International Journal of Advances in Applied Computational Intelligence最新文献_第2页

Deep Learning Model for Early Weed Detection in Agriculture Application 深度学习模型在农业杂草早期检测中的应用

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.020103

A. Salamai, Nouran Ajabnoor, Ali Mohammad Khawaji

引用次数: 0

Natural Language Generation and Creative Writing A Systematic Review 自然语言生成与创意写作系统综述

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.010105

Abdulla M. Alsharhan

{"title":"Natural Language Generation and Creative Writing A Systematic Review","authors":"Abdulla M. Alsharhan","doi":"10.54216/ijaaci.010105","DOIUrl":"https://doi.org/10.54216/ijaaci.010105","url":null,"abstract":"Among studies on natural language generation (NLG), computational creativity, and human-computer interaction; there is a vision of witnessing these tools collaborating with humans in generating and authoring creative content. This study aims to systematically review published studies discussing creative writing and story generation during the period of 2016-2021. This work seeks to identify the primary research methods used in NLG and creative writing studies, to locate how these studies are distributed geographically, and finally, to classify the subfields or common keywords primarily used in NLG involving creative writing. The findings suggest that experiment studies and problem-solving were the most common research methods in NLG and creative writing. Major identified themes in the reviewed articles include story generation, language models, and co-creativity, along with some gaps in foreign language translation and humour generation studies. The majority of the studies suggest that NLG tasks had a positive impact on creative writing. Common tasks related to NLG and creative writing are typically using keywords such as story generation, co-creativity, co-writing, user interface and writing tools. In future work, we aim to explore more GPT-3 capabilities in creative writing, in addition to creative writing applications in foreign language translation tasks.","PeriodicalId":166689,"journal":{"name":"International Journal of Advances in Applied Computational Intelligence","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127945075","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 and Evaluation Risks of Human Error Factors in Uncertain and Imprecision Information 不确定和不精确信息中人为错误因素的风险排序与评估

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.030103

Shimaa S. Mohamed, A. Abdel-Monem

{"title":"Ranking and Evaluation Risks of Human Error Factors in Uncertain and Imprecision Information","authors":"Shimaa S. Mohamed, A. Abdel-Monem","doi":"10.54216/ijaaci.030103","DOIUrl":"https://doi.org/10.54216/ijaaci.030103","url":null,"abstract":"Reasons for Human Error, the term risk is used to describe the many potential causes of human mistakes. Capabilities, organizational culture, job complexity, and environmental variables are just a few of the many aspects that fall under this category. Accidents, improvements in safety, and gains in productivity may all benefit from a better understanding of and approach to minimizing human error. This paper highlights the necessity for comprehensive methods and actions to limit the effect of human error by providing an overview of the primary human error components and their implications for risk management. Due to various criteria, the concept of multi-criteria decision-making (MCDM) is used to deal with various criteria. This paper used the MCDM tools to rank and evaluate the risks of human error factors. The DEMATEL method is a MCDM tool is used to compute the weights of these factors and rank the risks. The DEMATEL method is integrated with the neutrosophic set to deal with uncertain information. This paper used the single-valued neutrosophic set with three values (truth, indeterminacy, and falsity) values. The twenty risks are identified in this paper and ranked.","PeriodicalId":166689,"journal":{"name":"International Journal of Advances in Applied Computational Intelligence","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126496291","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

Interval Valued Neutrosophic VIKOR Method for Assessment Green Suppliers in Supply Chain 供应链绿色供应商评价的区间值中性VIKOR方法

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.020102

Shereen .., M. .., Mahmoud M. Ismail

引用次数: 4

Adoption of Google Glass technology: PLS-SEM and machine learning analysis 采用谷歌玻璃技术:PLS-SEM和机器学习分析

