Evaluation of fresh meat quality by hyperspectral imaging (HSI), nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI): a review

T Antequera, D Caballero, S Grassi, B Uttaro… - Meat Science, 2021 - Elsevier
The development of non-destructive methodologies based on Hyperspectral Imaging (HSI),
Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI) techniques to …

Modelling of roof geometries from low-resolution LiDAR data for city-scale solar energy applications using a neighbouring buildings method

J Gooding, R Crook, AS Tomlin - Applied Energy, 2015 - Elsevier
This article describes a method to model roof geometries from widely available low-
resolution (2 m horizontal) Light Detection and Ranging (LiDAR) datasets for application on …

Modeling salt diffusion in Iberian ham by applying MRI and data mining

D Caballero, A Caro, PG Rodríguez, ML Durán… - Journal of food …, 2016 - Elsevier
Salt content analysis is needed to ensure a healthy level of sodium in foods. In Iberian hams,
this is laborious, time consuming and destructive analysis. This study proposes the use of an …

Use of magnetic resonance imaging to analyse meat and meat products non-destructively

D Caballero, T Pérez-Palacios, A Caro… - Food Reviews …, 2023 - Taylor & Francis
The methodology traditionally used to analyse the quality parameters of meat and meat
products involves the destruction of the samples. Moreover, these techniques are tedious …

Evaluating risk to people and property for aircraft emergency landing planning

PFA Di Donato, EM Atkins - Journal of Aerospace Information Systems, 2017 - arc.aiaa.org
General aviation and small unmanned aircraft systems are less redundant, may be less
thoroughly tested, and are flown at lower cruise altitudes than commercial aviation …

Development of a methodology for parametric analysis of STOL airpark geo-density

JN Robinson, MDR Sokollek, CY Justin… - 2018 Aviation …, 2018 - arc.aiaa.org
Vehicles designed for urban air mobility (UAM) or on-demand mobility (ODM) applications
typically adopt an architecture enabling vertical takeoff and landing (VTOL) capabilities …

Optimization of MRI acquisition and texture analysis to predict physico-chemical parameters of loins by data mining

T Pérez-Palacios, D Caballero, T Antequera… - Food and bioprocess …, 2017 - Springer
The main objective of this study was to configure the acquisition and analysis of low-field
magnetic resonance imaging (MRI) to predict physico-chemical characteristics of Iberian …

Prediction of pork quality parameters by applying fractals and data mining on MRI

D Caballero, T Pérez-Palacios, A Caro… - Food Research …, 2017 - Elsevier
This work firstly investigates the use of MRI, fractal algorithms and data mining techniques to
determine pork quality parameters non-destructively. The main objective was to evaluate the …

Data mining on MRI-computational texture features to predict sensory characteristics in ham

D Caballero, T Antequera, A Caro, ML Duran… - Food and Bioprocess …, 2016 - Springer
In this study, data mining technique was applied on computational texture features obtained
from the analysis of magnetic resonance imaging (MRI) of hams, with the main objective of …

Non‐destructive analysis of sensory traits of dry‐cured loins by MRI–computer vision techniques and data mining

D Caballero, T Antequera, A Caro… - Journal of the …, 2017 - Wiley Online Library
BACKGROUND Magnetic resonance imaging (MRI) combined with computer vision
techniques have been proposed as an alternative or complementary technique to determine …