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dc.contributor.authorMu-Yen, Chen
dc.contributor.authorC. K. Hung, Patrick
dc.date2024-09
dc.date.accessioned2024-09-04T07:42:11Z
dc.date.available2024-09-04T07:42:11Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/17347
dc.description.abstractWith (EC) the rise of global economy and Electronic Commerce (EC), efficient inter-organizational planning and deployment for value chain processes have become important. Radio-frequency Identification (RFID), Near Field Communication (NFC), and related wireless technologies are evaluated to be some of the most significant technological innovations in the twenty-first century. In the past few years, wireless and context-awareness technology have led to much hope and optimism. The mainstream press hails these innovations as the avant-garde in technology and business. The Internet of Everything (IoE) goal is the intelligent connection of people, process, data, and things. The IoE describes a world where billions of objects have sensors to detect, measure, and assess their status, all connected over public or private networks using standard and proprietary protocols. Hence, this special issue investigates the state-of-art AI and deep learning approaches for successful systems or applications in the IoE environment. In addition, this special issue also wants to understand the direct and indirect effects of using these smart technologies to build language information processing based on the Web of Things (WoT) around the smart cities and societies.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 8, nº 7
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/3484es_ES
dc.rightsopenAccesses_ES
dc.subjecteditoriales_ES
dc.subjectIJIMAIes_ES
dc.titleEditor’s Notees_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~OPUes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2020.08.006


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