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Ivan P Malashin

Showing results (1-10 of 6) with videos related to

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Scientific Reports|January 2, 2025
Optimizing qubit performance through smoothing techniquesIvan P Malashin, Igor S Masich, Vadim S Tynchenko, et al.
Scientific Reports|September 25, 2025
Assessing wildfire extents in Siberian forests using machine learningIvan P Malashin, Igor Masich, Vladimir Nelyub, et al.
Scientific Reports|March 9, 2026
Multi-objective optimization of a regional biogas supply chain using organic wasteIvan P Malashin, Dmitry Martysyuk, Vladimir Nelyub, et al.
Scientific Reports|July 30, 2025
Deep learning for property prediction of natural fiber polymer compositesIvan P Malashin, Dmitry Martysyuk, Vladimir Nelyub, et al.
Scientific Reports|December 27, 2024
Exploring temperature-dependent photoluminescence dynamics of colloidal CdSe nanoplatelets using machine learning approachIvan P Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Frontiers in Artificial Intelligence|November 3, 2025
Minimizing unnecessary tax audits using multi-objective hyperparameter tuning of XGBoost with focal lossIvan P Malashin, Igor S Masich, Vadim S Tynchenko, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Scientific Reports|January 2, 2025
Optimizing qubit performance through smoothing techniquesIvan P Malashin, Igor S Masich, Vadim S Tynchenko, et al.
Scientific Reports|September 25, 2025
Assessing wildfire extents in Siberian forests using machine learningIvan P Malashin, Igor Masich, Vladimir Nelyub, et al.
Scientific Reports|March 9, 2026
Multi-objective optimization of a regional biogas supply chain using organic wasteIvan P Malashin, Dmitry Martysyuk, Vladimir Nelyub, et al.
Scientific Reports|July 30, 2025
Deep learning for property prediction of natural fiber polymer compositesIvan P Malashin, Dmitry Martysyuk, Vladimir Nelyub, et al.
Scientific Reports|December 27, 2024
Exploring temperature-dependent photoluminescence dynamics of colloidal CdSe nanoplatelets using machine learning approachIvan P Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Frontiers in Artificial Intelligence|November 3, 2025
Minimizing unnecessary tax audits using multi-objective hyperparameter tuning of XGBoost with focal lossIvan P Malashin, Igor S Masich, Vadim S Tynchenko, et al.
Pageof 1