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Mostrando ítems 151-160 de 216
Artículo
Using machine learning-based systems to help predict disengagement from the legal proceedings by women victims of intimate partner violence in Spain
(Public Library Science, 2023)
Intimate partner violence against women (IPVW) is a pressing social issue which poses a challenge in terms of prevention, legal action, and reporting the abuse once it has occurred. However, a significant number of female ...
Artículo
Real-time detection of bursts in neuronal cultures using a Neuromorphic Auditory Sensor and Spiking Neural Networks
(Elsevier, 2021-08)
The correct identi cation of burst events is crucial in many scenarios, ranging from basic neuroscience to biomedical applications. However, none of the burst detection methods that can be found in the literature have ...
Artículo
A Tradeoff Analysis of a Cloud-Based Robot Navigation Assistant Using Stereo Image Processing
(IEEE Computer Society, 2015)
The use of Cloud Computing for computation offloading in the robotics area has become a field of interest today. The aim of this work is to demonstrate the viability of cloud offloading in a low level and intensive ...
Artículo
Evaluation of user satisfaction and usability of a mobile app for smoking cessation
(Elsevier, 2019)
Background Mobile apps have a great potential to support patients in healthcare, and to encourage healthy behavioral changes such as smoking cessation. Nevertheless, the user rejection levels are still high. A set of ...
Artículo
Methodology for Distributed-ROM-based Implementation of Finite State Machines
(Institute of Electrical and Electronics Engineers, 2020-11-24)
This brief explores the optimization of distributed-ROM-based Finite State Machine (FSM) implementations as an alternative to conventional implementations based on Look-Up Tables (LUTs). In distributed-ROM implementations, ...
Artículo
Real-time detection of uncalibrated sensors using Neural Networks
(Cornell University, 2021)
Nowadays, sensors play a major role in several contexts like science, industry and daily life which benefit of their use. However, the retrieved information must be reliable. Anomalies in the behavior of sensors can give ...
Artículo
Influence of Input/output Operations on Processor Performance
(World Scientific, 2006)
Nowadays, computers are frequently equipped with peripherals that transfer great amounts of data between them and the system memory using direct memory access techniques (i.e., digital cameras, high speed networks, . . ...
Artículo
Neuromorphic LIF Row-by-Row Multiconvolution Processor for FPGA
(IEEE Computer Society, 2018)
Deep Learning algorithms have become state-of-theart methods for multiple fields, including computer vision, speech recognition, natural language processing, and audio recognition, among others. In image vision, ...
Artículo
A Compact Forearm Crutch Based on Force Sensors for Aided Gait: Reliability and Validity
(MDPI, 2016)
Frequently, patients who suffer injuries in some lower member require forearm crutches in order to partially unload weight-bearing. These lesions cause pain in lower limb unloading and their progression should be controlled ...
Artículo
A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders
(MDPI, 2021)
The change from face-to-face work to teleworking caused by the pandemic has induced multiple workers to spend more time than usual in front of a computer; in addition, the sudden installation of workstations in homes ...