This paper presents a methodology for the reduction of the training space based on the analysis of the variation of the linear components of the acoustic features. The methodology is applied to the automatic detection of voice disorders by means of stochastic dynamic models. The acoustic features used to model the speech are: MFCC, HNR, GNE, NNE and the energy envelopes. The feature extraction ...

This paper proposes a charging strategy for plug-in electric vehicles (PEVs) in smart station (SCS) that considers load constraints and time anxieties. Due to the rapidly growing demand of PEVs capacity investments infrastructure, PEV needs be subject overload limits, beyond which failures can occur. The anxiety is presented address some uncertainties may arise while PEVs. Under an aggregative ...

We consider aggregative games with affine coupling constraints, where agents have partial information on the aggregate value and can only communicate neighbouring agents. propose a single-layer distributed algorithm that reaches variational generalized Nash equilibrium, under constant step sizes. The works single timescale, i.e., does not require multiple communication rounds between before upd...

Abstract Background Recently, ‘don’t eat me’-signals like CD47 have emerged as novel innate immune checkpoints, enabling cancer cells to evade clearance by phagocytes such monocyte-derived macrophages (MdM) or microglia (MG). Here, we aim at defining the role of inhibitory Siglec-9 in human and its mouse homologue Siglec-E MG-centered immunotherapy against GBM. Material Methods We employed a CT...