Dário Passos

Integrated Member

Auxiliary Researcher

University of Algarve, Physics Department, Office 3.9

.
ORCID ResearchGate ResearcherID Scopus GScholar Authenticus
Research Group(s):
Sensing and Biology
Website
GitHub https://github.com/dario-passos/DeepLearning_for_VIS-NIR_Spectra

Bio

Dário Passos graduated in Tech. Eng. Physics (2003) by the University of Algarve where he stayed as a research assistant in Non Linear Optics until 2005. He got his PhD in Physics from the IST, Technical University of Lisbon in 2010 in the area of Astrophysics/Solar Physics. Between 2011 and 2017 Dário worked as a post-doc researcher at CENTRA-IST in Solar Physics and Space Weather Modelling as part of an international collaboration between the University of Évora, IST-Lisbon and the University of Montreal (Canada). During this period he was also an invited Astrophysics professor at IST for 2 years. 

Late 2017 Dário joined CEOT as a post-doc in the area if infrared-spectroscopy, data analysis and complex systems modelling. His current interests include data science (statistics and machine learning techniques) applied to light scattering and absorption spectra of turbid media and prediction models with application to non-destructive measurement of macroscopic biological tissue properties. His current interests include deep learning neural networks architectures applied to the problem of VIS NIR chemometrics and Reinforcement Learning algorithms applied to combinatorial optimization problems.

Publicações

BOOK_CHAPTER (2) CONFERENCE_PROCEEDINGS (4) JOURNAL_ARTICLE (28) MISCELLANEOUS (5)

Total (39)

Framework for the Integration of Transmission Optimization Components into LoRaWAN Stack

Lecture Notes in Networks and Systems | 2022

B Mendes

du Plessis

Framework for the Integration of Transmission Optimization Components into LoRaWAN Stack

Lecture Notes in Networks and Systems | 2022

B Mendes

du Plessis

Coverage Characterization of LoRaWAN Sensor Networks for Citrus Orchard Monitoring

2022 International Young Engineers Forum (YEF-ECE) | 2022

B Mendes

A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks

Chemometrics and Intelligent Laboratory Systems | 2022

P Mishra

A deep learning approach to improving spectral analysis of fruit quality under interseason variation

Food Control | 2022

J Yang

X Luo

X Zhang

L Xie

X Rao

H Xu

KC Ting

T Lin

Y Ying

Multi-output 1-dimensional convolutional neural networks for simultaneous prediction of different traits of fruit based on near-infrared spectroscopy

Postharvest Biology and Technology | 2022

P Mishra

A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit

Chemometrics and Intelligent Laboratory Systems | 2021

P Mishra

Deep multiblock predictive modelling using parallel input convolutional neural networks

Analytica Chimica Acta | 2021

Puneet Mishra

Nondestructive simultaneous prediction of internal browning disorder and quality attributes in ‘Rocha’ pear (Pyrus communis L.) using VIS-NIR spectroscopy

Postharvest Biology and Technology | 2021

S Cruz

A Brázio

D Antunes

Deep calibration transfer: Transferring deep learning models between infrared spectroscopy instruments

INFRARED PHYSICS & TECHNOLOGY | 2021

P Mishra

Deep chemometrics: Validation and transfer of a global deep near-infrared fruit model to use it on a new portable instrument

JOURNAL OF CHEMOMETRICS | 2021

P Mishra

Nondestructive simultaneous prediction of internal browning disorder and quality attributes in Rocha pear (Pyrus communis L.) using VIS-NIR spectroscopy

POSTHARVEST BIOLOGY AND TECHNOLOGY | 2021

S Cruz

A Brázio

D Antunes

An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling

Chemometrics and Intelligent Laboratory Systems | 2021

P Mishra

Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios

Chemometrics and Intelligent Laboratory Systems | 2021

P Mishra

Non-Destructive Soluble Solids Content Determination for Rocha Pear Based on VIS-SWNIR Spectroscopy under Real World Sorting Facility Conditions

SENSORS | 2019

D Rodrigues

MD Antunes

Meridional circulation dynamics in a cyclic convective dynamo

Astronomy and Astrophysics | 2017

M Miesch

G Guerrero

P Charbonneau

Near-Earth heliospheric magnetic field intensity since 1750: 1. Sunspot and geomagnetic reconstructions

JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS | 2016

MJ Owens

E Cliver

KG McCracken

J Beer

L Barnard

M Lockwood

A Rouillard

P Riley

I Usoskin

YM Wang

Near-Earth heliospheric magnetic field intensity since 1750: 2. Cosmogenic radionuclide reconstructions

JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS | 2016

MJ Owens

E Cliver

KG McCracken

J Beer

L Barnard

M Lockwood

A Rouillard

P Riley

I Usoskin

YM Wang

New Insights about Meridional Circulation Dynamics from 3D MHD Global Simulations of Solar Convection and Dynamo Action

GROUND-BASED SOLAR OBSERVATIONS IN THE SPACE INSTRUMENTATION ERA | 2016

P Charbonneau

MS Miesch

MERIDIONAL CIRCULATION DYNAMICS FROM 3D MAGNETOHYDRODYNAMIC GLOBAL SIMULATIONS OF SOLAR CONVECTION

ASTROPHYSICAL JOURNAL LETTERS | 2015

P Charbonneau

M Miesch

Oscillator Models of the Solar Cycle

Space Sciences Series of ISSI - The Solar Activity Cycle | 2015

I Lopes

M Nagy

K Petrovay

Oscillator Models of the Solar Cycle

Space Science Reviews - Space Sci Rev | 2014

I Lopes

M Nagy

K Petrovay

Oscillator Models of the Solar Cycle Towards the Development of Inversion Methods

SPACE SCIENCE REVIEWS | 2014

I Lopes

M Nagy

K Petrovay

A solar dynamo model driven by mean-field alpha and Babcock-Leighton sources: fluctuations, grand-minima-maxima, and hemispheric asymmetry in sunspot cycles

ASTRONOMY & ASTROPHYSICS | 2014

D Nandy

S Hazra

I Lopes

A STOCHASTICALLY FORCED TIME DELAY SOLAR DYNAMO MODEL: SELF-CONSISTENT RECOVERY FROM A MAUNDER-LIKE GRAND MINIMUM NECESSITATES A MEAN-FIELD ALPHA EFFECT

ASTROPHYSICAL JOURNAL | 2014

S Hazra

D Nandy

Characteristics of magnetic solar-like cycles in a 3D MHD simulation of solar convection

ASTRONOMY & ASTROPHYSICS | 2014

P Charbonneau

Hemispheric Coupling: Comparing Dynamo Simulations and Observations

SPACE SCIENCE REVIEWS | 2014

AA Norton

P Charbonneau

Hemispheric Coupling: Comparing Dynamo Simulations and Observations

Space Science Reviews | 2014

AA Norton

P Charbonneau

EVOLUTION OF SOLAR PARAMETERS SINCE 1750 BASED ON A TRUNCATED DYNAMO MODEL

ASTROPHYSICAL JOURNAL | 2012

Effects of cyclic fluctuations in meridional circulation using a low-order dynamo model

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2012

I Lopes

An Exploration of Non-kinematic Effects in Flux Transport Dynamos

SOLAR PHYSICS | 2012

P Charbonneau

P Beaudoin

Grand minima under the light of a low order dynamo model

JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS | 2011

I Lopes

Solar Variability Induced in a Dynamo Code by Realistic Meridional Circulation Variations

SOLAR PHYSICS | 2009

I Lopes

Evidence for a long-term variation of the dynamo action responsible for the solar magnetic cycle

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2009

I Lopes

Phase space analysis: The equilibrium of the solar magnetic cycle

SOLAR PHYSICS | 2008

I Lopes

A LOW-ORDER SOLAR DYNAMO MODEL: INFERRED MERIDIONAL CIRCULATION VARIATIONS SINCE 1750

ASTROPHYSICAL JOURNAL | 2008

I Lopes

On the luminosity evolution of the Sun during the last 7 millennia

ADVANCES IN SPACE RESEARCH | 2007

S Brandao

I Lopes

A first estimation of the last 7000 years of solar evolution

UNSOLVED PROBLEMS IN STELLAR PHYSICS: A CONFERENCE IN HONOUR OF DOUGLAS GOUGH | 2007

I Lopes

RJ Stancliffe

G Houdek

RG Martin

CA Tout

Tissue phantom for optical diagnostics based on a suspension of microspheres with a fractal size distribution

JOURNAL OF BIOMEDICAL OPTICS | 2005

JC Hebden

PN Pinto