Results 51 to 60 of about 2,910,377 (176)

Enhancing genomic prediction with Stacking Ensemble Learning in Arabica Coffee

Frontiers in Plant Science
Coffee Breeding programs have traditionally relied on observing plant characteristics over years, a slow and costly process. Genomic selection (GS) offers a DNA-based alternative for faster selection of superior cultivars. Stacking Ensemble Learning (SEL)
Moyses Nascimento, Moyses Nascimento, Ana Carolina Campana Nascimento, Ana Carolina Campana Nascimento, Camila Ferreira Azevedo, Antonio Carlos Baiao de Oliveira, Eveline Teixeira Caixeta, Diego Jarquin   +7 more
doaj   +1 more source

Terahertz tunable optical dual-functional slow light reflector based on gold-graphene metamaterials

New Journal of Physics, 2020
Tunable terahertz optical dual-functional slow light reflector based on gold-graphene metamaterials has been designed and the proposed structure can achieve a good optical reflection effect and slow light effect.
Hui Xu, Zhiquan Chen, Zhihui He, Guozheng Nie, Deqiong Li   +4 more
doaj   +1 more source

Integrating Environmental Covariates into Adaptability and Stability Analyses: A Structural Equation Modeling Approach for Cotton Breeding

Agriculture
Breeding programs rely on genotype-by-environment interaction (GEI) to recommend cultivars for specific locations. GEI describes how different genotypes perform under varying environmental conditions.
Matheus Massariol Suela, Moysés Nascimento, Ana Carolina Campana Nascimento, Camila Ferreira Azevedo, Paulo Eduardo Teodoro, Francisco José Correia Farias, Luiz Paulo de Carvalho, Diego Jarquin   +7 more
doaj   +1 more source

Sophisticated Audio Source Separation: A Statistical Exploration of Clarity and Precision With FastICA

Engineering Reports
This study evaluates audio source separation with Fast Independent Component Analysis (FastICA) in a fully specified, reproducible pipeline and benchmarks it against Principal Component Analysis (PCA) and Nonnegative Matrix Factorization (NMF).
Md. Razu Ahmed, Jannatul Mauya, Md. Shamim Reza, Ruhul Amin   +3 more
doaj   +1 more source

Assessing the Impact of E-Commerce of a Footwear Vendor in Malaysia Through a Structural Equation Modeling Approach

World
Businesses are leveraging digital technology through e-commerce platforms as a strategy to continue operating following the movement control order (MCO).
Wan Nuraini Fahana Wan Nasir, Muhamad Safiih Lola, Abdul Aziz K. Abdul Hamid, Sharifah Sakinah Syed Abd Mutalib, Ribed Vianneca W. Jubilee, Nurul Hila Zainuddin, Akhmad Fauzy   +6 more
doaj   +1 more source

Parameter Learning of Logic Programs for Symbolic-Statistical Modeling

, 2011
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. definite clause programs containing probabilistic facts with a parameterized distribution.
Kameya, Y., Sato, T.
core   +2 more sources

Tectonic tremor and LFEs on a reverse fault in Taiwan

Geophysical Research Letters, 2017
We compare low‐frequency earthquakes (LFEs) from triggered and ambient tremor under the southern Central Range, Taiwan. We apply the PageRank algorithm used by Aguiar and Beroza (2014) that exploits the repetitive nature of the LFEs to find repeating ...
Ana C. Aguiar, Kevin Chao, Gregory C. Beroza   +2 more
doaj   +1 more source

The Missing Tailed Phages: Prediction of Small Capsid Candidates

Microorganisms, 2020
Tailed phages are the most abundant and diverse group of viruses on the planet. Yet, the smallest tailed phages display relatively complex capsids and large genomes compared to other viruses.
Antoni Luque, Sean Benler, Diana Y. Lee, Colin Brown, Simon White   +4 more
doaj   +1 more source

Encrypted statistical machine learning: new privacy preserving methods [PDF]

, 2015
We present two new statistical machine learning methods designed to learn on fully homomorphic encrypted (FHE) data. The introduction of FHE schemes following Gentry (2009) opens up the prospect of privacy preserving statistical machine learning analysis
Aslett, Louis J. M., Esperança, Pedro M., Holmes, Chris C.   +2 more
core  

Statistical inference and statistical learning in economic research – selected challenges

Ekonomista
This paper presents the main trends and the most important challenges related to the use of classical and modern statistical methods in economic research.
Krzysztof Jajuga, Józef Pociecha, Mirosław Szreder   +2 more
doaj   +1 more source