… which is integrated with a deep neural network. These stages, … methods within a deep learning
pipeline can further increase … are used within deep learning frameworks either to optimally …

… This work presents k CNN-LSTM, a deep learning framework that operates on the energy …
data makes it a suitable deep learning model for energy consumption forecast problems. …

… DeepONets have recently been proposed as a framework for learning … We illustrate our
general framework with four prototypical … class of operators with this machine learning framework. …

… We present the application of a class of deep learning, known as … are based on training one
deep neural network (DNN), we … To validate the model, we test the framework on synthetic …

… is to present a novel deep learning internet of health and things (IoHT) driven framework
for skin lesion classification in skin images using the concept of transfer learning. In proposed …

… In conclusion, our deep learning framework was able to obtain high accuracy Alzheimer’s
disease classification signatures from MRI data, and our model was validated against data …

… This paper proposes a new hybrid deep learning framework, … obtained from two discriminative
deep learning models. The … This is followed by applying two distinctive deep learning …

In the last few months, the novel COVID19 pandemic has spread all over the world. Due to its
easy transmission, developing techniques to accurately and easily identify the presence of …

… -in-network architectures, which have much deeper layers than those of VGG models, …
transfer learning for a 2D deep learning framework can be robustly applied to deep learning …

… deep learning framework named DDIMDL that combines diverse drug features with deep
learning … DDIMDL first constructs deep neural network (DNN)-based sub-models, respectively, …