The lack of radiologists and the increasing need for quick and precise fracture diagnosis have highlighted the need for automated diagnostic technologies. 1,2 Deep learning (DL) is used by ...

Faculty of Food Technology and Quality Management of Agricultural Products, National University of Life and Environmental Sciences of Ukraine, Kyiv 57207861801, Ukraine ...

The BP neural network intelligent control algorithm optimized by genetic algorithm is introduced into the optical storage integrated system. By improving the double closed-loop PID control strategy, ...

Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.

This project uses sentiment analysis using tweepy and textblob and Deep Learning model, Long-Short Term Memory (LSTM) Recurrent neural network (RNN) algorithm to predict closing prices of stocks.

By applying the genetic algorithm to MUSIC and a process of genetic mutation, we can reduce the latency of the linear antenna by about 70%. The running time of the algorithm leads us to explore neural ...

Background: In the power system, the identification of the health status of the transmission tower is a daily task that must be performed. In addition, bolt loosening is a common damage mode affecting ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

A genetic algorithm-optimized back-propagation (BP) neural network was developed, starting with feature selection via the minimum redundancy maximum relevance algorithm to rank feature importance. The ...