THEORY

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====== Review status ======

Шаблон рецензии в формате {{ dlcp2023:restricted:review_template.doc |DOC}} \\ 
Шаблон письма с просьбой провести рецензирование: [[rev_letter|Request for review]]

Легенда.
  * _blank_ - Articles not yet checked
  * Check OK - Check OK and ready for review
  * Accept - Article was accepted
  * Reject - The article was rejected
  * Revision - Article under revision
  * Approve - In approval process

==== Plenary Reports ====

^ Corresponding Author and Article Title   ^ Date of review     ^ Status   ||
| M.I.Petrovskiy. DEEP LEARNING METHODS FOR THE TASKS OF CREATING "DIGITAL TWINS" FOR TECHNOLOGICA PROCESSES                | 07.09.2023  | V.Ilyin \\ {{ dlcp2023:restricted:review_dlcp2023_petrovsky.doc |Review}} \\ **Acccept**  ||

==== Track 1. Machine Learning in Fundamental Physics ====

^ Corresponding Author and Article Title                            ^ Date of review  ^ Status   ||
| Ju.Dubenskaya et al., Generating Synthetic Images of Gamma-Ray Events for Imaging Atmospheric Cherenkov Telescopes Using Conditional Generative Adversarial Networks        |     30/09/2023  | Dudko \\  {{ dlcp2023:restricted:review_dlcp23_dubenskay.doc |Review}} \\ **Accept**||
| R.R.Fitagdinov. Generation of the ground detector readings of the Telescope Array experiment and the  search for anomalies using neural networks                          | 24/09/2023 | Demichev \\  {{ dlcp2023:restricted:review-fitagdinov.pdf |Review}} \\ **Accept** ||
| K.A.Galaktionov / Neural network approach to impact parameter estimation in high-energy collisions using the microchannel plate detector data                                | 21/09/2023 | Dudko \\ {{ dlcp2023:restricted:review-galaktionov.pdf |Review}} \\ **Accept** ||
| E.O.Gres. The selection of gamma events from IACT images with deep learning methods | 30/09/2023 | Dudko \\  {{ dlcp2023:restricted:review_dlcp23_gres.doc |Review}} \\ **Accept** ||
| A.Kryukov. Preliminary results of convolutional neural network models in HiSCORE experiment | 03/10/2023 | Dolenko \\ {{ dlcp2023:restricted:review_kryukov1.doc |Review}} \\ {{ dlcp2023:restricted:ответ_на_рецензию.docx |Answer}} \\ **Accept** ||
| A.Kryukov. The use of conditional variational autoencoders for simulation of EASs images from IACTs | 21/09/2023 | Krinitskiy \\ {{ dlcp2023:restricted:dlcp2023-kryukov-review.pdf |Review}} \\ {{ dlcp2023:restricted:answer-kryukov2.pdf |Answer}} \\ **Accept**||
| V.S.Latypova / Method for separating extensive air showers by primary mass using machine learning for a SPHERE-type Cherenkov telescope    | 27/08-01/09/2023 | Demichev \\ {{dlcp2023:restricted:review_latypova_dlcp23_ad.doc |review}} \\ **Accept**  ||
| A.Y.Leonov. Deep Learning for Angle of Arrival Prediction in the Baikal Neutrino Telescope  | 21/09/2023 | Demichev \\ {{ dlcp2023:restricted:review-leonov.pdf |Review}} \\ **Accept**  ||
| A.V. Matseiko. Application of machine learning methods in Baikal-GVD:background noise rejection and selection of neutrinoinduced events    |                    | A.Kryukov \\ {{ dlcp2023:restricted:review-matseiko.doc |Review}} \\ **Accept** ||
| A.D.Zaborenko. Novelty Detection Neural Networks for Model-Independent New Physics Search | 21/09/2023 | Ilyin \\ {{ dlcp2023:restricted:review-zaborenko.pdf |Review}} \\ **Acccept**||

