... power system planning. Design/methodology/approach In this paper, a long short-term memory (LSTM)-based double deep Q-learning (DDQL) neural network (NN) is proposed for forecasting solar PV power indirectly over the long-term horizon. The past solar irradiance, temperature and wind speed are used...

... of COVID-19 patients. Neural networks-based methods are designed to detect COVID patients using chest CT scan images. And CT images are transmitted securely in health information systems. Findings The authors hereby examine neural networks-based COVID diagnosis methods using chest CT scan images...

... for the learning process depend on the spoken word structure and of the variability of the actual work situation (word length, noise, speaker, etc). ^* E-mail: azaatri@yahoo.com 13 1 2015 29 3 2015 design experiments MLP Neural networks Speech recognition Supervised...