Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Seong-Yoon Shin"'
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9445 (2024)
In the context of edge environments with constrained resources, realizing real-time and robust crosswalk and guide arrow detection poses a significant challenge for autonomous driving systems. This paper proposes a crosswalk and guide arrow detection
Externí odkaz:
https://doaj.org/article/a407404459234d71ac60e0a4f97670fe
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9506 (2024)
This study introduces the Data-Driven Personalized Learning Model (DDPLM), a sophisticated framework designed to enhance foreign language acquisition through the integration of big data analytics. Implemented within the educational platforms Edmodo a
Externí odkaz:
https://doaj.org/article/66e34371344d4efda7ee3dbc5fe13f35
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5651 (2024)
This research presents the Cross-Cultural Intelligent Language Learning System (CILS), a novel approach integrating artificial intelligence (AI) into language education to enhance cross-cultural communication. CILS utilizes advanced AI technologies t
Externí odkaz:
https://doaj.org/article/c45bc6c087bd41e58c9512d9d228e99f
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 916 (2024)
This study introduces a novel approach named the Dynamic Feedback-Driven Learning Optimization Framework (DFDLOF), aimed at personalizing educational pathways through machine learning technology. Our findings reveal that this framework significantly
Externí odkaz:
https://doaj.org/article/1fdf5100ee1049529f02ace0808a25c3
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12557 (2023)
With the widespread application of virtual reality (VR) in education, optimizing foreign language learning in VR has become a focal point of research. This paper introduces a comprehensive theoretical framework (VR-CCL) based on constructivism and co
Externí odkaz:
https://doaj.org/article/841b616898224479806b7b2153669f60
Publikováno v:
Journal of ICT, Vol 22, Iss 1 (2023)
Image recognition and classification is a significant research topic in computational vision and widely used computer technology. The methods often used in image classification and recognition tasks are based on deep learning, like Convolutional Neur
Externí odkaz:
https://doaj.org/article/4e0f69619bd346e5bdd711669e04520b
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7628 (2023)
This study presents an insightful examination of the conceptual and practical facets of the Metaverse by establishing a novel theoretical framework underpinned by an empirical case study of the Sandbox platform. Anchored in the principles of legality
Externí odkaz:
https://doaj.org/article/8212b3d50cc64e57b91070ceb36cb1b1
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1298 (2023)
Deep neural networks (DNNs) have famously been applied in various ordinary duties. However, DNNs are sensitive to adversarial attacks which, by adding imperceptible perturbation samples to an original image, can easily alter the output. In state-of-t
Externí odkaz:
https://doaj.org/article/84745422cfcb460482f3b58dbbf3318b
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8087 (2022)
Differential evolution (DE) is a very effective stochastic optimization algorithm based on population for solving various real-world problems. The quality of solutions to these problems is mainly determined by the combination of mutation strategies a
Externí odkaz:
https://doaj.org/article/9e41e892b2b34e77b90ff47f76985faf
Publikováno v:
Journal of the Korea Institute of Information & Communication Engineering; Aug2024, Vol. 28 Issue 8, p945-950, 6p