Abstract: The paper researches math model about equipment failure rate, in order to forecast exactly equipment failure rate and advance equipment integrity rate and mission success rate and reserve ...

Cyber catastrophe models are a potential solution to the “chicken and egg” growth problem the market faces, according to ...

Combining classic comparative approaches, including collecting species from the wild, and cutting-edge light-induced gene manipulation technology, researchers from Japan and Germany have discovered ...

London-based startup Throxy raises $6.2 million to replace AI sales tools with a human-first outbound model targeting ...

The best way of monetizing a consumer base is to create multiple tiers that serve to maximize revenue from different user ...

The most complained-about problem to RepairPal is the remote keyless entry not working. Many Journey model years have electrical problems pertaining to the car failing to start, stalling, and ...

We should add a linear classifier (logistic regression style) as an alternative to the current MLP in patient-level modeling. Same input format and preprocessing as MLP (patient feature vectors).

This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

Linear complementarity problems (LCPs) constitute a salient class of mathematical models wherein one seeks vectors that fulfil mutually exclusive non-negativity and orthogonality conditions relative ...

ABSTRACT: The VMamba (Visual State Space Model) is built upon the Mamba model by stacking Visual State Space (VSS) modules and utilizing the 2D Selective Scan (SS2D) module to extend the original ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...