vi
Machine learning classification of geochemical and geophysical data
101
L. Huang, M. Balamurali & K.L. Silversides
Covariance table and PPMT: Spatial continuity mapping of multiple variables
106
J. Kloeckner, C.Z. da Silva & J.F.C.L. Costa
Optimal drill hole spacing for resource classification
115
M. Nowak & O. Leuangthong
Geostatistical simulation with heterotopic soft data without the LMC
125
C.P. Araújo, M.A.A. Bassani & J.F.C.L. Costa
Application of localized multivariate uniform conditioning and conditional
simulation for a stockwork niobium deposit
134
L. Bertossi, D. Raposo, J. Watanabe, S. Silva & G. Usero
MILP framework for open pit and underground mining transitions evaluation
144
B.O. Afum & E. Ben-Awuah
Multi-collocated cokriging: An application to grade estimation in the
mining industry
158
N. Madani
Recursive convolutional neural networks in a multiple-point statistics framework
168
S. Avalos & J.M. Ortiz
Grade estimation in a tabular deposit using unstructured grids
177
M.A.A. Bassani, C.P. Araújo & J.F.C.L. Costa
Influence of drilling spacing on the mineral resources uncertainty
184
C.J.E. Silva, M.A.A. Bassani & J.F.C.L. Costa
Evolving estimation techniques for an evolving world class stratiform copper
deposit at Kamoa-Kakula, Democratic Republic of the Congo
192
G. Gilchrist
Critical review of mineral resource classification techniques in the gold mining
industry
201
S.K.A. Owusu & K. Dagdelen
Transforming exploration data through machine learning
210
I.W.S. Whitehouse & W. Slabik
Rock mass characterization using MWD data and photogrammetry
217
S. Manzoor, S. Liaghat, A. Gustafson, D. Johansson & H. Schunnesson
Ore grade prediction using informative features of MWD data
226
S. Liaghat, A. Gustafson, D. Johansson & H. Schunnesson
Recoverable resource estimation mixing different quality of data
235
C.R.O. Mariz, A. Prior & J. Benndorf
Declustering weights as a measure of average sample spacing, applications
in mineral resource classification
246
D.E. Hulse & R.C. Bryan
Mine planning in digital transformation
Multi stage dumping sequence—a new approach for waste disposal
257
B.T. Kuckartz & R.L. Peroni
Machine learning classification of geochemical and geophysical data
101
L. Huang, M. Balamurali & K.L. Silversides
Covariance table and PPMT: Spatial continuity mapping of multiple variables
106
J. Kloeckner, C.Z. da Silva & J.F.C.L. Costa
Optimal drill hole spacing for resource classification
115
M. Nowak & O. Leuangthong
Geostatistical simulation with heterotopic soft data without the LMC
125
C.P. Araújo, M.A.A. Bassani & J.F.C.L. Costa
Application of localized multivariate uniform conditioning and conditional
simulation for a stockwork niobium deposit
134
L. Bertossi, D. Raposo, J. Watanabe, S. Silva & G. Usero
MILP framework for open pit and underground mining transitions evaluation
144
B.O. Afum & E. Ben-Awuah
Multi-collocated cokriging: An application to grade estimation in the
mining industry
158
N. Madani
Recursive convolutional neural networks in a multiple-point statistics framework
168
S. Avalos & J.M. Ortiz
Grade estimation in a tabular deposit using unstructured grids
177
M.A.A. Bassani, C.P. Araújo & J.F.C.L. Costa
Influence of drilling spacing on the mineral resources uncertainty
184
C.J.E. Silva, M.A.A. Bassani & J.F.C.L. Costa
Evolving estimation techniques for an evolving world class stratiform copper
deposit at Kamoa-Kakula, Democratic Republic of the Congo
192
G. Gilchrist
Critical review of mineral resource classification techniques in the gold mining
industry
201
S.K.A. Owusu & K. Dagdelen
Transforming exploration data through machine learning
210
I.W.S. Whitehouse & W. Slabik
Rock mass characterization using MWD data and photogrammetry
217
S. Manzoor, S. Liaghat, A. Gustafson, D. Johansson & H. Schunnesson
Ore grade prediction using informative features of MWD data
226
S. Liaghat, A. Gustafson, D. Johansson & H. Schunnesson
Recoverable resource estimation mixing different quality of data
235
C.R.O. Mariz, A. Prior & J. Benndorf
Declustering weights as a measure of average sample spacing, applications
in mineral resource classification
246
D.E. Hulse & R.C. Bryan
Mine planning in digital transformation
Multi stage dumping sequence—a new approach for waste disposal
257
B.T. Kuckartz & R.L. Peroni