发布求助
文献互助 智能选刊 最新文献

Artificial intelligence and applications (Commerce, Calif.)最新文献

筛选
英文 中文
An Interactive and Scenario-based Simulation Gaming System for Business Education using Game Engine and Machine Learning 基于游戏引擎和机器学习的商业教育交互式和基于场景的模拟游戏系统
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-10-29 DOI: 10.5121/csit.2022.121817
Ying Ma, Yu Sun
{"title":"An Interactive and Scenario-based Simulation Gaming System for Business Education using Game Engine and Machine Learning","authors":"Ying Ma, Yu Sun","doi":"10.5121/csit.2022.121817","DOIUrl":"https://doi.org/10.5121/csit.2022.121817","url":null,"abstract":"Technology has become increasingly vital in society. The COVID-19 pandemic demonstrated how useful technology was in keeping society running, especially education [15]. One major trend is the use of simulations as a tool for education. Business is one of the fields that could benefit massively from the implementation of new educational simulations. For this study, a survey was conducted to gauge their prior educational experience and interest in fields such as business and computer science. Additionally, the survey participants were questioned on their previous experiences with using interactive simulations. The study had fifty-one participants both complete the survey and give consent to have their data shared in this research paper. These participants were given an additional survey to either test a business simulation or watch a video of one and respond whether they learned from it. The results indicate that although most people would want to play a game that taught more about business, only roughly 45% of individuals expressed interest in the topic of business. Furthermore, the survey responses also indicated that a large majority of individuals would also prefer more interactive educational simulations for other topics. The reception to the business simulation was mostly positive, and participants indicated that it was effective at helping them learn business. Overall, it was concluded that there is not enough access to business simulations to meet the public’s interest, and either more should be created or existing ones should be made better known.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"100 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73419522","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
Automatized Bioinformatics Data Integration in a Hadoop-based Data Lake 基于hadoop的数据湖中的自动化生物信息学数据集成
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-05-28 DOI: 10.5121/csit.2022.120912
Julia Colleoni Couto, Olimar Teixeira Borges, Duncan Dubugras Ruiz
{"title":"Automatized Bioinformatics Data Integration in a Hadoop-based Data Lake","authors":"Julia Colleoni Couto, Olimar Teixeira Borges, Duncan Dubugras Ruiz","doi":"10.5121/csit.2022.120912","DOIUrl":"https://doi.org/10.5121/csit.2022.120912","url":null,"abstract":"When we work in a data lake, data integration is not easy, mainly because the data is usually stored in raw format. Manually performing data integration is a time-consuming task that requires the supervision of a specialist, which can make mistakes or not be able to see the optimal point for data integration among two or more datasets. This paper presents a model to perform heterogeneous in-memory data integration in a Hadoop-based data lake based on a top-k set similarity approach. Our main contribution is the process of ingesting, storing, processing, integrating, and visualizing the data integration points. The algorithm for data integration is based on the Overlap coefficient since it presented better results when compared with the set similarity metrics Jaccard, Sørensen-Dice, and the Tversky index. We tested our model applying it on eight bioinformatics-domain datasets. Our model presents better results when compared to an analysis of a specialist, and we expect our model can be reused for other domains of datasets.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83659415","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
An Improved NLP for Syntactic and Semantic Matching using Bidirectional LSTM and Attention Mechanism 基于双向LSTM和注意机制的句法语义匹配改进NLP
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-05-28 DOI: 10.5121/csit.2022.120906
Fadya Abbas
{"title":"An Improved NLP for Syntactic and Semantic Matching using Bidirectional LSTM and Attention Mechanism","authors":"Fadya Abbas","doi":"10.5121/csit.2022.120906","DOIUrl":"https://doi.org/10.5121/csit.2022.120906","url":null,"abstract":"Dealing with extensive amounts of textual data requires an efficient deep learning model to be adapted. However, the following reasons; the highly ambiguous and complex nature of many prosodic phrasing also enough dataset suitable for system training is always limited, cause big challenges for training the NLP models. This proposed conceptual framework aims to provide an understanding and familiarity with the elements of modern deep learning networks for NLP use. In this design, the encoder uses Bidirectional Long Short-Term Memory deep network layers, to encode the test sequences into more context-sensitive representations. Moreover, the attention mechanism is mainly used to generate a context vector that is determined from distinct alignment scores at different word positions, hence, it can focus more on a small words' subset. Hence, the attention mechanism improved the model data efficiency, and the model performance is validated using an example of data sets that show promise for a real-life application.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75205465","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
