Zobrazeno 1 - 10
of 2 838
pro vyhledávání: '"propagation algorithm"'
Publikováno v:
大数据, Vol 10, Pp 96-108 (2024)
Behavioral representations of the patients with depression reflect the clinical features and condition of the patients, therefore it is beneficial for disease diagnosis. However, in the construction of current depression lexicon, the correlation betw
Externí odkaz:
https://doaj.org/article/0547b7dbeb404d40bd29f77839ff7784
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 4883-4896 (2024)
Abstract The performance improvement of CMOS computer fails to meet the enormous data processing requirement of artificial intelligence progressively. The memristive neural network is one of the most promising circuit hardwares to make a breakthrough
Externí odkaz:
https://doaj.org/article/7b68cd735f3a48c88a7e69c8d3e2997e
Autor:
Zainab Akhtar, Syed Abbas Zilqurnain Naqvi, Mirza Tariq Hamayun, Muhammad Ahsan, Ahsan Nadeem, S. M. Muyeen, Arman Oshnoei
Publikováno v:
IEEE Access, Vol 12, Pp 98107-98120 (2024)
The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations
Externí odkaz:
https://doaj.org/article/bad6f52d87a84fae86a321563c5b1a3d
Publikováno v:
IEEE Access, Vol 12, Pp 81221-81235 (2024)
This study aimed to investigate the application of label propagation techniques to propagate labels among photoplethysmogram (PPG) signals, particularly in imbalanced class scenarios and limited data availability scenarios, where clean PPG samples ar
Externí odkaz:
https://doaj.org/article/3939fea754684088841ab78140416c86
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9691 (2024)
High-power linearly polarized fiber lasers are widely used in coherent beam combination, nonlinear frequency conversion, and gravitational wave detection. With the increase in output power, it is challenging for fiber lasers to maintain a high polari
Externí odkaz:
https://doaj.org/article/7dbf5346edc54dd9977ef6d25e96d550
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9959 (2024)
The development of automation and intelligence in geological core drilling is not yet mature. The selection and improvement of drilling parameters rely mainly on experience, and adjustments are often made after drilling by evaluating the core, which
Externí odkaz:
https://doaj.org/article/077155b46db5454f963c34970081bb39
Autor:
G. Kumaravel, S. Kirthiga, Mohammed Mahmood Hamed Al Shekaili, Qais Hamed Saif Abdullah AL Othmani
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 5(SI) (2024)
The topographical nature of the Sultanate of Oman makes the solar power system a viable and reliable option for bulk power production in the renewable energy market. Many desert areas of Oman experience high levels of solar radiation. This is suitabl
Externí odkaz:
https://doaj.org/article/30f059a4d3184681ba91d7cc6f001a07
Dynamic Behavior Forecast of an Experimental Indirect Solar Dryer Using an Artificial Neural Network
Autor:
Angel Tlatelpa Becerro, Ramiro Rico Martínez, Erick César López-Vidaña, Esteban Montiel Palacios, César Torres Segundo, José Luis Gadea Pacheco
Publikováno v:
AgriEngineering, Vol 5, Iss 4, Pp 2423-2438 (2023)
This research presents the prediction of temperatures in the chamber of a solar dryer using artificial neural networks (ANN). The dryer is a forced-flow type and indirect. Climatic conditions, temperatures, airflow, and geometric parameters were cons
Externí odkaz:
https://doaj.org/article/b0826d47f3f64440bac4b014dae58f5a
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 15, Iss 7, Pp 1749-1758 (2023)
Objective and accurate evaluation of rock mass quality classification is the prerequisite for reliable stability assessment. To develop a tool that can deliver quick and accurate evaluation of rock mass quality, a deep learning approach is developed,
Externí odkaz:
https://doaj.org/article/6478b6bd19cd457cbec576a0d6ea39b8
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The ability of fast restoration reflects power system resilience and safety. This paper proposes a partitioning decision-making method for parallel restoration based on the label propagation algorithm and the cooperative game theory. The topological
Externí odkaz:
https://doaj.org/article/795e097e3aa142f1afcdc9e0953bc322