Results 51 to 60 of about 261,223 (281)

Statistical Modelling by Topological Maps of Kohonen for Classification of the Physicochemical Quality of Surface Waters of the Inaouen Watershed Under Matlab

Journal of Nigerian Society of Physical Sciences, 2022
Self-organizing maps (SOMs) and other artificial intelligence approaches developed by Kohonen can be used to model and solve environmental challenges. To emphasize the classification of Physico-chemical parameters of the Inaouen watershed, we presented ...
RACHID EL CHAAL, M. O. Aboutafail
doaj   +1 more source

Analysis of Data Clusters Obtained by Self-Organizing Methods

, 2004
The self-organizing methods were used for the investigation of financial market. As an example we consider data time-series of Dow Jones index for the years 2002-2003 (R. Mantegna, cond-mat/9802256).
B.Yo Datsko, Campbell, Cox, J Izmaylova, Kohonen, Kohonen, Lillo, Madala, Muller, Refenes, V.V Gafiychuk   +10 more
core   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Visual analysis of self-organizing maps

Nonlinear Analysis, 2011
In the article, an additional visualization of self-organizing maps (SOM) has been investigated. The main objective of self-organizing maps is data clustering and their graphical presentation.
Pavel Stefanovič, Olga Kurasova
doaj  

Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets [PDF]

, 2017
Although it is not a novel topic, pattern recognition has become very popular and relevant in the last years. Different classification systems like neural networks, support vector machines or even complex statistical methods have been used for this ...
Domínguez Morales, Juan Pedro, Domínguez Morales, Manuel Jesús, Gutiérrez Galán, Daniel, Jiménez Fernández, Ángel Francisco, Linares Barranco, Alejandro, Ríos Navarro, José Antonio, Tapiador Morales, Ricardo   +6 more
core   +1 more source

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

FEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas, Porter L. Tomsick, Alicia M. Pickrell, Paul D. Morton   +3 more
wiley   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

FEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

Chemotaxonomy of three genera of the annonaceae family using self-organizing maps and 13C NMR data of diterpenes

Química Nova, 2012
The Annonaceae family is distributed throughout Neotropical regions of the world. In Brazil, it covers nearly all natural formations particularly Annona, Xylopia and Polyalthia and is characterized chemically by the production of sources of terpenoids ...
Luciana Scotti, Josean Fechine Tavares, Marcelo Sobral da Silva, Emanuela Viana Falcão, Luana de Morais e Silva, Gabriela Cristina da Silva Soares, Marcus Tullius Scotti   +6 more
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

HLS-Based Large Scale Self-Organizing Feature Maps

IEEE Access
The Self-Organizing Map (SOM) algorithm is a clustering algorithm used in a wide variety of application domains. Over the last few decades, it has been accelerated using various hardware architectures, including FPGAs, CPUs, and GPUs.
Florian Porrmann, Jens Hagemeyer, Mario Porrmann   +2 more
doaj   +1 more source