Results 1 to 10 of about 606,496 (268)

ConvAix: An Application-Specific Instruction-Set Processor for the Efficient Acceleration of CNNs

open access: yesIEEE Open Journal of Circuits and Systems, 2021
ConvAix is an application-specific instruction-set processor (ASIP) that enables the energy-efficient processing of convolutional neural networks (CNNs) while retaining substantial flexibility through its instruction-set architecture (ISA) based design ...
Andreas Bytyn   +2 more
doaj   +1 more source

Machine Learning Tips and Tricks for Power Line Communications

open access: yesIEEE Access, 2019
A great deal of attention has been recently given to Machine Learning (ML) techniques in many different application fields. This paper provides a vision of what ML can do in Power Line Communications (PLC).
Andrea M. Tonello   +3 more
doaj   +1 more source

An ID Badge Information Extractor Based on Object Detection and Optical Character Recognition

open access: yesIEEE Access
Advancements in Artificial Intelligence and Deep Learning have impacted numerous fields, particularly through innovations like You Only Look Once for object detection and PaddleOCR for optical character recognition in computer vision.
Wallace Cavalcante   +5 more
doaj   +1 more source

Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions

open access: yesMachine Learning and Knowledge Extraction, 2023
Typically, renewable-power-generation forecasting using machine learning involves creating separate models for each photovoltaic or wind park, known as single-task learning models.
Chandana Priya Nivarthi   +2 more
doaj   +1 more source

Embedded Operating Systems

open access: yes, 2022
In this chapter, we will provide a description of existing open-source operating systems (OSs) which have been analyzed with the objective of providing a porting for the reference architecture described in Chapter 2. Among the various possibilities, the ERIKA Enterprise RTOS (Real-Time Operating System) and Linux with preemption patches have been ...
Scordino C.   +5 more
openaire   +2 more sources

Domotic embedded system

open access: yesProceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2014
This paper presents an original domotic embedded system for room temperature monitoring. The OpenRemote is the main software interface between the user and the system, but other software components and communication protocols are used, such as 1-Wire protocol for temperature monitoring devices, RS-232 for the central PC unit and OWFS software for ...
openaire   +2 more sources

Density-Based Statistical Clustering: Enabling Sidefire Ultrasonic Traffic Sensing in Smart Cities

open access: yesJournal of Advanced Transportation, 2018
Traffic routing is a central challenge in the context of urban areas, with a direct impact on personal mobility, traffic congestion, and air pollution.
Volker Lücken   +8 more
doaj   +1 more source

Early Classification of Pathological Heartbeats on Wireless Body Sensor Nodes

open access: yesSensors, 2014
Smart Wireless Body Sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-powered devices allowing the continuous monitoring and real-time interpretation of a subject’s bio-signals, such as the electrocardiogram (ECG). These low-power platforms,
Rubén Braojos   +3 more
doaj   +1 more source

Medical Embedded Systems [PDF]

open access: yes, 2007
Light-weight embedded systems are now gaining more popularity due to recent technological advances in fabrication of more powerful tiny processors. In particular, the field of pervasive computing and medical monitoring is emerging due to the development of tiny and low-profile computing nodes, mated with sensors and actuators, in close proximity to the
Roozbeh Jafari   +2 more
openaire   +1 more source

Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models

open access: yesInformatics, 2018
Personal wearables such as smartphones or smartwatches are increasingly utilized in everyday life. Frequently, activity recognition is performed on these devices to estimate the current user status and trigger automated actions according to the user ...
Martin Jänicke   +2 more
doaj   +1 more source

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