Jan Skvaril
Title
Cited by
Cited by
Year
The influence of different parameters on biomass gasification in circulating fluidized bed gasifiers
G Mirmoshtaghi, J Skvaril, PE Campana, H Li, E Thorin, E Dahlquist
Energy Conversion and Management 126, 110-123, 2016
312016
Applications of near-infrared spectroscopy (NIRS) in biomass energy conversion processes: A review
J Skvaril, K Kyprianidis, E Dahlquist
Applied Spectroscopy Reviews 52 (8), 675-728, 2017
292017
Forest biomass for bioenergy production–comparison of different forest species
A Avelin, J Skvaril, R Aulin, M Odlare, E Dahlquist
Energy Procedia 61, 1820-1823, 2014
112014
Fast Determination of Fuel Properties in Solid Biofuel Mixtures by Near Infrared Spectroscopy
J Skvaril, K Kyprianidis, A Avelin, M Odlare, E Dahlquist
Energy Procedia 105, 1309-1317, 2017
92017
Utilization of Near Infrared (NIR) Spectrometry for Detection of Glass in the Waste-based Fuel
J Skvaril, K Kyprianidis, A Avelin, M Odlare, E Dahlquist
Energy Procedia 75, 734-741, 2015
62015
Developments in Near-Infrared Spectroscopy
K Kyprianidis, J Skvaril
IN TECH, 2017
52017
Developments in Combustion Technology
K Kyprianidis, J Skvaril
INTECH, 2016
52016
Near-infrared spectral measurements and multivariate analysis for predicting glass contamination of refuse-derived fuel
O Winn, KT Sivaram, I Aslanidou, J Skvaril, K Kyprianidis
Energy procedia 142, 943-949, 2017
42017
The Experimental Study of Full-scale Biomass-fired Bubbling Fluidized Bed Boiler
J Skvaril, A Avelin, J Sandberg, E Dahlquist
Energy Procedia 61, 643-647, 2014
42014
Energy recovery from contaminated biomass
J Moskalík, J Škvařil, O Štelcl, M Baláš, M Lisý
Acta Polytechnica 52 (3), 2012
42012
A Machine Learning Approach for Biomass Characterization
MU Ahmed, P Andersson, T Andersson, ET Aparicio, H Baaz, S Barua, ...
Energy Procedia 158, 1279-1287, 2019
32019
Multivariate analysis models for wood properties combined with Open Modelica model for process performance monitoring
J Skvaril, K Kyprianidis, A Avelin, M Odlare, E Dahlquist
MATHMOD 2015-8th Vienna Conference on Mathematical Modelling, 18-20 February …, 2015
32015
Near-Infrared Spectroscopy and Extractive Probe Sampling for Biomass and Combustion Characterization
J Skvaril
Mälardalen University, 2017
22017
Obnovitelné zdroje v České republice
J Škvařil
Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2008
22008
AI Overview: Methods and Structures
E Dahlquist, M Rahman, J Skvaril, K Kyprianidis
AI and Learning Systems-Industrial Applications and Future Directions, 2021
2021
Applications of hyperspectral imaging and machine learning methods for real-time classification of waste stream components
M Sevcik, J Skvaril, E Tomas Aparicio
19th International Conference on Near Infrared Spectroscopy-NIR 2019, Gold …, 2019
2019
Application of single-point and hyperspectral imaging near-infrared sensors and machine learning algorithms for real-time biomass characterization
J Skvaril, S Khalesimoghadam, J Soibam, K Kyprianidis, M Odlare
19th International Conference on Near Infrared Spectroscopy-NIR 2019, Gold …, 2019
2019
Investigation of Most Effective Parameters on Biomass Gasification in Circulating Fluidized bed Gasifiers
G Mirmoshtaghi, J Skvaril, H Li, E Thorin, E Dahlquist
Forest and Plant Bioproducts Division 2015-Core Programming Area at the 2015 …, 2015
2015
Fast Determination of Lignin Content in Feedstock Material for Pulping Process Monitoring and Optimization
J Skvaril, K Kyprianidis, A Avelin, M Odlare, E Dahlquist
8th International Conference on Advanced Vibrational Spectroscopy, 12 July …, 2015
2015
Application of Near Infrared Spectroscopy for Rapid Characterization of Feedstock Material in Pulp and Paper Industry
J Skvaril, K Kyprianidis, A Avelin, M Odlare, E Dahlquist
17th International Conference on Near Infrared Spectroscopy-NIR 2015, 2015
2015
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