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Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks

IEEE journal of selected topics in applied earth observations and remote sensing, 2024-01, Vol.17, p.1-9

2024

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Leading-Edge Erosion and Floating Particles: Stagnation Point Simulation in Particle-Laden Turbulent Flow via Lagrangian Particle Tracking

Machines (Basel), 2023-05, Vol.11 (5), p.566

2023

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Buckling Assessment in the Dynamics Mechanisms, Stewart Platform Case Study: In the Context of Loads and Joints, Deflection Positions Gradient

Computation, 2023-11, Vol.11 (11), p.227

2023

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Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.13893-13907

2024

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Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU

Fluids (Basel), 2022-11, Vol.7 (11), p.344

2022

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A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.1434-1445

2024

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Wind Velocity and Forced Heat Transfer Model for Photovoltaic Module

Fluids (Basel), 2024-01, Vol.9 (1), p.17

2024

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A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.10134-10146

2021

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Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks

Journal of big data, 2023-12, Vol.10 (1), p.96-23, Article 96

2023

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Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model

Thermo, 2022-03, Vol.2 (1), p.39-55

2022

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Turbulent Flow Prediction-Simulation: Strained Flow with Initial Isotropic Condition Using a GRU Model Trained by an Experimental Lagrangian Framework, with Emphasis on Hyperparameter Optimization

Fluids (Basel), 2024-04, Vol.9 (4), p.84

2024

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Prediction of Head Related Transfer Functions Using Machine Learning Approaches

Acoustics (Basel, Switzerland), 2023-03, Vol.5 (1), p.254-267

2023

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Developing a latent space to describe full-sphere head-related transfer functions

The Journal of the Acoustical Society of America, 2022-10, Vol.152 (4), p.A186-A186

2022

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Design and manufacture of synthetic pinnæ for studying head-related transfer functions

The Journal of the Acoustical Society of America, 2022-04, Vol.151 (4), p.A220-A221

2022

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Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series

IEEE geoscience and remote sensing letters, 2023, Vol.20, p.1-5

2023

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Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote Sensing

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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Iceland wind farm assessment case study and development: An empirical data from wind and wind turbine

Cleaner Energy Systems, 2023-04, Vol.4, p.100058, Article 100058

2023

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Optimizing Wind Energy Production: Leveraging Deep Learning Models Informed with On-Site Data and Assessing Scalability through HPC

Acta polytechnica Hungarica, 2024, Vol.21 (9), p.45-56

2024

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Cloud Deep Networks for Hyperspectral Image Analysis

IEEE transactions on geoscience and remote sensing, 2019-12, Vol.57 (12), p.9832-9848

2019

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On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods

IEEE journal of selected topics in applied earth observations and remote sensing, 2015-10, Vol.8 (10), p.4634-4646

2015

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Parallel Computation of Component Trees on Distributed Memory Machines

IEEE transactions on parallel and distributed systems, 2018-11, Vol.29 (11), p.2582-2598

2018

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Numerical Investigation on the Acceleration Vibration Response of Linear Actuator

OAlib (Online), 2022, Vol.9 (4), p.1-7

2022

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A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded Data

Solar, 2021-11, Vol.1 (1), p.41-51

2021

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Scientific workflows applied to the coupling of a continuum ice dynamic model

Geoscientific model development, 2019-07, Vol.12 (7)

2019

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Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds

Atmospheric measurement techniques, 2020-07, Vol.13 (7), p.3661-3682

2020

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Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks

Leading-Edge Erosion and Floating Particles: Stagnation Point Simulation in Particle-Laden Turbulent Flow via Lagrangian Particle Tracking

Buckling Assessment in the Dynamics Mechanisms, Stewart Platform Case Study: In the Context of Loads and Joints, Deflection Positions Gradient

Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data

Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU

A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification

Wind Velocity and Forced Heat Transfer Model for Photovoltaic Module

A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images

Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks

Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model

Turbulent Flow Prediction-Simulation: Strained Flow with Initial Isotropic Condition Using a GRU Model Trained by an Experimental Lagrangian Framework, with Emphasis on Hyperparameter Optimization

Prediction of Head Related Transfer Functions Using Machine Learning Approaches

Developing a latent space to describe full-sphere head-related transfer functions

Design and manufacture of synthetic pinnæ for studying head-related transfer functions

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series

Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote Sensing

Iceland wind farm assessment case study and development: An empirical data from wind and wind turbine

Optimizing Wind Energy Production: Leveraging Deep Learning Models Informed with On-Site Data and Assessing Scalability through HPC

Cloud Deep Networks for Hyperspectral Image Analysis

On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods

Parallel Computation of Component Trees on Distributed Memory Machines

Numerical Investigation on the Acceleration Vibration Response of Linear Actuator

A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded Data

Scientific workflows applied to the coupling of a continuum ice dynamic model

Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds

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