==== Track 2. Machine Learning in Natural Sciences ====

^ Corresponding Author and Article Title   ^ Date of review     ^ Status   ||
| M.Borisov. Estimating cloud base height from all-sky imagery using artificial neural networks                                                                                                                                                                      | <27/09/2023 |Streltsova \\ {{ dlcp2023:restricted:рецензия_статья_dlcp2023_borisov.pdf |Review}} \\ {{ dlcp2023:restricted:answer-borisov.pdf |Answer}} \\ Consideration ||
| S.Dolenko (A.Guskov). Transfer Learning for Neural Network Solution of an Inverse Problem in Optical Spectroscopy                                                                                                                                                             | 05/09/2023 	| V.Roudnev. {{ dlcp2023:restricted:review_guskov.pdf |Review}}  \\ **Acccept** ||
| I.M.Gadzhiev. Classification Approach to Prediction of Geomagnetic Disturbances  | <25/09/2023 | Zrelov \\ {{ dlcp2023:restricted:review-gadzhiev.pdf |Review}} \\ **Accept**  ||
| V.Golikov. Client-server application for automated estimation of the material composition of bottom sediments in the >0.1 mm fraction from microphotography using modern deep learning methods | 21/09/2023 | Ilyin \\ {{ dlcp2023:restricted:review-golikov.pdf |Review}} \\ **Acccept**  ||
| A.Kasatkin. Machine learning techniques for anomaly detection in high-frequency time series of wind speed and greenhouse gas concentration measurements |                    | Demichev \\ {{ dlcp2023:restricted:review_kasatkin_dlcp23_ad.doc |Review}} \\ **Accept** ||
| I.Khabutdinov. Identifying cetacean mammals in high-resolution optical imagery using anomaly detection approach employing Machine Learning models  | 21/09/2023 | Dolenko \\ {{ dlcp2023:restricted:review_khabutdinov.doc |Review}} \\ {{ dlcp2023:restricted:answer-khabutdinov.pdf |Answer}} \\ **Accept** ||
| M.Krinitsky. Estimating significant wave height from X-band navigation radar using convolutional neural networks    |                    | Dudko=Sep22 \\ {{ dlcp2023:restricted:review_dlcp23_krinitskiy.doc |Review}} \\ {{ dlcp2023:restricted:answer-krinitskiy.pdf |Answer}} \\ **Accept**  ||
| M.A.Ledovskikh. Recognition of skin lesions from image  | 21/09/2023 | Krinitsky \\ {{ dlcp2023:restricted:review_dlcp2023-ledovskikh.pdf |Review}}  \\ Reject   \\ Demichev \\ {{ dlcp2023:restricted:review_ledovskih_dlcp23_ad.pdf |Review}} \\ Accept  \\ {{ dlcp2023:restricted:answer-ledovskikh.pdf |Answer}} \\ **Consideration** ||
| A.V.Orekhov. Unsupervised Machine Learning Methods for Determining Special Points of the Polymerase Chain Reaction Fluorescence Accumulation Curve    | 13/09/2023   | S.Dolenko. \\ {{ dlcp2023:restricted:review_orekhov.doc |Review}} \\ **Accept**      ||
| S.A.Pavlov. Application of Machine Learning Methods to Numerical Simulation of Hypersonic Flow                                                                                                                                                                     | 05/08/2023         | A.Demichev. {{ dlcp2023:restricted:review_pavlov_dlcp23_ad.doc |Review}} \\ {{ dlcp2023:restricted:response_letter_pavlov_istomin.pdf |Answer}} \\ **Accept**     ||
| V.Y.Rezvov. Improvement of the AI-based estimation of signifi cant wave height based on preliminary training on synthetic X-band radar sea clutter images  |  <25/09/2023 | Streltsova \\ {{ dlcp2023:restricted:рецензия_статья_dlcp2023_rezvov.pdf |Review}} \\ **Accept**    ||
| O.E.Sarmanova. Decoding fluorescence excitation-emission matrices of carbon dots aqueous solutions with convolutional neural networks to create multimodal nanosensor of metal ions  | 21/09/2023  | Krinitsky \\ {{ dlcp2023:restricted:review_dlcp2023-sarmanova.pdf |Review}} \\ **Accept**    ||
| A.Savin. SMAP sea surface salinity improvement in the Arctic region using machine learning approaches                                                                                                                                                              | 13/09/2023 	| V.Roudnev. \\ {{ dlcp2023:restricted:review_savin.doc |Review}} \\ {{ dlcp2023:restricted:answer-savin.pdf |Answer}} \\ **Consideration** ||
| A.Tyshko. Automatic detection of acoustic signals from white whales and bottle-nosed dolphins | <25/09/2023 | Zrelov \\ {{ dlcp2023:restricted:review-tyshko.pdf |Review}} \\ **Accept**  ||
| A.V. Vorobev. Machine learning for diagnostics of space weather effects in the Arctic region  | 21/08/2023         | E.Antonova \\ {{ dlcp2023:restricted:vorobevvorobeva_rev.pdf |Review}} \\ **Acccept-**     ||

