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A comprehensive survey on tinyml
Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
TinyML for ultra-low power AI and large scale IoT deployments: A systematic review
The rapid emergence of low-power embedded devices and modern machine learning (ML)
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …
[HTML][HTML] Green IoT and edge AI as key technological enablers for a sustainable digital transition towards a smart circular economy: An industry 5.0 use case
Internet of Things (IoT) can help to pave the way to the circular economy and to a more
sustainable world by enabling the digitalization of many operations and processes, such as …
sustainable world by enabling the digitalization of many operations and processes, such as …
Edge impulse: An mlops platform for tiny machine learning
S Hymel, C Banbury, D Situnayake, A Elium… - ar** embedded and edge ML (TinyML) systems that can be deployed to a wide range …
Intelligence at the extreme edge: A survey on reformable TinyML
Machine Learning (TinyML) is an upsurging research field that proposes to democratize the
use of Machine Learning and Deep Learning on highly energy-efficient frugal …
use of Machine Learning and Deep Learning on highly energy-efficient frugal …
TinyML: A systematic review and synthesis of existing research
Tiny Machine Learning (TinyML), a rapidly evolving edge computing concept that links
embedded systems (hardware and software) and machine learning, with the purpose of …
embedded systems (hardware and software) and machine learning, with the purpose of …
TinyML: Tools, applications, challenges, and future research directions
Abstract In recent years, Artificial Intelligence (AI) and Machine learning (ML) have gained
significant interest from both, industry and academia. Notably, conventional ML techniques …
significant interest from both, industry and academia. Notably, conventional ML techniques …
A Review on the emerging technology of TinyML
Tiny Machine Learning (TinyML) is an emerging technology proposed by the scientific
community for develo** autonomous and secure devices that can gather, process, and …
community for develo** autonomous and secure devices that can gather, process, and …
Edge impulse: An mlops platform for tiny machine learning
Edge Impulse is a cloud-based machine learning operations (MLOps) platform for
develo** embedded and edge ML (TinyML) systems that can be deployed to a wide range …
develo** embedded and edge ML (TinyML) systems that can be deployed to a wide range …
[HTML][HTML] TinyML-sensor for shelf life estimation of fresh date fruits
Fresh dates have a limited shelf life and are susceptible to spoilage, which can lead to
economic losses for producers and suppliers. The problem of accurate shelf life estimation …
economic losses for producers and suppliers. The problem of accurate shelf life estimation …