We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Abstract: This paper presents the modeling and experimental testing of a linear discrete-time Kalman filter (KF) to estimate the contact wrench (force/torque vector) of an unknown robot end effector ...

Objectives To estimate food availability and the contribution of different food sources during the first 10 months (7 October ...

We measure the “warmness” of the dark matter, i.e. the comoving root-mean-square thermal velocity v hrms (1) , with nearly 3000 spiral galaxy rotation curves in the ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

Abstract: We consider the continuous-time temporal difference (TD) learning dynamics with nonlinear value function approximations, where there is a slim understanding of the convergence properties in ...

Nikolaos Cacos, CEO commented, "This initial resource marks a pivotal step in unlocking the full potential of Rincon West and reinforces Argentina Lithium's position at the center of one of the most ...