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4 papers · 1 filter
Novel mixed approximate deconvolution subgrid-scale models for large-eddy simulation
Ehsan Amani, Mohammad Bagher Molaei, Morteza Ghorbani
Approximate Deconvolution (AD) has emerged as a promising closure for Large-Eddy Simulation (LES) in complex multi-physics flows, where the conventional pure Dynamic Eddy-Viscosity…
Epistemic Deep Learning: Enabling Machine Learning Models to Know When They Do Not Know
Shireen Kudukkil Manchingal
Machine learning has achieved remarkable successes, yet its deployment in safety-critical domains remains hindered by an inherent inability to manage uncertainty, resulting in over…
AMHRP: Adaptive Multi-Hop Routing Protocol to Improve Network Lifetime for Multi-Hop Wireless Body Area Network
Muhammad Mateen Yaqoob, Kulsoom Fatima, Shahab Shamshirband +2
This paper presents a protocol for enhancement of life time of WBAN network as well other protocol related issues such as throughput, path loss, and residual energy. Bio-sensors ar…
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge
Kang Wang, Chen Qin, Zhang Shi +46
Deep learning models have achieved state-of-the-art performance in automated Cardiac Magnetic Resonance (CMR) analysis. However, the efficacy of these models is highly dependent on…