ONLINE MACHINE LEARNING FROM NON-STATIONARY DATA STREAMS IN THE PRESENCE OF CONCEPT DRIFT AND CLASS IMBALANCE: A SYSTEMATIC REVIEW

Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review

In IoT environment applications generate continuous non-stationary data streams with in-built problems of concept drift and class imbalance which cause classifier performance degradation.The imbalanced data affects the classifier during concept detection and concept adaptation.In general, for concept detection, a separate mechanism is added in para

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Graded-Anisotropy-Induced Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron

Spintronic three-terminal magnetic-tunnel-junction (3T-MTJ) devices have gained considerable interest in the field of neuromorphic computing.Previously, Paddock Boots these devices required external circuitry to implement the leaking functionality that leaky integrate-and-fire (LIF) neurons should display.However, the use of external circuitry resu

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Identification and Characterization of Antimicrobial Peptides From Butterflies: An Integrated Bioinformatics and Experimental Study

Butterflies represent one of the largest animal groups on Earth, yet antimicrobial peptides (AMPs) of this group are less studied in comparison with their moth counterparts.This study employed an integrated bioinformatics approach to survey Wine Tumbler Couple Card natural AMPs from publicly available genomic datasets.Numerous AMPs, including cecro

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