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SDRIFE und bullöse Reaktion nach Behandlung mit Enfortumab Vedotin plus Pembrolizumab: Fallserie

Journal der Deutschen Dermatologischen Gesellschaft, 2024-08, Vol.22 (8), p.1161-1165

2024

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A semi-empirical approach to calibrate simulation models for semiconductor devices

Scientific reports, 2023-06, Vol.13 (1), p.10436-10436, Article 10436

2023

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Refraktärer IgA-Pemphigus erfolgreich mit Adalimumab als Monotherapie behandelt

Journal der Deutschen Dermatologischen Gesellschaft, 2023-12, Vol.21 (12), p.1560-1562

2023

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Deep learning based solar radiation micro forecast by fusion of infrared cloud images and radiation data

Applied energy, 2021-07, Vol.294, p.117014, Article 117014

2021

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Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems

IEEE access, 2023, Vol.11, p.59652-59660

2023

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Distribution feeder-level day-ahead peak load forecasting methods and comparative study

IET generation, transmission & distribution, 2018-07, Vol.12 (13), p.3270-3278

2018

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Girasol, a sky imaging and global solar irradiance dataset

Data in brief, 2021-04, Vol.35, p.106914-106914, Article 106914

2021

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A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting

IEEE access, 2020, Vol.8, p.88308-88321

2020

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SDRIFE and bullous reaction after treatment with enfortumab vedotin plus pembrolizumab: Case series

Journal der Deutschen Dermatologischen Gesellschaft, 2024-08, Vol.22 (8), p.1161-1165

2024

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Deep learning algorithms for very short term solar irradiance forecasting: A survey

Renewable & sustainable energy reviews, 2023-08, Vol.182, p.113362, Article 113362

2023

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Digital Signal Processing with Kernel Methods

1st, 2018

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Unsupervised Segmentation of Fire and Smoke From Infra-Red Videos

IEEE access, 2019, Vol.7, p.182381-182394

2019

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Explicit basis function kernel methods for cloud segmentation in infrared sky images

Energy reports, 2021-11, Vol.7, p.442-450

2021

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Energy usage and human behavior modeling for residential bottom-up energy simulation

Energy and buildings, 2023-01, Vol.279, p.112653, Article 112653

2023

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Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks

Neurocomputing (Amsterdam), 2019-11, Vol.367, p.188-197

2019

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Design and Performance of a Low-Energy Gamma-Ray Trigger System for HERD

Instruments (Basel), 2024-06, Vol.8 (2), p.31

2024

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Multi-layer wind velocity field visualization in infrared images of clouds for solar irradiance forecasting

Applied energy, 2021-04, Vol.288, p.116656, Article 116656

2021

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Comparative analysis of methods for cloud segmentation in ground-based infrared images

Renewable energy, 2021-09, Vol.175, p.1025-1040, Article 1025

2021

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Processing of global solar irradiance and ground-based infrared sky images for solar nowcasting and intra-hour forecasting applications

Solar energy, 2023-11, Vol.264, p.111968, Article 111968

2023

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A new approach to study energy-dependent arrival delays on photons from astrophysical sources

Astroparticle physics, 2009-04, Vol.31 (3), p.226-232

2009

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An unsupervised cyberattack detection scheme for AC microgrids using Gaussian process regression and one‐class support vector machine anomaly detection

IET renewable power generation, 2023-06, Vol.17 (8), p.2113-2123

2023

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Deep learning for intra-hour solar forecasting with fusion of features extracted from infrared sky images

Information fusion, 2023-07, Vol.95, p.42-61

2023

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Adaptive Sparse Gaussian Process

IEEE transaction on neural networks and learning systems, 2023-07, Vol.PP, p.1-0

2023

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Detection of clouds in multiple wind velocity fields using ground-based infrared sky images

Knowledge-based systems, 2023-08, Vol.274, p.110628, Article 110628

2023

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Advanced detection of HVAC faults using unsupervised SVM novelty detection and Gaussian process models

Energy and buildings, 2017-08, Vol.149 (C), p.216-224

2017

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SDRIFE und bullöse Reaktion nach Behandlung mit Enfortumab Vedotin plus Pembrolizumab: Fallserie

A semi-empirical approach to calibrate simulation models for semiconductor devices

Refraktärer IgA-Pemphigus erfolgreich mit Adalimumab als Monotherapie behandelt

Deep learning based solar radiation micro forecast by fusion of infrared cloud images and radiation data

Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems

Distribution feeder-level day-ahead peak load forecasting methods and comparative study

Girasol, a sky imaging and global solar irradiance dataset

A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting

SDRIFE and bullous reaction after treatment with enfortumab vedotin plus pembrolizumab: Case series

Deep learning algorithms for very short term solar irradiance forecasting: A survey

Digital Signal Processing with Kernel Methods

Unsupervised Segmentation of Fire and Smoke From Infra-Red Videos

Explicit basis function kernel methods for cloud segmentation in infrared sky images

Energy usage and human behavior modeling for residential bottom-up energy simulation

Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks

Design and Performance of a Low-Energy Gamma-Ray Trigger System for HERD

Multi-layer wind velocity field visualization in infrared images of clouds for solar irradiance forecasting

Comparative analysis of methods for cloud segmentation in ground-based infrared images

Processing of global solar irradiance and ground-based infrared sky images for solar nowcasting and intra-hour forecasting applications

A new approach to study energy-dependent arrival delays on photons from astrophysical sources

An unsupervised cyberattack detection scheme for AC microgrids using Gaussian process regression and one‐class support vector machine anomaly detection

Deep learning for intra-hour solar forecasting with fusion of features extracted from infrared sky images

Adaptive Sparse Gaussian Process

Detection of clouds in multiple wind velocity fields using ground-based infrared sky images

Advanced detection of HVAC faults using unsupervised SVM novelty detection and Gaussian process models

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