"A Balkema book."

General aspects of digital transformation in mining The so-called "Green Paradox" A.B. Bendiek and M.P. Bendiek Digital technology trends and their implementation in the mining industry L. Barnewold Virtual reality mine: A vision for digitalised mining engineering education R. Suppes, Y. Feldmann, A. Abdelrazeq and L. Daling Investing in engineering, research and education in Africa to derive a roadmap for ensuring local digital mining success W. Assibey-Bonsu The application of correlation models for the analysis of market risk factors in KGHM capital group Ł. Bielak, P. Miśta, A. Michalak and A. Wyłomańska Improvement of investment processes in mining company by implementation of project management system M. Wach and I. Chomiak-Orsa Resource estimation and geostatistics An approach for drilling pattern simulation G. Usero, S. Misk and A. Saldanha Application of Locally Varying Anisotropy (LVA) kriging at the Grasberg porphyry Cu-Au-Ag deposit, Papua, Indonesia A. Issel, A. Schwarz, K. Moss and R. Rossi Multivariate geostatistical simulation using principal component analysis M. Bolgkoranou and J.M. Ortiz Application of ASTER multispectral data and hyperspectral spectroscopy for phosphate exploration N. Mezned, A. Fatnassi and S. Abdeljaouad Multivariate Gaussian process for distinguishing geological units using measure while drilling data K.L. Silversides and A. Melkumyan Machine learning classification of geochemical and geophysical data L. Huang, M. Balamurali and K.L. Silversides Covariance table and PPMT: Spatial continuity mapping of multiple variables J. Kloeckner, C.Z. da Silva and J.F.C.L. Costa Optimal drill hole spacing for resource classification M. Nowak and O. Leuangthong Geostatistical simulation with heterotopic soft data without the LMC C.P. Araújo, M.A.A. Bassani and J.F.C.L. Costa Application of localized multivariate uniform conditioning and conditional simulation for a stockwork niobium deposit L. Bertossi, D. Raposo, J. Watanabe, S. Silva and G. Usero MILP framework for open pit and underground mining transitions evaluation B.O. Afum and E. Ben-Awuah Multi-collocated cokriging: An application to grade estimation in the mining industry N. Madani Recursive convolutional neural networks in a multiple-point statistics framework S. Avalos and J.M. Ortiz Grade estimation in a tabular deposit using unstructured grids M.A.A. Bassani, C.P. Araújo and J.F.C.L. Costa Influence of drilling spacing on the mineral resources uncertainty C.J.E. Silva, M.A.A. Bassani and J.F.C.L. Costa Evolving estimation techniques for an evolving world class stratiform copper deposit at Kamoa-Kakula, Democratic Republic of the Congo G. Gilchrist Critical review of mineral resource classification techniques in the gold mining industry S.K.A. Owusu and K. Dagdelen Transforming exploration data through machine learning I.W.S. Whitehouse and W. Slabik Rock mass characterization using MWD data and photogrammetry S. Manzoor, S. Liaghat, A. Gustafson, D. Johansson and H. Schunnesson Ore grade prediction using informative features of MWD data S. Liaghat, A. Gustafson, D. Johansson and H. Schunnesson Recoverable resource estimation mixing different quality of data C.R.O. Mariz, A. Prior and J. Benndorf Declustering weights as a measure of average sample spacing, applications in mineral resource classification D.E. Hulse and R.C. Bryan Mine planning in digital transformation Multi stage dumping sequence--a new approach for waste disposal B.T. Kuckartz and R.L. Peroni Parametric analysis of the optimal depth of an open-pit gold mine R. Motta, C. Porto, D. Machado and O.C. Souto A procedure to generate optimized ramp designs using mathematical programming N. Espejo, P. Nancel-Penard and N. Morales Break line and shotpile surfaces modeling in design of large-scale blasts S.V. Lukichev, O.V. Nagovitsyn and A.S. Shishkin Incorporation of mineralisation risk into underground mine planning R.C. Rosado, J.F.C.L. Costa and A.A. Saldanha Economic optimization of rib pillars placement in underground mines A.B. Andrade, A.R.C. Faria and P.C.B. Rampazzo Performance assessment of antithetic random fields in a stochastic mine planning model G. Nelis, N. Morales and J.M. Ortiz A data science model on production level pillar stability at El Teniente mine R.J. Quevedo, R.F. Quezada, R.A. Zepeda, S.A. Balboa, J.P. Vargas and S.A. Pérez Incorporating grade uncertainty into sublevel stope sequencing Y.A. Sari and M. Kumral A spatial clustering algorithm for orebody classification and boundary setting S. Li, Y.A. Sari and M. Kumral Underground mine planning optimization process to improve values and reduce risks H.H. Wang Application of a digital model of deposit in Polish hard coal mines on the example of Polish Mining Group Limited V. Sokoła-Szewioła and M. Poniewiera Scheduling and dispatch Improvements in plan-driven truck dispatching systems for surface mining M. Samavati, A.W. Palmer, A.J. Hill and K.M. Seiler Short-term production scheduling of multiple mines using genetic algorithms P. Pathak and B. Samanta A two-stage solution approach for a shift scheduling problem with a simultaneous assignment of machines and workers C. Seifi, M. Schulze and J. Zimmermann Understanding plan's priorities: Short term scheduling optimization A.B. Andrade and P.C.B. Rampazzo Simulation and optimization framework for evaluating the mining operations A. Moradi Afrapoli and H. Askari-Nasab Framework of optimal operational indices for the open pit mines production scheduling problems M.R. Moghaddam and E. Moosavi Mine schedule optimization and mine operational realities: Bridging the gap A. Chowdu, M. Goycoolea and A. Brickey Optimization model for rostering and crew assignment for train transportation J. Amaya, E. Molina, N. Morales and P. Uribe Generating pushbacks using direct block mine production scheduling algorithm C. Aras, K. Dagdelen and T. Johnson Industrial internet of things and gamification applied to fleet and personnel management S. Dessureault Short-term open-pit mine production scheduling with hierarchical objectives F. Manríquez, H. González and N. Morales Mine operation and equipment A deep learning approach for automated quality control of iron ores A.K. Gorai, B.C. Balusa and U. Sameer Comparison between regression models and neural networks applied to forecast geometallurgical variables F.G.F. Niquini and J.F.C.L. Costa The simulation of the excavation sites of coal mines K.N. Kopylov, S.S. Kubrin and D.I. Blokhin An operational data based framework for longwall shearer performance measurement E. Yilmaz and M. Erkayaoglu The digital mine eco-system W.A.S. Fourie Application of DEM-FEM methods in tests of loads on idlers B. Doroszuk, R. Król and L. Gładysiewicz Comprehensive, experimental verification of the effects of the lock-up function implementation in LHD haul trucks in the deep underground mine T. Kaniewski, P. Śliwiński, J. Hebda-Sobkowicz and R. Zimroz Analysis of dynamic external loads to haul truck machine subsystems during operation in a deep underground mine P. Śliwiński, T. Kaniewski, J. Hebda-Sobkowicz, R. Zimroz and A. Wylomańska Selection of variables acquired by the on-board monitoring system to determine operational cycles for haul truck vehicle P. Śliwiński, M. Andrzejewski, T. Kaniewski, J. Hebda-Sobkowicz and R. Zimroz An integrated simulation model for opportunistic maintenance O. Golbasi, M. Olmez Turan and C. Karpuz Approach of mining equipment performance with simulation of the use of autonomous trucks W.S. Felsch Jr., A.F. Oliveira and C.E.A. Ortiz Modelling and forecasting geometallurgical recovery at a phosphate mine L.B. Andrade, I.E. Cabral and J.F.C.L. Costa Artificial intelligence using real-time data L.-P. Campeau and M. Dubois LTE, 4G and 5G - Broadband mobile communications in mining applications W. Santos Development assumptions of a data and service management centre at KGHM S.A. P. Pyda, P. Stefaniak and H. Dudycz Mineberry--remote monitoring of abandoned shaft openings B. vom Berg, F. Schmachtenberger, B. von Gruchalla, F. Wollnik, S. Klaß, A. Koschare, S. Schnell and J. Schliebs Optimization of material logistics by using leading edge electronic Information and Communication Technologies (ICT) in underground coalmine M.T. Stöttner Mine safety in digital transformation Development of blast-induced ground vibration wireless monitoring system R. Prashanth and D.S.

