Wang’s deep transfer learning model automatically creates intensity-modulated radiation therapy (IMRT) plans for adrenal stereotactic body radiation therapy (SBRT) cases using user-provided contours ...

A deep learning model is composed of layers that represent different ... The basic architecture of the transfer learning implementation, using `Keras`, appears below, where the `base_model` is the ...

AlexNet is one of the popular variants of the convolutional neural network and used as a deep learning framework ... of the ALexNet model as proposed in the research work of Alex Krizhevsky. In that ...

Abstract: Transfer learning is an approach in machine learning where a model that was built and ... We propose different approaches for deep transfer learning models to detect preferences from EEG ...

In this paper, we describe an application of transfer learning to perform domain transfer for deep learning models ... models within a single set of parameters thus greatly simplifying model ...

For the experiment, we will use the CIFAR-10 dataset and classify the ... we will instantiate the VGG19 that is a deep convolutional neural network as a transfer learning model. Defining VGG19 as a ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

This projects aims in detection of video deepfakes using deep learning techniques like ResNext and LSTM. We have achived deepfake detection by using transfer learning where ... the video and submit it ...