Results 81 to 90 of about 179,089 (312)
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
Wafer-scale fabrication of solid-state nanopore array with a novel SpacerX process
Solid-state nanopores (SSNPs) have emerged as a transformative platform in nanotechnology and biotechnology, yet their application is limited by the lack of cost-effective, reproducible fabrication technology.
Lihuan Zhao +3 more
doaj +1 more source
Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian +4 more
wiley +1 more source
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
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
Deformable medical image registration (DMIR) is a fundamental component in contemporary medical image analysis. Graph Neural Networks (GNNs) offer strong spatial modeling, but deeper, multi-stage GNNs often lead to over-smoothed features across different
Muhammad Anwar, Wenming Cao
doaj +1 more source
Dual-modal spatiotemporal imaging of ultrafast dynamics in laser-induced periodic surface structures
The interactions between ultrafast lasers and materials reveal a range of nonlinear transient phenomena that are crucial in advanced manufacturing.
Qianyi Wei +9 more
doaj +1 more source
Localization and Tracking of Passive RFID Tags Based on Direction Estimation
Radio frequency identification (RFID) is poised for growth as businesses and governments explore applications implementing RFID. The RFID technology will continue to evolve to meet new demands for human and target location and tracking.
Yimin Zhang +2 more
doaj +1 more source
This article describes the preparation and characterization of poly(ε‐caprolactone) electrospun composite fibers incorporating sol‐gel‐derived bioactive glass particles doped with B and Cu. Scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, Fourier‐transform infrared spectroscopy, contact angle, acellular bioactivity, mechanical and ...
Elisa Piatti +5 more
wiley +1 more source
A novel D-band self-packaged silicon-based air cavity-backed transition from grounded coplanar waveguide to air-filled rectangular waveguide was investigated, fabricated, and measured in this work.
Zi-Qi Zhang +4 more
doaj +1 more source

