IR4.0 中的人工智能和 ML:应用与挑战简评

Krishna AL Sannasy Rao, Chong Peng Lean, Ng Poh Kiat, Feng Yuan Kong, M. Reyasudin, Basir Khan, Daniel Ismail, Chen Li
{"title":"IR4.0 中的人工智能和 ML:应用与挑战简评","authors":"Krishna AL Sannasy Rao, Chong Peng Lean, Ng Poh Kiat, Feng Yuan Kong, M. Reyasudin, Basir Khan, Daniel Ismail, Chen Li","doi":"10.56532/mjsat.v4i2.291","DOIUrl":null,"url":null,"abstract":"Artificial intelligence and machine learning are essential for the development of IR4.0 due to their ability to analyse vast amounts of data, automate processes, and drive innovation across various sectors. These technologies enable intelligent decision-making, predictive analytics, and automation, leading to increased efficiency, productivity, and competitiveness in the digital age. In IR4.0, AI and ML power smart systems and connected devices, transforming industries. They facilitate the integration of digital, physical, and biological systems, enabling the creation of personalized medicine and medical diagnosis smart manufacturing, self-autonomous driving vehicles, smart cities, and smart home. Hence, this review aims to address the contribution of AI and ML in the development of medical diagnosis, smart manufacturing, smart cars, smart cities, and smart homes as well as to highlight the existing challenges faced by AI and ML in these fields. This review also showcases the relevant prospects of AI and ML applications in the fields mentioned.","PeriodicalId":496585,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI and ML in IR4.0: A Short Review of Applications and Challenges\",\"authors\":\"Krishna AL Sannasy Rao, Chong Peng Lean, Ng Poh Kiat, Feng Yuan Kong, M. Reyasudin, Basir Khan, Daniel Ismail, Chen Li\",\"doi\":\"10.56532/mjsat.v4i2.291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence and machine learning are essential for the development of IR4.0 due to their ability to analyse vast amounts of data, automate processes, and drive innovation across various sectors. These technologies enable intelligent decision-making, predictive analytics, and automation, leading to increased efficiency, productivity, and competitiveness in the digital age. In IR4.0, AI and ML power smart systems and connected devices, transforming industries. They facilitate the integration of digital, physical, and biological systems, enabling the creation of personalized medicine and medical diagnosis smart manufacturing, self-autonomous driving vehicles, smart cities, and smart home. Hence, this review aims to address the contribution of AI and ML in the development of medical diagnosis, smart manufacturing, smart cars, smart cities, and smart homes as well as to highlight the existing challenges faced by AI and ML in these fields. This review also showcases the relevant prospects of AI and ML applications in the fields mentioned.\",\"PeriodicalId\":496585,\"journal\":{\"name\":\"Malaysian Journal of Science and Advanced Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Malaysian Journal of Science and Advanced Technology\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.56532/mjsat.v4i2.291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malaysian Journal of Science and Advanced Technology","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.56532/mjsat.v4i2.291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人工智能和机器学习对 IR4.0 的发展至关重要,因为它们能够分析海量数据、实现流程自动化并推动各行各业的创新。这些技术可实现智能决策、预测分析和自动化,从而在数字时代提高效率、生产力和竞争力。在 IR4.0 中,人工智能和 ML 为智能系统和互联设备提供动力,改变着各行各业。它们促进了数字、物理和生物系统的整合,使个性化医疗和医疗诊断、智能制造、自动驾驶汽车、智能城市和智能家居成为可能。因此,本综述旨在探讨人工智能和 ML 在医疗诊断、智能制造、智能汽车、智能城市和智能家居发展中的贡献,并强调人工智能和 ML 在这些领域面临的现有挑战。本综述还展示了人工智能和 ML 在上述领域的相关应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
AI and ML in IR4.0: A Short Review of Applications and Challenges
Artificial intelligence and machine learning are essential for the development of IR4.0 due to their ability to analyse vast amounts of data, automate processes, and drive innovation across various sectors. These technologies enable intelligent decision-making, predictive analytics, and automation, leading to increased efficiency, productivity, and competitiveness in the digital age. In IR4.0, AI and ML power smart systems and connected devices, transforming industries. They facilitate the integration of digital, physical, and biological systems, enabling the creation of personalized medicine and medical diagnosis smart manufacturing, self-autonomous driving vehicles, smart cities, and smart home. Hence, this review aims to address the contribution of AI and ML in the development of medical diagnosis, smart manufacturing, smart cars, smart cities, and smart homes as well as to highlight the existing challenges faced by AI and ML in these fields. This review also showcases the relevant prospects of AI and ML applications in the fields mentioned.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effects of Over-burnt Bricks on Gradation, Water Absorption and Specific Gravity of Aggregates, Workability and Compressive Strength of Concrete IoT-enabled Smart Weather Stations: Innovations, Challenges, and Future Directions IoT-enabled Greenhouse Systems: Optimizing Plant Growth and Efficiency Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture Transformative Applications of IoT in Diverse Industries: A Mini Review
×
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
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1