Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]
Benková K, Pearson JW, Ptashnyk M.
europepmc +1 more source
ABSTRACT This study investigates the way sustainable innovation, conceptualized as a second‐order construct integrating sustainable orientation and innovation culture, impacts triple bottom line (TBL) performance. It also examines the mediating roles of product, process, organizational, and marketing innovations.
Nuno Fernandes Crespo +1 more
wiley +1 more source
Transforming the automotive industry: Defining, clustering, and efficiency analysis of the next-generation automotive ecosystem. [PDF]
Shon M, Kim J, Kim H.
europepmc +1 more source
Abstract Applying a single parameter set to describe complex mammalian kinetics often is too simplistic, as it fails to capture sensitive cell‐to‐environment interactions that may be exploited to optimize production performance. To resolve this time dependency, intra‐experimental parameter shifts as part of design of dynamic experiments (DoDE) can be ...
Samuel Kienzle +7 more
wiley +1 more source
An optimization framework for battery health management in vehicle-to-grid systems integrating transformer-based degradation prediction and grid service requirements. [PDF]
Zhong C, Ma Q, Ren M, Xiong L.
europepmc +1 more source
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson +7 more
wiley +1 more source
Adaptive linear MPC for a PMSM-driven autonomous EV with a filtered third-order generalized integrator observer. [PDF]
Ismail MM +4 more
europepmc +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Genomic optimum contribution selection and mate allocation using JuMP. [PDF]
Waldmann P.
europepmc +1 more source
This work applies multi‐objective optimization to investigate trade‐offs between different objectives in syngas production with solid‐oxide cell co‐electrolysis. Two system designs are investigated. By systematically exploring tradeoffs between different objectives, insights, and comparisons of the operation of these designs are achieved.
Gbenga Jerome +6 more
wiley +1 more source

