QQMR applies Q-learning with priority queuing and fuzzy C-means clustering to select multipath routes in IoMT body area networks, raising packet delivery while cutting delay, overhead, and energy use.
Morphological and cytoskeleton changes in cells after EMT
4 Pith papers cite this work. Polarity classification is still indexing.
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A GNN-ODE digital twin forecasts reactor thermal-hydraulic states under partial observability, achieving low error on held-out transients and recovering a physical heat-transfer correlation during sim-to-real adaptation.
Marangoni-driven flows explain heterogeneous Piezo1 distribution in epithelial cells and higher activity in cancer cells through membrane interactions and driving forces.
IncepDeHazeGAN is a GAN with Inception blocks and multi-layer feature fusion that claims state-of-the-art single-image dehazing performance on satellite datasets.
citing papers explorer
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A Q-learning-based QoS-aware multipath routing protocol in IoMT-based wireless body area network
QQMR applies Q-learning with priority queuing and fuzzy C-means clustering to select multipath routes in IoMT body area networks, raising packet delivery while cutting delay, overhead, and energy use.
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Graph Neural ODE Digital Twins for Control-Oriented Reactor Thermal-Hydraulic Forecasting Under Partial Observability
A GNN-ODE digital twin forecasts reactor thermal-hydraulic states under partial observability, achieving low error on held-out transients and recovering a physical heat-transfer correlation during sim-to-real adaptation.
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Marangoni-Driven Redistribution and Activity of Piezo1 Molecules in Epithelial and Cancer Cells
Marangoni-driven flows explain heterogeneous Piezo1 distribution in epithelial cells and higher activity in cancer cells through membrane interactions and driving forces.
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IncepDeHazeGAN: Novel Satellite Image Dehazing
IncepDeHazeGAN is a GAN with Inception blocks and multi-layer feature fusion that claims state-of-the-art single-image dehazing performance on satellite datasets.