Results 121 to 130 of about 1,256,700 (250)

Self-Contrastive Graph Diffusion Clustering for Hyperspectral Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) clustering is widely utilized in remote sensing applications, yet it remains a challenging unsupervised learning task. In current deep HSI clustering frameworks, the concept of contrastive learning is widely adopted.
Chunyan Wang   +8 more
doaj   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Beyond spectral clustering - tight relaxations of balanced graph cuts

open access: yes, 2011
Spectral clustering is based on the spectral relaxation of the normalized/ratio graph cut criterion. While the spectral relaxation is known to be loose, it has been shown recently that a non-linear eigenproblem yields a tight relaxation of the Cheeger ...
Hein, Matthias   +3 more
core  

gcMECM: graph clustering of mutual exclusivity of cancer mutations. [PDF]

open access: yesBMC Bioinformatics, 2021
Hu Y, Yan C, Chen Q, Meerzaman D.
europepmc   +1 more source

Design of a Multistable Finger Prosthesis with Programmable Metamaterials

open access: yesAdvanced Engineering Materials, EarlyView.
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz   +5 more
wiley   +1 more source

Deep Contrastive Graph Learning with Clustering-Oriented Guidance [PDF]

open access: yes
Graph Convolutional Network (GCN) has exhibited remarkable potential in improving graph-based clustering. To handle the general clustering scenario without a prior graph, these models estimate an initial graph beforehand to apply GCN.
Chen, Mulin, Li, Xuelong, Wang, Bocheng
core   +1 more source

Dual-channel attribute graph clustering beyond the homogeneity assumption

open access: yesDianxin kexue
In recent years, significant progress has been made in the research of attribute graph clustering. However, existing methods are mostly based on the homogeneity assumption, thereby neglecting the application scenarios of heterogeneous graphs, leading to ...
AN Junxiu, LIU Yuan, YANG Linwang
doaj  

Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System

open access: yesAdvanced Engineering Materials, EarlyView.
Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner   +7 more
wiley   +1 more source

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