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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 ...
Designing High Performance Factory Automation Applications on Top of DDS
(INTECH Open Access Publisher, 2013-04-22)
DDS is a recent specification aimed at providing high-performance publisher/subscriber middleware solutions. Despite being a very powerful flexible technology, it may prove complex to use, especially for the inexperienced. ...
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 ...
Agent-based middleware architecture for reconfigurable manufacturing systems
(Springer, 2017-09)
Modern manufacturing systems are expected to be flexible and efficient in order to cope with challenging market demands. Thus, they must be flexible enough as to meet changing requirements such as changes in production, ...
Virtual Sensors For Advanced Controllers In Rehabilitation Robotics
(MDPI, 2018-03-05)
In order to properly control rehabilitation robotic devices, the measurement of interaction force and motion between patient and robot is an essential part. Usually, however, this is a complex task that requires the use ...
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 ...