This survey presents a structured, design-oriented analysis of RAG-driven conversational systems through a principled framework that decomposes architectures along critical dimensions, including document segmentation and chunking strategies, embedding and indexing mechanisms, retriever and re-ranking models, knowledge...
V. Ghaywat, Abhyuday Singh, Aniket K. Shahade et al.· Discover Artificial Intellig...· 0 citations
A novel framework, prototype-regularised residual affinity maximisation (PRA-TAM), for unsupervised graph anomaly detection is proposed, computationally efficient, scalable, and well-suited to real-world graph anomaly detection applications characterised by complex, heterogeneous data distributions.
Wasim Khan, Sujit R. Wakchaure, Girisha R. Bombale et al.· International Journal of Dat...· 0 citations
The results demonstrate the potential of AI-driven Geo-Informatics to transform river monitoring from reactive assessment to proactive prediction, contributing to resilience building in accordance with the UN Sendai Framework and the Sustainable Development Goals on climate action and water management.
Jay Modhiya, Wasim Khan, Z. A. Ansari et al.· Scientific Reports· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.