Sensor Errors Prediction Using Neural Networks. - Anatoly Sachenko; Volodymyr Kochan; Volodymyr Turchenko; Vladimir A. Golovko; Yury Savitsky; A. Dunets; Theodore Laopoulos (IJCNN (4), 2000)

Estimation of Computational Complexity of Sensor Accuracy Improvement Algorithm Based on Neural Networks. - Volodymyr Turchenko; Volodymyr Kochan; Anatoly Sachenko (ICANN, 2001)

Infrared Sensor Data Correction for Local Area Map Construction by a Mobile Robot. - Vasyl Koval; Volodymyr Turchenko; Anatoly Sachenko; José Antonio Becerra; Richard J. Duro; Vladimir A. Golovko (IEA/AIE, 2003)

Smart License plate Recognition System based on Image Processing using Neural Network. - Vasyl Koval; Volodymyr Turchenko; Volodymyr Kochan; Anatoly Sachenko; George Markowsky (Int. J. Comput., 2003)

Database design for CAD system optimising distributed sensor networks for perimeter security. - Iryna V. Turchenko; Volodymyr Turchenko; Volodymyr Kochan; Pavlo Bykovyy; Anatoly Sachenko; George Markowsky (IASTED Conf. on Software Engineering and Applications, 2004)

Approach to recognition of license plate numbers using neural networks. - Ihor Paliy; Volodymyr Turchenko; Vasyl Koval; Anatoliy Sachenko; George Markowsky (IJCNN, 2004)

Computational Grid vs. Parallel Computer for Coarse-Grain Parallelization of Neural Networks Training. - Volodymyr Turchenko (OTM Workshops, 2005)

Efficiency Analysis of Parallel Routine using Processor Time Visualization. - Volodymyr Turchenko; Viktor Demchuk (Int. J. Comput., 2005)

Efficiency estimation of Parallel Algorithm of Enhanced Historical Data Integration on Computational Grid. - Volodymyr Turchenko; Chefi Triki; Lucio Grandinetti; Anatoly Sachenko (Int. J. Comput., 2005)

Simulation Modeling of Interplanetary shocks arrival Time Prediction on Historical Data Set. - Volodymyr Turchenko; Viktor Demchuk; Anatoly Sachenko (Int. J. Comput., 2006)

Security Tools for GRID- Systems. - A. Palagin; N. Alishov; George Markowsky; Anatoly Sachenko; Volodymyr Turchenko (Security and Management, 2007)

The Ternopil Educational Communication Center: a NATO Project to Integrate Regional Information Technology Resources. - George Markowsky; Anatoly Sachenko; Serhiy Voznyak; Viktor Spilchuk; Roman Romanyak; Volodymyr Turchenko; Ihor Romanets (Int. J. Comput., 2008)

Efficiency Analysis of Parallel Batch Pattern NN Training Algorithm on General-Purpose Supercomputer. - Volodymyr Turchenko; Lucio Grandinetti (IWANN (2), 2009)

Scalability of Enhanced Parallel Batch Pattern BP Training Algorithm on General-Purpose Supercomputers. - Volodymyr Turchenko; Lucio Grandinetti (DCAI, 2010)

Micro Nucleus Detection in Human Lymphocytes Using Convolutional Neural Network. - Ihor Paliy; Francesco Lamonaca; Volodymyr Turchenko; Domenico Grimaldi; Anatoly Sachenko (ICANN (1), 2010)

Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm. - Volodymyr Turchenko; Lucio Grandinetti (ICANN (3), 2010)

Strategy of resource brokering for efficient parallelization of MLP training. - Volodymyr Turchenko; Lucio Grandinetti (HPCS, 2010)

Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI. - Volodymyr Turchenko; Lucio Grandinetti; George Bosilca; Jack J. Dongarra (ICCS, 2010)

Short-term stock price prediction using MLP in moving simulation mode. - Volodymyr Turchenko; Patrizia Beraldi; Francesco De Simone; Lucio Grandinetti (IDAACS (2), 2011)

Cluster-based implementation of resource brokering strategy for parallel training of neural networks. - Volodymyr Turchenko; Taras Puhol; Anatoly Sachenko; Lucio Grandinetti (IDAACS (1), 2011)

Parallel Batch Pattern Training of Recirculation Neural Network. - Volodymyr Turchenko; Vladimir A. Golovko; Anatoly Sachenko (ICINCO (1), 2012)

Parallel batch pattern training of neural networks on computational clusters. - Volodymyr Turchenko; Lucio Grandinetti; Anatoly Sachenko (HPCS, 2012)

Efficient parallelization of batch pattern training algorithm on many-core and cluster architectures. - Volodymyr Turchenko; George Bosilca; Aurélien Bouteiller; Jack J. Dongarra (IDAACS, 2013)

Applications of neural-based spot market prediction for cloud computing. - Richard M. Wallace; Volodymyr Turchenko; Mehdi Sheikhalishahi; Iryna V. Turchenko; Vladyslav Shults; José Luis Vázquez-Poletti; Lucio Grandinetti (IDAACS, 2013)

Spot Price Prediction for Cloud Computingusing Neural Networks. - Volodymyr Turchenko; Vladyslav Shults; Iryna Turchenko; Richard M. Wallace; Mehdi Sheikhalishahi; José Luis Vázquez-Poletti; Lucio Grandinetti (Int. J. Comput., 2013)

Parallel Batch Pattern Training Algorithm for MLP with Two Hidden Layers on Many-Core System. - Volodymyr Turchenko (DCAI, 2014)

Parallel batch pattern training algorithm for deep neural network. - Volodymyr Turchenko; Vladimir A. Golovko (HPCS, 2014)

A new technique for restricted Boltzmann machine learning. - Vladimir A. Golovko; Aliaksandr Kroshchanka; Volodymyr Turchenko; Stanislaw Jankowski; Douglas Treadwell (IDAACS, 2015)

Creation of a deep convolutional auto-encoder in Caffe. - Volodymyr Turchenko; Artur Luczak (IDAACS, 2017)

Artificial Intelligence for Sport Activitity Recognition. - Sergei V. Bezobrazov; Andrei Sheleh; Sergei Kislyuk; Vladimir A. Golovko; Anatoliy Sachenko; Myroslav Komar; Vitaliy Dorosh; Volodymyr Turchenko (IDAACS, 2019)

A Deep Convolutional Auto-encoder with Pooling - Unpooling Layers in Caffe. - Volodymyr Turchenko; Eric Chalmers; Artur Luczak (Int. J. Comput., 2019)