A Hybrid Simulation-Physical Data-Driven Framework for Occupant Injury Prediction in Vehicle Underbody Structures. [PDF]
Si X +5 more
europepmc +1 more source
Abstract This study investigates the sensitivity of numerical simulations of atmospheric processes over complex terrain to land surface model (LSM) parameters, focusing on thermally driven circulations in an idealized valley. The sensitivity analysis is performed using the Weather Research and Forecasting model coupled with the Noah‐MP LSM, for forest ...
Dario Di Santo +4 more
wiley +1 more source
Integrating drying kinetics, quality attributes and machine learning for red pepper drying in a greenhouse solar dryer. [PDF]
Khaledifard G +3 more
europepmc +1 more source
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu +3 more
wiley +1 more source
Machine Learning-Driven Computer Vision System for Automated Fat and Energy Quantification in Human Milk Microcapillaries. [PDF]
Huamanga-Chumbes LE +5 more
europepmc +1 more source
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Hybrid modeling and forecasting of COVID-19: integrating SEAIQHRD and GPR for improved predictions. [PDF]
Rao MA +5 more
europepmc +1 more source
ABSTRACT Lung adenocarcinoma is the most common subtype of lung cancer and the leading cause of cancer‐related mortality worldwide. Ferroptosis, a regulated form of cell death characterized by iron‐dependent lipid peroxidation, has emerged as a promising therapeutic target for lung adenocarcinoma.
Mingxiang Huang +4 more
wiley +1 more source
Predicting solar cell efficiencies using historical data from a manufacturing process
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley +1 more source
Leveraging current steering and the biophysics of spike generation for cellular-resolution electrical stimulation of neurons. [PDF]
Vasireddy PK +15 more
europepmc +1 more source

