Algirdas Maknickas

According to our database, Algirdas Maknickas authored at least 18 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Comparison of Newtonian and Non-Newtonian Blood Flow in an Ascending Aortic Aneurysm.

Aleksandra Petuchova, Algirdas Maknickas

Proceedings of the Computing in Cardiology, 2022

2021

Application of Acoustic Agglomeration Technology to Improve the Removal of Submicron Particles from Vehicle Exhaust.

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

Symmetry, 2021

2020

Performance Evaluation of Parallel Haemodynamic Computations on Heterogeneous Clouds.

Oleg Bystrov, Arnas Kaceniauskas, Ruslan Pacevic, Vadimas Starikovicius, Algirdas Maknickas, Eugenius Stupak, Aleksandr Igumenov

Comput. Informatics, 2020

Evolino Recurrent Neural Network Ensemble for Speculation in Exchange Market in Time of Anomalies.

Nijole Maknickiene, Algirdas Maknickas

Appl. Artif. Intell., 2020

2019

Support System for Trading in Exchange Market by Distributional Forecasting Model.

Algirdas Maknickas, Nijole Maknickiene

Informatica, 2019

2017

On Efficiency of Parallel Solvers for the blood Flow through Aortic valve.

Vadimas Starikovicius, Arnas Kaceniauskas, Algirdas Maknickas, Eugenius Stupak, Ruslan Pacevic, Migle Staskuniene, Giedrius Davidavicius

Math. Model. Anal., 2017

Development of cloud services for patient-specific simulations of blood flows through aortic valves.

Arnas Kaceniauskas, Ruslan Pacevic, Vadimas Starikovicius, Algirdas Maknickas, Migle Staskuniene, Giedrius Davidavicius

Adv. Eng. Softw., 2017

Atrial Fibrillation Classification Using QRS Complex Features and LSTM.

Vykintas Maknickas, Algirdas Maknickas

Proceedings of the Computing in Cardiology, 2017

2015

Investment Support System using the EVOLINO Recurrent Neural Network Ensemble.

Algirdas Maknickas, Nijole Maknickiene

Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

2013

Investigation of Prediction Capabilities using RNN Ensembles.

Nijole Maknickiene, Algirdas Antano Maknickas

Proceedings of the IJCCI 2013, 2013

2012

How to solve kSAT in polynomial time

Algirdas Antano Maknickas

CoRR, 2012

Influence of Data Orthogonality - On the Accuracy and Stability of Financial Market Predictions.

Algirdas Antano Maknickas, Nijole Maknickiene

Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

2011

Dynamic Domain Decomposition Applied to Hopper discharge Simulation by discrete Element Method.

Darius Markauskas, Arnas Kaceniauskas, Algirdas Maknickas

Inf. Technol. Control., 2011

Computation and visualization of discrete particle systems on gLite-based grid.

Arnas Kaceniauskas, Rimantas Kacianauskas, Algirdas Maknickas, Darius Markauskas

Adv. Eng. Softw., 2011

2010

Finding of k in Fagin's R. Theorem 24

Algirdas Antano Maknickas

CoRR, 2010

Parallel discrete element simulation of poly-dispersed granular material.

Rimantas Kacianauskas, Algirdas Maknickas, Arnas Kaceniauskas, Darius Markauskas, Robertas Balevicius

Adv. Eng. Softw., 2010

2006

Parallel DEM Software for Simulation of Granular Media.

Algirdas Maknickas, Arnas Kaceniauskas, Rimantas Kacianauskas, Robertas Balevicius, Algis Dziugys

Informatica, 2006

Investigation of performance of programming approaches and languages used for numerical simulation of granular material by the discrete element method.

Robertas Balevicius, Algis Dziugys, Rimantas Kacianauskas, Algirdas Maknickas, K. Vislavicius

Comput. Phys. Commun., 2006