Results 201 to 210 of about 802,741 (299)
Hybrid deep learning and feature selection approach for autism detection from rs-fMRI data. [PDF]
Abd Elaziz M +8 more
europepmc +1 more source
High‐frequency (HF) welding of steel is limited by oxide inclusions that degrade weld quality. This study demonstrates, for the first time, the integration of a nonthermal Ar/H2 dielectric barrier discharge (DBD) plasma jet into HF welding. Local plasma treatment provides effective shielding and in‐situ oxide reduction, resulting in markedly fewer and ...
Viktor Udachin +4 more
wiley +1 more source
Bilateral Inguinal Hernia With Psoas Muscle Involvement: A Case Report and Literature Review. [PDF]
Urbina Velázquez MA +11 more
europepmc +1 more source
Nanoindentation Criteria for Combinatorial Thin Film Libraries
Thin‐film material libraries are compositional spreads used for screening composition‐structure‐property relationships. Nanoindentation is often used to characterize mechanical behavior across these systems, however variations in methodology are widespread.
Andre Bohn, Adie Alwen, Andrea M. Hodge
wiley +1 more source
Application of Reinforcement Learning Techniques in De Novo Drug Design: A Systematic Literature Review. [PDF]
Sampa MB, Aziz NHA.
europepmc +1 more source
Gas detection-assisted deep-space and deep-sea exploration
Qiang Wang +4 more
openaire +1 more source
Vision and Voyages for Deep Space Exploration
Yongliao ZOU, Qin WANG
openaire +1 more source
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 +4 more
wiley +1 more source
Accurate classification and prediction of knee osteoarthritis based on Al-Biruni Earth Radius metaheuristic optimizer and LSTM classifier. [PDF]
Diab AG +4 more
europepmc +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source

