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professional drilling engineers and open up a new area of application for signal processing and data mining scientists.;
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professional drilling engineers and open up a new area of application for signal processing and data mining scientists.;
Vergelijkbare producten zoals Data Analytics for Drilling Engineering
Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on;
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Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and;
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Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning;
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depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive;
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depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive;
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explains the fundamentals and field practices in drilling operations. This textbook is an excellent resource for drilling engineers, drilling;
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learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and;
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in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;
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learn how to engineer your use of these Azure Data Platform components for optimal performance and scalability. You will also learn to design;
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with minimum effort. This textbook is an excellent resource for petroleum engineering students, drilling engineers, supervisors & managers;
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Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies;
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This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy;
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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;
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This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science;
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of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;
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This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;
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procedures. Moving on, critical drilling guidelines are covered, such as production casing, data acquisition and well control. Final;
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work is aimed at providing a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data;
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Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore;
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Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required;
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). While these factors are commonly acknowledged in the drilling community, they need to be underscored in any drilling text, especially for those;
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work is aimed at providing a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data;
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Air and Gas Drilling Manual, Fourth Edition: Applications for Oil, Gas and Geothermal Fluid Recovery Wells, and Specialized;
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Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data;
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toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data;
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