The application of computer vision systems in meat science and industry–A review

M Modzelewska-Kapituła, S Jun - Meat science, 2022 - Elsevier
Computer vision systems (CVS) are applied to macro-and microscopic digital photographs
captured using digital cameras, ultrasound scanners, computer tomography, and wide-angle …

Applying artificial intelligence on EDA sensor data to predict stress on minimally invasive robotic-assisted surgery

D Caballero, MJ Pérez-Salazar… - International Journal of …, 2024 - Springer
Purpose This study aims predicting the stress level based on the ergonomic (kinematic) and
physiological (electrodermal activity—EDA, blood pressure and body temperature) …

[HTML][HTML] In-process analysis of pharmaceutical emulsions using computer vision and artificial intelligence

S Unnikrishnan, J Donovan, R Macpherson… - … Research and Design, 2021 - Elsevier
Determining the uniformity and consistency of droplet size in the dispersed phase is key to
emulsion stability. Conventional methods, which include manual microscopic evaluation and …

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 …

[PDF][PDF] Application of hyperspectral imaging and chemometrics for classifying plastics with brominated flame retardants

D Caballero, M Bevilacqua, JM Amigo - Journal of Spectral Imaging, 2019 - core.ac.uk
Most plastics need to incorporate flame retardants (FR) to meet fire safety standard
requirements. FRs are organic compounds used to increase the resistance to ignition …

Quality control of fresh strawberries by a random forest model

MN Ribeiro, IA Carvalho, GA Fonseca… - Journal of the …, 2021 - Wiley Online Library
BACKGROUND Strawberry quality is one of the most important factors that guarantees
consistent commercialization of the fruit and ensures the consumer's satisfaction. This work …

Use of MRI as a predictive tool for physicochemical and rheologycal features during cured ham manufacturing

AB García-García, ME Fernández-Valle, D Castejón… - Meat science, 2019 - Elsevier
Magnetic resonance imaging (MRI) was used to study the structural changes during dry-
cured ham manufacturing. T 1, T 2 and apparent diffusion coefficient (ADC) were …

An experimental protocol to determine quality parameters of dry-cured loins using low-field magnetic resonance imaging

D Caballero, PG Rodríguez, A Caro… - Journal of Food …, 2022 - Elsevier
The objective of this study was to achieve an experimental protocol (EP) to determine quality
characteristics of dry-cured loins non-destructively by using low-field (LF) Magnetic …

Computer vision techniques on magnetic resonance images for the non-destructive classification and quality prediction of chicken breasts affected by the White …

L Carvalho, T Pérez-Palacios, D Caballero… - Journal of Food …, 2021 - Elsevier
This study was designed to assess the capability of MRI-computer vision algorithms, as a
non-destructive technique, to classify and predict quality characteristics of chicken breast …

[HTML][HTML] Correlation Study and Predictive Modelling of Ergonomic Parameters in Robotic-Assisted Laparoscopic Surgery

MJ Pérez-Salazar, D Caballero, JA Sánchez-Margallo… - Sensors, 2024 - mdpi.com
BACKGROUND: This study aims to continue research on the objective analysis of
ergonomic conditions in robotic-assisted surgery (RAS), seeking innovative solutions for the …