This paper presents APOSTLE, an asynchronously parallel optimization method for sizing analog transistors using Deep Neural Network (DNN) learning. This work introduces several methods to minimize ...

Alina Karakanta, Jon Dehdari, Josef van Genabith, Neural machine translation for low-resource languages without parallel corpora, Machine Translation, Vol. 32, No. 1/2, NLP in Low-Resource Languages ...

Scientists in India have proposed using a multilayer neural network to find line-to-ground, line-to-line, and bypass diode faults in PV module strings. They tested the new approach on a 22.5 kW ...