The article discusses the current trend of patent offices around the world to restrict patent rights for Artificial Neural Network (ANN) technology. It highlights…
Browsing: Artificial Neural Network
This article discusses the use of generative learning models to accelerate the discovery of high-entropy dielectrics (HEDs) with high energy density. The authors use…
A kriging-based surrogate data-enriching artificial neural network (KS-ANN) model is developed to predict the properties of PCBMs with a small amount of data. This…
This study examines the influence of meteorological conditions on PM10 concentrations in Brunei-Muara district and the development of predictive forecasting models based on time…
This FAQ provides an overview of artificial neural networks (ANNs), including their components, layers, and top architectures. ANNs are comprised of neurons with four…
This paper provides a comprehensive study of the application of convolutional neural networks (CNNs) in the classification of human activity recognition (HAR) tasks. It…
This study employed artificial neural network (ANN), support vector regression and random forest regression approaches for forecasting. ANNs are a type of machine learning…
This article discusses the use of satellite remote sensing to identify crop genotypes for agricultural activities monitoring. It examines the use of multispectral radiometer…
Deep learning is a branch of machine learning that is based on artificial neural networks, which are inspired by the networks and functionalities of…
This study aimed to develop and implement a convolutional neural network (CNN) to identify expiratory flow limitation (EFL) in adults exhibiting a range of…