Recently, 3D Convolutional Neural Network (3D CNN) models have been widely studied for
video sequences and achieved satisfying performance in action recognition and detection …

An opportune early diagnosis of Alzheimer's disease (AD) would help to overcome
symptoms and improve the quality of life for AD patients. Research studies have identified …

Underwater survey and inspection are tasks of paramount relevance for a variety of
applications. They are usually performed through the employment of optical and acoustic …

To facilitate the identification of arrhythmia, in this study, an S-shaped reconstruction method
was proposed, and a two-dimensional (2-D) 19-layer deep squeeze-and-excitation residual …

Aiming at the convergence between Earth observation (EO) Big Data and Artificial General
Intelligence (AGI), this two-part paper identifies an innovative, but realistic EO optical …

We humans are easily able to instantaneously detect the regions in a visual scene that are
most likely to contain something of interest. Exploiting this pre-selection mechanism called …

Despite decades of attempts to create a model for predicting gaze locations by using
saliency maps, a highly accurate gaze prediction model for general conditions has yet to be …

Aiming at the convergence between Earth observation (EO) Big Data and Artificial General
Intelligence (AGI), this paper consists of two parts. In the previous Part 1, existing EO optical …

Spectra of ordered eigenvalues of finite random matrices are interpreted as a time series.
Data-adaptive techniques from signal analysis are applied to decompose the spectrum in …

This book describes how reconfigurable hardware technology like field programmable gate
arrays can be used to offer a cost-efficient and flexible platform for implementation in …