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Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis

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In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the "Advanced Analytics in Mining Engineering Book" as a practical road map and tools for unleashing the potential buried in your company's data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners - undergraduate and graduate IT and mining engineering students - with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain - in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins - in line with leading "digital" industries.

Methodology of economics --- Operational research. Game theory --- Mathematical statistics --- Mathematics --- Engineering sciences. Technology --- Planning (firm) --- Production management --- Business management --- Business economics --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- financieel management --- datamining --- computers --- management --- mathematische modellen --- productie --- econometrie --- wiskunde --- operationeel onderzoek --- ingenieurswetenschappen --- computerkunde --- data acquisition

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An intelligent virtual assistant (IVA) or intelligent personal assistant (IPA) is a software agent that can perform tasks or services for an individual based on commands or questions. Improving the quality of artificial intelligence (AI) learning algorithms increases the application of IVAs in different areas. The capabilities and usage of IVAs are expanding rapidly. IVAs, such as Siri, Alexa, and chatbots, help individuals and companies to make better decisions. They learn from collected historical data, and the quality of their recommendations depends on the size of the database they are using. Modern technology has provided a huge capacity for data collection and storage. This means that the new generation of IVAs can help people much better than the previous one. This book examines the applications of IVAs in different areas and presents a clear vision of how this new technology can be used in current and future activities. Chapters cover such topics as the scientific development of VA technology, generating voices for IVAs, the ethics of using IVAs, and using IVAs in banking and finance.

Intelligent personal assistants (Computer software)

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The application of advanced analytics in science and technology is rapidly expanding, and developing optimization technics is critical to this expansion. Instead of relying on dated procedures, researchers can reap greater rewards by utilizing cutting-edge optimization techniques like population-based metaheuristic models, which can quickly generate a solution with acceptable quality. Ant Colony Optimization (ACO) is one the most critical and widely used models among heuristics and meta-heuristics. This book discusses ACO applications in Hybrid Electric Vehicles (HEVs), multi-robot systems, wireless multi-hop networks, and preventive, predictive maintenance.

Mathematical models. --- Ant algorithms.