The.Hottest

Zong-Xian Zhang ... 608 pages - Publisher: Butterworth-Heinemann; (May, 2016) ... Language: English - ISBN-10: 012802688X - ISBN-13: 978-0128026885 ...

Rock Fracture and Blasting: Theory and Applications provides the latest on stress waves, shock waves, and rock fracture, all necessary components that must be critically analyzed to maximize results in rock blasting. The positioning of charges and their capacity and sequencing are covered in this book, and must be carefully modeled to minimize impact in the surrounding environment. Through an explanation of these topics, author Professor Zhang’s experience in the field, and his theoretical knowledge, users will find a thorough guide that is not only up-to-date, but complete with a unique perspective on the field.

Includes a rigorous exposition of Stress Waves and Shock Waves, as well as Rock Fracture and Fragmentation + Provides both Empirical and Hybrid Stress Blasting Modeling tools and techniques for designing effective blast plans + Offers advanced knowledge that enables users to choose better blast techniques + Includes exercises for learning and training in each chapter.

Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita ... 403 pages - Publisher: Springer; (April, 2019) ... Language: English - ASIN: B07QD8SLQ4 by Amazon.

This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference.

Witold Pedrycz, Shyi-Ming Chen ... 342 pages - Publisher: Springer; (October, 2019) ... Language: English - ISBN-10: 3030317552 - ISBN-13: 978-3030317553.

This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.

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