Results 101 to 110 of about 766,173 (279)

Implementasi Metode Gray Level Co-occurrence Matrix dalam Identifikasi Jenis Daun Tengkawang

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2018
Tengkawang or known as Borneo tallow nut is now difficult to find due to unsustainable forestry practices and high levels of forest destruction. The method used in this research was pattern recognition.
Rahmat Robi Waliyansyah   +2 more
doaj   +1 more source

Rafting of Ni‐Based Superalloys Under Multiaxial Load as Understood by Phase‐Field Simulations and Critical Experiments

open access: yesAdvanced Engineering Materials, EarlyView.
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan   +5 more
wiley   +1 more source

Evolution of Metal Surface Topography during Fatigue

open access: yesMetals, 2017
Changes in surface topography reflect the state of fatigue damage. In this paper, a new method to characterize metal surface topography during fatigue has been proposed. Firstly, we acquired surface topography images based on machine vision and separated
Darong Zhu   +4 more
doaj   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

open access: yesAdvanced Engineering Materials, EarlyView.
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

Optimised feature selection-driven convolutional neural network using gray level co-occurrence matrix for detection of cervical cancer. [PDF]

open access: yesOpen Life Sci, 2023
Sudhakar K   +7 more
europepmc   +1 more source

Contour Co-occurrence Matrix – A Novel Statistical Shape Descriptor [PDF]

open access: yes, 2005
In this paper a novel statistical shape feature called the Contour Co-occurrence Matrix (CCM) is proposed for image classification and retrieval. The CCM indicates the joint probability of contour directions in a chain code representation of an object's contour.
Rami Rautkorpi, Jukka Iivarinen
openaire   +1 more source

Menghitung Jumlah Orang dengan Ekstraksi Fitur Gray Level Co-occurrence Matrix (GLCM) [PDF]

open access: yes
Menghitung jumlah orang memiliki peranan penting dalam beberapa bidang contohnya dalam bidang bisnis. Jumlah orang sangat dibutuhkan untuk membandingkan jumlah pengunjung yang datang pada suatu tempat dengan tempat lain.
Alamsyah, Derry   +3 more
core  

Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading

open access: yesAdvanced Engineering Materials, EarlyView.
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley   +1 more source

Image spam identification method based on gray-gradient co-occurrence matrix

open access: yesTongxin xuebao, 2013
In order to avoid the detection of the spam system based on text,more and more spammers have embedded text information into the image.An image spam identification method based on gray-gradient co-occurrence matrix (GGCM) was proposed to detect image spam
Bing FENG, Zhi-tang LI, Gang-lu HUA
doaj   +2 more sources

Second-order texton feature extraction and pattern recognition of building polygon cluster using CNN network

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
The cluster patterns of features in map space represent a comprehensive reflection of individual feature geometric attributes and their spatial adjacency relationships.
Pengcheng Liu, Ziqin Shao, Tianyuan Xiao
doaj   +1 more source

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