Журнал - CYBERNETICS AND PHYSICS / 2024 / Number 4 — Институт Проблем Машиноведения РАН ( ИПМаш РАН )

Control over the training performance of quantum state tomography with reservoir computing networks

Autors:

Sergey Borisenok

Pages:

275–280

doi:

https://doi.org/10.35470/2226-4116-2024-13-4-275-280

On cycle slipping in infinite-dimensional control systems with periodic nonlinearities

Autors:

Alexandr P. Elsakov , Anton Proskurnikov , Vera Smirnova

Pages:

281–287

doi:

https://doi.org/10.35470/2226-4116-2024-13-4-281-287

New algorithms for restoring DNA matrix and their statistical study

Autors:

Boris Melnikov

Pages:

288–295

doi:

https://doi.org/10.35470/2226-4116-2024-13-4-288-295

Identification of neural mass network parameters using EEG evoked potential data

Autors:

c.o.p.a.m.s. Sergei A. Plotnikov

Pages:

296–301

doi:

https://doi.org/10.35470/2226-4116-2024-13-4-296-301

Quantum probabilistic space analysis for enhanced two-wheeler traffic safety: from classical limitations toadvanced quantum circuits

Autors:

Natarajan Shriethar

Pages:

302–322

doi:

https://doi.org/10.35470/2226-4116-2024-13-4-302-322

NIRsViT: a novel deep learning model for manure identification using near-infrared-spectroscopy and imbalanced data handling

Autors:

Nguyen Van Hieu , Ngo Le Huy Hien , Minh Toan Dinh , Phan Binh , Minh Nhat Phan , Phung Thi Anh , Le Viet Hung , Nguyen Huy Tuong

Pages:

323–333

doi:

https://doi.org/10.35470/2226-4116-2024-13-4-323-333

Neural networks with iterative parameter generation for determining parameters of constitutive models

Autors:

Yuyi Zhang , Shixiang Zhao , c.o.p.a.m.s. Nikita Kazarinov , d.o.p.a.m.s. Петров Ю.В.

Pages:

334–345

doi:

https://doi.org/10.35470/2226-4116-2024-13-4-334-345

Institute for Problems in Mechanical Engineering
of the Russian Academy of Sciences

Number 4

Control over the training performance of quantum state tomography with reservoir computing networks

On cycle slipping in infinite-dimensional control systems with periodic nonlinearities

New algorithms for restoring DNA matrix and their statistical study

Identification of neural mass network parameters using EEG evoked potential data

Quantum probabilistic space analysis for enhanced two-wheeler traffic safety: from classical limitations toadvanced quantum circuits

NIRsViT: a novel deep learning model for manure identification using near-infrared-spectroscopy and imbalanced data handling

Neural networks with iterative parameter generation for determining parameters of constitutive models

Contacts