Zobrazeno 1 - 10
of 3 923
pro vyhledávání: '"neural architecture"'
Publikováno v:
Alexandria Engineering Journal, Vol 113, Iss , Pp 150-168 (2025)
This paper introduces a novel metaheuristic algorithm, known as the efficient multiplayer battle game optimizer (EMBGO), specifically designed for addressing complex numerical optimization tasks. The motivation behind this research stems from the nee
Externí odkaz:
https://doaj.org/article/80c087f63d9f4730b9e61b5d9967ea75
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
This paper presents the Scene Adaptive Acoustic Encoder (SAAE) method, which is tailored to diverse acoustic environments for adaptive design. Hand-crafted acoustic encoders often struggle to adapt to varying acoustic conditions, resulting in perform
Externí odkaz:
https://doaj.org/article/a40c9b14df9443ecbbaf4906f34b5b55
Publikováno v:
智能科学与技术学报, Vol 6, Pp 272-280 (2024)
Aiming at the problem of poor generalization ability in hand-crafted architectures that overly rely on expert experience, a neural network architecture search method with an adaptive smoothness strategy was proposed. Firstly, an improved candidate op
Externí odkaz:
https://doaj.org/article/621018ed394b411493b1b08e2a29a17b
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-13 (2024)
Abstract A neural network model needs to be manually designed for ancient mural dynasty recognition, and this paper proposes an ancient mural dynasty recognition algorithm that is based on a neural architecture search (NAS). First, the structural edg
Externí odkaz:
https://doaj.org/article/7fea16f1280b43d7a2594353c208639c
Publikováno v:
Mathematics, Vol 12, Iss 23, p 3828 (2024)
The primary objective of our research is to enhance the efficiency and effectiveness of Neural Architecture Search (NAS) with regard to Graph Neural Networks (GNNs). GNNs have emerged as powerful tools for learning from unstructured network data, com
Externí odkaz:
https://doaj.org/article/962c190a214b4ee1b6ea593b40c3fa16
Publikováno v:
In Neural Networks January 2025 181
Akademický článek
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Publikováno v:
Brazilian Archives of Biology and Technology, Vol 67 (2024)
Abstract Real-time monitoring of crop growth has become indispensable in modern agriculture, facilitating prompt detection of crop stress, diseases, and nutrient deficiencies by farmers. This study investigates the feasibility of leveraging unmanned
Externí odkaz:
https://doaj.org/article/109cd7577ea64902a3ca0d0f0872a3ec
Publikováno v:
Frontiers in High Performance Computing, Vol 2 (2024)
The convincing performances of deep neural networks (DNNs) can be degraded tremendously under malicious samples, known as adversarial examples. Besides, with the widespread edge platforms, it is essential to reduce the DNN model size for efficient de
Externí odkaz:
https://doaj.org/article/9cad631153314868ab79bb136115ea76
Autor:
Meyler, Samuel Viana a, ⁎, Rennie, Scott M. b
Publikováno v:
In New Ideas in Psychology April 2025 77