2022 International Conference on Engineering & MIS (ICEMIS)最新文献_第6页

The Correlation between E-Banking Services Quality and Customers’ Satisfaction During COVID-19 Pandemic: A Case Study 新冠肺炎疫情期间电子银行服务质量与客户满意度的相关性研究

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914243

Shatha Salamin, Feda'a Al-Tawara, A. Qusef

{"title":"The Correlation between E-Banking Services Quality and Customers’ Satisfaction During COVID-19 Pandemic: A Case Study","authors":"Shatha Salamin, Feda'a Al-Tawara, A. Qusef","doi":"10.1109/ICEMIS56295.2022.9914243","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914243","url":null,"abstract":"The quality of the provided services is vital to the existence and to the profitability of any organization, regardless its business type or size. In general, providing and maintaining high levels of quality would increase the organizations’ ability to meet, and sometimes to exceed, the customers’ needs and requirements, and hence obtaining their satisfaction. This in turn would boost the reputation, revenue, and sales. Currently, at the times of COVID-19 crisis, a significant surge in the usage of different electronic means has been witnessed. One of the industries, which its customers’ has shifted to utilizing e-channels, is the banking sector. Therefore, it became challenging for all banks across the world to keep a pace with the rapid technological development and to deliver banking services through various digital channels, while at the same time ensuring the delivery of high quality services. In this research, we examined the quality of the e-banking services during the pandemic and how it affected customers’ satisfaction. The study was performed and carried out based on the feedback got from Jordanian banks’ customers. The results showed that reliability, efficiency, security, privacy, website/app design, and usability of the provided e-banking services, have a significantly positive influence on the overall customers’ satisfaction.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123111270","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

A machine learning approach to predict university students Hookah Smoking (HS) 预测大学生水烟吸烟的机器学习方法

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914204

Ahmed Burhan Mohammed, A. A. M. Al-Mafrji

{"title":"A machine learning approach to predict university students Hookah Smoking (HS)","authors":"Ahmed Burhan Mohammed, A. A. M. Al-Mafrji","doi":"10.1109/ICEMIS56295.2022.9914204","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914204","url":null,"abstract":"In recent years, Hookah (Shisha) has spread in general and large, including classical and electronic types, which have spread especially among young university students. the dataset was used on the university student at the University of Kirkuk, which was collected and analyzed using a special questionnaire about Hookah Smoking (HS) in the university students. The aim of this work is to find out how much the students are concerned about the recent Hookah Smoking in the university students and the extent of their consumption of the time that the student is supposed to devote to his studies at the college. Using the algorithms and techniques of data mining and machine learning to Hookah Smoking (HS), used decision tree and random forest algorithms to classify hookah smoking for university students. Then predict when the students smoke shisha and the negative impact of this time on the health of the university student, which in turn negatively affects his scientific level. Furthermore, best algorithm archive random forest has high classification rate than decision tree. New predictions can also be made for the development of statistics and tables that determined the type and quantity of consumption of Hookah Smoking and other side effects.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"75 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131830137","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

Investigating the transaction Log file to detect malicious transactions 调查事务日志文件以检测恶意事务

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914102

O. B. Omran

引用次数: 0

Development of an intellectual model of personalized learning 发展个性化学习的智力模式

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914351

Leila Irsaliyeva, G. Bekmanova, Shadi A. Aljawarneh

引用次数: 0

Search System over e-Commerce Data for Business Users 面向商业用户的电子商务数据搜索系统

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914107

M. Kargar

{"title":"Search System over e-Commerce Data for Business Users","authors":"M. Kargar","doi":"10.1109/ICEMIS56295.2022.9914107","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914107","url":null,"abstract":"Web search engines such as Google and Bing provide an easy and convenient way to find web pages that contain input keywords. This provides a user-friendly interface for non-technical users to explore the Web and find relevant data among thousands of Web pages. While numerous advancement has been made to store e-commerce data in the cloud, we have not seen great advancement in terms of search over such data. E-commerce data is usually stored as structured data in relational and graph databases. Thus, an answer to a query keyword is composed of different pieces of data stitched together. As of now, the main method to find answers over this structured data is through predefined search forms. However, these search forms are limited, and developing a new search form is time consuming and expensive. In this work, we present an easy way to explore structured e-commerce data for business users that eliminate the dependency to predefined forms. The new search system is similar to Google, in which the interface is essentially a text box, and non-technical business users enter input keywords into the system. The output is a portion of the data, that covers the input keywords. We propose a new ranking strategy based on machine learning to rank more relevant answers ahead of less relevant ones. Our experiments show this ranking strategy is successful in returning relevant answers.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123615630","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

Modeling and Load Flow Analysis for Al-Bayda City Network Integrating Battery Energy Storage and Photovoltaic System Al-Bayda市网电池储能与光伏系统集成建模及潮流分析

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914163

Aboubakr Saed, A. Nouh

引用次数: 2

A Machine Learning framework for Covid Detection Using Cough Sounds 利用咳嗽声检测新冠病毒的机器学习框架