FitConnect: An Intelligent Mobile Application to Automate the Exercise Tracking and Personalization using Big Data Analysis FitConnect:一个智能移动应用程序，使用大数据分析自动跟踪和个性化运动
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-05-28 DOI: 10.5121/csit.2022.120916
Michael Li, Yu Sun
{"title":"FitConnect: An Intelligent Mobile Application to Automate the Exercise Tracking and Personalization using Big Data Analysis","authors":"Michael Li, Yu Sun","doi":"10.5121/csit.2022.120916","DOIUrl":"https://doi.org/10.5121/csit.2022.120916","url":null,"abstract":"In recent times with the pandemic, many people have been finding exercise as an outlet. However, this situation has made it difficult for people to connect with one another and share their progress with friends and family. This paper designs an application to utilize big data, a social media network, and exercise tracking [1][2]. The program aims to help people connect with others to support one another in their fitness journey. Through various experiments we demonstrated that the application was effective in connecting users with each other and overall improving their fitness experience. Additionally, people of all experience levels in fitness were generally satisfied with the performance of FitConnect, with those of higher experience being less satisfied than those with lesser experience. This application will facilitate getting into fitness through positive means for any person who wants to pursue a healthy lifestyle, whether in the walls of their house, a swimming pool, or a gym [3].","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"59 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89059925","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
Dempster-Shafer and Alpha Stable Distance for Multi-Focus Image Fusion 多焦点图像融合的Dempster-Shafer和Alpha稳定距离
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-05-28 DOI: 10.5121/csit.2022.120923
R. Sabre, I. Wahyuni
{"title":"Dempster-Shafer and Alpha Stable Distance for Multi-Focus Image Fusion","authors":"R. Sabre, I. Wahyuni","doi":"10.5121/csit.2022.120923","DOIUrl":"https://doi.org/10.5121/csit.2022.120923","url":null,"abstract":"The aim of multi-focus image fusion is to integrate images with different objects in focus so that obtained a single image with all objects in focus. In this paper, we present a novel multi-focus image fusion method based using Dempster-Shafer Theory and alpha stable distance. This method takes into consideration the information in the surrounding region of pixels. Indeed, at each pixel, the method exploits the local variability that is calculated from quadratic difference between the value of pixel I(x,y) and the value of all pixels that belong to its neighbourhood. Local variability is used to determine the mass function. In this work, two classes in DempsterShafer Theory are considered: blurred part and focus part. We show that our method give the significant result.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"266 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82791280","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
Use of Machine Learning for Active Public Debt Collection with Recommendation for the Method of Collection Via Protest 机器学习在主动公共债务催收中的应用，并推荐通过抗议催收的方法
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-05-28 DOI: 10.5121/csit.2022.120909
Álvaro Farias Pinheiro, Denis Silva da Silveira, Fernando Lima Neto
{"title":"Use of Machine Learning for Active Public Debt Collection with Recommendation for the Method of Collection Via Protest","authors":"Álvaro Farias Pinheiro, Denis Silva da Silveira, Fernando Lima Neto","doi":"10.5121/csit.2022.120909","DOIUrl":"https://doi.org/10.5121/csit.2022.120909","url":null,"abstract":"This work consists of applying supervised Machine Learning techniques to identify which types of active debts are appropriate for the collection method called protest, one of the means of collection used by the Attorney General of the State of Pernambuco. For research, the following techniques were applied, Neural Network (NN), Logistic Regression (LR), and Support Vector Machine (SVM). The NN model obtained more satisfactory results among the other classification techniques, achieving better values in the following metrics: Accuracy (AC), FMeasure (F1), Precision (PR), and Recall (RC) with indexes above 97% in the evaluation with these metrics. The results showed that the construction of an Artificial Intelligence/Machine Learning model to choose which debts can succeed in the collection process via protest could bring benefits to the government of Pernambuco increasing its efficiency and effectiveness.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"94 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83903327","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
