Physiological-Based Assessment of the Resilience of Training to Stressful Conditions. - Mikhail Zotov; J. Chris Forsythe; Vladimir Petrukovich; Inga Akhmedova (HCI (16), 2009)

A Dynamic Approach to the Physiological-Based Assessment of Resilience to Stressful Conditions. - Mikhail Zotov; Chris Forsythe; Alexey Voyt; Inga Akhmedova; Vladimir Petrukovich (HCI (20), 2011)

Algorithms for Extracting Mental Activity Phases from Heart Beat Rate Streams. - Alina Dubatovka; Elena Mikhailova; Mikhail Zotov; Boris Novikov 001 (DB&IS, 2016)

Adaptive Techniques for Extracting Mental Activity Phases from Heart Beat Rate Streams. - Alina Dubatovka; Elena Mikhailova; Mikhail Zotov; Boris Novikov 001 (DB&IS (Selected Papers), 2016)

Identifying nearby sources of ultra-high-energy cosmic rays with deep learning. - Oleg Kalashev; Maxim Pshirkov; Mikhail Zotov (CoRR, 2019)

Remote Sensing of the Atmosphere by the Ultraviolet Detector TUS Onboard the Lomonosov Satellite. - Pavel A. Klimov; Boris A. Khrenov; Margarita A. Kaznacheeva; Gali Garipov; Mikhail Panasyuk; Vasily Petrov; Sergei Sharakin; Andrei Shirokov; Ivan Yashin; Mikhail Zotov; Viktor Grebenyuk; Andrei Grinyuk; et al. (Remote. Sens., 2019)

Application of neural networks to classification of data of the TUS orbital telescope. - Mikhail Zotov (CoRR, 2021)

A Neural Network Approach for Selecting Track-like Events in Fluorescence Telescope Data. - Mikhail Zotov; Denis Sokolinskii (CoRR, 2022)

Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data. - Mikhail Zotov; Dmitry Anzhiganov; Aleksandr Kryazhenkov; Dario Barghini; Matteo Battisti; Alexander Belov; Mario Edoardo Bertaina; Marta Bianciotto; Francesca Bisconti; Carl Blaksley; Sylvie Blin; Giorgio Cambiè; et al. (Algorithms, 2023)

Refined STACK-CNN for Meteor and Space Debris Detection in Highly Variable Backgrounds. - Leonardo Olivi; Antonio Montanaro; Mario Edoardo Bertaina; Antonio Giulio Coretti; Dario Barghini; Matteo Battisti; Alexander Belov; Marta Bianciotto; Francesca Bisconti; Carl Blaksley; Sylvie Blin; Karl Bolmgren; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Analysis of Fluorescence Telescope Data Using Machine Learning Methods. - Mikhail Zotov; Pavel Zakharov (CoRR, 2025)