The aim of this work is to carry out a comparative study of face recognition methods that are suitable to work in unconstrained environments.The analyzed methods are selected by considering their performance in former comparative studies, in addition to be real-time, to require just one image per person, and to be fully online.In the study two loca
The coronavirus disease 2019 afck benchmade (COVID-19) pandemic is strongly changing the way most people live their lives, and disrupting specialist healthcare systems.Such public health disruptions have resulted in significant collateral damage with particular implications for vulnerable populations, including the perinatal population.This Study a
The registration of multimodal satellite images is essential for a prerequisite for accruing complementary observational data.Nevertheless, the differential imaging nuances amongst non-linear radiometric multimodal images precipitate a complexity in keypoint detection, rendering it a great challenge.This complexity exacerbates the difficulty encoun
Oyster reefs are biodiversity hotspots with multiple ecosystem functions and services that are declining worldwide.Historic populations of European oysters (Ostrea edulis) have been decimated by overfishing and are nowadays considered functionally extinct in European waters.To halt and reverse the associated biodiversity loss, oyster reef restorati