Author

S. Remya

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Open access Sep 2026

A unified multi-modal latent diffusion framework with modality-dropout training

Introduction Multi-modal conditioning in latent diffusion models—combining text, structural, and spatial guidance signals—substantially improves controllable image synthesis, yet two limitations persist across most existing frameworks. First, conditioning modalities are fused using fixed architectural weights that rema...

S. Remya, Manu J. Pillai, Laveena Herman et al. · Frontiers in Artificial Inte... · 0 citations

Open access Jul 2026

A deep learning perception framework for farm digital twins: weed species classification, semantic segmentation, and gradient-based visual interpretability

The emergence of Farm Digital Twins (Farm-DT) as a transformative paradigm in smart agriculture demands robust, real-time perception modules capable of continuous plant-level monitoring, predictive analytics, and automated decision support. A critical bottleneck in operationalising Farm-DTs is the absence of interpre...

A. Manoj, Aiswarya S. Kumar, S. Remya et al. · Frontiers in Sustainable Foo... · 0 citations