This book provides comprehensive research and explores the different applications of data science and machine learning in subsurface engineering....Loe edasi...
The aim of the book is to provide practical help for executives, managers and research and development teams to identify where and how to apply advanced data analytics in mining engineering. Extensive case studies worked examples and details of how...Loe edasi...
This book describes the fundamental and theoretical concepts of optimization algorithms, along with their potential applications and implementation strategies in mining engineering. Reliability analysis of mine systems, inventory management in mines...Loe edasi...
Data Science and Engineering Volume 9: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the ninth volume of nine from the Conference, brings together contributions to this important area of research and enginee...Loe edasi...
The book focusses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Divided into sections such as machine learning, security, IoT and data m...Loe edasi...
This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query langu...Loe edasi...
(Ilmumisaeg: 01-Jan-1999, Kirjastus: A A Balkema Publishers, ISBN-13: 9781003077978)
This text provides a process oriented discussion of the theory, methodology and philosophy of geologic and mine modelling using two commercial software packages: Techbase, a leader for mineral exploration and modelling bedded deposits; and Lynx....Loe edasi...
