Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Soheila Nazari"'
Autor:
Soheila Nazari, Shabnam Jamshidi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Spiking networks, as the third generation of neural networks, are of great interest today due to their low power consumption in cognitive processes. This important characteristic has caused the hardware implementation techniques of spiking n
Externí odkaz:
https://doaj.org/article/a3d4eb28f9a940b8b04260b95df278dd
Autor:
Mohammad Kazem Bahrami, Soheila Nazari
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract The paramount concern of highly accurate energy-efficient computing in machines with significant cognitive capabilities aims to enhance the accuracy and efficiency of bio-inspired Spiking Neural Networks (SNNs). This paper addresses this mai
Externí odkaz:
https://doaj.org/article/7d2c30727ad54d20989c1d379d6f16be
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-21 (2024)
Abstract The challenge of supervised learning in spiking neural networks (SNNs) for digit classification from speech signals is examined in this study. Meta-heuristic algorithms and a fuzzy logic framework are used to train SNNs. Using gray wolf opti
Externí odkaz:
https://doaj.org/article/5f2d0633a8de42bc9df18eb67a437c56
Publikováno v:
IEEE Access, Vol 11, Pp 134804-134821 (2023)
The computer-aided diagnosis (CAD) of skin diseases relies heavily on automated skin lesion segmentation, albeit presenting considerable challenges due to lesion diversity in shape, size, color, and texture, as well as potential blurry boundaries wit
Externí odkaz:
https://doaj.org/article/43ca4fa13405402893a8795d5e7b1da2
Publikováno v:
IEEE Access, Vol 11, Pp 5502-5516 (2023)
An implantable cardioverter-defibrillator (ICD) is a device that must detect VT and VF arrhythmias on time and treat them. In this project, three CNN networks are designed to introduce the practical methods of using deep learning in heart electrophys
Externí odkaz:
https://doaj.org/article/ed5c284f4db149079e56e6c27498bb22
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Artificial intelligence computing adapted from biology is a suitable platform for the development of intelligent machines by imitating the functional mechanisms of the nervous system in creating high-level activities such as learning, decisi
Externí odkaz:
https://doaj.org/article/0586179b42e44140828ad09a21f45c6a
Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e13766- (2023)
Background: The bidirectional brain-machine interfaces algorithms are machines that decode neural response in order to control the external device and encode position of artificial limb to proper electrical stimulation, so that the interface between
Externí odkaz:
https://doaj.org/article/c33e906b4e604f5d831e7e51be7279fb
Publikováno v:
Information Sciences. 622:1-15
Publikováno v:
Cognitive Computation. 15:694-709
Publikováno v:
Cognitive Neurodynamics.