Results 141 to 150 of about 132,485,236 (247)

A deep learning approach to mild cognitive impairment detection from electroencephalogram signals. [PDF]

Dement Neuropsychol
Ohal HS, Mantri S.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Finite-temperature toroidal moment amenable to direct observation in an Fe₁₀Dy₁₀ molecular ring. [PDF]

Nat Commun
Soncini A, Hymas K, Braun J, Schneider YF, Calvello S, Baniodeh A, Lan Y, Wernsdorfer W, Affronte M, Anson CE, Powell AK.   +10 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Alzheimer's Disease Detection Using Combined EEG Source Connectivity and Microstate Features. [PDF]

Brain Sci
Huang L, Hu Z, Zhang Z, Gao Y.
europepmc   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Calibrated term presence modelling for CCUS patent abstracts: a case study with variational autoencoders and retrieval baselines. [PDF]

R Soc Open Sci
Matsantonis C, Tzougas G, Christopoulos D, Dekker D, Streftaris G.   +4 more
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Nearest orthogonal matrix representation for face recognition

, 2014
This paper presents a simple but effective method for face recognition, named nearest orthogonal matrix representation (NOMR). Specifically, the specific individual subspace of each image is estimated and represented uniquely by the sum of a set of basis
Jiawei Xu (17170504), Jian Yang (12136), Jianjun Qian (5661607), Jian Zhang (1682)   +3 more
core  

Style transfer mapping with ensemble learning for cross-subject EEG-based neuropsychiatric disease recognition. [PDF]

Front Physiol
Ding X, Guo Y, Ge S, Yang S, Su J, Xu M, Wang X, Chang H.   +7 more
europepmc   +1 more source