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Advances in Computational Intelligence Applications in the Mining Industry

This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and adv...

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Bibliographic Details
Main Author: Ganguli, Rajive
Other Authors: Dessureault, Sean, Rogers, Pratt
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Machine Learning
Classification And Regression Tree
Data Analytics In Mining
Mining Geology
Petrographic Analysis
Fragmentation
Unstructured Data
Underground Mine
Digital Twin
Non-additivity
Grinding Circuits
Random Forest Model
History Of Engineering & Technology / Bicssc
Mining Exploitation
Discrete Event Simulation
Point Cloud Scaling
Truck Dispatching
Damage Risk Analysis
Technology: General Issues / Bicssc
Mining Equipment Uncertainties
Gaussian Naïve Bayes
Narratives
Neighbourhood Component Analysis
Naive Bayes
Ball Mill Throughput
Bitumen Extraction
Hyperspectral Imaging
Health And Safety Management
Bayesian Network Structure Learning (bnsl)
Image Analysis
Convolutional Neural Networks
Decision Trees
Oil Sands
Support Vector Machine
Modes Of Operation
Rock Type
Masonry Buildings
Mine Optimization
Accidents
Measurement While Drilling
Transport Time
Mine Safety And Health
Natural Language Processing
Variable Importance
Epithermal Gold
Geological Uncertainty
Fragmentation Size Analysis
Partial Least Squares Regression
Mining
Random Forest
Random Forest Algorithm
Multispectral Imaging
K-nearest Neighbors
N/a
Coal
Operational Data
Transport Route
Blast Impact
Tactical Geometallurgy
Knowledge Discovery
Multivariate Statistics
Mine-to-mill
Geostatistics
Bitumen Processability
Orebody Uncertainty
Dimensionality Reduction
Mine Worker Fatigue
Mineral Prospectivity Mapping
Bayesian Network
Stockpiles
Q-learning
Empirical Model
Artificial Intelligence
Semantic Segmentation
Minerals Processing
Random Forest Classification
Ore Control
Bluetooth Beacon
Macerals
Structure From Motion
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (324 p.)
ISBN:9783036531588
9783036531595
books978-3-0365-3158-8

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