Vladyslav Nechakhin

According to our database, Vladyslav Nechakhin authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph.

Vladyslav Nechakhin, Jennifer D'Souza, Steffen Eger

Inf., June, 2024

Enhancing solar panel efficiency with LSTM-based MPPT controllers.

Alexander Gozhyj, Vladyslav Nechakhin, Irina Kalinina

Proceedings of the Modern Machine Learning Technologies Workshop (MoMLeT 2024), 2024

2023

Similar Papers Recommendation for Research Comparisons.

Vladyslav Nechakhin, Jennifer D'Souza

Proceedings of the Joint Workshop Proceedings of the 5th International Workshop on A Semantic Data Space For Transport (Sem4Tra) and 2nd NLP4KGC: Natural Language Processing for Knowledge Graph Construction co-located with the 19th International Conference on Semantic Systems (SEMANTiCS 2023), 2023

Hyperparameter Optimization of LSTM MPPT Controller for Solar Power Plants.

Vladyslav Nechakhin, Irina Kalinina, Aleksandr Gozhyj

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

Building a Fuel Measurement System Model based on Colored Petri Nets.

Aleksandr Gozhyj, Irina Kalinina, Sergii Shiyan, Vladyslav Nechakhin

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

2021

Modeling an Intelligent Solar Power Plant Control System Using Colored Petri Nets.

Aleksandr Gozhyj, Irina Kalinina, Vladyslav Nechakhin, Victor Gozhyj, Victoria Vysotska

Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

2020

Solar Power Control System based on Machine Learning Methods.

Aleksandr Gozhyj, Vladyslav Nechakhin, Irina Kalinina

Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

Hybrid Power Plant Control System Based on Machine Learning Methods.

Aleksandr Gozhyj, Peter Bidyuk, Yoshio Matsuki, Vladyslav Nechakhin, Irina Kalinina, Oleg Shchesiuk

Proceedings of the Advances in Intelligent Systems and Computing V, 2020