Results 181 to 190 of about 27,824 (260)
A deep learning identification method of tight sandstone lithofacies integrating multilayer perceptron and multivariate time series. [PDF]
Mu Z +8 more
europepmc +1 more source
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo +11 more
wiley +1 more source
Multilayer perceptron-based literature reading preferences predict anxiety and depression in university students. [PDF]
Liu Y.
europepmc +1 more source
A symbolic regression approach (SISSO) with physics‐informed feature engineering achieves high‐accuracy prediction of magnetic properties in Cu‐based alloys under data‐scarce conditions. The framework offers an interpretable and transferable strategy for accelerated alloy design.
Buyang Ma +6 more
wiley +1 more source
Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study. [PDF]
Gu M +7 more
europepmc +1 more source
ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima +3 more
wiley +1 more source
Explainable Ensemble Learning and Multilayer Perceptron Modeling for Compressive Strength Prediction of Ultra-High-Performance Concrete. [PDF]
Aydın Y +3 more
europepmc +1 more source
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1$$ {T}_1 $$, T2$$ {T}_2 $$,
Hye‐Ryeong Choi +2 more
wiley +1 more source
A Multilayer Perceptron-Based Spherical Visual Compass Using Global Features. [PDF]
Du Y, Mateo C, Tahri O.
europepmc +1 more source
Hole‐making strategy and machining parameters influence delamination and hole quality in S2‐glass and basalt FRP composites, which subsequently affet flexural performance. Improved hole integrity leads to enhanced structural performance during three‐point bending.
Sara Saeed Abdulrahman Eltahir +2 more
wiley +1 more source

