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 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
A Large Language Model-Augmented Machine Learning Pipeline that integrates data acquisition, intelligent preprocessing, semantic feature engineering, automated model selection, hyperparameter optimization, explainable AI, continuous monitoring, and feedback-driven refinement within a unified framework is proposed.
Andrey Ershov· International Journal of Mac...· 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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