Results 1 to 10 of about 3,798 (136)

A hybrid path planning algorithm combining A* and improved ant colony optimization with dynamic window approach for enhancing energy efficiency in warehouse environments [PDF]

PeerJ Computer Science
This research presents a novel hybrid path planning algorithm combining A*, ant colony optimization (ACO), and the dynamic window approach (DWA) to enhance energy efficiency in warehouse environments.
Mingyu Wu, Eileen Lee Ming Su, Che Fai Yeong, Bowen Dong, William Holderbaum, Chenguang Yang   +5 more
doaj   +3 more sources

Moderate wine consumption and cancer risk in context

BIO Web of Conferences, 2023
There is no doubt that excessive consumption of alcoholic beverages and binge drinking patterns increase the risk for cancer and many other diseases.
Fradera Ursula, Hammer Claudia
doaj   +1 more source

Optimized feature selection assists lithofacies machine learning with sparse well log data combined with calculated attributes in a gradational fluvial sequence

Artificial Intelligence in Geosciences, 2022
Machine learning (ML) to predict lithofacies from sparse suites of well-log data is difficult in laterally and vertically heterogeneous reservoir formations in oil and gas fields.
David A. Wood
doaj   +1 more source

Net ecosystem carbon exchange prediction and insightful data mining with an optimized data-matching algorithm

Ecological Indicators, 2021
Net ecosystem carbon exchange (NEE) measures the carbon interchanges between the Earth’s biosphere and atmosphere. NEE datasets for two northern European sites (730 and 413 data records) incorporating twenty-two meteorological and environmental data ...
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

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

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