2022 International Conference on Computer and Applications (ICCA)最新文献_第3页

A Machine Learning Based Analysis Between Climate Change and Human Health: A Correlational Study 基于机器学习的气候变化与人类健康分析:一项相关研究

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039484

M. Fahim, Md. Ekhtiar Uddin, Rizve Ahmed, Md. Rashedul Islam, Nadeem Ahmed

{"title":"A Machine Learning Based Analysis Between Climate Change and Human Health: A Correlational Study","authors":"M. Fahim, Md. Ekhtiar Uddin, Rizve Ahmed, Md. Rashedul Islam, Nadeem Ahmed","doi":"10.1109/ICCA56443.2022.10039484","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039484","url":null,"abstract":"Climate change has huge impact in human health. Social and environmental determinants of health are affected by climate change. According to World Health Organization (WHO) states that the strokes, most heart diseases, cancers, diabetes, chronic kidney diseases are the top causes of death. Although there are direct factors behind these diseases, climate change could have an invisible role in the rise of these diseases. Researchers are using various technologies to find correlations between climate change and human health, particularly trying to find out which elements of the weather are more responsible. Although there are explicit reasons for the formation of these diseases. But few studies have been conducted on passive factors that have a hidden but serious effect on the formation of these diseases. In this regard, machine learning approach can help us to correlate between the features of climate and various human diseases. Following that, the study uses Pearson, Spearman and Phi-K algorithms to determine the possibilities of correlation between human health and climate change. The research states that Carbon Monoxide (CO) have 98% of correlation and carbon dioxide (CO2) has 95% of correlation with cardiovascular disease (Ca).","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120964145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Ranking of SADC Countries E-Government Information Services Based on Citizen Satisfaction 基于公民满意度的南共体国家电子政务信息服务排名

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039643

C. Mukumbareza, O. Olugbara, Timothy T. Adeliyi

引用次数: 0

Digital Educational Platforms in Modern Russia: Technologies, Solutions, Risks and Services in The Context of Smartization 现代俄罗斯的数字教育平台:智能化背景下的技术、解决方案、风险和服务

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039674

D. Maltseva, D. Fedotov, Andrey Aleynikov, O. Safonova

{"title":"Digital Educational Platforms in Modern Russia: Technologies, Solutions, Risks and Services in The Context of Smartization","authors":"D. Maltseva, D. Fedotov, Andrey Aleynikov, O. Safonova","doi":"10.1109/ICCA56443.2022.10039674","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039674","url":null,"abstract":"The problems of digitalization of education, e-learning and artificial intelligence tools implementation are extremely relevant and require a comprehensive academic solution. The purpose of the presented article is to examine the main digital platforms and services in education and the grounds for the choice of modern educational strategies by Russian youth based on the introduction of the “platform approach”. To analyze the efficiency of the development of digital educational services and identify the specifics of political values that deter-mine the criteria for their choice, theauthors conducted focus groups with students of St. Petersburg State University and a program regional survey of representatives of the younger generation in the online questionnaire format (1111 respondents aged 16 to 35 years). In the course of the study, various assessments of digital platforms available in the field of education were obtained, in particular: aggregator platforms; platforms aimed at providing services; platforms that contribute to the implementation of state educational and cultural trajectories.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116980705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smart Healthcare Medical Bracelet using the Internet of Things 使用物联网的智能医疗手环

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039622

Muna M. Hummady, H. Fadhil

引用次数: 0

Diverse Approaches Have Been Presented To Mitigate SQL Injection Attack, But It Is Still Alive: A Review 已经提出了多种方法来减轻SQL注入攻击，但它仍然存在:回顾

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039611

Mohammad Qbea'h, S. Alrabaee, M. Alshraideh, K. Sabri

{"title":"Diverse Approaches Have Been Presented To Mitigate SQL Injection Attack, But It Is Still Alive: A Review","authors":"Mohammad Qbea'h, S. Alrabaee, M. Alshraideh, K. Sabri","doi":"10.1109/ICCA56443.2022.10039611","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039611","url":null,"abstract":"A huge amount of stored and transferred data is expanding rapidly. Therefore, managing and securing the big volume of diverse applications should have a high priority. However, Structured Query Language Injection Attack (SQLIA) is one of the most common dangerous threats in the world. Therefore, a large number of approaches and models have been presented to mitigate, detect or prevent SQL injection attack but it is still alive. Most of old and current models are created based on static, dynamic, hybrid or machine learning techniques. However, SQL injection attack still represents the highest risk in the trend of web application security risks based on several recent studies in 2021. In this paper, we present a review of the latest research dealing with SQL injection attack and its types, and demonstrating several types of most recent and current techniques, models and approaches which are used in mitigating, detecting or preventing this type of dangerous attack. Then, we explain the weaknesses and highlight the critical points missing in these techniques. As a result, we still need more efforts to make a real, novel and comprehensive solution to be able to cover all kinds of malicious SQL commands. At the end, we provide significant guidelines to follow in order to mitigate such kind of attack, and we strongly believe that these tips will help developers, decision makers, researchers and even governments to innovate solutions in the future research to stop SQLIA.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133348393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Application Mapping Onto Network on Chip Using Particul Swarm Optimisation With Genetic Algorithm “GAPSO” 基于遗传算法“GAPSO”的特定群优化芯片网络应用映射

