AI algorithms and IoT platforms for anomaly and failure prediction in industrial machinery-systematic review. [PDF]
Marín Vásquez ME +3 more
europepmc +1 more source
Objectives This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah +6 more
wiley +1 more source
Patchy Earliest Activation on Near-Field Annotation Mapping: A Pitfall in Ablation of Premature Ventricular Contractions Originating From the Right Ventricular Outflow Tract. [PDF]
Sakamoto Y, Osanai H, Yoshida E.
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
Path planning for volumetric flask grasping based on visual guidance and multi-constraint optimization. [PDF]
Yuan Z, Li M, Wang C.
europepmc +1 more source
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models. [PDF]
Qasem MA +5 more
europepmc +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
Validation of algorithms for identifying people living with HIV in French medico-administrative databases: implications for HIV surveillance. [PDF]
Tassi MF +3 more
europepmc +1 more source

