Results 41 to 50 of about 25,142 (174)
Reciprocal control of viral infection and phosphoinositide dynamics
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Background This paper presents an optimized clustering approach applied to image segmentation. Accurate image segmentation impacts many fields like medical, machine vision, object detection.
Elie Abboud, Issam Dagher
doaj +1 more source
Spectra of Local Cluster Flows on Open Chain of Contours
A dynamical system is considered. This dynamical system is a flow of clusters with the same length $l$ on contours of unit length connected into open chain. A similar system such that contours of this system are connected into closed chain was considered earlier.
Alexander Pavlovich Buslaev +1 more
openaire +2 more sources
The power of SNP association studies to detect valid relationships with clinical phenotypes in schizophrenia is largely limited by the number of SNPs selected and non-specificity of phenotypes. To address this, we first assessed performance on two visual
Jamie Joseph +2 more
doaj +1 more source
Accurately identifying the boundary of urban clusters is a crucial aspect of studying the development of urban agglomerations. This process is essential for comprehending and optimizing smart and compact urban development.
Gaoyuan Wang +3 more
doaj +1 more source
Fault line selection method for coal mine power grid based on RCMDE and KFCM
It is difficult to accurately select the fault line when the single-phase ground fault occurs in the coal mine power grid with the widely used resonant grounding system.
HAN Guoguo +4 more
doaj +1 more source
Contour Grouping by Clustering with Multi-feature Similarity Measure [PDF]
Contour grouping is a key task in computer vision domain. It extracts the meaningful objects information from low-level image features and provides the input for the further processing. There have been many techniques proposed over the decades. As a useful data analysis method in machine learning, clustering is a natural way for doing the grouping task.
Xue Bai, Siwei Luo, Qi Zou, Yibiao Zhao
openaire +1 more source
Automated system by cell counting and classifying in sugarcane suspension
The quantity and types (embryogenic and non-embryogenic) of cells are very important parameters to evaluate plant cell suspension growth for determine the best suspension to obtaining plant regeneration by somatic embryogenesis.
Evelio Báez Pérez
doaj
Extracting stable features to enhance object representation has proved to be very effective in improving the performance of object tracking. To achieve this, mining techniques, such as K-means clustering and data associating, are often adopted.
Hong Lu, Ke Gu, Weisi Lin, Wenjun Zhang
doaj +1 more source
MULTIDIRECTIONAL BUILDING DETECTION IN AERIAL IMAGES WITHOUT SHAPE TEMPLATES [PDF]
The aim of this paper is to exploit orientation information of an urban area for extracting building contours without shape templates. Unlike using shape templates, these given contours describe more variability and reveal the fine details of the ...
A. Manno-Kovacs +2 more
doaj +1 more source

