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Automatic Synthesis of Feedforward Elements in Quantitative Feedback Theory
(Wiley, 2021-06-04)
Recent developments in quantitative feedback theory (QFT) lead to feedforward design problems with both magnitude and phase constraints. In these cases, manual feedforward tuning becomes much more challenging and time ...
A probabilistic model and capturing device for remote simultaneous estimation of spectral emissivity and temperature of hot emissive materials
(Institute of Electrical and Electronics Engineers, 2021-07-12)
[EN] Estimating the temperature of hot emissive samples (e.g. liquid slag) in the context of harsh
industrial environments such as steelmaking plants is a crucial yet challenging task, which is typically
addressed by ...
Photovoltaic Modules Transient Response Analysis and Correction Under a Fast Characterization System
(Elsevier, 2021-06)
Failures of single photovoltaic (PV) modules lead to significant power losses in large PV systems. Individual and periodic monitoring of each PV module is a powerful way to detect these losses. Recently, a novel monitoring ...
Novel Pixelwise Co-Registered Hematoxylin-Eosin and Multiphoton Microscopy Image Dataset for Human Colon Lesion Diagnosis
(Elsevier, 2022-02-07)
Colorectal cancer presents one of the most elevated incidences of cancer worldwide. Colonoscopy relies on histopathology analysis of hematoxylin-eosin (H&E) images of the removed tissue. Novel techniques such as multi-photon ...
Constellation Loss: Improving the Efficiency of Deep Metric Learning Loss Functions for the Optimal Embedding of Histopathological Images
(Wolters Kluwer, 2020-11-26)
Background: Deep learning diagnostic algorithms are proving comparable results with human experts in a wide variety of tasks, and they still require a huge amount of well-annotated data for training, which is often non ...
Soft-Sensor for Class Prediction of the Percentage of Pentanes in Butane at a Debutanizer Column
(MDPI, 2021-06-09)
Refineries are complex industrial systems that transform crude oil into more valuable subproducts. Due to the advances in sensors, easily measurable variables are continuously monitored and several data-driven soft-sensors ...
Autofluorescence Image Reconstruction and Virtual Staining for In-Vivo Optical Biopsying
(IEEE-Institute of Electrical and Electronics Engineers, 2021-02-22)
Modern photonic technologies are emerging, allowing the acquisition of in-vivo endoscopic tissue imaging at a microscopic scale, with characteristics comparable to traditional histological slides, and with a label-free ...
Analysis on the Characterization of Multiphoton Microscopy Images for Malignant Neoplastic Colon Lesion Detection under Deep Learning Methods
(Wolters Kluwer, 2021-06-21)
Background: Colorectal cancer has a high incidence rate worldwide, with over 1.8 million new cases and 880,792 deaths in 2018. Fortunately, its early detection significantly increases the survival rate, reaching a cure ...
The environmental and social footprint of the university of the Basque Country UPV/EHU
(Elsevier, 2021-09-15)
This work has calculated the organisational environmental and social footprint of the University of the Basque Country (UPV/EHU) in 2016. First, input and output data flows of the UPV/EHU activity were collected. Next, the ...
Changes in Day/Night Activity in the 6-OHDA-Induced Experimental Model of Parkinson’s Disease: Exploring Prodromal Biomarkers
(Frontiers Media, 2020-10-14)
The search for experimental models mimicking an early stage of Parkinson's disease (PD) before motor manifestations is fundamental in order to explore early signs and get a better prognosis. Interestingly, our previous ...