Achieving sustainability in heat drying processing: Leveraging artificial intelligence to maintain food quality and minimize carbon footprint
The food industry is a significant contributor to carbon emissions, impacting carbon footprint
(CF), specifically during the heat drying process. Conventional heat drying processes need …
(CF), specifically during the heat drying process. Conventional heat drying processes need …
Radiological characterization of the tailings of an abandoned copper mine using a neural network and geostatistical analysis through the Co-Kriging method
VM Expósito-Suárez, JA Suárez-Navarro… - Environmental …, 2024 - Springer
The radiological characterization of soil contaminated with natural radionuclides enables the
classification of the area under investigation, the optimization of laboratory measurements …
classification of the area under investigation, the optimization of laboratory measurements …
[HTML][HTML] 226Ra activity concentration determined directly from the 186 keV photopeak using gamma spectrometry and a neural network
JA Suárez-Navarro, JF Benavente… - Radiation Physics and …, 2024 - Elsevier
Determining 226 Ra activity concentration directly from the 186 keV photopeak using
gamma spectrometry avoids the 21-day waiting time required for indirect calculation from …
gamma spectrometry avoids the 21-day waiting time required for indirect calculation from …
[HTML][HTML] Use of a Machine Learning based method to detect anomalous Thermoluminescence Glow Curves (TL-GC) in routine Dosimetry Services
O Arquero, J Berenguer-Antequera… - Radiation …, 2024 - Elsevier
This contribution describes the development of a set of numerical methods based on
Machine Learning algorithms to generate an automated classification of experimental …
Machine Learning algorithms to generate an automated classification of experimental …