Utilization of BiLSTM- and GAN-Based Deep Neural Networks for Automated Power Amplifier Optimization over X-Parameters. [PDF]
Kouhalvandi L.
europepmc +1 more source
ABSTRACT This paper presents a robust control synthesis and analysis framework for nonlinear systems with uncertain initial conditions. First, a deep learning‐based lifting approach is proposed to approximate nonlinear dynamical systems with linear parameter‐varying (LPV) state‐space models in higher‐dimensional spaces while simultaneously ...
Sourav Sinha, Mazen Farhood
wiley +1 more source
Assessing groundwater dynamics in data-scarce mountainous regions using a lumped parameter groundwater model. [PDF]
Yang YS +6 more
europepmc +1 more source
160 GHz Schottky Diodes from Solution‐Processed IGZO
A simple, scalable method for contact engineering of planar asymmetric nanogap electrodes enables the development of Schottky diodes with a cut‐off frequency of 160 GHz. Applying these diodes to radio‐frequency rectifying circuits yields output voltages in the range of 0.3–0.74 volts.
Lazaros Panagiotidis +17 more
wiley +1 more source
Extended State Observer-Based Chattering Free Terminal Sliding-Mode Control of Hydraulic Manipulators. [PDF]
Gao H, Ma J, Liu Y, Xue G.
europepmc +1 more source
Better on Average? Average Inflation Targeting With an Unclear Averaging Window
ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley +1 more source
Experimentally Validated Modelling of a Base-Excited Piezoelectric Vibration Energy Harvester Connected to a Full Wave Rectified Load. [PDF]
Bonello P, Alalwan M.
europepmc +1 more source
Investigation of Microscopic Nonmetallic Inclusions in Powder Metallurgical High‐Speed Steels
Methods for inclusion analysis are evaluated for suitability. Various powder metallurgical steels in different processing states are characterized. SEM/EDS data are further analyzed using analytical and statistical approaches. A thermodynamic method for determining inclusion phase composition is tested.
Manuel Schickbichler +5 more
wiley +1 more source
Rapid, interpretable data-driven models of neural dynamics using recurrent mechanistic models. [PDF]
Burghi TB +5 more
europepmc +1 more source
The study evaluates mill scale‐based briquettes, which meet industrial standards for shatter strength and exhibit a low decrepitation index. Despite their limited reducibility in nonisothermal reduction experiments, softening and melting results indicate potential application as a substitute for conventional acidic iron‐bearing materials for use in ...
Ismael Vemdrame Flores +4 more
wiley +1 more source

