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ORCIDAlgirdas Maknickas
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2020 – today
- 2022
[c5]Aleksandra Petuchova, Algirdas Maknickas:
Comparison of Newtonian and Non-Newtonian Blood Flow in an Ascending Aortic Aneurysm. CinC 2022: 1-4- 2021
- [j11]Inga Garbariene
, Vadimas Dudoitis, Vidmantas Ulevicius, Kristina Plauskaite-Sukiene, Arturas Kilikevicius, Jonas Matijosius, Alfredas Rimkus, Kristina Kilikeviciene, Darius Vainorius, Algirdas Maknickas, Sergejus Borodinas, Steigvile Bycenkiene:
Application of Acoustic Agglomeration Technology to Improve the Removal of Submicron Particles from Vehicle Exhaust. Symmetry 13(7): 1200 (2021) - 2020
- [j10]Nijole Maknickiene, Algirdas Maknickas:
Evolino Recurrent Neural Network Ensemble for Speculation in Exchange Market in Time of Anomalies. Appl. Artif. Intell. 34(13): 957-980 (2020) - [j9]Oleg Bystrov, Arnas Kaceniauskas, Ruslan Pacevic, Vadimas Starikovicius, Algirdas Maknickas, Eugenius Stupak, Aleksandr Igumenov:
Performance Evaluation of Parallel Haemodynamic Computations on Heterogeneous Clouds. Comput. Informatics 39(4): 695-723 (2020)
2010 – 2019
- 2019
- [j8]Algirdas Maknickas, Nijole Maknickiene:
Support System for Trading in Exchange Market by Distributional Forecasting Model. Informatica 30(1): 73-90 (2019) - 2017
- [j7]Arnas Kaceniauskas, Ruslan Pacevic, Vadimas Starikovicius, Algirdas Maknickas, Migle Staskuniene, Giedrius Davidavicius:
Development of cloud services for patient-specific simulations of blood flows through aortic valves. Adv. Eng. Softw. 103: 57-64 (2017) - [j6]Vadimas Starikovicius, Arnas Kaceniauskas, Algirdas Maknickas, Eugenius Stupak, Ruslan Pacevic, Migle Staskuniene, Giedrius Davidavicius:
On Efficiency of Parallel Solvers for the blood Flow through Aortic valve. Math. Model. Anal. 22(5): 601-616 (2017) - [c4]Vykintas Maknickas, Algirdas Maknickas:
Atrial Fibrillation Classification Using QRS Complex Features and LSTM. CinC 2017 - 2015
- [c3]Algirdas Maknickas, Nijole Maknickiene:
Investment Support System using the EVOLINO Recurrent Neural Network Ensemble. IJCCI (NCTA) 2015: 138-145 - 2013
- [c2]Nijole Maknickiene, Algirdas Antano Maknickas:
Investigation of Prediction Capabilities using RNN Ensembles. IJCCI 2013: 391-395 - 2012
- [c1]Algirdas Antano Maknickas, Nijole Maknickiene:
Influence of Data Orthogonality - On the Accuracy and Stability of Financial Market Predictions. IJCCI 2012: 616-619 - [i2]Algirdas Antano Maknickas:
How to solve kSAT in polynomial time. CoRR abs/1203.6020 (2012) - 2011
- [j5]Arnas Kaceniauskas, Rimantas Kacianauskas, Algirdas Maknickas, Darius Markauskas:
Computation and visualization of discrete particle systems on gLite-based grid. Adv. Eng. Softw. 42(5): 237-246 (2011) - [j4]Darius Markauskas, Arnas Kaceniauskas, Algirdas Maknickas:
Dynamic Domain Decomposition Applied to Hopper discharge Simulation by discrete Element Method. Inf. Technol. Control. 40(4): 286-292 (2011) - 2010
- [j3]Rimantas Kacianauskas, Algirdas Maknickas, Arnas Kaceniauskas, Darius Markauskas, Robertas Balevicius:
Parallel discrete element simulation of poly-dispersed granular material. Adv. Eng. Softw. 41(1): 52-63 (2010) - [i1]Algirdas Antano Maknickas:
Finding of k in Fagin's R. Theorem 24. CoRR abs/1012.5804 (2010)
2000 – 2009
- 2006
- [j2]Robertas Balevicius, Algis Dziugys, Rimantas Kacianauskas, Algirdas Maknickas, K. Vislavicius:
Investigation of performance of programming approaches and languages used for numerical simulation of granular material by the discrete element method. Comput. Phys. Commun. 175(6): 404-415 (2006) - [j1]Algirdas Maknickas, Arnas Kaceniauskas, Rimantas Kacianauskas, Robertas Balevicius, Algis Dziugys:
Parallel DEM Software for Simulation of Granular Media. Informatica 17(2): 207-224 (2006)
Coauthor Index
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