Objective. Electroencephalography (EEG) analysis has been an important tool in
neuroscience with applications in neuroscience, neural engineering (eg Brain–computer …

Deep learning is revolutionising the way that many industries operate, providing a powerful
method to interpret large quantities of data automatically and relatively quickly. Deterioration …

The ability of deep learning architectures to identify glaucomatous optic neuropathy (GON)
in fundus photographs was evaluated. A large database of fundus photographs (n= 14,822) …

Deep learning and computer vision algorithms can deliver highly accurate and automated
interpretation of medical imaging to augment and assist clinicians. However, medical …

Visually impaired people face numerous difficulties in their daily life, and technological
interventions may assist them to meet these challenges. This paper proposes an artificial …

Most body image studies assess only linear relations between predictors and outcome
variables, relying on techniques such as multiple Linear Regression. These predictor …

Real-time tool segmentation is an essential component in computer-assisted surgical
systems. We propose a novel real-time automatic method based on Fully Convolutional …

Abstract Three-dimensional (3D) printing is an additive manufacturing technology that
utilizes digital design and layer-by-layer material deposition to construct real objects. In …

Despite the importance of sperm DNA to human reproduction, currently no method exists to
assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled …

In recent years, data analytics has enabled the policy makers to improve the accuracy levels
of results while framing policies and strategies. This research field still has great potential …