table.

关键词： HTML Layout Web pages Semantics Ontologies Particle separators Standards

来源：评论

学校读者我要写书评

暂无评论

Implementation of Malaria Detection Using MobileNetV2 Pretrained Model for Improved Deep Learning Based Diagnostics

Implementation of Malaria Detection Using MobileNetV2 Pretra...

引用

International Conference on Computing, engineering, and Design (ICCED)

作者： Rahmat Hidayat Achmad Solichin Adhitia Erfina Sudin Saepudin Muhamad Muslih Mohd Zainuri Saringat Master of Computer Science Budi Luhur University Jakarta Indonesia Information Systems Study Program Nusa Putra University Sukabumi Indonesia Department of Software Engineering Faculty of Computer Science and Information Technology Tun Hussein Onn Malaysia University

ISBN: (数字)9798331529376

ISBN: (纸本)9798331529383

The Plasmodium parasite, which causes malaria, is an acute fever illness that infects people when a female Anopheles mosquito bites them. It is predicted that malaria would claim 619,000 lives in 2021, with 96% of those deaths occurring in the African continent. We can achieve this by using a microscope to examine thick and thin blood smears. The proficiency of a microscope examiner is crucial for doing microscopic examinations. Consider how time-consuming, ineffective, and costly it would be to examine thousands of malaria cases. Consequently, Creating an automated method for detecting malaria parasites is the aim of this study. We employ a MobileNetV2 pretrained model with CNN technology. Because it has been trained on dozens or even millions of data points, this pretrained model is incredibly light but dependable. There are two main benefits of automatic malaria parasite detection: firstly, it can offer a more accurate diagnosis, particularly in locations with limited resources; secondly, it lowers diagnostic expenses. The optimizer utilizes Adam Weight, the criteria uses NLLLoss, and the model is trained using 32 for batch_size. In the fourteenth epoch, we obtained the maximum accuracy score of 96.26% based on the training data. The outcomes of the predictions demonstrate how excellent this score is. EfficienceNet, DenseNet, AlexNet, and other pretrained models are among the alternatives that scientists are advised to try training with.

关键词： Training Adaptation models Accuracy Costs Malaria Microscopy Data visualization Training data Cost function Data models

来源：评论

学校读者我要写书评

暂无评论

Fostering mathematical literacy amongst primary school students using realistic mathematics education approach

引用

AIP Conference Proceedings 2023年第1期2619卷

作者： Ratih Ayu Apsari Sariyasa Nourma Pramestie Wulandari Tabita Wahyu Triutami Agus Adi Putrawan Mathematics Education Study Program Universitas Mataram Mataram Indonesia Mathematics Education Study Program Universitas Pendidikan Ganesha Singaraja Indonesia Software Engineering Technology Politeknik Negeri Bali Badung Indonesia

The present study aims at comparing different ways of conducting lesson on two-digits multiplication for primary school students using algorithm and Realistic Mathematics Education (RME) approach. Qualitative experiment with user observation method had deliberately chosen as the design of the study as the intention is to figure out the impact of treatment while the subjects stay in natural setting of their habitat. There are three third grade classes consist of 61 primary school students in Singaraja, Bali – Indonesia who participated in this study. The participants were experienced different learning method, which are: (1) conventional class with multiplication algorithm followed by area model, (2) RME followed by multiplication algorithm and (3) RME. The data were gathered from students’ written work on the literacy test. Afterwards, a descriptive quantitative method was performed to analyze the data. The result showed that the third group in which RME approach was employed gained the best average scores to solve the literacy problems. Meanwhile, the second group in which the RME lesson was followed by multiplication algorithm gained the best average scores in solving routine problems. The study implies that RME approach contributes to the better mathematical literacy skills for young students.

关键词：

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：