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   Articles with "three machine" as a keyword



Targeting neurodegeneration: three machine learning methods for G9a inhibitors discovery using PubChem and scikit-learn

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recommendations! Published in 2025 at "Journal of Computer-Aided Molecular Design"

DOI: 10.1007/s10822-025-00642-z

Abstract: In light of the increasing interest in G9a’s role in neuroscience, three machine learning (ML) models, that are time efficient and cost effective, were developed to support researchers in this area. The models are based… read more here.

Keywords: pubchem; scikit learn; three machine; machine learning ... See more keywords

A Branch and Bound Algorithm for Three-Machine Flow Shop with Overlapping Waiting Time Constraints

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recommendations! Published in 2017 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2017.08.391

Abstract: Abstract This paper focuses on a three-machine flow shop scheduling problem with overlapping waiting time constraints for makespan minimization. In the problem, waiting times of each job between the first two machines and between the… read more here.

Keywords: time constraints; waiting time; overlapping waiting; time ... See more keywords

A note on “On three-machine flow shop scheduling with deteriorating jobs”

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recommendations! Published in 2017 at "International Journal of Production Economics"

DOI: 10.1016/j.ijpe.2017.06.011

Abstract: Abstract In the recent paper (L. Wang, L.Y. Sun, L.H. Sun, J.B. Wang, On three-machine flow shop scheduling with deteriorating jobs, International Journal of Production Economics 2010, 125, 185–189), a branch and bound algorithm with… read more here.

Keywords: flow shop; shop scheduling; deteriorating jobs; machine flow ... See more keywords

Systematic Selection of Age-Associated mRNA Markers and the Development of Predicted Models for Forensic Age Inference by Three Machine Learning Methods

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recommendations! Published in 2022 at "Frontiers in Genetics"

DOI: 10.3389/fgene.2022.924408

Abstract: Aging is usually accompanied by the decline of physiological function and dysfunction of cellular processes. Genetic markers related to aging not only reveal the biological mechanism of aging but also provide age information in forensic… read more here.

Keywords: age associated; machine learning; age; predicted models ... See more keywords

Identifying feature genes of chickens with different feather pecking tendencies based on three machine learning algorithms and WGCNA

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recommendations! Published in 2024 at "Frontiers in Veterinary Science"

DOI: 10.3389/fvets.2024.1508397

Abstract: Feather pecking (FP) is a significant welfare concern in poultry, which can result in reduced egg production, deterioration of feather condition, and an increase in mortality rate. This can harm the health of birds and… read more here.

Keywords: three machine; feature genes; machine learning; feather pecking ... See more keywords