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 …
DDD TinyML: a TinyML-based driver drowsiness detection model using deep learning
NN Alajlan, DM Ibrahim - Sensors, 2023 - mdpi.com
Driver drowsiness is one of the main causes of traffic accidents today. In recent years, driver
drowsiness detection has suffered from issues integrating deep learning (DL) with Internet-of …
drowsiness detection has suffered from issues integrating deep learning (DL) with Internet-of …
[HTML][HTML] Revolutionizing agri-food technology: Development and validation of the Portable Intelligent Oil Recognition System (PIORS)
The increasing demand for high-quality vegetable oils has amplified the need for efficient,
and accurate, oil recognition systems. This paper introduces the Portable Intelligent Oil …
and accurate, oil recognition systems. This paper introduces the Portable Intelligent Oil …
Original Research Article TinyML: Adopting tiny machine learning in smart cities
NN Alajlan, DM Ibrahim - Journal of Autonomous Intelligence, 2024 - jai.front-sci.com
Abstract Since Tiny machine learning (TinyML) is a quickly evolving subject, it is crucial that
internet of things (IoT) devices be able to communicate with one another for the sake of …
internet of things (IoT) devices be able to communicate with one another for the sake of …
[PDF][PDF] Special Technology Session (STS-2)-coADDVA
A Kuisma, S Alanen, T Nieminen, J Jeronen… - CM3, 2023 - jyx.jyu.fi
The aim of the project is to support companies especially in utilizing digitalisation with the
help of machine vision and modern artificial intelligence solutions. In this way, various SMEs …
help of machine vision and modern artificial intelligence solutions. In this way, various SMEs …
TinyML for Small Microcontrollers
CA Estrebou, MD Saavedra, F Adra… - X Jornadas de Cloud …, 2022 - sedici.unlp.edu.ar
This paper describes the progress made in the context of a research and development
project on machine learning techniques and algorithms applied to small microcontrollers …
project on machine learning techniques and algorithms applied to small microcontrollers …
Procesamiento inteligente de la información: aplicaciones en bioinformática, trayectorias vehiculares, mantenimiento preventivo industrial y sistemas embebidos
Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes
para la resolución de problemas de Big Data y Minería de Datos utilizando técnicas de …
para la resolución de problemas de Big Data y Minería de Datos utilizando técnicas de …
Sistemas inteligentes en el uso de aplicaciones de bioinformática y sistemas embebidos
Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes
para la resolución de problemas de Big Data y Minería de Datos utilizando técnicas de …
para la resolución de problemas de Big Data y Minería de Datos utilizando técnicas de …
Arquitecturas multiprocesador en HPC: software de base, modelos y aplicaciones
El eje de esta línea de I/D lo constituye el estudio de las arquitecturas multiprocesador que
integran sistemas distribuidos y paralelos. Incluye como temas centrales:-Arquitecturas …
integran sistemas distribuidos y paralelos. Incluye como temas centrales:-Arquitecturas …