Narrow search
Showing 1 - 5 of 5
Cover Image
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
Cover Image
A digital twin framework development for apparel manufacturing industry
Alam, Mohammed Didarul; Kabir, Golam; … - In: Decision analytics journal 7 (2023), pp. 1-19
The apparel manufacturing industry faces challenges due to fast-changing fashion trends, increased product variety, and personalized demands. Quick and optimized decision-making is crucial to overcome these barriers. This study aims to develop a methodology for applying Digital Twin (DT)...
Persistent link: https://www.econbiz.de/10014505272
Cover Image
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
Cover Image
Digital-twin-based decision support of dynamic maintenance task prioritization using simulation-based optimization and genetic programming
Frantzén, Marcus; Bandaru, Sunith; Ng, Amos H. C. - In: Decision analytics journal 3 (2022), pp. 1-12
Modern decision support systems need to be connected online to equipment so that the large amount of data available can be used to guide the decisions of shop floor operators, making full use of the potential of industrial manufacturing systems. This paper investigates a novel optimization and...
Persistent link: https://www.econbiz.de/10013339265
Cover Image
A robust resource allocation model for optimizing data skew and consumption rate in cloud-based IoT environments
Raghavendar, K.; Batra, Isha; Malik, Arun - In: Decision analytics journal 7 (2023), pp. 1-17
The Internet of Things (IoT) is a network of connected objects designed to collect and exchange data using smart … IoT services. IoT networks are constructed using a variety of smart technologies such as detectors, controllers, Radio … problems in cloud-based ecosystems. To address these concerns, IoT-based robust decision-making resource management is often …
Persistent link: https://www.econbiz.de/10014433845