| Estimation and Prediction of the Polymers’ Physical Characteristics Using the Machine Learning Models IP Malashin, VS Tynchenko, VA Nelyub, AS Borodulin, AP Gantimurov Polymers 16 (1), 115, 2023 | 28 | 2023 |
| Flood susceptibility assessment in urban areas via deep neural network approach T Panfilova, V Kukartsev, V Tynchenko, Y Tynchenko, O Kukartseva, ... Sustainability 16 (17), 7489, 2024 | 10 | 2024 |
| Landslide assessment classification using deep neural networks based on climate and geospatial data Y Tynchenko, V Kukartsev, V Tynchenko, O Kukartseva, T Panfilova, ... Sustainability 16 (16), 7063, 2024 | 8 | 2024 |
| ML-based Forecasting of Temporal Dynamics in Luminescence Spectra of Ag2S Colloidal Quantum Dots IP Malashin, DS Daibagya, VS Tynchenko, VA Nelyub, AS Borodulin, ... IEEE Access, 2024 | 4 | 2024 |
| A Multi-Objective Optimization of Neural Networks for Predicting the Physical Properties of Textile Polymer Composite Materials I Malashin, V Tynchenko, A Gantimurov, V Nelyub, A Borodulin Polymers 16 (12), 1752, 2024 | 4 | 2024 |
| Predicting Tilapia Productivity in Geothermal Ponds: A Genetic Algorithm Approach for Sustainable Aquaculture Practices V Tynchenko, O Kukartseva, Y Tynchenko, V Kukartsev, T Panfilova, ... Sustainability 16 (21), 9276, 2024 | 3 | 2024 |
| Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review I Malashin, V Tynchenko, A Gantimurov, V Nelyub, A Borodulin Polymers 16 (18), 2607, 2024 | 3 | 2024 |
| Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports I Malashin, I Masich, V Tynchenko, A Gantimurov, V Nelyub, A Borodulin Machine Learning and Knowledge Extraction 6 (2), 1361-1377, 2024 | 3 | 2024 |
| Machine Learning in 3D and 4D Printing of Polymer Composites: A Review I Malashin, I Masich, V Tynchenko, A Gantimurov, V Nelyub, A Borodulin, ... Polymers 16 (22), 3125, 2024 | 2 | 2024 |
| Predicting defects in SLM-produced parts based on melt pools clustering analysis I Malashin, D Martysyuk, V Tynchenko, D Evsyukov, V Nelyub, ... The International Journal of Advanced Manufacturing Technology 134 (3), 1169 …, 2024 | 2 | 2024 |
| Assessment of anisotropic acoustic properties in additively manufactured materials: experimental, computational, and deep learning approaches I Malashin, V Tynchenko, D Martysyuk, N Shchipakov, N Krysko, ... Sensors 24 (14), 4488, 2024 | 2 | 2024 |
| Deep Learning Approach for Pitting Corrosion Detection in Gas Pipelines I Malashin, V Tynchenko, V Nelyub, A Borodulin, A Gantimurov, ... Sensors 24 (11), 3563, 2024 | 2 | 2024 |
| Mechanical Testing of Selective-Laser-Sintered Polyamide PA2200 Details: Analysis of Tensile Properties via Finite Element Method and Machine Learning Approaches I Malashin, D Martysyuk, V Tynchenko, V Nelyub, A Borodulin, ... Polymers 16 (6), 737, 2024 | 2 | 2024 |
| Recurrent Neural Network (RNN)-Based Approach to Predict Mean Flow Stress in Industrial Rolling. AG Zinyagin, AV Muntin, VS Tynchenko, PI Zhikharev, NR Borisenko, ... Metals (2075-4701) 14 (12), 2024 | 1 | 2024 |
| Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review I Malashin, D Martysyuk, V Tynchenko, A Gantimurov, A Semikolenov, ... Polymers 16 (23), 3368, 2024 | 1 | 2024 |
| Predicting sustainable crop yields: Deep learning and explainable AI tools I Malashin, V Tynchenko, A Gantimurov, V Nelyub, A Borodulin, ... Sustainability 16 (21), 9437, 2024 | 1 | 2024 |
| Modeling Temperature-Dependent Photoluminescence Dynamics of Colloidal CdS Quantum Dots Using Long Short-Term Memory (LSTM) Networks I Malashin, D Daibagya, V Tynchenko, V Nelyub, A Borodulin, ... Materials 17 (20), 5056, 2024 | 1 | 2024 |
| Soil Properties Classification in Sustainable Agriculture Using Genetic Algorithm-Optimized and Deep Neural Networks. Y Tynchenko, V Tynchenko, V Kukartsev, T Panfilova, O Kukartseva, ... Sustainability (2071-1050) 16 (19), 2024 | 1 | 2024 |
| Controlled Porosity of Selective Laser Melting-Produced Thermal Pipes: Experimental Analysis and Machine Learning Approach for Pore Recognition on Pipes Surfaces I Malashin, D Martysyuk, V Tynchenko, V Nelyub, A Borodulin, ... Sensors 24 (15), 4959, 2024 | 1 | 2024 |
| Application of Natural Language Processing and Genetic Algorithm to Fine-Tune Hyperparameters of Classifiers for Economic Activities Analysis I Malashin, I Masich, V Tynchenko, V Nelyub, A Borodulin, A Gantimurov Big Data and Cognitive Computing 8 (6), 68, 2024 | 1 | 2024 |
Igor Masich (Игорь Сергеевич Масич)Siberian Federal University (Сибирский федеральный университет), Reshetnev Siberian State Universityبريد إلكتروني تم التحقق منه على sfu-kras.ru