Results 181 to 190 of about 2,783,365 (285)

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Spiking neural networks provide accurate and time-efficient models for whisker stimulus classification of the awake mouse. [PDF]

Front Neurosci
Albrecht S, Vandevelde JR, Vecchi E, Berra G, Bassetti D, Stüttgen MC, Luhmann HJ, Horenko I.   +7 more
europepmc   +1 more source

A Thermodynamic 3D Model for the Simulation of Diffusion‐Controlled Alloying Processes in Heterogeneous Material Structures

Advanced Engineering Materials, EarlyView.
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer, Leonhard Holländer, André Langohr, Hans Jürgen Maier   +3 more
wiley   +1 more source

Exploring the broad spectrum of machine learning technologies in the food sector: A comprehensive review of techniques and practical applications. [PDF]

Curr Res Food Sci
Feng J, Zheng F, Zhang Y, Zeng X, Wang Z, Liang J, Wang Z, Ji L, Shen Q.   +8 more
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification. [PDF]

Front Genet
Wang J, Yang X, Yang P, Yang J, Miao Y.
europepmc   +1 more source

Four‐Point Bending Tests at High Temperatures on Commercial MgO‐C Refractory Bricks with and Without Recyclate Considering Different Carbon Contents

Advanced Engineering Materials, EarlyView.
Four‐point bending tests are conducted in an argon atmosphere on commercial MgO‐C brick grades with and without MgO‐C recyclate from room temperature up to 1300 °C. No detrimental effect of the MgO‐C recyclates on bending strength is found. Instead, a decisive influence of the total carbon content is observed, with lower total carbon contents ...
Alexander Schramm, Lukas Knöchel, Thomas Schemmel, Christos G. Aneziris, Anja Weidner, Horst Biermann   +5 more
wiley   +1 more source

TC-HUR: A Tri-Phase Cauchy-Assisted Hunger Games Search and Unified Runge-Kutta Optimizer for Robust DNA Data Storage. [PDF]

Int J Mol Sci
Öztürk B, İgit A, Kaya A, Çamlıca ZT, Arıcı S, Şahin MF.   +5 more
europepmc   +1 more source

Al–Cu Composite Casting of Laser‐Deoxidized Copper: Bonding, Interfacial Chemistry, and Thermal Conductivity

Advanced Engineering Materials, EarlyView.
This study investigates laser‐based oxide removal of Cu inserts in oxygen‐free conditions and examines long‐term oxidation kinetics and surface chemistry under different atmospheres via X‐ray photoelectron spectroscopy. Al–Cu compound casting with differently oxidized surfaces is performed, and intermetallic phase formation, morphology, and thermal ...
Timon Steinhoff, Finn‐Lennard Janthur, Sascha Zimmermann, Sarah Seffer, Jörg Hermsdorf, René Gustus, Ludger Overmeyer, Wolfgang Maus‐Friedrichs, Hans Jürgen Maier, Christian Klose   +9 more
wiley   +1 more source

Current Trends in Artificial Intelligence for Recognizing Work Postures to Prevent Work-Related Musculoskeletal Disorders: Systematic Review and Meta-Analysis by Occupational Activity. [PDF]

Bioengineering (Basel)
Gorce P, Jacquier-Bret J.
europepmc   +1 more source