Results 201 to 210 of about 1,005,063 (328)
A Wasserstein-Space-Based Framework for Processing Fiber Orientation Geometry in Diffusion MRI. [PDF]
Nie X, Shi Y.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
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 +2 more
wiley +1 more source
A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]
Jahanvi, Nishad DK, Singh R, Khalid S.
europepmc +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
An FPT Algorithm Beating 2-Approximation for k-Cut [PDF]
Anupam Gupta, Euiwoong Lee, Jason Li
openalex +1 more source
Current Tracking Adaptive Control of Brushless DC Motors
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García +3 more
wiley +1 more source
Approximation Algorithms and Hardness Results for Labeled Connectivity Problems
Refael Hassin +2 more
openalex +2 more sources
A constant-factor approximation algorithm for the k MST problem (extended abstract) [PDF]
Avrim Blum, R. Ravi, Santosh Vempala
openalex +1 more source
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 +8 more
wiley +1 more source

