Abstract: Multiple input non-isolated dc-dc converters remain very popular in applications involving hybrid energy integration. This is due to their compact structure and low cost in comparison with ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Much more difficult is learning to connect different types of stimuli or events, and predicting that one is linked to another. Such associative learning was most famously demonstrated when Ivan Pavlov ...

Abstract: This letter investigates a multi-user Holographic Multiple-Input Single-Output (MISO) system, where a continuous surface transmitter communicates with multiple dipole receivers. The channel ...