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AWS and IoT for real-time remote medical monitoring
Bouslama, Abdelilah; Laaziz, Yassin; Tali, Abdelhak; … - In: International journal of intelligent enterprise : IJIE 6 (2019) 2/3/4, pp. 369-381
Persistent link: https://www.econbiz.de/10012138940
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DIDS : a Deep Neural Network based real-time Intrusion detection system for IoT
Vishwakarma, Monika; Kesswani, Nishtha - In: Decision analytics journal 5 (2022), pp. 1-9
The number of people using the Internet of Things (IoT) devices has exploded in recent years. The instantaneous … the constrained devices, current solutions are insufficient to protect the complete safety scope of IoT networks. An … Learning (DL) techniques, skilled in embedding intellect in IoT devices and networks, can address various security issues. In …
Persistent link: https://www.econbiz.de/10014337042
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Architecture and use cases of digital twins towards smart manufacturing
Tiwari, Nibhrita; Kaur, Maninder Jeet; Mishraed, Ved Prakash - In: International journal of public sector performance … 8 (2021) 3, pp. 264-272
Persistent link: https://www.econbiz.de/10012696810
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Exploring the potentials of automation in logistics and supply chain management : paving the way for autonomous supply chains
Nitsche, Benjamin - In: Logistics 5 (2021) 3, pp. 1-9
The world of logistics is changing and entering a new era. The advance of digitalization and technologization enables new business models, increased process efficiencies, novel planning approaches, and much more but, on the downside, there is also the risk of being lost in the maelstrom of...
Persistent link: https://www.econbiz.de/10012618271
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Digital Transformation in Industry : Digital Twins and New Business Models
Kumar, Vikas (ed.); Leng, Jiewu (ed.);  … - Annual International Scientific Conference “Digital … - 2022
Digital Twins in the Industry: Maturity, Functions, Effects -- Architecting Digital Twin-Driven Transformation in the Refrigeration and Air Conditioning Sector -- Practical Application of the Concept of Digital Twins in the Aviation Sector -- Digital Revolution in the Energy Sector: Effects of...
Persistent link: https://www.econbiz.de/10013185638
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IoT and digital twin enabled smart tracking for safety management
Zhao, Zhiheng; Shen, Leidi; Yang, Chen; Wu, Wei; Zhang, … - In: Computers & operations research : and their … 128 (2021), pp. 1-14
Persistent link: https://www.econbiz.de/10012439931
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Industrial artificial intelligence, Internet of Things smart devices, and big data-driven decision-making in digital-twin-based cyber-physical production systems
Breillat, Richard - In: Economics, management and financial markets 15 (2020) 1, pp. 47-53
Persistent link: https://www.econbiz.de/10012239659
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Sustainable and flexible industrial human machine interfaces to support adaptable applications in the Industry 4.0 paradigm
Ardanza, Aitor; Moreno, Aitor; Segura, Álvaro; Cruz, … - In: International journal of production research 57 (2019) 12, pp. 4045-4059
Persistent link: https://www.econbiz.de/10012193402
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Virtual sensors
Martin, Dominik; Kühl, Niklas; Satzger, Gerhard - In: Business & information systems engineering 63 (2021) 3, pp. 315-323
Persistent link: https://www.econbiz.de/10012542853
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From data to value in smart waste management : optimizing solid waste collection with a digital twin-based decision support system
Barth, Linard; Schweiger, Lukas; Benedech, Rodolfo; … - In: Decision analytics journal 9 (2023), pp. 1-17
The importance of waste management, including collection, separation, recovery, and recycling, increases with the growing amount of waste. Technological innovations such as smart connected products, the Internet of Things, and digital twins are driving the development of smart management...
Persistent link: https://www.econbiz.de/10014532579