Climate change threatens global food security by disrupting temperature and rainfall patterns, increasing the risk of reduced crop yields. While extensive research has explored these impacts worldwide, limited studies have quantified the combined effects of climate change and management strategies on maize productivity...
An interpretable machine learning framework is presented for predicting the antimicrobial activity of silver nanoparticles (AgNPs), utilizing a curated dataset from NanoAntimicrobialDB that identified synthesis method, particle size, nanoparticle stabilization, and surface charge as critical factors influencing antimic...
Hang Yin, Iftikhar Ahmed, Calvyn T. Howells et al.· 3 Biotech· 0 citations
A novel MFL framework – Cascaded Unified Representation Learning for Efficient Fusion Network (CURE) – a lightweight and scalable framework that progressively integrates various modalities through a novel efficient Hybrid Geometry Aware Fusion layer (HyFuse), where each HyFuse layer is sequentially learned for each mod...
Joy Dhar, M. Pandey, Nayyar Zaidi et al.· Proceedings of the 32nd ACM...· 0 citations
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