Search Results - subject:"Edge computing"

Economic granularity interval in decision tree algorithm standardization from an open innovation perspective : towards a platform for sustainable matching

Li, Tao; Ma, Lei; Liu, Zheng; Liang, Kaitong - In: Journal of open innovation : technology, market, and … 6 (2020) 4/149, pp. 1-13

machine learning process in terminals and microprocessors in edge computing (smart phones, wearable devices, automobiles, IoT … increase in the time cost. Hence, the standardization of an AI algorithm is applicable to edge computing scenarios, such as an …

Persistent link: https://www.econbiz.de/10012321825

Economic granularity interval in decision tree algorithm standardization from an open innovation perspective: Towards a platform for sustainable matching

Li, Tao; Ma, Lei; Liu, Zheng; Liang, Kaitong - In: Journal of Open Innovation: Technology, Market, and … 6 (2020) 4, pp. 1-13

Persistent link: https://www.econbiz.de/10012620458

Grundzüge der Wirtschaftsinformatik

Mertens, Peter; Buxmann, Peter; Hess, Thomas; König, … - 2023 - 13., überarbeitete und erweiterte Auflage

Wirtschaft/Gesellschaft ausführlich dargestellt. Ergänzt wurden die Themen KI, Cloud Computing, Edge Computing …

Persistent link: https://www.econbiz.de/10014443461

Towards smart technologies with integration of the internet of things, cloud computing, and fog computing

Ahlawat, Chanchal; Krishnamurthi, Rajalakshmi - In: International journal of networking and virtual … 29 (2023) 1, pp. 73-124

Persistent link: https://www.econbiz.de/10014436623

Red deer optimisation-based delay minimisation for mmWave communication system enabled with mobile edge computing

Unnisa, Nazeer; Tatineni, Madhavi - In: Journal of information & knowledge management : JIKM 22 (2023) 4, pp. 1-23

Persistent link: https://www.econbiz.de/10014388964

Machine learning-based smart appliances for everyday life

Dhanalakshmi, R.; Benjamin, Monica; Sivaraman, Arunkumar; … - In: Smart analytics, artificial intelligence and …, (pp. 289-301). 2023

Purpose : With this study, the authors aim to highlight the application of machine learning in smart appliances used in our day-to-day activities. This chapter focuses on analysing intelligent devices used in our daily lives to examine various machine learning models that can be applied to make...

Persistent link: https://www.econbiz.de/10014320585

Utilizing edge computing for monitoring plant productivity in print industry

Stanisavljević, Vladimir - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 5 (2019) 1, pp. 92-99

Things (IoT) called edge computing, to enhance and integrate various printing and finishing equipment status in a unified … manner. Edge computing assumes that a lot of processing is on a remote node and that the data is eventually aggregated to …

Persistent link: https://www.econbiz.de/10012227849

Utilizing Edge Computing for Monitoring Plant Productivity in Print Industry

Stanisavljević, Vladimir - 2019

Persistent link: https://www.econbiz.de/10012141478

Towards Logistics 4.0 : an edge-cloud software framework for big data analytics in logistics processes

Stietencron, Moritz von; Hribernik, Karl; Lepenioti, … - In: International journal of production research 60 (2022) 19, pp. 5994-6012

Persistent link: https://www.econbiz.de/10013501007

Microservices-based cloud-edge collaborative condition monitoring platform for smart manufacturing systems

Yang, Hanbo; Ong, Soh K.; Nee, Andrew Y. C.; Jiang, Gedong - In: International journal of production research 60 (2022) 24, pp. 7492-7501

Persistent link: https://www.econbiz.de/10013502447