Learning memristor switching degradation dynamics with neural models
Dmitry Zhevnenko
Chaos, Solitons & Fractals•2026
Publications
A collection of key scientific and applied works of the laboratory. In the future, the list can be linked to an external database or Google Scholar.
Hierarchical AI-Meteorologist: LLM-Agent System for Multi-Scale and Explainable Weather Forecast Reporting
Daniil Sukhorukov, Andrei Zakharov, Ilya Makarov
arXiv preprint arXiv:2511.23387•2026
A Modular LLM-Agent System for Transparent Multi-Parameter Weather Interpretation
Daniil Sukhorukov, Andrei Zakharov, Ilya Makarov
arXiv preprint arXiv:2512.11819•2025
First-principles data-driven approach for assessment of stability of Tc-C systems
Innokenty Humonen
Acta Materialia•2025
Poster: Car2Vec: Task-Agnostic Latent Embeddings from CAN Bus for Efficient V2X Communication
Aleksandr Kovalenko, Dmitry Zhevnenko, Ilya Makarov
Proceedings of the 31st Annual International Conference on Mobile Computing and Networking•2025
HL-EAI: A Multimodal Framework Enabling Emotional Reciprocity in Human-AI Strategic Decision-Making
Mikhail Mozikov, Ilya Makarov
Proceedings of the 33rd ACM International Conference on Multimedia•2025
LLMNLP
MuMMy: Multimodal Dataset supporting VLM-based Egyptology Research Assistant
Maxim Golyadkin, Innokenty Humonen, Ilya Makarov
MM '25: Proceedings of the 33rd ACM International Conference on Multimedia•2025
ACMCVarchaeology
Evaluation of Egyptian Hieroglyph Classification Across Diverse Writing Styles
Maxim Golyadkin, Ilya Makarov
Proceedings of the 33rd ACM International Conference on Multimedia•2025
archaeology
MEH: A Multi-Style Dataset and Toolkit for Advancing Egyptian Hieroglyph Recognition
Maxim Golyadkin, Ilya Makarov
Proceedings of the IEEE/CVF International Conference on Computer Vision•2025
archaeology
LCRM: A Linear-Camera Dataset for Road Marking Segmentation and Damage Evaluation
Ilya Makarov, Maxim Golyadkin
IEEE Access•2025
Automation of input control of transistors using deep learning models and analysis of their latent space
Dmitry Zhevnenko
Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia•2025
Automatic Interpretation of Ancient Egyptian Texts for Education and Research
Maxim Golyadkin, Innokenty Humonen, Ilya Makarov
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Posters•2025
archaeologyCV
Modeling memristor switching behavior through phase-delay cluster analysis
Dmitry Zhevnenko
Chaos, Solitons & Fractals•2025
ATGen: A Framework for Active Text Generation
Mikhail Mozikov, Ilya Makarov
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics•2025
Discovery of chemically modified higher tungsten boride by means of hybrid GNN/DFT approach
Innokenty Humonen
npj Computational Materials•2025
Optimizing state monitoring with domain degradation knowledge
Dmitry Zhevnenko, Ilya Makarov
IEEE Access•2025
Benchmarking machine learning models for predicting lithium ion migration
Innokenty Humonen
npj Computational Materials•2025
Autonomous AI-Driven Grid Protection: Sub-Cycle Fault Response via NPU-Optimized Neural Networks
Aleksandr Kovalenko, Ilya Makarov
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems•2025
SoCRPA
Impact of crystal structure symmetry in training datasets on GNN-based energy assessments for chemically disordered CsPbI3
Innokenty Humonen
Scientific Reports•2025
Introducing a neural network approach to memristor dynamics: A comparative study with traditional compact models
Dmitry Zhevnenko
Chaos, Solitons & Fractals•2025
Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset
Maxim Golyadkin, Ilya Makarov
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)•2025
SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis
Maxim Golyadkin, Ilya Makarov
IEEE Access•2025
Advancing Sequential Manga Colorization for AR through Data Synthesis
Maxim Golyadkin, Ilya Makarov
IEEE Access•2025