Results 61 to 70 of about 7,151,068 (329)

Time series clustering in large data sets

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011
The clustering of time series is a widely researched area. There are many methods for dealing with this task. We are actually using the Self-organizing map (SOM) with the unsupervised learning algorithm for clustering of time series.
Jiří Fejfar, Jiří Šťastný
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

A procedure for rule extraction from a Self-Organising plasma disruption predictor for JET

Scientific Reports
In a previous paper, a Self-Organizing Map had proven to be able to identify the regions of the plasma operative space characterizing the pre-disruptive phase at JET without relying on any a priori information.
Samuele Setzu, Enrico Aymerich, Alessandra Fanni, Fabio Pisano, Giuliana Sias, Barbara Cannas, The JET contributors, WPTE Team   +7 more
doaj   +1 more source

A Riemannian Self-Organizing Map [PDF]

, 2009
We generalize the classic self-organizing map (SOM) in flat Euclidean space (linear manifold) onto a Riemannian manifold. Both sequential and batch learning algorithms for the generalized SOM are presented. Compared with the classical SOM, the most novel feature of the generalized SOM is that it can learn the intrinsic topological neighborhood ...
Dongjun Yu, Edwin R. Hancock, William A. P. Smith   +2 more
openaire   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Saviorganizuojančių neuroninių tinklų sistemų lyginamoji analizė

Informacijos Mokslai, 2009
Straipsnyje nagrinėjamos ir lyginamos tarpusavyje trys saviorganizuojančių neuroninių tinklų (SOM) sistemos: NeNet, SOM-Toolbox ir Databionic ESOM. Pagrindinis šių sistemų tikslas yra suskirstyti duomenis į klasterius pagal jų panašumą, pateikti juos SOM
Pavel Stefanovič, Olga Kurasova
doaj   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

FEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

A self organizing map optimization based image recognition and processing model for bridge crack inspection

, 2017
The current deterioration inspection method for bridges heavily depends on human recognition, which is time consuming and subjective. This research adopts Self Organizing Map Optimization (SOMO) integrated with image processing techniques to develop a ...
Jieh-Haur Chen, Mu-Chun Su, R. Cao, Shu-Chien Hsu, Jing-Xia Lu   +4 more
semanticscholar   +1 more source

Self-Organization in Rome: a map

, 2018
During the last years many different researches regarding social spaces have been realized in Rome, sometimes containing different maps representing these experiences. Nevertheless, these processes are very dynamic and the situation of Rome changes every year. For this reason in November, 2017 we decided to realize, during the International Conference "
Chiara Cacciotti, BRIGNONE, LUCA
openaire   +1 more source