{
  "id": 3006,
  "url": "https://arxiv.org/abs/2607.11839v1",
  "title": "LoRA-Based Cascaded Multimodal Fusion for Action Recognition in Medical Training Environments",
  "summary": "This paper presents a cascaded Low-Rank Adaptation (LoRA)-based multimodal fusion framework for action and activity recognition in healthcare-oriented training environments. The proposed architecture combines parameter-efficient modality-specific adaptation with sequential fusion, enabling modalities to be integrated in stages without retraining previously learned components. Rather than assuming a fixed fusion structure, the framework first integrates more closely related modalities and then in",
  "authors": "Divya Mereddy, Jeevan Beedareddy",
  "category": "research",
  "topics": "healthcare,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-13T17:27:58.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/3006",
  "original_url": "https://arxiv.org/abs/2607.11839v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}