Zobrazeno 1 - 10
of 1 880
pro vyhledávání: '"sequential data"'
Autor:
Bian Chao, Huang Guangqiu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-28 (2024)
Abstract Amid escalating tension between environmental conservation and economic development, the imperative to enhance air quality has become increasingly urgent. This study elucidates a sophisticated approach for the assessment and remediation of a
Externí odkaz:
https://doaj.org/article/ee1bd14ad22945b79ba8f02e8037dc87
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study addresses challenges related to privacy issues in utilizing medical data, particularly the protection of personal information. To overcome this obstacle, the research focuses on data synthesis using real-world time-series generati
Externí odkaz:
https://doaj.org/article/8f43a7f4e2b041709f200ec4820c628c
Autor:
Yawar Abbas, Naif Al Mudawi, Bayan Alabdullah, Touseef Sadiq, Asaad Algarni, Hameedur Rahman, Ahmad Jalal
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionRecognizing human actions is crucial for allowing machines to understand and recognize human behavior, with applications spanning video based surveillance systems, human-robot collaboration, sports analysis systems, and entertainment. The
Externí odkaz:
https://doaj.org/article/f44dad1f863c4da884bc29aa0409df8d
Publikováno v:
Software, Vol 3, Iss 1, Pp 47-61 (2024)
Deep-SDM is a unified layer framework built on TensorFlow/Keras and written in Python 3.12. The framework aligns with the modular engineering principles for the design and development strategy. Transparency, reproducibility, and recombinability are t
Externí odkaz:
https://doaj.org/article/35bbe4e249bb4a5da553bd1dc2c55d7d
Publikováno v:
In Information Sciences August 2024 677
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7148 (2024)
The discrete element method (DEM) is a vital numerical approach for analyzing the mechanical behavior of elastoplastic wet sand. However, parameter uncertainty persists within the mapping between constitutive relationships and inherent model paramete
Externí odkaz:
https://doaj.org/article/6385678259ef49b2b53aa9e6eb30d914
Publikováno v:
Energies, Vol 17, Iss 12, p 2975 (2024)
Due to the demand for temporary rapid grid connection in renewable energy power plants, the topology structure of T-connected power lines has been widely used in the power grid. In this three-terminal system, fault localization is difficult because o
Externí odkaz:
https://doaj.org/article/70e6c421e4ee41fbb16550de0c26ecb7
Publikováno v:
Сучасний стан наукових досліджень та технологій в промисловості, Iss 3 (25) (2023)
The subject matter of this article revolves around the exploration of neural network architectures to enhance the accuracy of text classification, particularly within the realm of natural language processing. The significance of text classification h
Externí odkaz:
https://doaj.org/article/478cf51a5630464ab29f4882ae868a65
Autor:
Zhichun Liu, Jewoong Moon
Publikováno v:
Educational Technology & Society, Vol 26, Iss 2, Pp 181-197 (2023)
In this study, we have proposed and implemented a sequential data analytics (SDA)-driven methodological framework to design adaptivity for digital game-based learning (DGBL). The goal of this framework is to facilitate children’s personalized learn
Externí odkaz:
https://doaj.org/article/79c0ded60b254e15a39089d322461a3e
Publikováno v:
Сучасний стан наукових досліджень та технологій в промисловості, Iss 3 (25) (2023)
The subject matter of this article revolves around the exploration of neural network architectures to enhance the accuracy of text classification, particularly within the realm of natural language processing. The significance of text classification h
Externí odkaz:
https://doaj.org/article/90ee6c4c886045eeb34d109d48c5249f