Results 11 to 20 of about 25,142 (174)

Exploring Melodic Contour: A Clustering Approach

open access: yes, 2023
Previous studies investigating common melodic contour shapes have relied on methodologies that require prior assumptions regarding the expected contour patterns. Here, a new approach for examining contour using dimensionality reduction and unsupervised machine-learning clustering methods is presented. This new methodology was tested across four sets of
Michal Goldstein   +3 more
openaire   +1 more source

Active Contours Driven by Cellular Neural Networks for Image Segmentation in Biomedical Applications [PDF]

open access: yesRevista Română de Informatică și Automatică, 2021
This paper proposes a novel approach for image segmentation in the context of biomedical applications. The medical images considered for this analysis are both microarray images and images recorded from microfluidics devices. In case of microarray images,
Bogdan BELEAN
doaj   +1 more source

Experimental and numerical investigation of the origin of surface roughness in laser powder bed fused overhang regions

open access: yesVirtual and Physical Prototyping, 2021
Surface roughness of laser powder bed fusion (L-PBF) printed overhang regions is a major contributor to deteriorated shape accuracy/surface quality. This study investigates the mechanisms behind the evolution of surface roughness (Ra) in overhang regions.
Shaochuan Feng   +3 more
doaj   +1 more source

Theoretical study of structural and electronic properties of small GanNn clusters (n=1-10) and their isomers [PDF]

open access: yesشیمی کاربردی روز, 2016
In this study, structural and electronic properties of GanNn clusters (n=1-10) are investigated using formalism of density functional theory (DFT) and projector augmented plane waves (PAW) within VASP software package.
حیدرعلی شفیعی گل   +1 more
doaj   +1 more source

CONIC: Contour Optimized Non-Iterative Clustering Superpixel Segmentation

open access: yesRemote Sensing, 2021
Superpixels group perceptually similar pixels into homogeneous sub-regions that act as meaningful features for advanced tasks. However, there is still a contradiction between color homogeneity and shape regularity in existing algorithms, which hinders their performance in further processing.
Cheng Li   +7 more
openaire   +2 more sources

An Integrated Algorithm for Extracting Terrain Feature-Point Clusters Based on DEM Data

open access: yesRemote Sensing, 2022
Terrain feature points, such as the peaks and saddles, are the basic framework of surface topography and its undulations, which significantly affect the spatial distribution of surface topography.
Jinlong Hu   +4 more
doaj   +1 more source

Syllable structure in Old, Middle and Modern Persian: A contrastive analysis [PDF]

open access: yesIranian Journal of Applied Language Studies, 2015
Evolution of languages has always been of interest to linguists.  In this paper we study  the natural progress of the syllable structure from Old  Persian  (O.P)  to Middle Persian (Mi.P) and up to the Modern Persian (Mo.P).
Aliye Kord zaferanlu Kambuziya   +1 more
doaj   +1 more source

Spatio-temporal control of the phase separation of chemically active immotile colloids

open access: yesNational Science Open, 2023
Understanding and controlling phase separation in nonequilibrium colloidal systems are of both fundamental and applied importance. In this article, we investigate the spatiotemporal control of phase separation in chemically active immotile colloids.
Peng Yixin   +8 more
doaj   +1 more source

Corner Detection of Contour Images using Spectral Clustering [PDF]

open access: yes2007 IEEE International Conference on Image Processing, 2007
Corner detection plays an important role in object recognition and motion analysis. In this paper, we propose a hierarchical corner detection framework based on spectral clustering (SC). The framework consists of three stages: contour smoothing, corner cell extraction and corner localization.
Xi Li, Weiming Hu, Zhongfei Zhang
openaire   +1 more source

Entropy based automatic unsupervised brain intracranial hemorrhage segmentation using CT images

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
The present work proposes entropy based automatic unsupervised brain intracranial hemorrhage segmentation using CT images. The proposed work is consisting of fuzzy c-mean (FCM), automatic selection of cluster, skull removal, thresholding and edge-based ...
Indrajeet Kumar   +2 more
doaj   +1 more source

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