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DeepLoc: prediction of protein subcellular localization using deep learning

Bioinformatics (Oxford, England), 2017-11, Vol.33 (21), p.3387-3395

2017

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An introduction to deep learning on biological sequence data: examples and solutions

Bioinformatics (Oxford, England), 2017-11, Vol.33 (22), p.3685-3690

2017

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Predictive Densities for Day-Ahead Electricity Prices Using Time-Adaptive Quantile Regression

Energies (Basel), 2014-09, Vol.7 (9), p.5523-5547

2014

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Exponential Smoothing Approaches for Prediction in Real-Time Electricity Markets

Energies (Basel), 2014-06, Vol.7 (6), p.3710-3732

2014

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From probabilistic forecasts to statistical scenarios of short-term wind power production

Wind energy (Chichester, England), 2009-01, Vol.12 (1), p.51-62

2009

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Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor

Energies (Basel), 2022-11, Vol.15 (21), p.7828

2022

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Method for Scalable and Automatised Thermal Building Performance Documentation and Screening

Energies (Basel), 2020-08, Vol.13 (15), p.3866

2020

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Onlineforecast: An R Package for Adaptive and Recursive Forecasting

The R journal, 2023-03, Vol.15 (1), p.173-194

2023

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Hygrothermal conditions in Cross Laminated Timber (CLT) dwellings

E3S web of conferences, 2020-01, Vol.172, p.10009

2020

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A Review of the Digital Twin Technology in the AEC-FM Industry

Advances in Civil Engineering, 2022-03, Vol.2022, p.1-17

2022

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A review of the Digital Twin technology for fault detection in buildings

Frontiers in built environment, 2022-11, Vol.8

2022

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Short-term Prediction-An Overview

Wind energy (Chichester, England), 2003-07, Vol.6 (3), p.273-280

2003

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Consequences of field N2O emissions for the environmental sustainability of plant-based biofuels produced within an organic farming system

Global change biology. Bioenergy, 2012-07, Vol.4 (4), p.435-452

2012

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NetSolP: predicting protein solubility in Escherichia coli using language models

Bioinformatics, 2022-01, Vol.38 (4), p.941-946

2022

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Spatio-temporal analysis and modeling of short-term wind power forecast errors

Wind energy (Chichester, England), 2011-01, Vol.14 (1), p.43-60

2011

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Skill forecasting from different wind power ensemble prediction methods

Journal of Physics: Conference Series, 2007-07, Vol.75 (1), p.012046

2007

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Implementation of a gene expression index calculation method based on the PDNN model

Bioinformatics, 2005-03, Vol.21 (5), p.687-688

2005

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DeepLoc: prediction of protein subcellular localization using deep learning

Bioinformatics (Oxford, England), 2017-12, Vol.33 (24), p.4049-4049

2017

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Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts

Wind energy (Chichester, England), 2006-01, Vol.9 (1-2), p.95-108

2006

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Non-parametric probabilistic forecasts of wind power: required properties and evaluation

Wind energy (Chichester, England), 2007-11, Vol.10 (6), p.497-516

2007

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Comparison of phosphorus recovery from incineration and gasification sewage sludge ash

Water science and technology, 2017-03, Vol.75 (5-6), p.1251

2017

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Assessing the accuracy of prediction algorithms for classification: an overview

Bioinformatics, 2000-05, Vol.16 (5), p.412-424

2000

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Optimal combination of wind power forecasts

Wind energy (Chichester, England), 2007-09, Vol.10 (5), p.471-482

2007

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Pre-drilling assessments of average porosity and permeability in the geothermal reservoirs of the Danish area

Geothermal energy (Heidelberg), 2016-12, Vol.4 (1), p.1-27, Article 6

2016

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Feasibility Study on HYSOL CSP

Procedia computer science, 2016, Vol.83, p.1157-1163

2016

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DeepLoc: prediction of protein subcellular localization using deep learning

An introduction to deep learning on biological sequence data: examples and solutions

Predictive Densities for Day-Ahead Electricity Prices Using Time-Adaptive Quantile Regression

Exponential Smoothing Approaches for Prediction in Real-Time Electricity Markets

From probabilistic forecasts to statistical scenarios of short-term wind power production

Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor

Method for Scalable and Automatised Thermal Building Performance Documentation and Screening

Onlineforecast: An R Package for Adaptive and Recursive Forecasting

Hygrothermal conditions in Cross Laminated Timber (CLT) dwellings

A Review of the Digital Twin Technology in the AEC-FM Industry

A review of the Digital Twin technology for fault detection in buildings

Short-term Prediction-An Overview

Consequences of field N2O emissions for the environmental sustainability of plant-based biofuels produced within an organic farming system

NetSolP: predicting protein solubility in Escherichia coli using language models

Spatio-temporal analysis and modeling of short-term wind power forecast errors

Skill forecasting from different wind power ensemble prediction methods

Implementation of a gene expression index calculation method based on the PDNN model

DeepLoc: prediction of protein subcellular localization using deep learning

Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts

Non-parametric probabilistic forecasts of wind power: required properties and evaluation

Comparison of phosphorus recovery from incineration and gasification sewage sludge ash

Assessing the accuracy of prediction algorithms for classification: an overview

Optimal combination of wind power forecasts

Pre-drilling assessments of average porosity and permeability in the geothermal reservoirs of the Danish area

Feasibility Study on HYSOL CSP

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