Higher education has entered an era of intensifying competition for each student. While the widely discussed "demographic cliff" - or "enrollment cliff" - may not peak for several years, the window to ...

Abstract: Attention-based models (AMs) with deep reinforcement learning (DRL) training schemes have emerged as a prominent research direction in the field of machine learning for combinatorial ...

Abstract: It is known that traditional node self-localization methods in wireless sensor networks (WSNs) often struggle with accuracy in anisotropic environments. This paper introduces the Max Hop ...

ElBruno.ModelContextProtocol is a .NET library that makes it easy to find the right tools from Model Context Protocol (MCP) tool definitions. It uses semantic search powered by local embeddings to ...

A local-first, open-source platform for composing, deploying, and managing autonomous AI agents with tool calling, vector memory, multi-agent routing, and full audit trails — all running on a single ...

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