An Multi-Dimensional Video Reverse Search Engine using Computer Vision and Machine Learning 基于计算机视觉和机器学习的多维视频反向搜索引擎
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-05-28 DOI: 10.5121/csit.2022.120911
Qian Chen, Yu Sun
{"title":"An Multi-Dimensional Video Reverse Search Engine using Computer Vision and Machine Learning","authors":"Qian Chen, Yu Sun","doi":"10.5121/csit.2022.120911","DOIUrl":"https://doi.org/10.5121/csit.2022.120911","url":null,"abstract":"Online media has become a mainstream of current society. With the rapid development of video data, how to acquire desired information from certain provided media is an urgent problem nowadays. The focus of this paper is to analyse a sufficient algorithm to address the issue of dynamic complex movie classification. This paper briefly demonstrates three major methods to acquire data and information from movies, including image classification, object detection, and audio classification. Its purpose is to allow the computer to analyse the content inside of each movie and understand video content. Movie classification has high research and application value. By implementing described methods, finding the most efficient methods to classify movies is the purpose of this paper. It is foreseeable that certain methods may have advantages over others when the clips are more special than others in some way, such as the audio has several significant peaks and the video has more content than others. This research aims to find a middle ground between accuracy and efficiency to optimize the outcome.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84771500","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
An Intelligent Alarm Clock System based on Big Data and Artificial Intelligence 基于大数据和人工智能的智能闹钟系统
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-05-28 DOI: 10.5121/csit.2022.120917
Leon He, Angwei Li
{"title":"An Intelligent Alarm Clock System based on Big Data and Artificial Intelligence","authors":"Leon He, Angwei Li","doi":"10.5121/csit.2022.120917","DOIUrl":"https://doi.org/10.5121/csit.2022.120917","url":null,"abstract":"Sleep is a crucial part of a person’s daily routine [1]. However, oversleeping is often a hindrance to many people’s daily life. This paper develops an application to prevent people from oversleeping or falling back to sleep after snoozing the alarm. We applied our application to fellow students and conducted a qualitative evaluation of the approach. The results show that the application improves the chances of waking up to a significant degree.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87668598","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
Facial Emotion Recognition in Imbalanced Datasets 不平衡数据集中的面部情感识别
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-05-28 DOI: 10.5121/csit.2022.120920
Sarvenaz Ghafourian, R. Sharifi, A. Baniasadi
{"title":"Facial Emotion Recognition in Imbalanced Datasets","authors":"Sarvenaz Ghafourian, R. Sharifi, A. Baniasadi","doi":"10.5121/csit.2022.120920","DOIUrl":"https://doi.org/10.5121/csit.2022.120920","url":null,"abstract":"The wide usage of computer vision has become popular in the recent years. One of the areas of computer vision that has been studied is facial emotion recognition, which plays a crucial role in the interpersonal communication. This paper tackles the problem of intraclass variances in the face images of emotion recognition datasets. We test the system on augmented datasets including CK+, EMOTIC, and KDEF dataset samples. After modifying our dataset, using SMOTETomek approach, we observe improvement over the default method.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89706288","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
Data Visualization of Graph-Based Threat Detection System 基于图的威胁检测系统的数据可视化
Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2022-05-28 DOI: 10.5121/csit.2022.120913
Ilnaz Nikseresht, I. Traoré, A. Baniasadi
{"title":"Data Visualization of Graph-Based Threat Detection System","authors":"Ilnaz Nikseresht, I. Traoré, A. Baniasadi","doi":"10.5121/csit.2022.120913","DOIUrl":"https://doi.org/10.5121/csit.2022.120913","url":null,"abstract":"The Activity and Event Network Model (AEN) is a new security knowledge graph that leverages large dynamic uncertain graph theory to capture and analyze stealthy and longterm attack patterns. Because the graph is expected to become extremely large over time, it can be very challenging for security analysts to navigate it and identify meaningful information. We present different visualization layers deployed to improve the graph model’s presentation. The main goal is to build an enhanced visualization system that can more simply and effectively overlay different visualization layers, namely edge/node type, node property, node age, node’s probability of being compromised, and the threat horizon layer. Therefore, with the help of the developed layers, the network security analysts can identify suspicious network security events and activities as soon as possible.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78011473","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信