==== Track 3. Modern Machine Learning Methods ====

^ Corresponding Author and Article Title   ^ Date of review     ^ Status   ||
| N.Y.Bykov / Methods for a Partial Differential Equation Discovery: Application to Physical and Engineering Problems    | 03/09/2023   | M.Stepanova. {{ dlcp2023:restricted:review_bykov.doc |Review}} \\ **Acccept** ||
| S.Dolenko. Decomposition of Spectral Contour into Gaussian Bands using Improved Modification of Gender Genetic Algorithm   | 26/08-02/09/2023   | M.Stepanova. {{ dlcp2023:restricted:review_dolenko_kupriyanov_.doc |Review}}  \\ **Acccept** ||
| I.Isaev. The study of the integration of physical methods in the neural network solution of the inverse problem of exploration geophysics with variable physical properties of the medium  | 31/08-0/09/2023 	| V.Roudnev. \\ {{ dlcp2023:restricted:review_isaev.pdf |Review}} \\ **Accept** ||
| Z.Kurdoshev. The importance of the number of overfits in time series forecasting by some optimizers and loss functions in neural networks  |  <25/09/2023 | Dolenko \\ {{ dlcp2023:restricted:review_kudroshev.doc |Review}} \\ Reject \\  Demichev \\ {{ dlcp2023:restricted:review_kyrdoshev_dlcp23_ad.doc |Review2}} \\ Reject \\ **Fin: Reject** ||
| D.N.Polyakov / Hyper-parameter tuning of neural network for high-dimensional problems in the case of Helmholtz equation  | 21/09/2023 | Krinitsky \\ {{ dlcp2023:restricted:review-polyakov-stepanova.pdf |Review}} \\ **Accept** ||

==== Withdrawn papers ====

^ Corresponding Author and Article Title                           ^ Date of review     ^ Status   ||
| A.Boukhanovsky. Generative AI for large models and digital twins |                    |           ||
| A.Kryukov. Machine Learning in Gamma Astronomy                   |                    |         ||
| L.Dudko. Methodology for the use of neural networks in the data analysis of the collider experiments | | ||
| A.Hvatov. Robust equation discovery as a machine learning method | 21/08/2023         | Withdrawn   ||
| V.Kalnitsky. Modification of soft connectives in machine learning models | 24/08/2023 | Withdrawn ||
| A.Polyakov. A technique for the total ozone columns retrieval using spectral measurements of the IKFS-2 instrument                                                         | 21/08/2023         | Withdrawn  ||
| A.Shevchenko. Determination of the charge of molecular fragments by machine learning methods | 22/08/2023 | Withdrawn    ||
| A.Vasiliev. The role of artificial intelligence in the preparation of modern scientific and pedagogical staff. The experience of the course “Neural networks and their application in scientific research” of Moscow State University named after M. V. Lomonosov                       |                    |  ||
| M.Zotov.Search for Meteors in the Mini-EUSO Orbital Telescope Data with Neural Networks |  | ||