Ensemble‐based adaptive soft sensor for fault‐tolerant biomass monitoring
Sign Up to like & getrecommendations! Published in 2022 at "Engineering in Life Sciences"
DOI: 10.1002/elsc.202100091
Abstract: The accuracy and precision of soft sensors depend strongly on the reliability of underlying model inputs. These inputs (particularly readings of hardware sensors) are frequently subject to faults. This study aims to develop an adaptive… read more here.
Keywords: adaptive soft; ensemble based; biomass; soft sensor ... See more keywords
Accurate eQTL prioritization with an ensemble‐based framework
Sign Up to like & getrecommendations! Published in 2017 at "Human Mutation"
DOI: 10.1002/humu.23198
Abstract: We present a novel ensemble‐based computational framework, EnsembleExpr, that achieved the best performance in the Fourth Critical Assessment of Genome Interpretation expression quantitative trait locus “(eQTL)‐causal SNPs” challenge for identifying eQTLs and prioritizing their gene… read more here.
Keywords: framework; expression; accurate eqtl; ensemble based ... See more keywords
Ensemble‐based singular value decomposition analysis to clarify the causes of heavy rainfall
Sign Up to like & getrecommendations! Published in 2021 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.4020
Abstract: The complex relationships between rainfall amounts and their causes require further clarification through analytical research. This study utilizes ensemble‐based singular value decomposition (ESVD) analysis that decomposes the ensemble‐based cross‐covariance matrix between datasets related to atmospheric… read more here.
Keywords: analysis; rainfall; based singular; singular value ... See more keywords
Prediction of landslide displacement with an ensemble-based extreme learning machine and copula models
Sign Up to like & getrecommendations! Published in 2018 at "Landslides"
DOI: 10.1007/s10346-018-1020-2
Abstract: Research on the dynamics of landslide displacement forms the basis for landslide hazard prevention. This paper proposes a novel data-driven approach to monitor and predict the landslide displacement. In the first part, autoregressive moving average… read more here.
Keywords: machine; extreme learning; landslide displacement; displacement ... See more keywords
An ensemble-based model for predicting agile software development effort
Sign Up to like & getrecommendations! Published in 2018 at "Empirical Software Engineering"
DOI: 10.1007/s10664-018-9647-0
Abstract: To support agile software development projects, an array of tools and systems is available to plan, design, track, and manage the development process. In this paper, we explore a critical aspect of agile development i.e.,… read more here.
Keywords: story; effort; model; ensemble based ... See more keywords
Acoustic domain classification and recognition through ensemble based multilevel classification
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-1087-6
Abstract: To make the best use of speech recognition, it is imperative that it can recognize not just speech or speaker, but also the domain of communication. This paper proposes an approach for recognition of the… read more here.
Keywords: domain classification; acoustic domain; recognition; ensemble based ... See more keywords
Ensemble-based sensitivity analysis and predictability of an extreme rainfall event over northern Taiwan in the Mei-yu season: The 2 June 2017 case
Sign Up to like & getrecommendations! Published in 2021 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2021.105684
Abstract: Abstract In the present study, an ensemble-based sensitivity analysis (ESA) on the extreme-rainfall event along the northern coast of Taiwan on 2 June 2017 in the Mei-yu season is performed using the results from 45… read more here.
Keywords: taiwan; northern taiwan; based sensitivity; rainfall ... See more keywords
A comparative multivariate analysis of nitrilase enzymes: An ensemble based computational approach
Sign Up to like & getrecommendations! Published in 2019 at "Computational biology and chemistry"
DOI: 10.1016/j.compbiolchem.2019.107095
Abstract: Nitrilases, member of nitrilase superfamily catalyse the hydrolysis of different nitriles to corresponding amides and acids. In this article, we demonstrate two-fold computational comparative analysis on coding gene sequences, amino acid sequences, three-dimensional structure of… read more here.
Keywords: fungi plants; analysis; nitrilase enzymes; ensemble based ... See more keywords
A Least Squares Method for Ensemble-based Multi-objective Oil Production Optimization
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.06.347
Abstract: Abstract Despite a significant potential to improve industrial standards, practical applications of production optimization are impeded by geological uncertainty. As a mean to handle the associated financial risks, the oil literature has devised a range… read more here.
Keywords: least squares; multi objective; production optimization; optimization ... See more keywords
Characterizing viscoelastic materials via ensemble-based data assimilation of bubble collapse observations.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the mechanics and physics of solids"
DOI: 10.1016/j.jmps.2021.104455
Abstract: Viscoelastic material properties at high strain rates are needed to model many biological and medical systems. Bubble cavitation can induce such strain rates, and the resulting bubble dynamics are sensitive to the material properties. Thus,… read more here.
Keywords: bubble collapse; data assimilation; based data; material ... See more keywords
Ensemble-based constrained optimization using an exterior penalty method
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2021.109165
Abstract: Abstract In science and engineering, non-linear constrained optimization has been a useful mathematical technique for many practical applications. Of interest to us is its applicability in the modeling and prediction of hydrocarbon reservoir production. In… read more here.
Keywords: optimization; exterior penalty; problem; method ... See more keywords