|
|
|
|
|
George Lazaroiu, Mihai Andronie, Mariana Iatagan, Marinela Geamanu, Roxana ?tefanescu and Irina Dijmarescu
The purpose of our systematic review is to examine the recently published literature on the Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep learning-assisted smart process planning, robotic wireless sensor networ...
ver más
|
|
|
|
|
|
|
|
|
Athanasios Koukofikis and Volker Coors
Moving into the third decade of the 21st century, smart cities are becoming a vital concept of advancement of the quality of life. Without any doubt, cities today can generate data of high velocity which can be used in plethora of applications. The wind ...
ver más
|
|
|
|
|
|
|
|
|
Martina Cignetti, Diego Guenzi, Francesca Ardizzone, Paolo Allasia and Daniele Giordan
Nowadays, the increasing demand to collect, manage and share archives of data supporting geo-hydrological processes investigations requires the development of spatial data infrastructure able to store geospatial data and ground deformation measurements, ...
ver más
|
|
|
|
|
|
|
|
|
Arttu Julin, Kaisa Jaalama, Juho-Pekka Virtanen, Mikko Maksimainen, Matti Kurkela, Juha Hyyppä and Hannu Hyyppä
The Internet has become a major dissemination and sharing platform for 3D content. The utilization of 3D measurement methods can drastically increase the production efficiency of 3D content in an increasing number of use cases where 3D documentation of r...
ver más
|
|
|
|
|
|
|
|
|
Bartolomeo Ventura, Andrea Vianello, Daniel Frisinghelli, Mattia Rossi, Roberto Monsorno and Armin Costa
Finding a solution to collect, analyze, and share, in near real-time, data acquired by heterogeneous sensors, such as traffic, air pollution, soil moisture, or weather data, represents a great challenge. This paper describes the solution developed at Eur...
ver más
|
|
|
|