Results 161 to 170 of about 234,781 (273)
EDX elemental map of the pre‐oxidized MgO–steel cermet anode cross section after electrolysis. The development of inert anodes for aluminum electrolysis remains challenging due to the high corrosivity of cryolite‐based melts at 950°C–1000°C. This study investigates the corrosion and process behavior of a carbon‐free MgO–steel cermet anode derived from ...
Alexander Adamczyk +7 more
wiley +1 more source
Multimodality medical image fusion using directional total variation based linear spectral clustering in NSCT domain. [PDF]
Khan MZ +6 more
europepmc +1 more source
A Fast Image Alignment Approach for 2D Classification of Cryo-EM Images Using Spectral Clustering. [PDF]
Wang X, Lu Y, Liu J.
europepmc +1 more source
Collagen hydrolysate is evaluated as a sustainable binder for MgO‐C refractories. Its thermally induced cross‐linking and gas release lead to expansion and cracking in large bricks, but tailored batches with lignin, recyclates, or fine graphite improve the gas release while thermal treatment and stability.
Till M. J. Stadtmüller +8 more
wiley +1 more source
DSCC: disease subtyping using spectral clustering and community detection from consensus networks. [PDF]
Tran D +7 more
europepmc +1 more source
Multi-View Spectral Clustering Based on Multi-Smooth Representation Fusion for Cancer Subtype Prediction. [PDF]
Liu J, Ge S, Cheng Y, Wang X.
europepmc +1 more source
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Revealing intra-group immunotherapy response heterogeneity in metastatic urothelial carcinoma through interpretable feature extraction and spectral clustering. [PDF]
Nagumo Y +5 more
europepmc +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source

