Results 11 to 20 of about 25,657 (200)

Rundbrief / DWA-Landesverband Sachsen/Thüringen [PDF]

, 2022

core   +15 more sources

Integrated statistical and machine learning analysis provides insight into key influencing symptoms for distinguishing early‐onset type 2 diabetes

Chronic Diseases and Translational Medicine, 2022
Background Being able to predict with confidence the early onset of type 2 diabetes from a suite of signs and symptoms (features) displayed by potential sufferers is desirable to commence treatment promptly.
David A. Wood
doaj   +1 more source

Geomechanical brittleness index prediction for the Marcellus shale exploiting well-log attributes

Results in Engineering, 2023
Geomechanical brittleness of tight formations calculated from Poisson's Ratio with Young's Modulus requires laboratory testing of cores and/or estimation from shear wave acoustic logs.
David A. Wood
doaj   +1 more source

Enhancing lithofacies machine learning predictions with gamma-ray attributes for boreholes with limited diversity of recorded well logs

Artificial Intelligence in Geosciences, 2021
Derivative and volatility attributes can be usefully calculated from recorded gamma ray (GR) data to enhance lithofacies classification in wellbores penetrating multiple lithologies.
David A. Wood
doaj   +1 more source

Predicting saturated vapor pressure of LNG from density and temperature data with a view to improving tank pressure management

Petroleum, 2021
Determining the saturated vapor pressure (SVP) of LNG requires detailed thermodynamic calculations based on compositional data. Yet LNG compositions and SVPs evolve constantly for LNG stored in tanks.
David A. Wood
doaj   +1 more source

Predicting total organic carbon from few well logs aided by well-log attributes

Petroleum, 2023
Derivative/volatility well-log attributes from very few commonly recorded well logs can assist in the prediction of total organic carbon (TOC) in shales and tight formations.
David A. Wood
doaj   +1 more source

Prediction and data mining of burned areas of forest fires: Optimized data matching and mining algorithm provides valuable insight

Artificial Intelligence in Agriculture, 2021
An optimized data-matching machine learning algorithm is developed to provide high-prediction accuracy of total burned areas for specific wildfire incidents.
David A. Wood
doaj   +1 more source

The application of deep learning algorithms to classify subsurface drilling lost circulation severity in large oil field datasets

SN Applied Sciences, 2021
In this paper, we present how precise deep learning algorithms can distinguish loss circulation severities in oil drilling operations. Lost circulation is one of the costliest downhole problem encountered during oil and gas well construction.
Sajjad Mardanirad, David A. Wood, Hassan Zakeri   +2 more
doaj   +1 more source

Substrate‐Dependent Crosslinking by the Cytochrome P450 From Aminopyruvatide Biosynthesis

Angewandte Chemie, EarlyView.
Substitutions in the aminopyruvatide precursor peptide altered the C─C linkage formed from a YLY motif by the P450 ApyO to a N─C linkage in a WLY motif. Moreover, constitutional isomers crosslinked by C─C and C─O linkages were formed from YYY or YWY motifs. ABSTRACT Cytochrome P450s catalyze an array of reactions including crosslinking of aromatic side
Chandrashekhar Padhi, Dinh T. Nguyen, Lingyang Zhu, Lide Cha, Jesse W. Wald, Douglas A. Mitchell, Wilfred A. van der Donk   +6 more
wiley   +2 more sources

A Path-Planning Scheme for Autonomous Vehicle Navigation Integrating BJA* and Improved DWA Algorithms [PDF]

Sensors
Huacai Lu
exaly   +2 more sources