We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
£113.66
Elsevier Machine and Deep Learning for Subsurface Geology
Price data checked 1 day ago
Price History & Forecast
Last 90 days • 90 data points
Price Distribution
Price distribution over 90 days • 1 price levels
Price Analysis
Most common price: £113 (90 days, 100.0%)
Price range: £113 - £113
Price levels: 1 different prices over 90 days
Description
Key Features
Covers the implementation of machine and deep learning techniques specifically for applied subsurface geological challenges.
Focuses on the development and use of prediction models that leverage well-log information for better geological insights.
Provides technical guidance on interpreting complex data within the context of subsurface geological problems.
Published by Elsevier to ensure high-quality academic and professional standards for technical readers.
Supports advanced study in operational research and the application of data science to geological environments.
Product Specifications
- Brand
- Elsevier
- Format
- paperback
- ASIN
- 0443265100
- Domain
- Amazon UK
- Release Date
- 24 February 2025
- Listed Since
- 24 July 2024
Barcode
No barcode data available
Similar Products You Might Like
Elsevier Machine Learning in Geohazard Risk Prediction Book
Elsevier
Springer - Deep Learning for Seismic Data Enhancement
Springer
Deep Learning for Seismic Data Enhancement and Representation (Advances in Oil and Gas Exploration & Production)
Springer
Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications
Elsevier
Deep Learning: From Algorithmic Essence to Industrial Practice
Elsevier
Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids: Deformation, Fracture, and Fatigue
Elsevier
Applications of Deep Machine Learning in Future Energy Systems
Elsevier
Elsevier Deep Learning for Earth Observation and Climate Monitoring
Elsevier
Springer - InSAR and Deep Learning in Landslides Research
Springer
Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering)
Deep Learning for Synthetic Aperture Radar Remote Sensing
The Application of Machine Learning in Geotechnical Engineering
Machine Learning for Data-Centric Geotechnics (Challenges in Geotechnical and Rock Engineering)
CRC Press
Elsevier Advances in Computational Geomechanics Book
Elsevier
Sustainability in Geology and Mining: Cutting-Edge Methods and Technologies
Elsevier
Elsevier Quantitative Geomorphology in the AI Era Book
Elsevier
Land and Water Resources Management Using Machine Learning and Geospatial Techniques (Developments in Environmental Science)
Elsevier
Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications
Elsevier
Machine Learning and AI for Advanced Experimental Mechanics and Materials Design
Elsevier
Application of Machine Learning in Slope Stability Assessment
Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering)
CRC Press
Introduction to Mining Geostatistics: Intuitive Applications With Excel and R
Elsevier
Thermal Plugging of Oil and Gas Wells: Modelling, Simulation, and Experiments
Elsevier
Hydrological Insights: Synergizing Groundwater Models, Remote Sensing, and AI for Water Sustainability
Elsevier