Results 61 to 70 of about 914,879 (290)

Evaluation of Nonparametric Decision Tree Models for Predicting Scour Depth of Bridges [PDF]

open access: yesمنابع آب و تغییر اقلیم
Objective: The complex nature of bridge pier scour and the influence of various parameters on its estimation highlight the necessity of using a comprehensive nonlinear model.
Rezvan Dalvand, Mehdi Komasi
doaj   +1 more source

Comparing the paths of Hedgehog release in artificial and natural settings

open access: yesFEBS Letters, EarlyView.
Hh morphogens require solubilization factors to overcome their tight association with the plasma membrane and signal to distant cells, but the precise functions of these factors are controversial. Here, we use published in vivo observations as the most relevant evidence to test their suggested functions and discuss contradictions and gaps between in ...
Janna Puschmann, Kay Grobe
wiley   +1 more source

Favorite Book Prediction System Using Machine Learning Algorithms

open access: yesJournal of Applied Engineering and Technological Science, 2023
Recent years have seen the rapid deployment of Artificial Intelligence (AI) which allows systems to take intelligent decisions. AI breakthroughs could radically change modern libraries' operations.
Dersin Daimari   +3 more
doaj   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

open access: yesMolecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński   +12 more
wiley   +1 more source

Modeling CO2 solubility in water using gradient boosting and light gradient boosting machine

open access: yesScientific Reports
The growing application of carbon dioxide (CO2) in various environmental and energy fields, including carbon capture and storage (CCS) and several CO2-based enhanced oil recovery (EOR) techniques, highlights the importance of studying the phase ...
Atena Mahmoudzadeh   +7 more
doaj   +1 more source

Wavelet Decomposition of Gradient Boosting

open access: yesCoRR, 2018
In this paper we introduce a significant improvement to the popular tree-based Stochastic Gradient Boosting algorithm using a wavelet decomposition of the trees. This approach is based on harmonic analysis and approximation theoretical elements, and as we show through extensive experimentation, our wavelet based method generally outperforms existing ...
Shai Dekel, Oren Elisha, Ohad Morgan
openaire   +2 more sources

Causal Gradient Boosting: Boosted Instrumental Variable Regression

open access: yesProceedings of the 23rd ACM Conference on Economics and Computation, 2022
Recent advances in the literature have demonstrated that standard supervised learning algorithms are ill-suited for problems with endogenous explanatory variables. To correct for the endogeneity bias, many variants of nonparameteric instrumental variable regression methods have been developed.
Edvard Bakhitov, Amandeep Singh
openaire   +2 more sources

Protocol for quantifying miRNA trafficking across the endosomal membrane

open access: yesFEBS Open Bio, EarlyView.
An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh   +2 more
wiley   +1 more source

Applicability of machine learning approaches for predicting the phase formation in complex concentrated alloys

open access: yesNext Materials
This work deals with the machine learning techniques used to build predictive models to determine the phases in complex concentrated alloys (CCAs). Two different approaches were employed to determine the presence of phases.
Kaven A.S.   +2 more
doaj   +1 more source

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu   +7 more
wiley   +1 more source

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