Clustering is a fundamental machine learning task, which aim at assigning instances into
groups so that similar samples belong to the same cluster while dissimilar samples belong …

Robot-assisted and computer-integrated surgery provides innovative, minimally invasive
solutions to heal complex injuries and diseases. The dominant portion of these surgical …

Mobile-edge computing (MEC) is a new computing paradigm that enables cloud computing
and information technology (IT) services to be delivered at the network's edge. By shifting …

In fishery acoustics, surveys using sensor systems such as sonars and echosounders have
been widely considered to be accurate tools for acquiring fish species data, fish species …

From conventional turbines to cutting-edge bladeless turbines, energy harvesting from wind
has been well explored by researchers for more than a century. The vortex bladeless wind …

Efficient modeling of high-dimensional data requires extracting only relevant dimensions
through feature learning. Unsupervised feature learning has gained tremendous attention …

The depletion of fossil energy reserves and the environmental pollution caused by these
sources highlight the need to harness renewable energy sources from the oceans, such as …

Increasing consumer awareness, scale of manufacture, and demand to ensure safety,
quality and sustainability have accelerated the need for rapid, reliable, and accurate …

Given recent advances in deep learning, semi-supervised techniques have seen a rise in
interest. Generative adversarial networks (GANs) represent one recent approach to semi …

The estimation of pre-harvest fruit quality and maturity is essential for growers to determine
the harvest timing, storage requirements and profitability of the crop yield. In-field fruit …