Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Manel, Martinez"'
Autor:
Luis Fariña, Keerthana Lathika, Giulio Lucchetta, Monong Yu, Joan Boix, Laia Cardiel-Sas, Oscar Blanch, Manel Martinez, Javier Rico
Publikováno v:
Instruments, Vol 8, Iss 2, p 31 (2024)
The High Energy cosmic-Radiation Detection (HERD) facility has been proposed as one of the main experiments on board the Chinese space station. HERD is scheduled to be installed around 2027 and to operate for at least 10 years. Its main scientific go
Externí odkaz:
https://doaj.org/article/475037afdbf34cf093ae72bcdd19b3d6
Publikováno v:
IEEE Access, Vol 11, Pp 59652-59660 (2023)
The Lyapunov theory establishes the fundamental details to determine the stability and the Lyapunov function associated with an equilibrium point of a nonlinear system. Sum-of-square (SOS) optimization is a well-known technique to estimate the region
Externí odkaz:
https://doaj.org/article/c4d12f7569d9478892dcd82fc1e2f3f7
Autor:
Manel Martinez-Molina, Nina Richarz, Ane Jaka, Juli Bassas-Vila, Verónica Mora-Fernández, Ariadna Quer Pi-Sunyer, Sebastian Podlipnik, José Manuel Carrascosa, Aram Boada
Publikováno v:
Dermatology Practical & Conceptual, Vol 13, Iss 3 (2023)
Introduction: Lentigo maligna is a subtype of melanoma in situ that typically affects the head and neck region with an increasing incidence. Margin-controlled techniques, such as spaghetti technique (ST), have gained popularity over wide local excisi
Externí odkaz:
https://doaj.org/article/342e3d9a29694e4eae04a2830deb6f60
Autor:
Reza Pirayeshshirazinezhad, Sandra G. Biedron, Jorge Alberto Diaz Cruz, Salvador Sosa Guitron, Manel Martinez-Ramon
Publikováno v:
IEEE Access, Vol 10, Pp 45643-45662 (2022)
This paper investigates applying artificial intelligence (AI) algorithms to attitude control system of satellites to optimally tune the controller using high performance computing. This methodology is applied to the Virtual Telescope for X-ray Observ
Externí odkaz:
https://doaj.org/article/87a5abeff868461d84d26e72ff6e3cf9
Autor:
Manish Bhattarai, Manel Martinez-Ramon
Publikováno v:
IEEE Access, Vol 8, Pp 88308-88321 (2020)
Intelligent detection and processing capabilities can be instrumental in improving the safety, efficiency, and successful completion of rescue missions conducted by firefighters in emergency first response settings. The objective of this research is
Externí odkaz:
https://doaj.org/article/223e1986febb4eceb18a47fb805b327b
Autor:
Meenu Ajith, Manel Martinez-Ramon
Publikováno v:
IEEE Access, Vol 7, Pp 182381-182394 (2019)
This paper proposes a vision-based fire and smoke segmentation system which uses spatial, temporal and motion information to extract the desired regions from the video frames. The fusion of information is done using multiple features such as optical
Externí odkaz:
https://doaj.org/article/314b3fdd65d4461180df90f87f1fbcbe
Publikováno v:
IEEE Journal of Photovoltaics. 13:2-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2c204328d1f851f1aec84dd24867654
https://doi.org/10.1109/jphotov.2022.3221003
https://doi.org/10.1109/jphotov.2022.3221003
Autor:
Joe Chen, Salvador Portillo, Grant Heileman, Ghadeh Hadi, Rusmir Bilalic, Manel Martinez-Ramon, Sameer Hemmady, Edl Schamiloglu
Publikováno v:
IEEE Transactions on Electromagnetic Compatibility. 64:1147-1159
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af97d5369aae3d53b68eaed3cc0ae687
https://doi.org/10.1109/temc.2022.3162492
https://doi.org/10.1109/temc.2022.3162492
Autor:
Najem N. Sirhan, Manel Martinez-Ramon
Publikováno v:
International journal of Computer Networks & Communications. 14:77-95
In this paper, we propose, implement, and test two novel downlink LTE scheduling algorithms. The implementation and testing of these algorithms were in Matlab, and they are based on the use of Reinforcement Learning (RL), more specifically, the Q-lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b20d173a731125795b091a7484fbf11
https://doi.org/10.5121/ijcnc.2022.14205
https://doi.org/10.5121/ijcnc.2022.14205
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-7
Sky imaging systems use lenses to acquire images concentrating light beams in a sensor. The light beams received by the sky imager have an elevation angle with respect to the device normal. Thus, the pixels in the image contain information from diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e492b6337b874ff6d516b50b2ea4803
https://doi.org/10.1109/tgrs.2022.3154710
https://doi.org/10.1109/tgrs.2022.3154710