Industrial IoT predictive maintenance demands real-time anomaly detection under tight resource and interpretability constraints, while monolithic LLM-based systems remain impractical for on-site deployment. We introduce HAMA (Hierarchical Adaptive Multi-Agent Architecture), in which “adaptive” refers strictly to online...
Rebin Saleh, K. Dinh, Balázs Villányi et al.· IEEE Access· 0 citations
This review provides a comprehensive synthesis of efficient and lightweight deep learning architectures specifically tailored for the medical domain, and examines key model compression strategies and their efficacy in maintaining diagnostic performance while reducing hardware requirements.
C. M. Nguyen, Truong-Son Hy· Discover Artificial Intellig...· 0 citations
It is argued that agentic bioinformatics should be assessed through workflow correctness rather than final-answer correctness alone, and the Function--Evidence--Validation (FEV) framework is introduced, which separates demonstrated workflow operations, traceable support for actions and claims, and use-case-specific val...
LINKER is the first sequence-based model to predict residue-functional group interactions according to biologically defined interaction types, using only a protein sequence and the SMILES representation of the ligand, and requires only sequence-level input at inference.
Phuc Pham, Viet Thanh Duy Nguyen, Kevin Song et al.· Journal of Chemical Informat...· 1 citation
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