Nimaje Increased safety in deep mining with IoT and autonomous robots F. Günther, H. Mischo, R. Lösch, S. Grehl and F. Güth Coupled CFD-DEM modelling of mine dust dispersion in underground roadway L. Tan and T. Ren Proximity detection of explosive methane clouds in longwall mines J.F. Brune, H.S. Düzgün, G.E. Bogin Jr., A. Juganda, C. Strebinger, T. Nguyen, E. Isleyen and C. Demirkanr Evaluation of trackless mobile machine collision management systems H.A. Hamersma, P.S. Els and C.E. Doran A sensitive carbon monoxide monitoring system for forecasting coal spontaneous combustion Z.W. Wang, Y.F. Li, T.T. Zhang, Y.B. Wei and T.Y. Liu Application of laser methane sensor in on-line monitoring of gas pipeline G.X. Jin, H. Meng, G.H. Jia, W.W. Wang, H. Zhang, Z.D. Shi, T.Y. Liu, C.X. Song and Y.N. Ning Fibre optic sensor for coal mine combustion detection T.Y. Liu, X.J. Meng, F.Q. Wang, R.C. Li, M.Y. Hou, Z.W. Wang, J. Hu, Y.F. Li, L.Z. Ma, Y.B. Wei and S.X. Zhang IoT and robotics Lithological hyperspectral characterization for UAV sensor selection F.S. Beretta, A.L. Rodrigues, R.L. Peroni, S.B. Rolim and J.F. Costa High-resolution modeling of open-pit slopes using UAV and photogrammetry R. Battulwar, J. Valencia, G. Winkelmaier, B. Parvin and J. Sattarvand Enhancement of explosive energy distribution using UAVs and machine learning J. Valencia, R. Battulwar, M. Zare Naghadehi and J. Sattarvand The concept of walking robot for mining industry B. Dębogórski, P. Sperzyński, M. Fiedeń, T. Ursel and A. Muraszkowski State-of-the-art mechatronic systems for mining developed in Poland D. Jasiulek, M. Malec, B. Po

The conferences on 'Applications for Computers and Operations Research in the Minerals Industry' (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in: - Geostatistics and Resource Estimation- Mine Planning- Scheduling and Dispatch - Mine Safety and Mine Operation- Internet of Things, Robotics- Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in Mining Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas.

OCLC-licensed vendor bibliographic record.