International Journal of Computing and Artificial Intelligence最新文献

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The role of machine learning in transforming business intelligence 机器学习在商业智能转型中的作用
International Journal of Computing and Artificial Intelligence Pub Date : 2023-01-01 DOI: 10.33545/27076571.2023.v4.i1a.60
J. Bharadiya
{"title":"The role of machine learning in transforming business intelligence","authors":"J. Bharadiya","doi":"10.33545/27076571.2023.v4.i1a.60","DOIUrl":"https://doi.org/10.33545/27076571.2023.v4.i1a.60","url":null,"abstract":"Machine Learning (ML) has emerged as a transformative force in the field of Business Intelligence (BI), revolutionizing the way organizations extract insights from vast amounts of data. This abstract explores the role of ML in transforming BI and its impact on decision-making processes. ML enables efficient data collection and preparation through integration, cleaning, and feature engineering. Predictive analytics powered by ML facilitates forecasting, customer segmentation, demand prediction, and churn analysis. ML's anomaly detection capabilities identify outliers, fraud, and operational anomalies. Natural Language Processing (NLP) empowers sentiment analysis, text mining, and chatbots for enhanced customer support. Recommendation systems provide personalized suggestions using ML techniques like collaborative and content-based filtering. Once the data is prepared, it is subjected to analysis using various techniques and algorithms. ML-driven data visualization and reporting enable interactive dashboards and real-time monitoring. The benefits of ML in BI include improved accuracy, faster decision-making, enhanced customer experience, cost reduction, and competitive advantage. However, challenges such as data quality, ethics, interpretability, and skill gaps need to be addressed. Future trends include advanced ML techniques, augmented analytics, edge computing, and ethical AI practices. ML's role in transforming BI is pivotal, urging businesses to embrace ML to unlock its full potential and gain a competitive edge.","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116117178","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
Implementation of LoRa and Bluetooth technology in farming application with performance analysis LoRa和蓝牙技术在农业应用中的实现及性能分析
International Journal of Computing and Artificial Intelligence Pub Date : 2023-01-01 DOI: 10.33545/27076571.2023.v4.i1a.63
B. K, Rakshith N, Shashank R, N. Y, Praveen Km
{"title":"Implementation of LoRa and Bluetooth technology in farming application with performance analysis","authors":"B. K, Rakshith N, Shashank R, N. Y, Praveen Km","doi":"10.33545/27076571.2023.v4.i1a.63","DOIUrl":"https://doi.org/10.33545/27076571.2023.v4.i1a.63","url":null,"abstract":"","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121236407","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 framework for usability evaluation of automated driving human-machine interface in context of UAE 阿联酋背景下自动驾驶人机界面可用性评估框架
International Journal of Computing and Artificial Intelligence Pub Date : 2023-01-01 DOI: 10.33545/27076571.2023.v4.i1a.61
Beenu Mago, Ahmed Abdul Rahim Al Zarooni, Sari Finge
{"title":"A framework for usability evaluation of automated driving human-machine interface in context of UAE","authors":"Beenu Mago, Ahmed Abdul Rahim Al Zarooni, Sari Finge","doi":"10.33545/27076571.2023.v4.i1a.61","DOIUrl":"https://doi.org/10.33545/27076571.2023.v4.i1a.61","url":null,"abstract":"As a future mobility enabler, vehicle teleoperation offers a viable option for efficiently leveraging the benefits of driverless cars, whilst fully automated cars (SAE 5) are not completely viable. Despite the huge amount of research on self-driving technology, the notion of riding in a fully automated vehicle is still sceptical. Hence necessitating the presence of a remote operator who tele monitors the vehicle and acquire control in case of failure beyond the capabilities of vehicle automation, such as misuse, disuse or mode confusion and ensuring safety and reliability. Keeping the current inclination towards automated vehicles and the launch of the United Arab Emirates” ( UAE) first driverless, autonomous 12-seater shuttle, the researcher has suggested a low-fidelity basic prototype. To connect the vehicle’s automation and human teleoperation, the researcher has proposed a unique and interactive framework of Human-Machine Interface (HMI) to cater teleoperation in the context of automated vehicles (AVs) in the UAE. The design is optimised for the teleoperation of a highly automated shuttle by a public transportation control centre based on a logical and careful inquiry. After deriving a detailed analysis of requirements, a prototype is then created and refined until an interactive user-interface emerges. Fifteen control station experts are presented with a prototype for evaluation in a regular manner and solicited to work out three scenarios with disruptions in the system. The prototype is then evaluated using questionnaires and structured interviews. The results validate the suggested HMI design for the remote operation of a highly automated vehicle. Participants’ feedback shows a particularly high level of satisfaction in terms of perceived capacity, feasibility, usability approval and situational responsiveness. The findings also provide valuable information for an advanced interactive HMI design and pave the way for potential future directions in further research as well.","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123942107","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
