Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source
Artificial neural network based optimization of engine performance using domestic biomass as a clean fuel. [PDF]
Ramalingam K +6 more
europepmc +1 more source
Valorization of indigenous Millettia ferruginea seed oil for biodiesel production: parametric optimization, physicochemical characterization, engine performance and emission characteristics. [PDF]
Ayalew LA, Tizazu BZ.
europepmc +1 more source
Test results of a 40-kW Stirling engine and comparison with the NASA Lewis computer code predictions [PDF]
A Stirling engine was tested without auxiliaries at Nasa-Lewis. Three different regenerator configurations were tested with hydrogen. The test objectives were: (1) to obtain steady-state and dynamic engine data, including indicated power, for validation ...
Allen, David J., Cairelli, James E.
core +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
Machine learning predictions for enhancing engine performance and emission using aluminum oxide nano additives in castor biodiesel. [PDF]
Nachippan M +6 more
europepmc +1 more source
The role of antioxidants in improving biodiesel's oxidative stability, poor cold flow properties, and the effects of the duo on engine performance: A review. [PDF]
Amran NA, Bello U, Hazwan Ruslan MS.
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
Enhancing Engine Performance and Sustainability: Gold Nanoparticles and Machine Learning for Biodiesel Optimization in Compression Ignition Systems. [PDF]
Gadagi A +7 more
europepmc +1 more source
Computational modeling and multi-objective optimization of engine performance of biodiesel made with castor oil. [PDF]
Umeuzuegbu JC +3 more
europepmc +1 more source

