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Ivan Malashin

Showing results (11-20 of 20) with videos related to

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Discover Nano|February 27, 2026
A review of applications of machine learning in quantum dots researchIvan Malashin, Dmitry Martysyuk, Vladimir Nelyub, et al.
Polymers|March 28, 2024
Mechanical Testing of Selective-Laser-Sintered Polyamide PA2200 Details: Analysis of Tensile Properties via Finite Element Method and Machine Learning ApproachesIvan Malashin, Dmitriy Martysyuk, Vadim Tynchenko, et al.
Polymers|December 17, 2024
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A ReviewIvan Malashin, Dmitriy Martysyuk, Vadim Tynchenko, et al.
Scientific Reports|February 5, 2026
Dual-loop proportional control for high-precision induction brazing of thin-walled aluminum waveguidesVadim Tynchenko, Dmitry Martysyuk, Sergei Kurashkin, et al.
Polymers|November 27, 2024
Machine Learning in 3D and 4D Printing of Polymer Composites: A ReviewIvan Malashin, Igor Masich, Vadim Tynchenko, et al.
Scientific Reports|July 6, 2026
ForestSAR-YOLO: real-time detection of small human targets in UAV imageryIvan Malashin, Igor Masich, Vadim Tynchenko, et al.
Sensors (Basel, Switzerland)|July 27, 2024
Assessment of Anisotropic Acoustic Properties in Additively Manufactured Materials: Experimental, Computational, and Deep Learning ApproachesIvan Malashin, Vadim Tynchenko, Dmitry Martysyuk, et al.
Materials (Basel, Switzerland)|October 26, 2024
Modeling Temperature-Dependent Photoluminescence Dynamics of Colloidal CdS Quantum Dots Using Long Short-Term Memory (LSTM) NetworksIvan Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Sensors (Basel, Switzerland)|August 10, 2024
Controlled Porosity of Selective Laser Melting-Produced Thermal Pipes: Experimental Analysis and Machine Learning Approach for Pore Recognition on Pipes SurfacesIvan Malashin, Dmitry Martysyuk, Vadim Tynchenko, et al.
Sensors (Basel, Switzerland)|June 19, 2024
Deep Learning Approach for Pitting Corrosion Detection in Gas PipelinesIvan Malashin, Vadim Tynchenko, Vladimir Nelyub, et al.
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Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Discover Nano|February 27, 2026
A review of applications of machine learning in quantum dots researchIvan Malashin, Dmitry Martysyuk, Vladimir Nelyub, et al.
Polymers|March 28, 2024
Mechanical Testing of Selective-Laser-Sintered Polyamide PA2200 Details: Analysis of Tensile Properties via Finite Element Method and Machine Learning ApproachesIvan Malashin, Dmitriy Martysyuk, Vadim Tynchenko, et al.
Polymers|December 17, 2024
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A ReviewIvan Malashin, Dmitriy Martysyuk, Vadim Tynchenko, et al.
Scientific Reports|February 5, 2026
Dual-loop proportional control for high-precision induction brazing of thin-walled aluminum waveguidesVadim Tynchenko, Dmitry Martysyuk, Sergei Kurashkin, et al.
Polymers|November 27, 2024
Machine Learning in 3D and 4D Printing of Polymer Composites: A ReviewIvan Malashin, Igor Masich, Vadim Tynchenko, et al.
Scientific Reports|July 6, 2026
ForestSAR-YOLO: real-time detection of small human targets in UAV imageryIvan Malashin, Igor Masich, Vadim Tynchenko, et al.
Sensors (Basel, Switzerland)|July 27, 2024
Assessment of Anisotropic Acoustic Properties in Additively Manufactured Materials: Experimental, Computational, and Deep Learning ApproachesIvan Malashin, Vadim Tynchenko, Dmitry Martysyuk, et al.
Materials (Basel, Switzerland)|October 26, 2024
Modeling Temperature-Dependent Photoluminescence Dynamics of Colloidal CdS Quantum Dots Using Long Short-Term Memory (LSTM) NetworksIvan Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Sensors (Basel, Switzerland)|August 10, 2024
Controlled Porosity of Selective Laser Melting-Produced Thermal Pipes: Experimental Analysis and Machine Learning Approach for Pore Recognition on Pipes SurfacesIvan Malashin, Dmitry Martysyuk, Vadim Tynchenko, et al.
Sensors (Basel, Switzerland)|June 19, 2024
Deep Learning Approach for Pitting Corrosion Detection in Gas PipelinesIvan Malashin, Vadim Tynchenko, Vladimir Nelyub, et al.
Pageof 2