Results 71 to 80 of about 16,583,366 (283)

Research on Wear Debris Recognition System Based on ART and Gray Level Co-Occurrence Matrix

open access: yes, 2011
Wear debris recongition system is researched,which is based on adaptive resonance theory of artifical neural network(ART) and gray level co-occurrence matrix.The ditailed process is as follows:the first,according to gray level co-occurrence matrix theory,
Jian Li Kang
core   +1 more source

Influence of Fe Particle Size Distribution on Chemical Homogeneity, Microstructure, and Crack Formation in Fe–SiC Powder Blends Processed by PBF‐LB/M

open access: yesAdvanced Engineering Materials, EarlyView.
The influence of Fe particle size on in situ alloying of Fe–SiC powder blends in PBF‐LB/M is revealed. Contrary to expectations, the coarser Fe fraction provides a broader crack‐free processing window and slightly improved elemental homogeneity while producing higher but more variable hardness. The results highlight a complex trade‐off between particle
Anna Luise Strauch   +2 more
wiley   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

IDENTIFIKASI BATIK PEKALONGAN MENGGUNAKAN METODE GRAY LEVEL CO-OCCURRENCE MATRIX DAN PROBABILISTIC NEUTRAL NETWORK [PDF]

open access: yes, 2019
ABSTRAK Batik adalah kesenian menggambar diatas kain yang dalam pembuatannya dilakukan secara khusus. Kerajinan batik setiap daerah memiliki ciri khas tertentu salah satunya batik Pekalongan.
FRISNANDA ADITYA
core  

Haralick texture features are calculated from the gray-level co-occurrence matrix (GLCM).

open access: yes, 2019
Example of how the GLCM is calculated for a given 4x4 pixel image (a) with the corresponding numerical gray-level pixel intensities (b) is shown here. GLCM is computed by going in horizontal direction with one pixel separation and recording the number of
Diane M. Twickler (6250856)   +6 more
core   +1 more source

Measuring the Hall Effect in Hysteretic Materials

open access: yesAdvanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya   +6 more
wiley   +1 more source

Morphological granulometry for classification of evolving and ordered texture images. [PDF]

open access: yes, 2011
In this work we investigate the use of morphological granulometric moments as texture descriptors to predict time or class of texture images which evolve over time or follow an intrinsic ordering of textures.
Gray, Alison   +2 more
core   +2 more sources

Klasifikasi Kualitas Buah SawitMenggunakan Metode Gray Level Co-occurrence Matrix Dengan Variasi Arah Obyek [PDF]

open access: yes
The harvest of fresh fruit bunches (FFB) from palm fruit is done with fruit that is of good quality, namely fruit that is dark red in color or has lots of knots, so that the quality of the palm oil produced increases.
Toyib, Rozali   +3 more
core   +1 more source

Ionic Gating of Liquid‐Crystal‐Like Pteridine Assemblies Enables Tunable Light Scattering

open access: yesAdvanced Materials, EarlyView.
Tunable optical properties emerge through developmentally regulated ionic gating, which transforms disordered, ultraviolet (UV)‐absorbing organelles into concentrically ordered, liquid‐crystal‐like light scatterers. By integrating analyses of pteridine composition, potassium‐dependent assembly, hierarchical ultrastructure, and optical behavior, the ...
Sourabh Bera   +22 more
wiley   +1 more source

TEMU KEMBALI CITRA BERBASIS KONTEN MENGGUNAKAN FITUR FORWARD DIAGONAL MEAN DAN GRAY LEVEL CO-OCCURRENCE MATRIX DENGAN STRUKTUR DATA R*-TREE [PDF]

open access: yes, 2012
TEMU KEMBALI CITRA BERBASIS KONTEN MENGGUNAKAN FITUR FORWARD DIAGONAL MEAN DAN GRAY LEVEL CO-OCCURRENCE MATRIX DENGAN STRUKTUR DATA R*-TREE - TKCBK, Forward Diagonal Mean, GLCM, R ...
D. Santika, Diaz, SETIAWAN, DANIEL
core  

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