Abstract: BP neural network has been widely used in pattern recognition, predictive analysis, control optimization, data mining, etc. Optimizing its structure holds immense importance. For the sake of ...

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

The authors declare they have no conflict of interest. Studies published before 2024 that employed CNN models to identify skull fractures on CT scans were found using PubMed, Scopus, and Web of ...

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional ...

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices. Essential deep learning algorithms, concepts, examples and ...

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.

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...