V. Lakhno, a professor at the Department of SMART Technologies, published “LSTM Model for Cyber Threat Detection in Adaptive Networks” in the Scopus-indexed series Lecture Notes in Electrical Engineering (2026).The paper addresses cyber threat detection in adaptive networks using an LSTM neural network model.Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=57680586200Read More

L. Zhumabayeva, a lecturer at the Department of SMART Technologies, published “MGNN-IDS: a multi-graph neural network approach for robust intrusion detection in the internet of things” in the Scopus-indexed journal Telecommunication Systems (2025).The paper proposes a multi-graph neural network approach for robust intrusion detection in the Internet of Things (IoT).Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=57188572898Read More

S. Gnatyuk, a professor at the Department of SMART Technologies, published “FraudX AI: An Interpretable Machine Learning Framework for Credit Card Fraud Detection on Imbalanced Datasets” in the Scopus-indexed journal Computers (2025).The paper presents an interpretable machine learning framework for detecting credit card fraud on imbalanced datasets.Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=36184129600Read More

B. Suleimenova, a lecturer at the Department of SMART Technologies, published “Early Detection of Aggressive Human Behavior in Video Streams Using Deep Spatiotemporal Models” in the Scopus-indexed journal Computers (2026).The paper addresses the early detection of aggressive human behaviour in video streams using deep spatiotemporal models.Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=57212409290Read More