Medical image analysis plays an irreplaceable role in diagnosing, treating, and monitoring
various diseases. Convolutional neural networks (CNNs) have become popular as they can …

Nowadays, meteorological data plays a crucial role in various fields such as remote sensing,
weather forecasting, climate change, and agriculture. The regional and local studies call for …

Although deep learning applicability in various fields of earth sciences is rapidly increasing,
shallow multilayer-perceptron neural networks remain widely used for regression problems …

Dropout is a mechanism to prevent deep neural networks from overfitting and improving
their generalization. Random dropout is the simplest method, where nodes are randomly …

The application of tiny machine learning (TinyML) in human-computer interaction is
revolutionizing gesture recognition technologies. However, there remains a significant gap …

Dropout regularization of deep neural networks has been a mysterious yet effective tool to
prevent overfitting. Explanations for its success range from the prevention of" co-adapted" …

As people communicate with each other, they use gestures and facial expressions as a
means to convey and understand emotional state. Non-verbal means of communication are …

Abstract Stochastic gradient Markov Chain Monte Carlo (SGMCMC) is a scalable algorithm
for asymptotically exact Bayesian inference in parameter-rich models, such as Bayesian …