Results 51 to 60 of about 8,796 (225)
LLM‐Guided Parameter Optimization for Mechanistic CHO Cell Bioreactor Models
ABSTRACT Mechanistic models of Chinese Hamster Ovary (CHO) cell cultures are essential for efficient bioprocess development and control, yet parameter estimation remains a critical challenge in model calibration. As model complexity increases, the number of parameters grows and their values become highly system‐specific due to biological variability ...
Han Bit Kim +4 more
wiley +1 more source
ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley +1 more source
Dynamic Calibration of DEM Simulations Using Rotating Drum Experiments Using the Mean Absolute Error
Calibrating DEM simulations is challenging due to unknown microscopic parameters. Rotating drum experiments are combined with image‐based analysis and Latin Hypercube Sampling (LHS). An area‐based Mean Absolute Error (MAE) enables reliable identification of optimal parameter sets.
Marius Hoffmann +2 more
wiley +1 more source
Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley +1 more source
Switching Systems Synthesis Method Using Permuted Gray Code Tables (PGC Method)
Finding the shortest function on switching systems is a necessity for the development of efficient automatic systems. Currently, several methodologies aim to solve this need with different techniques.
Cesar Troya-Sherdek +3 more
doaj
Optimal subsampling for regression with mixed‐type predictors
Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley +1 more source
Extraconnectivity of hypercubes
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weihua Yang, Jixiang Meng
openaire +1 more source
This study presents an integrated workflow to evaluate secure and large‐scale CO2 storage in depleted oil reservoirs of the Cambay Basin, India. Industrial CO2 sources are systematically matched with mature oil fields using a quantitative source–sink framework to minimize transport distance and cost.
Bhaskarjyoti Khanikar
wiley +1 more source
The Small-Scale Satellite Modular Hyperspectrometer
Recently in the world practice of aerospace monitoring of the Earth there has been an increasingly active using of methods and devices of hyperspectral imaging.
A. O. Martinov +4 more
doaj +1 more source
The carvingwidth of hypercubes
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chandran, Sunil L, Kavitha, T
openaire +1 more source

