Results 71 to 80 of about 1,500,611 (328)

Regional and sub-basin tropical cyclone activity in the CMCC seasonal prediction system 3.5

open access: yesEnvironmental Research Letters
Reliable sub-basin seasonal forecasts of tropical cyclone (TC) activity are fundamental in helping stakeholders make informed decisions and minimize economic and societal losses.
Giacomo Giuliani   +5 more
doaj   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

Image clustering using exponential discriminant analysis

open access: yesIET Computer Vision, 2015
Local learning based image clustering models are usually employed to deal with images sampled from the non‐linear manifold. Recently, linear discriminant analysis (LDA) based various clustering models were proposed.
Nasir Ahmed
doaj   +1 more source

Hybrid self-optimized clustering model based on citation links and textual features to detect research topics. [PDF]

open access: yesPLoS ONE, 2017
The challenge of detecting research topics in a specific research field has attracted attention from researchers in the bibliometrics community. In this study, to solve two problems of clustering papers, i.e., the influence of different distributions of ...
Dejian Yu   +4 more
doaj   +1 more source

Regularization and optimization in model-based clustering

open access: yesPattern Recognition
Due to their conceptual simplicity, k-means algorithm variants have been extensively used for unsupervised cluster analysis. However, one main shortcoming of these algorithms is that they essentially fit a mixture of identical spherical Gaussians to data that vastly deviates from such a distribution. In comparison, general Gaussian Mixture Models (GMMs)
Raphael Araujo Sampaio   +3 more
openaire   +2 more sources

Model-based Bayesian clustering (MBBC) [PDF]

open access: yesBioinformatics, 2008
Abstract Motivation: The program MBBC 2.0 clusters time–course microarray data using a Bayesian product partition model. Results: The Bayesian product partition model in Booth et al. (2007) simultaneously searches for the optimal number of clusters, and assigns cluster memberships based on temporal changes of gene ...
Yongsung Joo   +3 more
openaire   +2 more sources

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Improved LRFM model for clustering based on particle swarm optimization algorithm and K-means clustering [PDF]

open access: yesمطالعات مدیریت کسب و کار هوشمند
The effort of this article is to solve one of the main problems in the field of banking, which is closely related to the field of information technology.
Mohammad Kazemi   +2 more
doaj   +1 more source

Neural network-based clustering model of ischemic stroke patients with a maximally distinct distribution of 1-year vascular outcomes

open access: yesScientific Reports, 2022
Clustering stroke patients with similar characteristics to predict subsequent vascular outcome events is critical. This study aimed to compare several clustering methods, particularly a deep neural network-based model, and identify the best clustering ...
Joon-Tae Kim   +8 more
doaj   +1 more source

Model-based longitudinal clustering with varying cluster assignments

open access: yesStatistica Sinica, 2017
It is often of interest to perform clustering on longitudinal data, yet it is difficult to formulate an intuitive model for which estimation is computationally feasible. We propose a model-based clustering method for clustering objects that are observed over time.
Sewell, Daniel K.   +3 more
openaire   +2 more sources

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