Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Mauro Sebastián Innocente"'
Publikováno v:
Fire, Vol 6, Iss 2, p 76 (2023)
Predicting the behaviour of wildfires can help save lives and reduce health, socioeconomic, and environmental impacts. Because wildfire behaviour is highly dependent on fuel type and distribution, their accurate estimation is paramount for accurate p
Externí odkaz:
https://doaj.org/article/9d556561ff194c69b729682d9d7a5de5
Autor:
Daizy Rajput, Jose Martin Herreros, Mauro Sebastián Innocente, Arash M. Dizqah, Joschka Schaub
Publikováno v:
Vehicles, Vol 3, Iss 21, Pp 341-356 (2021)
Vehicles
Volume 3
Issue 3
Pages 21-356
Vehicles
Volume 3
Issue 3
Pages 21-356
Modern hybrid electric vehicles (HEVs) like the fourth generation of Toyota Prius incorporate multiple planetary gears (PG) to interconnect various power components. Previous studies reported that increasing the number of planetary gears from one to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6aa252eebdce9221af9151d549d8bf6
https://doi.org/10.3390/vehicles3030021
https://doi.org/10.3390/vehicles3030021
Publikováno v:
Web of Science
An inherent problem of reinforcement learning is performing exploration of an environment through random actions, of which a large portion can be unproductive. Instead, exploration can be improved by initializing the learning policy with an existing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f29c9005293677eba009e704d03ab6c1
http://arxiv.org/abs/2208.10533
http://arxiv.org/abs/2208.10533
Publikováno v:
Computers & Mathematics with Applications. 80:790-808
This paper presents the mathematical formulation, numerical solution, calibration and testing of a physics-based model of wildfire propagation aimed at faster-than-real-time simulations. Despite a number of simplifying assumptions, the model is compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81b1e94caaed2ab91d7c013ff7a776ca
https://doi.org/10.1016/j.camwa.2020.05.009
https://doi.org/10.1016/j.camwa.2020.05.009
Publikováno v:
Computational Vision and Bio-Inspired Computing ISBN: 9789811695728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0c5670cf95199d25bc81155d0ec6d15
https://doi.org/10.1007/978-981-16-9573-5_19
https://doi.org/10.1007/978-981-16-9573-5_19
Synthesis and Characterisation of Iron Oxide Nanoparticles with Tunable Sizes by Hydrothermal Method
The present study investigates the effect of different reaction times on the crystallinity, surface morphology and size of iron oxide nanoparticles. In this synthetic system, aqueous iron (III) nitrate (Fe (NO3)3·9H2O) nonahydrate, provided the iron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cef9719b0cafdd1ba47a96726447bdfb
http://arxiv.org/abs/2110.14774
http://arxiv.org/abs/2110.14774
Publikováno v:
Proceedings of Sixth International Congress on Information and Communication Technology ISBN: 9789811623769
ICICT (1)
ICICT (1)
In this work, a novel high-speed railway fastener detector is introduced. This fully convolutional network, dubbed FasteNet, foregoes the notion of bounding boxes and performs detection directly on a predicted saliency map. FasteNet uses transposed c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d607b1169b9f0323d7bd67f4e8cc6fba
https://doi.org/10.1007/978-981-16-2377-6_71
https://doi.org/10.1007/978-981-16-2377-6_71
Publikováno v:
Journal of Computational Science. 34:80-101
Swarm intelligence (SI) is concerned with the collective behaviour that emerges from decentralised self-organising systems, whilst swarm robotics (SR) is an approach to the self-coordination of large numbers of simple robots which emerged as the appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee67aeac65a4b3b55d683cd444f6f469
https://doi.org/10.1016/j.jocs.2019.04.009
https://doi.org/10.1016/j.jocs.2019.04.009
Publikováno v:
Coventry University
Particle Swam Optimization is a population-based and gradient-free optimization method developed by mimicking social behaviour observed in nature. Its ability to optimize is not specifically implemented but emerges in the global level from local inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46af67516fed616b6cccf4881cb2a29f
http://arxiv.org/abs/2101.11944
http://arxiv.org/abs/2101.11944
Autor:
Mauro Sebastián Innocente
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030787424
ICSI (1)
ICSI (1)
The Particle Swarm Optimisation (PSO) algorithm has undergone countless modifications and adaptations since its original formulation in 1995. Some of these have become mainstream whereas others have faded away. A myriad of alternative formulations ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75857582060407e57923078f7e3e38f0
https://doi.org/10.1007/978-3-030-78743-1_25
https://doi.org/10.1007/978-3-030-78743-1_25