Results 181 to 190 of about 94,319 (292)
Controlling Dynamical Systems Into Unseen Target States Using Machine Learning
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr +2 more
wiley +1 more source
Habitat use of Bechstein´s bats (Myotis bechsteinii) within wind parks in forests. [PDF]
Hurst J +2 more
europepmc +1 more source
Digital seed amplification assay for TDP‐43 aggregate quantification in CSF
Abstract INTRODUCTION Dementia is commonly caused by underlying pathologies driven by misfolded protein aggregates. Although dementia subtypes have distinct mechanisms, overlapping symptoms make diagnosis without biomarkers difficult. Misdiagnosis has previously hindered drug development by enrolling patients non‐specifically in trials.
Ella Borberg +7 more
wiley +1 more source
Sensor fault diagnosis strategy based on rotor flux observers in three-phase induction motor drive. [PDF]
Tran CD, Kuchar M, Sotola V, Nguyen PD.
europepmc +1 more source
Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems
Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal +2 more
wiley +1 more source
Broken Rotor Bar Fault Detection for Inverter-Fed Induction Motor with Negative-Sequence Current Analysis. [PDF]
Ruzimov S, Zhang J, Huang X, Aziz MS.
europepmc +1 more source
This study compares positron emission particle tracking (PEPT), magnetic particle tracking (MPT), and DEM–SPH simulations to analyze grinding media dynamics in a horizontal stirred mill. It highlights the strengths of PEPT's precision, MPT's cost‐effectiveness, and DEM–SPH's versatility, offering insights into tracking and simulation methodologies ...
Sherry Bremner +5 more
wiley +1 more source
Reinforcement learning-driven model predictive control for optimizing counter-rotating permanent magnet synchronous motor in submarine propulsion system. [PDF]
Delelew EY +3 more
europepmc +1 more source
Single drone (a) and dual‐drone (a + b) setups used to assess behavioral responses to drone noise exposure. ABSTRACT Drones are increasingly being deployed to study wildlife; however, growing evidence indicates that drone noise can alter animal behavior and confound ecological data.
Saadia Afridi +6 more
wiley +1 more source

