Results 121 to 130 of about 1,239,591 (239)
A Variational Bayesian Constrained EKF for Sonar-Based Underwater Target Tracking in Shallow Water. [PDF]
Zhou H +5 more
europepmc +1 more source
ABSTRACT Cultivated meat offers a sustainable alternative to conventional livestock production but faces significant scale‐up challenges, particularly in bioreactor design for mammalian cell suspension cultures. This study presents a comparative analysis of stirred tank reactors (STR), bubble columns (BC), and airlift reactors (ALR) to assess their ...
Pieter Jan Theodoor Brorens +2 more
wiley +1 more source
Safe-RTSKF: A Safety-Constrained Recursive Two-Stage Kalman Filter for Robust Sensor State Estimation in Strongly Nonlinear Systems. [PDF]
Lin Y +6 more
europepmc +1 more source
Smart Monte Carlo: Various tricks using Malliavin calculus [PDF]
Current Monte Carlo pricing engines may face computational challenge for the Greeks, because of not only their time consumption but also their poor convergence when using a finite difference estimate with a brute force perturbation.
Eric Benhamou
core
ABSTRACT Institutional investors increasingly rely on ESG ratings to evaluate financially material sustainability risks, while governments promote corporate alignment with the United Nations Sustainable Development Goals (SDGs). Because these frameworks differ substantially in capital market salience and monitoring intensity, board oversight may not ...
Mohamed Hegazy +2 more
wiley +1 more source
Machine Learning-Driven Prediction and Design Guidance for Asphalt Concrete Using Marshall Stability and Indirect Tensile Strength. [PDF]
Xing J +5 more
europepmc +1 more source
Zero variance in Markov chain Monte Carlo with an application to credit risk estimation [PDF]
We propose a general purpose variance reduction technique for Markov Chain Monte Carlo estimators based on the Zero-Variance principle introduced in the physics lit- erature by Assaraf and Caarel ( 1999). The potential of the new idea is illustrated with
Tenconi Paolo
core
ABSTRACT Additive manufacturing (AM) adoption provides numerous benefits, including decentralised production, design flexibility, mass customisation, reduced material waste and lightweight designs. However, AM investment decisions are complex and challenging for manufacturers, and limited knowledge exists about the holistic assessment of relevant costs
Dilupa Nakandala +5 more
wiley +1 more source
Robust Kalman filter for heavy-tailed process and measurement noises. [PDF]
Wang Q, Ye C, Chang G, Tang C, Zhang X.
europepmc +1 more source
We present a machine‐learning framework that predicts the electron localization function (ELF) of dense hydrogen directly from atomic geometry, bypassing explicit electronic‐structure calculations. Trained on ab initio data for fluid hydrogen across multiple pressures, the model achieves high accuracy and reveals pressure‐dependent nonlocal ...
Xiaoyu Wang +5 more
wiley +1 more source

