Application of deep learning for solar irradiance and solar photovoltaic multi-parameter forecast
In this study, the use of artificial neural network (ANN) models for solar irradiance and solar
PV parameters forecasting in Nigeria is presented. Although solar irradiance prediction …
PV parameters forecasting in Nigeria is presented. Although solar irradiance prediction …
[HTML][HTML] Google Colaboratory como alternativa para el procesamiento de una red neuronal convolucional
Este estudio realizó un análisis del rendimiento de Google Colaboratory en el
entrenamiento de una red neuronal convolucional para la clasificación de imágenes. Las …
entrenamiento de una red neuronal convolucional para la clasificación de imágenes. Las …
Intelligent generation method for innovative structures of the main truss in a steel bridge
WF Du, YQ Wang, H Wang, YN Zhao - Soft Computing, 2023 - Springer
The main truss is the core load-bearing component of a steel truss bridge, but most of the
current steel trusses have the problems of a single form and insufficient optimization. Aiming …
current steel trusses have the problems of a single form and insufficient optimization. Aiming …
Realization of a temperature sensor using both two-and three-dimensional photonic structures through a machine learning technique
A temperature sensor based on photonic crystal structures with two-and three-dimensional
geometries is proposed, and its measurement performance is estimated using a machine …
geometries is proposed, and its measurement performance is estimated using a machine …
Study on compressive strength characteristics of selective inhibition sintered UHMWPE specimens based on ANN and RSM approach
Selective inhibition sintering (SIS) is an evolving additive manufacturing (AM) technology
that enables to build functional parts from various polymers, metals and ceramics materials …
that enables to build functional parts from various polymers, metals and ceramics materials …
Reverse engineering and analysis of microstructure polymer fiber via artificial neural networks: simplifying the design approach
Microstructure polymer fibers have been extensively researched for their applications in
various fields. The design and simulation of these fibers have utilized time-consuming …
various fields. The design and simulation of these fibers have utilized time-consuming …
Design and investigation of free space optical system for diverse atmospheric transmission windows
Free space optics is a light-wave communication technology that operates in the near-
infrared region of the electromagnetic spectrum (about 700–1675 nm) and uses atmospheric …
infrared region of the electromagnetic spectrum (about 700–1675 nm) and uses atmospheric …
An Energy Efficient Resource Provisioning Scheme For Joint all Photonic and Wireless Networks
M Molefe, B Nleya - … Intelligence, Big Data, Computing and Data …, 2022 - ieeexplore.ieee.org
Flexible joint all photonic and wireless transport networks are a promising backbone
network technological solution to accommodate the various dynamic bandwidth natured …
network technological solution to accommodate the various dynamic bandwidth natured …
Realization of 20 Monochromatic Laser Beams Using a Photonic Crystal (PhC) Structure via the Principle of Filtering.
The current work employs a Si-based one-dimensional (1-D) photonic structure which
delivers 20 different types of monochromatic laser beam via the filtering action. The I/P …
delivers 20 different types of monochromatic laser beam via the filtering action. The I/P …
Computational Intelligence in Photonics Technology and Optical Networks: A Survey and Future Perspectives
G Varghese - 2020 5th International Conference on …, 2020 - ieeexplore.ieee.org
Increased use of internet services require the implementation of optical networks for
increasing the reliability of the services efficiently. The optical network requires managing …
increasing the reliability of the services efficiently. The optical network requires managing …