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of temperature estimation and prediction Physics-informed machine learning for battery state monitoring Electro-thermal coupled modeling of lithium-ion batteries Optimization of charging/discharging and thermal
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conditions. The in vivo work involves close clinal monitoration of compromised neonatal piglet, and their responsiveness toward a set of interventions. The program also involves a series of laboratory
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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