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914391

Panigrahi Srikantrh, C. Behera

{"title":"A Machine Learning framework for Covid Detection Using Cough Sounds","authors":"Panigrahi Srikantrh, C. Behera","doi":"10.1109/ICEMIS56295.2022.9914391","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914391","url":null,"abstract":"The present COVID-19 diagnosis necessitates direct patient interaction, involves variable duration to get outcomes, and is costly. In certain poor nations, this is even unreachable to the populace at large, leading to a shortage of medical care. Therefore, a moderate, rapid, but also readily available method for the diagnosis of COVID-19 is essential. Several initiatives have been made to use smartphone-collected sounds and coughs to build machine learning algorithms that can categories and discriminate COVID-19 sounds with healthy tissue. The majority of prior studies used sounds like breathing or coughing to train their analyzers as well as get impressive outcomes. In order to carry out this significant investigation, we used this Coswara dataset, which contains recordings of nine distinct sound varieties of the COVID-19 state of cough, breathing, and speech. COVID-19 could be diagnosed more accurately using trained models on a variety of audio instead of a specific model trained on cough alone. This work examines the potential prospect of using machine learning techniques to enhance the identification of COVID-19 in such an initial and non-invasive manner through the monitoring of audio sounds. The XGBoost outperforms existing benchmark classification algorithms and achieves 92% accuracy with all sounds. Vowel/e/sound random forest with 98.36% was determined to be among the most effective, and the vowel/e/can also evaluated for the purpose of detecting compared to the other vowels; the impact of COVID-19 on sound quality is more precise.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126874650","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

Applications of Sensor Networks and Remote Sensing in Environmental Sustainability: A Review 传感器网络与遥感在环境可持续性研究中的应用综述

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914379

T. Khaleel, Faten A Mustafa, M. Khattab

引用次数: 0

A Framework for Exploring Factors Affecting the Usability of Electronic Payment Systems 探讨影响电子支付系统可用性因素的框架

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914123

Osama Alarafee, O. Sallabi, Ahmed Altriki, Abdelsalam M. Maatuk

{"title":"A Framework for Exploring Factors Affecting the Usability of Electronic Payment Systems","authors":"Osama Alarafee, O. Sallabi, Ahmed Altriki, Abdelsalam M. Maatuk","doi":"10.1109/ICEMIS56295.2022.9914123","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914123","url":null,"abstract":"The development in communications and information technology led to the emergence of electronic payment services (e-payment). However, the use and acceptance rate of such services in Libya is still limited. This paper explores the factors affecting the usability of e-payment services for some Libyan banks through a proposed framework using the Technology Acceptance Model (TAM)and Technology Readiness Index (TRI) models. The framework includes ISO Usability Standards as an alternative to external variables in TAM. Data were collected from 287 customers from Al Wahda Bank and Bank of Commerce and Development through a questionnaire that was distributed manually and through Google Forms, in addition to interviews with 20 employees of both banks. The SPSS software was used to analyze the collected data to answer research questions and test hypotheses. Six experts in the field have validated the proposed framework from two scientific departments in the Faculty of Information Technology, University of Benghazi, Libya, namely, the Department of Information Systems and the Department of Software Engineering. The results showed that all the factors that were used to build the research framework affect the acceptance and use of e-payment services. As a result, some recommendations have been suggested regarding increasing the rate of acceptance and use of electronic payment systems.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"11 3 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116791092","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: 2

Performance Evaluation of CNN-based Transfer Learning for COVID-19 Pneumonia Identification with Various Levels of Layer Partial Freezing 基于cnn的迁移学习在不同层次部分冻结下的COVID-19肺炎识别性能评价

2022 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2022-07-04 DOI: 10.1109/ICEMIS56295.2022.9914248

Kefah Alissa, Rasha Obeidat, Samer Alqudah, Rami Obeidat, Qusai Ismail

{"title":"Performance Evaluation of CNN-based Transfer Learning for COVID-19 Pneumonia Identification with Various Levels of Layer Partial Freezing","authors":"Kefah Alissa, Rasha Obeidat, Samer Alqudah, Rami Obeidat, Qusai Ismail","doi":"10.1109/ICEMIS56295.2022.9914248","DOIUrl":"https://doi.org/10.1109/ICEMIS56295.2022.9914248","url":null,"abstract":"Pneumonia is a serious complication of coronavirus that can be fatal, especially among the elderly. Early diagnosis of COVID-19 pneumonia increases the likelihood of recovery and prevents the further spread of the virus. Chest X-ray (CXR) images can be utilized to detect specific signs associated with COVID-19, but this needs well-trained radiologists. Alternatively, deep Convolutional Neural Network (CNN)-based models have been successfully applied to diagnose COVID-19 and the associated pneumonia from CXR using transfer learning. This study explores various levels combining layer fine-tuning and freezing in two popular pretrained CNN-based models, VGG16 and ResNET50, and how these combinations influence the learning transferability of pretrained models to improve the identification of COVID-19 pneumonia from CXR images. We found that robust models can be learned with less labeled data in a shorter training time by applying partial freezing instead of the full network fine-tuning without sacrificing a significant portion of their diagnostic performance.","PeriodicalId":191284,"journal":{"name":"2022 International Conference on Engineering & MIS (ICEMIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114638276","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