Results 181 to 190 of about 882,610 (273)

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Next-generation protocol design for blockchain rewards with web-tool. [PDF]

Sci Rep
Arshad MZ, Algarni A.
europepmc   +1 more source

Dynamic Precipitation during High‐Pressure Torsion of a Magnesium–Manganese Alloy

Advanced Engineering Materials, EarlyView.
An ultrafine‐grained alloy is produced by high‐pressure torsion of solutionized Mg–1.35 wt% Mn. Precipitation of nanometer‐scale Mn particles during deformation provides pinning sites. This prevents the formation of a bimodal grain structure and results in a finer grain size than for pure Mg.
Julian M. Rosalie, Anton Hohenwarter
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Composite Electrospun Fibers Containing Optimized B‐ and Cu‐Doped Bioactive Glass Sol‐Gel Particles for Potential Soft Tissue Engineering Applications

Advanced Engineering Materials, EarlyView.
This article describes the preparation and characterization of poly(ε‐caprolactone) electrospun composite fibers incorporating sol‐gel‐derived bioactive glass particles doped with B and Cu. Scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, Fourier‐transform infrared spectroscopy, contact angle, acellular bioactivity, mechanical and ...
Elisa Piatti, Marta Miola, Liliana Liverani, Paolo Sartori, Enrica Verné, Aldo R. Boccaccini   +5 more
wiley   +1 more source

Impact of depressive tendency on intertemporal decision-making in college students: the moderated mediation effects of perceived stress and self-control. [PDF]

Front Psychiatry
Xie Y, Wang Z, Su D, Li Y, Gao X, Han J, Xie B.   +6 more
europepmc   +1 more source

Unlocking the Power of Quercetin‐Encapsulated Mesoporous Bioactive Glass Nanoparticles: A Multifunctional Approach to Bone Regeneration

Advanced Engineering Materials, EarlyView.
Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello, Qaisar Nawaz, Pier Francesco Ferrari, Laura Pastorino, Roberto Raiteri, Aldo R. Boccaccini   +5 more
wiley   +1 more source

Knowledge Distillation Meets Reinforcement Learning: A Cluster-Driven Approach to Image Processing. [PDF]

Sensors (Basel)
Kitrungrotsakul T, Xu Y, Srichola P.
europepmc   +1 more source

A Concept of a Digital and Traceable Manufacturing Documentation Based on Formalized Process Description Applied on Composite Aircraft Moveable

Advanced Engineering Materials, EarlyView.
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker, Dominik Delisle, Christian Krombholz, Martin Rädel, Frank Dressel   +4 more
wiley   +1 more source

Reinforcement Learning-Based Intelligent Path Planning for Optimal Navigation in Dynamic Environments. [PDF]

Neural Process Lett
Yadav AK, Sharma P, Cheng X, Shukla SSP.
europepmc   +1 more source