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039542

Maamar Bougherara, Amara Rafik, Rebiha Kemcha

引用次数: 0

BADR: A Talking Face To Teach Arabic Vocabulary Under COVID-19 BADR:一张会说话的脸，教新冠疫情下的阿拉伯语词汇

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039587

Z. Ali, M. Saleh, S. Al-Máadeed, Jihad Mohamad Jaam, D. Massaro, Imad Salah

引用次数: 0

Tibia Player Profiling and Modeling using Machine Learning 胫骨球员剖析和建模使用机器学习

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039671

Mohamed ElSayed, A. Hamdy, Ahmad Mostafa

{"title":"Tibia Player Profiling and Modeling using Machine Learning","authors":"Mohamed ElSayed, A. Hamdy, Ahmad Mostafa","doi":"10.1109/ICCA56443.2022.10039671","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039671","url":null,"abstract":"User engagement is one of the critical factors for the success of software systems. The more interactive a system is, the higher the chance of achieving its goals. Recently, the number of users who play Multiplayer Online Role-Playing Games (MMORPG) has become massive. This growth in user numbers led to different player types with different preferences and skills. Automatic modeling of player types enables the design of adaptive games and consequently improves the player experience. This paper proposes a framework for profiling and modeling the player's behavior. In-game players' data were collected from the Tibia game open server. Player profiles were built with the assistance of Tibia experts. Then six classifiers Random Forests, Artificial neural networks (ANNs), Stochastic gradient descent (SGD), Decision trees, Naïve Bayes, and K-nearest neighbors (KNN), were trained using the built profiles to model the player types. Finally, the Bartle test was given to sample players; the profiles of these players were used to test the previously trained player-type classifiers. Experimental results showed that a classification accuracy equal to 90% could be achieved.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126169990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IoT E-health System for Cardiac Telemonitoring 用于心脏远程监测的物联网电子健康系统

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039546

H. Fadhil, Haneen Salah Hassan, Esraa Muneer Abed

引用次数: 0

Twitter sentiment analysis to understand students' perceptions about online learning during the Covid'19 推特情绪分析，了解新冠肺炎期间学生对在线学习的看法

2022 International Conference on Computer and Applications (ICCA) Pub Date : 2022-12-20 DOI: 10.1109/ICCA56443.2022.10039483

F. Al-Obeidat, Mariam Ishaq, Ahmed Shuhaiber, Adnan Amin

{"title":"Twitter sentiment analysis to understand students' perceptions about online learning during the Covid'19","authors":"F. Al-Obeidat, Mariam Ishaq, Ahmed Shuhaiber, Adnan Amin","doi":"10.1109/ICCA56443.2022.10039483","DOIUrl":"https://doi.org/10.1109/ICCA56443.2022.10039483","url":null,"abstract":"In 2019, the Covid-19 pandemic led to emergency changes in the educational sector as a precautionary measure to limit the spread of the Covid-19 virus and protect the health and safety of students. Educational institutes couldn't escape this havoc; by April 2020, 189 countries had suspended school, affecting 89 percent of the world's students. Since the epidemic began, online learning has completely taken over the educational industry, leaving students with no choice but to adapt to the brand-new virtual learning environment. Consequently, people turned to social media, such as Twitter, to express their feelings, opinions, and concerns about online learning as an alternative to traditional physical classes. The new online learning platforms, associated technologies, and procedures have been widely discussed on Twitter. In the proposed study, we have presented a systematic approach to analyze the public opinions and perceptions about online learning using Twitter sentiment analysis (TSA) through Twitter's API and term frequency-inverse document frequency (TF-IDF) technique. Further, we classified the sentiments into certain clusters, such as positive, negative, and neutral, using a text mining approach (i.e., lexicons). Moreover, we have uncovered these sentiments and visualized the clusters using visualization techniques such as word clouds and bar charts. Additionally, by using TF-IDF, we measured the strength of words that people use to express their opinions about online schooling and explored to what extent it affects the overall results of our analysis.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129392989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0