Results 231 to 240 of about 5,408,588 (346)
MPPT algorithms for grid-connected solar systems including deep learning approaches. [PDF]
Değermenci M, Yalman Y, Olcay K.
europepmc +1 more source
Objectives Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition, with widely varying global prevalence estimates. Frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the US or UK at 19‐39 per 100,000 as opposed to 65‐97 per 100,000.
Lucinda Roper +7 more
wiley +1 more source
Validation of longitudinal biomarker screening algorithms for HCC detection in patients with cirrhosis. [PDF]
Singal AG +15 more
europepmc +1 more source
Expected O(N) and O(N??�) algorithms for constructing Voronoi diagrams in two and three dimensions
Javier Bernal
openalex +1 more source
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical frailty index (FI).
Grace Burns +2 more
wiley +1 more source
Global-best-guided electric eel foraging optimizer for robust parameter identification of Lorenz and memristive chaotic systems. [PDF]
Izci D +6 more
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
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
Machine learning driven identification of optimal nanomaterials for efficient pararosaniline dye removal from water using a RFHGB hybrid model. [PDF]
Anandhi G, Iyapparaja M.
europepmc +1 more source