Heart disease diagnosis and prediction based on hybrid machine learning model 基于混合机器学习模型的心脏病诊断与预测
International Journal of Computing and Artificial Intelligence Pub Date : 2022-07-01 DOI: 10.33545/27076571.2022.v3.i2a.49
Viswanatha Reddy Allugunti
{"title":"Heart disease diagnosis and prediction based on hybrid machine learning model","authors":"Viswanatha Reddy Allugunti","doi":"10.33545/27076571.2022.v3.i2a.49","DOIUrl":"https://doi.org/10.33545/27076571.2022.v3.i2a.49","url":null,"abstract":"","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125180866","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
Biomedical devices calibration using an improved hybridized algorithm 基于改进杂交算法的生物医学设备标定
International Journal of Computing and Artificial Intelligence Pub Date : 2022-07-01 DOI: 10.33545/27076571.2022.v3.i2a.57
Senboyejo Temitope Anthony, A. Olawale, Lawal Akeem Olaide
{"title":"Biomedical devices calibration using an improved hybridized algorithm","authors":"Senboyejo Temitope Anthony, A. Olawale, Lawal Akeem Olaide","doi":"10.33545/27076571.2022.v3.i2a.57","DOIUrl":"https://doi.org/10.33545/27076571.2022.v3.i2a.57","url":null,"abstract":"","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125067230","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
Machine learning techniques and methodology analysis for stock market price prediction 股票市场价格预测的机器学习技术和方法分析
International Journal of Computing and Artificial Intelligence Pub Date : 2022-07-01 DOI: 10.33545/27076571.2022.v3.i2a.50
Manju Dhull
{"title":"Machine learning techniques and methodology analysis for stock market price prediction","authors":"Manju Dhull","doi":"10.33545/27076571.2022.v3.i2a.50","DOIUrl":"https://doi.org/10.33545/27076571.2022.v3.i2a.50","url":null,"abstract":"","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125694550","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 comparitive analysis of mobilenet and xception architecture for classification of endoscopy images 内窥镜图像分类的mobilenet和exception结构的比较分析
International Journal of Computing and Artificial Intelligence Pub Date : 2022-07-01 DOI: 10.33545/27076571.2022.v3.i2a.56
M. M, D. Gn
{"title":"A comparitive analysis of mobilenet and xception architecture for classification of endoscopy images","authors":"M. M, D. Gn","doi":"10.33545/27076571.2022.v3.i2a.56","DOIUrl":"https://doi.org/10.33545/27076571.2022.v3.i2a.56","url":null,"abstract":"","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133030153","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
Enhanced K-Nearest Neighbor (KNN) Algorithm for classification of big data 大数据分类的增强k -最近邻(KNN)算法
International Journal of Computing and Artificial Intelligence Pub Date : 2022-07-01 DOI: 10.33545/27076571.2022.v3.i2a.48
Dr. Jay Kumar Jain, Anshu Shrivastava, D. Chauhan
{"title":"Enhanced K-Nearest Neighbor (KNN) Algorithm for classification of big data","authors":"Dr. Jay Kumar Jain, Anshu Shrivastava, D. Chauhan","doi":"10.33545/27076571.2022.v3.i2a.48","DOIUrl":"https://doi.org/10.33545/27076571.2022.v3.i2a.48","url":null,"abstract":"","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128353861","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
Topic modelling and sentiment analysis architecture for social networks in the COVID pandemic COVID大流行中社交网络的主题建模和情感分析架构
International Journal of Computing and Artificial Intelligence Pub Date : 2022-07-01 DOI: 10.33545/27076571.2022.v3.i2a.55
Karmanya Upadhyay
{"title":"Topic modelling and sentiment analysis architecture for social networks in the COVID pandemic","authors":"Karmanya Upadhyay","doi":"10.33545/27076571.2022.v3.i2a.55","DOIUrl":"https://doi.org/10.33545/27076571.2022.v3.i2a.55","url":null,"abstract":"","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122005440","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
Class-based soleprint population distribution 基于类的足底印种群分布
International Journal of Computing and Artificial Intelligence Pub Date : 2022-07-01 DOI: 10.33545/27076571.2022.v3.i2a.53
Obaje Samuel Enemakwu
{"title":"Class-based soleprint population distribution","authors":"Obaje Samuel Enemakwu","doi":"10.33545/27076571.2022.v3.i2a.53","DOIUrl":"https://doi.org/10.33545/27076571.2022.v3.i2a.53","url":null,"abstract":"","PeriodicalId":175533,"journal":{"name":"International Journal of Computing and Artificial Intelligence","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114890109","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
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