elsevier science technology apr 2021 (3 risultati)

Taschenbuch. Condizione: Neu. Neuware - Private Equity and Venture Capital in Europe: Markets, Techniques, and Deals, Third Edition introduces private equity, investments and venture capital markets while also presenting new information surrounding the core of private equity, including secondary markets, private debt, PPP within private equity, crowdfunding, venture philanthropy, impact investing, and more. Every chapter has been updated with new data, cases, examples, sections and chapters that illuminate elements unique to the European model. With the help of new pedagogical materials, this updated edition provides marketable insights about valuation and deal-making not available elsewhere.

Taschenbuch. Condizione: Neu. Neuware - Electronic Devices, Circuits, and Systems for Biomedical Applications: Challenges and Intelligent Approaches explains the latest information on the design of new technological solutions for low-power, high-speed efficient biomedical devices, circuits and systems. The book outlines new methods to enhance system performance, provides key parameters to explore the electronic devices and circuit biomedical applications, and discusses innovative materials that improve device performance, even for those with smaller dimensions and lower costs. This book is ideal for graduate students in biomedical engineering and medical informatics, biomedical engineers, medical device designers, and researchers in signal processing.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges. 476 pp. Englisch.