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Internet of things: Vision, applications and research challenges [PDF]
Daniele Miorandi+3 more
openalex +2 more sources
Internet of Things (IoT): A vision, architectural elements, and future directions [PDF]
Jayavardhana Gubbi+3 more
openalex +3 more sources
Fog computing and its role in the internet of things [PDF]
Flavio Bonomi+3 more
openalex +2 more sources
Federated Learning for Internet of Things: A Comprehensive Survey [PDF]
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence (AI).
Dinh C. Nguyen+5 more
semanticscholar +1 more source
6G Internet of Things: A Comprehensive Survey [PDF]
The sixth-generation (6G) wireless communication networks are envisioned to revolutionize customer services and applications via the Internet of Things (IoT) toward a future of fully intelligent and autonomous systems.
Dinh C. Nguyen+7 more
semanticscholar +1 more source
Context Aware Computing for The Internet of Things: A Survey [PDF]
As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant ...
Charith Perera+3 more
semanticscholar +1 more source
There exist uncertainties in raw material components and distribution parameters in blending process. Considering the dynamic uncertainty of distribution parameters and the dynamic change of raw material inventory, a general closed-loop dynamic blending ...
Yu Chen+6 more
doaj +1 more source
The Internet of Hackable Things [PDF]
The Internet of Things makes possible to connect each everyday object to the Internet, making computing pervasive like never before. From a security and privacy perspective, this tsunami of connectivity represents a disaster, which makes each object remotely hackable.
Alberto Giaretta+3 more
openaire +6 more sources
An Improved Hybrid Transfer Learning-Based Deep Learning Model for PM2.5 Concentration Prediction
With the improvement of the living standards of the residents, it is a very important and challenging task to continuously improve the accuracy of PM2.5 (particulate matter less than 2.5 μm in diameter) prediction.
Jianjun Ni+4 more
doaj +1 more source
Simulation of the Internet of Things [PDF]
Proceedings of the IEEE 2016 International Conference on High Performance Computing and Simulation (HPCS 2016)
D'ANGELO, GABRIELE+2 more
openaire +5 more sources