Results 1 to 10 of about 606,496 (268)
ConvAix: An Application-Specific Instruction-Set Processor for the Efficient Acceleration of CNNs
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
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Machine Learning Tips and Tricks for Power Line Communications
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
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An ID Badge Information Extractor Based on Object Detection and Optical Character Recognition
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
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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
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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
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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
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
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Early Classification of Pathological Heartbeats on Wireless Body Sensor Nodes
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
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Medical Embedded Systems [PDF]
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
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Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models
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
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