The rapid growth of e-commerce has created an overwhelming number of product choices, making it difficult for customers to find relevant items. Product Recommendation Engines (PREs) address this challenge by delivering personalized recommendations based on user preferences, browsing history, purchase behavior, and prod...
Andrey Ershov, Alexey Lyapunov· International Journal of Com...· 0 citations
The proposed Explainable Graph Artificial Intelligence Framework for Financial Risk Forecasting (XGraph-FR) integrates Graph Neural Networks (GNNs) and Explainable AI (XAI) to deliver accurate and interpretable financial risk predictions. It models financial markets as a heterogeneous graph connecting companies, sector...
Alexey Lyapunov· International Journal of Eme...· 0 citations
The transition from Industry 4.0 to Industry 5.0 emphasizes human-centric, sustainable, and intelligent manufacturing by integrating human expertise with advanced technologies such as Artificial Intelligence (AI), Industrial Internet of Things (IIoT), Cyber-Physical Systems (CPS), Digital Twins (DT), Edge Computing, Cl...
Andrey Ershov, Alexey Lyapunov· International Journal of Mod...· 0 citations
An AI-based dynamic task allocation framework that integrates machine learning, reinforcement learning, swarm intelligence, and optimization techniques to enable intelligent and adaptive decision-making in heterogeneous multi-robot systems is proposed.
Alexey Lyapunov· International Journal of Int...· 0 citations
This work forms a prior method based on Deep Deterministic Policy Gradient controller and a adaptive unscented Kalman filter which continuously providing constantly estimating robot states and improving the motion primitives in hazardous operating conditions to validate that end-to-end AI navigation architectures deliv...
Andrey Ershov, Alexey Lyapunov· International Journal of Int...· 0 citations
A Digital Twin-Assisted Optimization Framework for Electric Vehicle Charging Infrastructure (DTO-EVCI) that integrates IoT, cloud computing, artificial intelligence (AI), machine learning, and optimization techniques to enable real-time monitoring, predictive analytics, and intelligent charging management is proposed.
Andrey Ershov, Alexey Lyapunov· International Journal of Mod...· 0 citations
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