The crux of the problem in this field is that efficient algorithms like k -means struggle to distinguish between metastable states effectively. However, more robust methods like density-based ...

Emerging real-time monitoring technologies have been implemented in stormwater system management in recent decades. However, barriers such as limited monitoring resources and transient reaction time ...

The Rec4Agentverse is a new recommendation paradigm for an LLM-based agent platform, offering personalized suggestions from Item Agents to users via the Agent Recommender. Distinguished by their ...

Recommender Systems are becoming inherent part of today's e-commerce applications. Since recommender system has a direct impact on the sales of many products therefore Recommender system plays an ...

In regard of collecting learners' information, Bhaskaran et al. (2021) proposed to apply a cluster-based linear pattern mining algorithm for extracting patterns of the learners, then to provide ...

This paper proposes a thorough investigation of traditional and emerging clustering algorithms for UEBA, considering multiple application contexts, i.e., different user-entity interaction scenarios.

Discover AI-based recommendation systems: Understand different types, key use cases, benefits, workflows, and implementation strategies.