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.010101

Rose Aljanada, Ghadeer W. Abukhalil, Aseel M. Alfaisal, Raghad M. Alfaisal

{"title":"Adoption of Google Glass technology: PLS-SEM and machine learning analysis","authors":"Rose Aljanada, Ghadeer W. Abukhalil, Aseel M. Alfaisal, Raghad M. Alfaisal","doi":"10.54216/ijaaci.010101","DOIUrl":"https://doi.org/10.54216/ijaaci.010101","url":null,"abstract":"This inclination is caused by the fact that the topic of technology incorporation has not received enough attention. The use of information and communication technology (ICT) like Google Glass has allowed instructors and students to engage in a technology-based educational setting because of the subsequent dramatic transformation. Yet, just a small number of schools and universities have started using Google Glass in their classrooms. This research aims to look at Google Glass adoption in the UAE. We reasoned those educating instructors and students about Google Glass's effective capabilities would help them make up their minds about adopting the device in classrooms. The layout of a framework that connects TAM with other influential factors is discussed in this study. To improve the interaction between instructors and learners in the classroom, this research explored the incorporation of the technology acceptance model (TAM) with the widely acknowledged potent features of the gadget, such as the teaching and learning mediator, Motivation, and trust and information privacy. 750 questionnaires from various universities were acquired in total. According to the student's survey data gathered, the research model was studied using partial least squares-structural equation modeling (PLS-SEM) and machine learning models. The findings showed a significant association between motivation, trust, and privacy, as well as perceived usefulness and perceived ease of use of Google Glass. Moreover, the adoption of Google Glass was substantially correlated with perceived usefulness and perceived ease of use. The perceived ease of use, trust, and privacy are all important factors in the adoption of Google Glass. These results' practical implications for subsequent research were also discussed.","PeriodicalId":166689,"journal":{"name":"International Journal of Advances in Applied Computational Intelligence","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124668771","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: 3

Deep Learning Defenders: Harnessing Convolutional Networks for Malware Detection 深度学习防御者:利用卷积网络进行恶意软件检测

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.010203

A. Abdelmonem, Shimaa S. Mohamed

引用次数: 2

Employees Motivational Factors toward Knowledge Sharing: A Systematic Review 员工对知识共享的激励因素:系统回顾

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.010104

H. ., Ahmed A. Khamees

{"title":"Employees Motivational Factors toward Knowledge Sharing: A Systematic Review","authors":"H. ., Ahmed A. Khamees","doi":"10.54216/ijaaci.010104","DOIUrl":"https://doi.org/10.54216/ijaaci.010104","url":null,"abstract":"Knowledge sharing between employees in positions at different levels in the organization chart is always a big challenge. It is important to study the main factors that affects employees’ knowledge. A number of literature reviews that sheds the light on knowledge management (KM) was conducted, which focuse on the employee knowledge sharing motivations. However, analyzing the knowledge sharing among employees is still questioned and requires further examination. The main objective of this systematic review is to analyze the state-of-the-are KM studies that involved the factors that affect employees’ intention to share their tacit knowledge. In this systematic review, we explored the tacit knowledge sharing and reviewed 115 recent papers. After filtering and reviewing we extracted many factors, then we categorize them into twelve categories: (ordered by most frequent studied), namely: trusting environment, culture, organization encouragement, rewards, Information system, intrinsic motivations, equal opportunities, job security, the community of practice, time pressure, knowledge confidence and accuracy, and years of experience. This systematic review is important to organizations which seek to share, preserve tacit knowledge and experiences, and gain competitive edge.","PeriodicalId":166689,"journal":{"name":"International Journal of Advances in Applied Computational Intelligence","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116790382","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

Car Sharing Station Choice by using Interval Valued Neutrosophic WASPAS Method 区间值中性WASPAS方法在汽车共享站点选择中的应用

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.020203

A. Abdelaziz, Alia N. Mahmoud Nova

引用次数: 2

Extreme Gradient Boosting (XGBoost) and Support Vector Machine (SVM) models for Hepatitis C Prediction 极端梯度增强(XGBoost)和支持向量机(SVM)模型用于丙型肝炎预测

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.030202

Alber Aziz, Haitham Rizk Fadlallah

引用次数: 0

Wind Turbine Prediction using Deep Learning and Long Short Term Memory (LSTM) 基于深度学习和长短期记忆(LSTM)的风电机组预测

International Journal of Advances in Applied Computational Intelligence Pub Date : 1900-01-01 DOI: 10.54216/ijaaci.030205

Myvizhi. M., A. Abdel-Monem

引用次数: 0