A study of different web-crawler behaviour. - Alexander Menshchikov; Antonina Komarova; Yurij A. Gatchin; Anatoly Korobeynikov; Nina Tishukova (FRUCT, 2017)

Analysis and comparison of electronic digital signature state standards GOST R 34.10-1994, GOST R 34.10-2001 and GOST R 34.10-2012. - Antonina Komarova; Alexander Menshchikov; Tatyana Klyaus; Anatoly Korobeynikov; Yurij A. Gatchin; Nina Tishukova (SIN, 2017)

Mixed Reality Glasses: Low-Power IoT System for Digital Augmentation of Video Stream in Visual Recognition Applications. - Alexander Menshchikov; Andrey Somov (SIES, 2018)

Developing IoT Devices Empowered by Artificial Intelligence: Experimental Study. - Viktor Prutyanov; Nikita Melentev; Daniil Lopatkin; Alexander Menshchikov; Andrey Somov (GIoTS, 2019)

Data-Driven Body-Machine Interface for Drone Intuitive Control through Voice and Gestures. - Alexander Menshchikov; Dmitry Ermilov; I. Dranitsky; L. Kupchenko; Maxim Panov; Maxim V. Fedorov; Andrey Somov (IECON, 2019)

Realizing Body-Machine Interface for Quadrotor Control Through Kalman Filters and Recurrent Neural Network. - Alexander Menshchikov; Daniil Lopatkin; Evgeny V. Tsykunov; Dzmitry Tsetserukou; Andrey Somov (ETFA, 2020)

eSports Players Professional Level and Tiredness Prediction using EEG and Machine Learning. - Nikita Melentev; Andrey Somov; Evgeny Burnaev; Irina Strelnikova; Galina Strelnikova; Elizaveta Melenteva; Alexander Menshchikov (IEEE SENSORS, 2020)

Enabling Precision Agriculture Through Embedded Sensing With Artificial Intelligence. - Dmitrii G. Shadrin; Alexander Menshchikov; Andrey Somov; Gerhild Bornemann; Jens Hauslage; Maxim V. Fedorov (IEEE Trans. Instrum. Meas., 2020)

Threats and Security Issues in Cloud Storage and Content Delivery Networks: Analysis. - Jean Daniel Kouam Waguia; Alexander Menshchikov (FRUCT, 2021)

Real-Time Detection of Hogweed: UAV Platform Empowered by Deep Learning. - Alexander Menshchikov; Dmitrii Shadrin; Viktor Prutyanov; Daniil Lopatkin; Sergey Sosnin; Evgeny V. Tsykunov; Evgeny Iakovlev; Andrey Somov (IEEE Trans. Computers, 2021)

Comparative Analysis of Machine Learning Methods Application for Financial Fraud Detection. - Alexander Menshchikov; Vladislav Perfilev; Denis Roenko; Maksim Zykin; Maksim Fedosenko (FRUCT, 2022)

Processing of Unstructured Information About Software Vulnerabilities. - Daniela-Kler Nkodia; Alexander Menshchikov; Dmitriy Tatarov (FRUCT, 2022)

Drone-Aided Detection of Weeds: Transfer Learning for Embedded Image Processing. - Iaroslav Koshelev; Maxim Savinov; Alexander Menshchikov; Andrey Somov (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)