Zobrazeno 1 - 10
of 18
pro vyhledávání: '"María Liz Crespo"'
Publikováno v:
Sensors, Vol 20, Iss 22, p 6461 (2020)
Personalized health monitoring of neural signals usually results in a very large dataset, the processing and transmission of which require considerable energy, storage, and processing time. We present bioinspired electroceptive compressive sensing (B
Externí odkaz:
https://doaj.org/article/e846f1f24ed04c90b43fcad235d5b5a0
Publikováno v:
Journal of Computer Science and Technology, Vol 1, Iss 02, Pp 11 p.-11 p. (2000)
This paper presents an Ant Colony Optimisation (ACO) model for the Multiple Knapsack Problem (MKP). The ACO algorithms, as well as other evolutionary metaphors, are being applied successfully to diverse heavily constrained problems: Travelling Salesm
Externí odkaz:
https://doaj.org/article/4b7d308167984a4c95d04a3a1ff51ec1
Publikováno v:
Journal of Computer Science and Technology, Vol 1, Iss 01, Pp 14 p.-14 p. (1999)
Fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropiate tools for Intelligent Computer Systems. But on the other hand, learning algorithms for neural networks in
Externí odkaz:
https://doaj.org/article/8b7ea79d6a1b49e5a96513c7d8976379
Autor:
Md Nakib Hayat Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, María Liz Crespo, Andrés Cicuttin, Shamim Ahmad, Fahmida Haque, Ahmad Ashrif A. Bakar, Mohd Ibrahim Bin Shapiai @Abd Razak, Mohammad Arif Sobhan Bhuiyan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6731b829664f5bb912ef901dfc15e241
https://doi.org/10.2139/ssrn.4365730
https://doi.org/10.2139/ssrn.4365730
Autor:
Nakib Hayat Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Shamim Ahmad, María Liz Crespo, Andrés Cicuttin, Fahmida Haque, Ahmad Ashrif A. Bakar, Mohammad Arif Sobhan Bhuiyan
Publikováno v:
Journal of Personalized Medicine; Volume 12; Issue 9; Pages: 1507
Type 1 diabetes mellitus (T1DM) patients are a significant threat to chronic kidney disease (CKD) development during their life. However, there is always a high chance of delay in CKD detection because CKD can be asymptomatic, and T1DM patients bypas
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34922- (2024)
The concept of security is becoming a global challenge, and governments, stakeholders, corporate societies, and individuals must urgently create a reasonable protection mechanism for good. Therefore, a real-time surveillance system is essential for d
Externí odkaz:
https://doaj.org/article/1a31ae5f3bc24419a1fd3f50906ba759
Autor:
Iván René Morales, Maria Liz Crespo, Mladen Bogovac, Andres Cicuttin, Kalliopi Kanaki, Sergio Carrato
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 2, Pp 745-752 (2024)
A method for gamma/neutron event classification based on frequency-domain analysis for mixed radiation environments is proposed. In contrast to the traditional charge comparison method for pulse-shape discrimination, which requires baseline removal a
Externí odkaz:
https://doaj.org/article/45579659d1a54892b7d2e686c7143b5e
Publikováno v:
IEEE Access, Vol 11, Pp 67679-67706 (2023)
In recent years, the most powerful supercomputers have already reached megawatt power consumption levels, an important issue that challenges sustainability and shows the impossibility of maintaining this trend. To this date, the prevalent approach to
Externí odkaz:
https://doaj.org/article/0acc050fd85a4163925c8709c60a4c52
Field-Programmable Gate Array (FPGA) technologies have increased in popularity in recent years due to their adaptability and high computing potential. Further research in this area illustrates the potential for further advancements and applications o
Publikováno v:
IEEE Access, Vol 10, Pp 90429-90455 (2022)
Hardware accelerators based on field programmable gate array (FPGA) and system on chip (SoC) devices have gained attention in recent years. One of the main reasons is that these devices contain reconfigurable logic, which makes them feasible for boos
Externí odkaz:
https://doaj.org/article/4ccba5b5336f412ebcc9d4a60df6ff88