Results 71 to 80 of about 872,163 (296)
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
Optimizing Reachability and Wrench Estimation in Robotic Ultrasound via Probe Holder Geometry
In robotic ultrasound the probe is attached to the robot’s end effector using custom-developed probe holders. To enable successful and safe scans, high reachability of the target poses as well as precise probe contact wrench control are crucial.
Osburg Jonas +2 more
doaj +1 more source
One of the important parameters influencing the formation of a weld during friction stir welding is the tool geometry, which affects the processes of heat generation and stirring of metals in their connection zone. These processes influence the formation
Igor N. Zybin, Darya A. Buzyreva
doaj +1 more source
KV. Cohomology and some applications [PDF]
Two versions of the KV-cohomology are presented and some algebraic and geometrical applications are given. We will see some applications to stochastic manifold. As a consequence, we can apply these ideas in Lorentzian geometry, in particular in
Ferdinand, Ngakeu
core
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat +6 more
wiley +1 more source
Investigating the Effect of Cutting Condition on the Plastic Energy in Turning Process of AISI 1050 [PDF]
Reducing energy consumption is a demanding issue considering the limited available energy resources and increasing environmental pollution. On the other hand, industry consumes a huge amount of energy, and manufacturing processes are the most energy ...
Mohammad Meghdad Fallah +1 more
doaj
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
Curvature and Concentration of Hamiltonian Monte Carlo in High Dimensions [PDF]
In this article, we analyze Hamiltonian Monte Carlo (HMC) by placing it in the setting of Riemannian geometry using the Jacobi metric, so that each step corresponds to a geodesic on a suitable Riemannian manifold.
Holmes, Susan +2 more
core
An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.
Bala Ismail Adamu +8 more
wiley +1 more source
Geometry-discrete load measurement on a cultivator tool
Zur Validierung analytischer und numerischer Berechnungen von bodenmechanischen Vorgängen in der Landtechnik sind detaillierte Informationen aus Versuchen notwendig.
Johannes Bührke +2 more
doaj +1 more source

