Machine Learning and Artificial Intelligence in Geosciences

This book PDF is perfect for those who love Science genre, written by Anonim and published by Academic Press which was released on 22 September 2020 with total hardcover pages 318. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine Learning and Artificial Intelligence in Geosciences books below.

Machine Learning and Artificial Intelligence in Geosciences
Machine Learning and Artificial Intelligence in Geosciences
Author : Anonim
File Size : 52,6 Mb
Publisher : Academic Press
Language : English
Release Date : 22 September 2020
ISBN : 9780128216842
Pages : 318 pages
Get Book

Machine Learning and Artificial Intelligence in Geosciences by Anonim Book PDF Summary

Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. Provides high-level reviews of the latest innovations in geophysics Written by recognized experts in the field Presents an essential publication for researchers in all fields of geophysics

Machine Learning and Artificial Intelligence in Geosciences

Machine Learning and Artificial Intelligence in Geosciences by Anonim

Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various

Get Book
Deep Learning for the Earth Sciences

Deep Learning for the Earth Sciences by Gustau Camps-Valls,Devis Tuia,Xiao Xiang Zhu,Markus Reichstein

DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the

Get Book
Artificial Intelligence in Earth Science

Artificial Intelligence in Earth Science by Ziheng Sun,Nicoleta Cristea,Pablo Rivas

Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive, step-by-step guide to AI workflows for solving problems in Earth Science. The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure

Get Book
Large Scale Machine Learning in the Earth Sciences

Large Scale Machine Learning in the Earth Sciences by Ashok N. Srivastava,Ramakrishna Nemani,Karsten Steinhaeuser

From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone

Get Book
Application of Soft Computing Machine Learning Deep Learning and Optimizations in Geoengineering and Geoscience

Application of Soft Computing Machine Learning Deep Learning and Optimizations in Geoengineering and Geoscience by Wengang Zhang,Yanmei Zhang,Xin Gu,Chongzhi Wu,Liang Han

This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering

Get Book
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing by Hyung-Sup Jung,Saro Lee

As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM)

Get Book
Advances and applications of artificial intelligence in geoscience and remote sensing

Advances and applications of artificial intelligence in geoscience and remote sensing by Peng Zhenming,Sanyi Yuan,Xiaolan Qiu,Wenjuan Zhang,Anna Sowizdzal

Download or read online Advances and applications of artificial intelligence in geoscience and remote sensing written by Peng Zhenming,Sanyi Yuan,Xiaolan Qiu,Wenjuan Zhang,Anna Sowizdzal, published by Frontiers Media SA which was released on 2023-08-30. Get Advances and applications of artificial intelligence in geoscience and remote sensing

Get Book
A Primer on Machine Learning in Subsurface Geosciences

A Primer on Machine Learning in Subsurface Geosciences by Shuvajit Bhattacharya

This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics,

Get Book