Deep Learning Methods for Tasks of Creating Digital Twins for Technological Processes I. S. LazukhinM. I. PetrovskiyI. V. Mashechkin MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S3 - S15
Deep Learning for Arrival Angle Prediction in the Baikal Neutrino Telescope A. Yu. LeonovO. E. KalashevI. V. Kharuk MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S16 - S24
Method for Separating Extensive Air Showers by Primary Mass Using Machine Learning for a Sphere-Type Cherenkov Telescope V. S. LatypovaV. A. NemchenkoT. M. Roganova MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S25 - S31
Application of Convolutional Neural Networks for Data Analysis in TAIGA-HiSCORE Experiment A. P. KryukovA. A. VlaskinaD. P. Zhurov MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S32 - S36
The Use of Conditional Variational Autoencoders for Simulation of EAS Images from IACTs A. P. KryukovS. P. PolyakovD. P. Zhurov MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S37 - S44
Selection of Gamma Events from IACT Images Using Deep Learning Methods E. O. GresA. P. KryukovD. P. Zhurov MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S45 - S51
Neural Network Approach to Impact Parameter Estimation in High-Energy Collisions Using Microchannel Plate Detector Data K. A. GalaktionovV. A. RoudnevF. F. Valiev MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S52 - S58
Generation of the Ground Detector Readings of the Telescope Array Experiment and the Search for Anomalies Using Neural Networks R. R. FitagdinovI. V. Kharuk MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S59 - S63
Generating Synthetic Images of Gamma-Ray Events for Imaging Atmospheric Cherenkov Telescopes Using Conditional Generative Adversarial Networks Yu. Yu. DubenskayaA. P. KryukovA. A. Vlaskina MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S64 - S70
Application of Machine Learning Methods in Baikal-GVD: Background Noise Rejection and Selection of Neutrino-Induced Events A. V. MatseikoI. V. Kharuk MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S71 - S79
Novelty Detection Neural Networks for Model-Independent New Physics Search A. D. ZaborenkoP. V. VolkovM. A. Perfilov MACHINE LEARNING IN FUNDAMENTAL PHYSICS 17 January 2024 Pages: S80 - S84
Estimating Cloud Base Height From All-Sky Imagery Using Artificial Neural Networks M. A. BorisovM. A. KrinitskiyN. D. Tilinina MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S85 - S95
Classification Approach to Prediction of Geomagnetic Disturbances I. M. GadzhievI. V. IsaevI. N. Myagkova MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S96 - S103
Client-Server Application for Automated Estimation of Bottom Sediment Composition in the Fraction >0.1 mm from Microphotography Using Modern Deep Learning Methods V. A. GolikovM. A. KrinitskiyE. I. Riazanova OriginalPaper 17 January 2024 Pages: S104 - S114
Transfer Learning for Neural Network Solution of an Inverse Problem in Optical Spectroscopy A. A. GuskovI. V. IsaevS. A. Dolenko MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S115 - S121
Study of the Integration of Physical Methods in Neural Network Solution of the Inverse Problem of Exploration Geophysics with Variable Physical Properties of the Medium I. V. IsaevI. E. ObornevS. A. Dolenko MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S122 - S127
Estimating Significant Wave Height from X-Band Navigation Radar Using Convolutional Neural Networks M. A. KrinitskiyV. A. GolikovN. D. Tilinina MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S128 - S137
Machine Learning Techniques for Anomaly Detection in High-Frequency Time Series of Wind Speed and Greenhouse Gas Concentration Measurements A. J. KasatkinM. A. Krinitskiy MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S138 - S148
Identifying Cetacean Mammals in High-Resolution Optical Imagery Using Anomaly Detection Approach Employing Machine Learning Models I. A. KhabutdinovM. A. KrinitskiyR. A. Belikov MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S149 - S156
Recognition of Skin Lesions by Images M. A. LedovskikhV. I. Gorikhovskii MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S157 - S168
Unsupervised Machine Learning Methods for Determining Special Points of the Polymerase Chain Reaction Fluorescence Accumulation Curve A. V. OrekhovM. A. Potekhina MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S169 - S179
Application of Machine Learning Methods to Numerical Simulation of Hypersonic Flow S. A. PavlovV. A. Istomin MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S180 - S187
Improvement of the AI-Based Estimation of Significant Wave Height Based on Preliminary Training on Synthetic X-Band Radar Sea Clutter Images V. Yu. RezvovM. A. KrinitskiyN. D. Tilinina MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S188 - S201
Decoding Fluorescence Excitation-Emission Matrices of Carbon Dots Aqueous Solutions with Convolutional Neural Networks to Create Multimodal Nanosensor of Metal Ions O. E. SarmanovaG. N. ChugreevaT. A. Dolenko MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S202 - S209
SMAP Sea Surface Salinity Improvement in the Arctic Region Using Machine Learning Approaches A. S. SavinM. A. KrinitskiyA. A. Osadchiev MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S210 - S216
Automatic Detection of Acoustic Signals of Beluga Whales and Bottlenose Dolphins A. A. TyshkoM. A. KrinitskiyR. A. Belikov MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S217 - S225
Machine Learning for Diagnostics of Space Weather Effects for the Arctic Region A. V. VorobevG. R. Vorobeva MACHINE LEARNING IN NATURAL SCIENCES 17 January 2024 Pages: S226 - S235
Decomposition of Spectral Band into Gaussian Contours Using an Improved Modification of the Gender Genetic Algorithm G. A. KupriyanovI. V. IsaevS. A. Dolenko MODERN MACHINE LEARNING METHODS 17 January 2024 Pages: S236 - S242
Hyperparameter Tuning of Neural Network for High-Dimensional Problems in the Case of Helmholtz Equation D. N. PolyakovM. M. Stepanova MODERN MACHINE LEARNING METHODS 17 January 2024 Pages: S243 - S255
Methods for a Partial Differential Equation Discovery: Application to Physical and Engineering Problems N. Y. BykovA. A. HvatovA. V. Boukhanovsky Modern Machine Learning Methods 17 January 2024 Pages: S256 - S265
