Results 11 to 20 of about 1,882 (120)
Optimum frequency response with decentralized drivers in power system
IET Generation, Transmission & Distribution, 2023 This document presents a novel methodology to optimize the power system frequency response based on the implementation of decentralized controllers. The proposed method focuses on the control of the internal rotor angle in the selected generator, which ...
Diego Maldonado +4 more
doaj +2 more sources
Driver Monitoring System Using Computer Vision for Real-Time Detection of Fatigue, Distraction and Emotion via Facial Landmarks and Deep Learning [PDF]
SensorsCar accidents remain a leading cause of death worldwide, with drowsiness and distraction accounting for roughly 25% of fatal crashes in Ecuador. This study presents a real-time driver monitoring system that uses computer vision and deep learning to ...
Tamia Zambrano +4 more
doaj +2 more sources
Policy &Internet, Volume 15, Issue 4, Page 559-574, December 2023., 2023 Abstract Since 2019, researchers examining, archiving, and collecting extremist and terrorist materials online have increasingly been taken offline. In part a consequence of the automation of content moderation by different technology companies and national governments calling for ever quicker takedowns. Based on an online survey of peers in the field,
Aaron Y. Zelin
wiley +1 more source
Engineering Proceedings, 2023 Standardization and collaborative integration are fundamental for the implementation of Industry 4.0. The Open Communication Platform Unified Architecture (OPC UA) standard plays a crucial role in communication by enabling the development of ...
Anthony Molina, Diego Vargas, Ana Rodas
doaj +1 more source
Evidence‐based guidelines for automated conservation assessments of plant species
Conservation Biology, Volume 37, Issue 1, February 2023., 2023 Abstract Assessing species’ extinction risk is vital to setting conservation priorities. However, assessment endeavors, such as those used to produce the IUCN Red List of Threatened Species, have significant gaps in taxonomic coverage. Automated assessment (AA) methods are gaining popularity to fill these gaps.
Barnaby E. Walker +4 more
wiley +1 more source
Biases associated with database structure for COVID-19 detection in X-ray images
Scientific Reports, 2023 Several artificial intelligence algorithms have been developed for COVID-19-related topics. One that has been common is the COVID-19 diagnosis using chest X-rays, where the eagerness to obtain early results has triggered the construction of a series of ...
Daniel Arias-Garzón +3 more
doaj +1 more source
Reducing automation risk through career mobility: Where and for whom?
Papers in Regional Science, Volume 100, Issue 6, Page 1545-1569, December 2021., 2021 Abstract Automation risk prevails less in large cities compared to small cities but little is known about the drivers of this emerging urban phenomenon. A major challenge is that automation risk is quantified by work‐related tasks that allows for measurement through occupation, which is in turn implicitly related to local economic structure and to ...
László Czaller +2 more
wiley +1 more source
A strategy for the next decade to address data deficiency in neglected biodiversity
Conservation Biology, Volume 35, Issue 2, Page 502-509, April 2021., 2021 Abstract Measuring progress toward international biodiversity targets requires robust information on the conservation status of species, which the International Union for Conservation of Nature (IUCN) Red List of Threatened Species provides. However, data and capacity are lacking for most hyperdiverse groups, such as invertebrates, plants, and fungi ...
Axel Hochkirch +15 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2021, Issue 1, 2021., 2021 In this paper, the trajectory tracking control and the field programmable gate array (FPGA) implementation between a recurrent neural network with time delay and a chaotic system are presented. The tracking error is globally asymptotically stabilized by means of a control law generated from the Lyapunov–Krasovskii and Lur’e theory. The applicability of
J. Perez-Padron +5 more
wiley +1 more source
LAMDA Control Approaches Applied to Trajectory Tracking for Mobile Robots
IEEE Access, 2021 This paper presents the application of different approaches of intelligent controllers based on LAMDA (Learning Algorithm for Multivariate Data Analysis) to perform the trajectory tracking task of a mobile robot Pioneer 3-DX simulated in the Virtual ...
L. Morales +4 more
doaj +1 more source