scispace - formally typeset
E

Eduardo Silva

Researcher at Polytechnic Institute of Porto

Publications -  129
Citations -  1278

Eduardo Silva is an academic researcher from Polytechnic Institute of Porto. The author has contributed to research in topics: Robot & Search and rescue. The author has an hindex of 15, co-authored 124 publications receiving 1020 citations. Previous affiliations of Eduardo Silva include Instituto Superior de Engenharia do Porto & International Student Exchange Programs.

Papers
More filters
Journal ArticleDOI

Abdominal Aortic Aneurysms and Q Fever: An Odd Connection to Keep in Mind.

TL;DR: To the authors’ knowledge, this is the first AAA caused by chronic Q fever treated with an endoprosthesis, and it is unclear if this is a newAAA or a repeat of previous AAAs.
Journal ArticleDOI

Myopia control: short-term effect of 0.01% atropine vs. defocus incorporated multiple segment lenses-a retrospective study in European children.

TL;DR: In this article , the authors compared 0.01% atropine with DIMS spectacle lenses in the prevention of myopia progression in European children and found no statistically significant differences between groups in terms of initial axial length (AL), initial SE, sex or age.
Journal ArticleDOI

Precipitation‐Driven Gamma Radiation Enhancement Over the Atlantic Ocean

TL;DR: Gamma radiation over the Atlantic Ocean was measured continuously from January to May 2020 by a NaI(Tl) detector installed on board the Portuguese navy's ship NRP Sagres as discussed by the authors .
Book ChapterDOI

Evaluation of Lightweight Convolutional Neural Networks for Real-Time Electrical Assets Detection

TL;DR: This work presents an electrical assets monitoring system for detection of insulators and structures from images captured through a UAV, based on lightweight Convolutional Neural Networks and able to run on a portable device, aiming for a low cost, accurate and modular system, capable of running in real time.
Proceedings ArticleDOI

ROSM - Robotic Oil Spill Mitigations

TL;DR: In this paper, the authors address the development of a team of autonomous vehicles able to carry, as payload, native organisms to naturally degrade oil spills (avoiding the introduction of additional chemical or biological additives), and then a multi-robot system able to provide a first line responses to oil spill incidents under unfavourable and harsh conditions with low human intervention.