Zobrazeno 1 - 10
of 125
pro vyhledávání: '"hyperparameters tuning"'
Publikováno v:
Nonlinear Engineering, Vol 12, Iss 1, Pp 1631-43 (2023)
A fully fledged face recognition system consists of face detection, face alignment, and face recognition. Facial recognition has been challenging due to various unconstrained factors such as pose variation, illumination, aging, partial occlusion, low
Externí odkaz:
https://doaj.org/article/0544a9edc7f64a4ab3549b152511cd49
Autor:
Giorgia Franchini
Publikováno v:
Mathematics, Vol 12, Iss 6, p 850 (2024)
This paper discusses the challenges of the hyperparameter tuning in deep learning models and proposes a green approach to the neural architecture search process that minimizes its environmental impact. The traditional approach of neural architecture
Externí odkaz:
https://doaj.org/article/127e5b87d0d846959cdff1754d328697
Publikováno v:
IEEE Access, Vol 11, Pp 106733-106748 (2023)
Distributed denial of service (DDoS) attacks continue to be a major security concern, threatening the availability and reliability of network services. Software-defined networking (SDN) has emerged as a promising solution to address this issue, enabl
Externí odkaz:
https://doaj.org/article/4528b32fc1714b2787bc9d4098c0058e
Publikováno v:
Emerging Science Journal, Vol 7, Iss 1, Pp 1-15 (2022)
Product recommendation is considered a well-known technique for bringing customers and products together. With applications in music, electronic shops, or almost any platform the user daily deals with, the recommendation system’s sole scope is to h
Externí odkaz:
https://doaj.org/article/298295fa674d4c828dd3951665947289
Akademický článek
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Akademický článek
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Autor:
Samia Mezzah, Abdelmalek Tari
Publikováno v:
Intelligent Systems with Applications, Vol 18, Iss , Pp 200212- (2023)
EEG-based emotional states recognition is an active research direction, rushed up by recent emerging applications of intelligent systems and smart environments. However, accurate EEG-based emotion recognition is still challenging even with the use of
Externí odkaz:
https://doaj.org/article/500ead80aca84e22b501cec33cdebca0
Autor:
Zahi M. Omer, Hussain Shareef
Publikováno v:
Energy Conversion and Management: X, Vol 16, Iss , Pp 100333- (2022)
The intermittent nature of the output power of photovoltaic (PV) systems, in addition to the fast-varying solar irradiance, has prompted the development of fast, accurate, and reliable forecasting techniques. This paper presents a comparative study o
Externí odkaz:
https://doaj.org/article/acbfbdfc93e34eff9540ef9a5d49c3a0
Akademický článek
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Publikováno v:
Journal of Applied Science and Engineering, Vol 25, Iss 2, Pp 261-273 (2021)
Ultimate bearing capacity is one of the most important parameters in designing shallow foundations. This study focused on developing a hybrid model using Random Search (RS) technique and Deep Neural Network (DNN) to predict the maximum bearing capaci
Externí odkaz:
https://doaj.org/article/b5cb7580777d46e1ab8d2385aea55ed7