… small, and there are many factors affecting the inversion results, in … , we focus on the systematic
analysis of the preprocessing of … Therefore, based on the implementation of TCN seismic …

… The other models are artificial intelligence approaches such as neural network, fuzzy system…
(1998) presented a study of a hybrid AI artificial intelligence approach to the implementation …

… an artificial neural network that systematically identifies weak products and selects elimination
strategies. This paper first reviewed … For strategies applied to implementing the elimination …

… Artificial Intelligence Internet of Things (AIoT)-based Smart Lighting System. The goals of this
four-year project are to: (a) conduct literature review … will be implemented to rigorously test …

… learning, cognitive computing systems and others, while … a determining factor in the onset of
the artificial intelligence era. This … implementation of such CC systems as speech recognition …

… This study applied the Artificial Neural Network (ANN) to … The unsupervised machine learning
ANN Self-Organizing … , the spatial analysis and clustering algorithms were implemented to …

… , artificial neural network (ANN) is a way to use limited data to estimate the entire range of
data. The purpose of this study … parameters for the artificial neural network, with transmissivity …

… , researchers have implemented machine learning algorithms with … Several artificial intelligence
winters stemmed from … of alzheimer’s disease: a systematic review. Sensors (Basel) 21:…

… (machine learning) y métodos estadísticos para hacer frente a este problema. El marco esta
compuesto por a) una red neuronal artificial (artificial neural network- … We did not implement …