This paper presents a new approach to improving user experience in virtual reality (VR)
environments using AI-driven user interface (UI) design. The proposed system uses …

This article investigates the economic implications of pricing models in cloud and distributed
computing systems, emphasizing their influence on system performance and user cost …

This study presents a new method for optimising high-risk trading (HFT) strategies using
deep learning (DRL). We propose a multi-time DRL framework integrating advanced neural …

This paper comprehensively analyzes AI-driven solar energy generation and smart grid
integration, focusing on enhancing renewable energy efficiency. The study examines …

This study explores the evolution of AI-driven product management in the retail industry,
focusing on product quality, customer retention, and revenue growth. From the extensive …

This study presents a new way to improve product discovery in e-commerce research using
large-scale language models (LLMs) for content-aware instruction. We propose a new …

This study proposes a novel federated learning framework for optimizing intelligent edge
computing resource scheduling. The framework addresses the challenges of device …

This paper presents a novel hybrid approach for enhancing personalized search by
integrating deep learning techniques with cloud computing infrastructure. The proposed …

This paper discusses the application and advantages of machine learning in anomaly
detection of network security traffic. By summarizing the existing methods and techniques of …