Results 191 to 200 of about 22,233,261 (243)

Investigation on the air supply subsystem of PEMFC based on sliding mode control and model predictive control. [PDF]

Sci Rep
Pan X, Li M, Wang X.
europepmc   +1 more source

Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors

AIChE Journal, Volume 72, Issue 10, October 2026.
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley   +1 more source

Comparison between various approaches without weighting factors with conventional MPTC for linear induction motors. [PDF]

Sci Rep
Hamad SA, Li Q, Kydyrovich MZ, Anjum MR, Ismail MM, Ghalib MA.   +5 more
europepmc   +1 more source

Advancing Long‐Term Energy Demand Forecasting: A PRISMA‐Guided Systematic Review of AI and Econometric Models

Applied Research, Volume 5, Issue 5, October 2026.
Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor, Mohamad Fani Sulaima, Mohd Khairil Rahmat, Norhafiza Mohamad, Hazlie Mokhlis   +4 more
wiley   +1 more source

AutoDyn: robust model predictive control design for trajectory tracking under varying vehicle dynamics. [PDF]

Sci Rep
Yeneneh K, Sufe G.
europepmc   +1 more source

A Hybrid Physics‐Informed Computational Framework for Adaptive Microrobotic Navigation and Causal Structure Discovery in Simulated Non‐Newtonian Environments

Applied Research, Volume 5, Issue 5, October 2026.
This study presents a hybrid AI framework that enables autonomous magnetic microrobots to navigate complex, non‐Newtonian tumor microenvironments. By integrating physics‐informed recurrent reinforcement learning with active persistent excitation, the system successfully infers hidden fluid rheology for precise targeted navigation and structural causal ...
Xinyuan Chen, Zanariah Abu Bakar, Mohd Nizam Husen   +2 more
wiley   +1 more source

Koopman global linearization of contact dynamics for robot locomotion and manipulation enables elaborate control. [PDF]

Nat Commun
O'Neill C, Terrones J, Asada HH.
europepmc   +1 more source

Impact of Liver Metastases on Outcomes With Chemotherapy or Immune Checkpoint Inhibitors in Pancreatic Cancer

Immunity, Inflammation and Disease, Volume 14, Issue 10, October 2026.
ABSTRACT Background Pancreatic cancer (PC) is on the rise worldwide, with significant improvements in survival rates still awaited. Most patients are diagnosed at an advanced stage, often with liver metastases (LM), associated with poor prognosis and immunosuppression.
Laura K. Kjær, Susann Theile, Kasper Madsen, Julia S. Johansen, Morten Orebo Holmström, Mads Hald Andersen, Inna M. Chen   +6 more
wiley   +1 more source

Disturbance Observer-Based Model Predictive Control for Multi-Frequency Interference Suppression in Space Laser Communication Systems. [PDF]

Sensors (Basel)
Chen Y, Tan M, Ge L, Zhang Y, Qin F, Chen L, Yu S.   +6 more
europepmc   +1 more source

Interventional Root‐Cause Analysis of Quality‐of‐Service Degradation in LEO Satellite‐User Assignment

International Journal of Network Management, Volume 36, Issue 5, September/October 2026.
ABSTRACT Operators of low Earth orbit (LEO) access networks increasingly diagnose quality‐of‐service (QoS) degradation with observational machine‐learning attribution, yet when the candidate causes are produced by the resource‐management policy itself, observational attribution is unsafe: it assigns the degradation to factors that an operator cannot ...
Edson José Pacheco, Carlos Marcelo Pedroso   +1 more
wiley   +1 more source