Computer applications have considerably shifted from single data processing to machine
learning in recent years due to the accessibility and availability of massive volumes of data …

An increasing availability of remote sensing data in the era of geo big-data makes producing
well-represented, reliable training data to be more challenging and requires an excessive …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Abstract The Self-Organizing Map (SOM) is a brain-inspired neural model that is very
promising for unsupervised learning, especially in embedded applications. However, it is …

Cortical plasticity is one of the main features that enable our ability to learn and adapt in our
environment. Indeed, the cerebral cortex self-organizes itself through structural and synaptic …

The visual evaluation and characteristic analysis of urban rivers are pivotal for advancing
our understanding of urban waterscapes and their surrounding environments. Unmanned …

The inherent dependency of deep learning models on labeled data is a well-known problem
and one of the barriers that slows down the integration of such methods into different fields …

Taxi demand forecasting from origin to destination (OD) is an important component in
managing public transportation needs on a city‐wide scale. Accurate taxi demand …

Facial feature tracking is a key component of imaging ballistocardiography (BCG) where
accurate quantification of the displacement of facial keypoints is needed for good heart rate …

The construction industry is expanding since it significantly contributes to the economy. At
the same time, the skilled labor shortage in the United States makes it challenging to …