Lean and flexible manufacturing is a matter of necessity for the automotive industries today.Rising consumer expectations, higher raw material and processing costs, and dynamic market conditions are driving the auto sector to become smarter and agile.This paper presents a machine learning-based soft sensor approach for identification and prediction
In this paper, a physics-based model that couples a bank erosion model with a meander evolution model is developed and evaluated.The physics-based bank erosion bond no.9 nuits de noho model considers the cantilever failure mechanism with slump blocks and decomposition effects.Moreover, bank accretion was considered using critical values of time req
The zero-forcing (ZF) and minimum mean square error (MMSE) based detectors can approach optimal performance in the uplink of massive multiple-input multiple-output (MIMO) systems.However, they require inverting a matrix whose complexity is cubic in relation to the matrix dimension.This can lead to the high computational effort, especially in massiv
This experimental study investigates the effect of steatite and fly ash on the fresh and hardened properties of self-compacting concrete (SCC).Accordingly, ordinary Portland cement (53 grade) was replaced with various fractions of fly ash (10% and 20%) and with various percentages (5%, 10%, 15%, 20%, and 25%) of steatite by weight of cement as a fi
The Notch signaling pathway consists of multiple types of receptors and ligands, whose interactions can be tuned by Fringe glycosyltransferases.A major challenge is to determine how these components control the specificity and directionality of Notch signaling in developmental contexts.Here, we analyzed same-cell (cis) Notch-ligand interactions for