Zobrazeno 1 - 10
of 1 330
pro vyhledávání: '"NEURAL NETWORK MODELING"'
Autor:
Lulah Alnaji
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37274- (2024)
Monkeypox is a viral disease that causes outbreaks in various countries, significantly impacting public health and healthcare systems. Effective preparedness and response efforts require accurately predicting the severity of these outbreaks. Currentl
Externí odkaz:
https://doaj.org/article/57eeabb37ff746f3983a3455d91e5cc1
Autor:
Hisham Alghamdi, Chika Maduabuchi, Kingsley Okoli, Abdullah Albaker, Mohammad Alobaid, Mohammed Alghassab, Emad Makki, Mohammad Alkhedher
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 104940- (2024)
This study presents a Bayesian neural network for the comprehensive performance forecast of an advanced thermoelectric system featuring segmented thermocouples with variable area shape for optimal solar energy conversion. The training data is obtaine
Externí odkaz:
https://doaj.org/article/93db5231ce5b426e9c186a6995996f9f
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100394- (2024)
Relative Oxygen Level of the Three-Way Catalyst is an important parameter that affects the conversion efficiency of pollutants. ROL is a time-varying hidden state variable that is difficult to directly observe in practice. Therefore, it is common to
Externí odkaz:
https://doaj.org/article/c45fcd65e04943fb9eef1c6dbf6d422e
Publikováno v:
In Journal of Building Engineering 1 December 2024 98
Autor:
Shayan Kabiri, Sharon M. O’Rourke
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Introduction: Modeling and mapping of soil organic carbon concentration and distribution at the pedon scale is a current knowledge gap that can be addressed by laboratory-based hyperspectral imaging and chemometric analysis of soil cores. Despite the
Externí odkaz:
https://doaj.org/article/800f9bc704cb4cf3b29055682b37f32d
Autor:
Lucas Alves Salles, Paulo Renato Pereira Silva, Guilherme Schwinn Fagundes, Jonas Sousasantos, Alison Moraes
Publikováno v:
Artificial Intelligence in Geosciences, Vol 4, Iss , Pp 209-219 (2023)
The vertical profile of the ionosphere density plays a significant role in the development of low-latitude Equatorial Plasma Bubbles (EPBs), that in turn lead to ionospheric scintillation which can severely degrade precision and availability of criti
Externí odkaz:
https://doaj.org/article/a2c133f72a5149beaa1cd602a432bccb
Autor:
Reza Rostamzadeh-Renani, Mohammadreza Baghoolizadeh, S. Mohammad Sajadi, Mostafa Pirmoradian, Mohammad Rostamzadeh-Renani, Sh. Baghaei, Soheil Salahshour
Publikováno v:
Alexandria Engineering Journal, Vol 84, Iss , Pp 184-203 (2023)
For conducting an analysis of the experimental data, it is imperative to establish a mathematical correlation between the input and output variables. This entails executing a curve fitting or regression procedure on the data, for which numerous metho
Externí odkaz:
https://doaj.org/article/0cd920bc47ae4c76919f2516f55ea1ba
Publikováno v:
Статистика и экономика, Vol 20, Iss 4, Pp 55-65 (2023)
The purpose of the study. The purpose of the paper is to assess the effectiveness of the use of regional budget expenditures on the example of the budgets of the Nizhny Novgorod and Mur-mansk regions. Materials and methods. General scientific methods
Externí odkaz:
https://doaj.org/article/3383ffa37c9c4557932840b14c4b058d
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Currently, English teaching in colleges and universities faces the challenge of low efficiency in vocabulary teaching. Deep learning technology, an advanced artificial intelligence technology, provides new ideas for solving this problem. Constructing
Externí odkaz:
https://doaj.org/article/97bb98c150154605ae43ccb9954346d2