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Techno-Economic Modeling for Chemical and Bioprocess Innovations
Build spreadsheet-based techno-economic models to understand factors driving economic value Techno-economic modeling examines how technical and financial parameters influence the economic value of a technology at the commercial scale. Techno-Economic Modeling for Chemical and Bioprocess Innovations is a practical guide to building spreadsheet-based techno-economic models and using them to make better decisions on the road to market. Inside, this book: * Explains the role of techno-economic modeling in advancing new technologies toward commercialization. * Presents spreadsheet best practices that form the foundation for effective and efficient techno-economic modeling. * Teaches how to combine process modeling, equipment sizing, and cost estimation in a cohesive and usable spreadsheet model. * Introduces techniques for analyzing model results to assess economic viability, quantify uncertainty, inform R&D priorities, and improve stakeholder communication. * Provides practical Excel and VBA examples, with two complete sample models available online. This book equips readers with the tools to combine science, engineering, and cost estimation. It is an essential resource for chemical and bioprocess engineers, including academics, startup teams, and advanced students working to bring innovations into the world. [368 Pages, Softcover]
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The Intelligent Universe
Uncover the universe's secrets with this essential guide that provides a comprehensive exploration of how artificial intelligence is revolutionizing modern astronomical research. Artificial intelligence (AI) is revolutionizing astronomy, enabling researchers to process vast datasets, uncover hidden patterns, and enhance observational precision like never before. This book explores this transformative synergy, bringing together insights from experts across the globe. Covering a wide spectrum of topics, including AI-driven data mining, exoplanet discovery, gravitational wave detection, and autonomous observatories, this book highlights the impact of machine learning, computer vision, and big data analytics on modern astrophysical research. From detecting transient celestial events to refining cosmic evolution models, this volume delves into the ways AI is reshaping our understanding of the cosmos. As we enter a new era of discovery, this guide serves as both a foundational reference and a forward-looking exploration of AI's expanding role in space science. Whether you are a student, researcher in astronomy or space science, or an AI practitioner, this book offers an invaluable resource on the frontiers of AI-driven astronomical research. Readers will find this volume: * Provides a balanced mix of fundamental concepts, practical applications, and future perspectives; * Designed to be informative and approachable, combining scientific insights, high-quality images, and detailed analyses to enhance understanding; * Explores how AI is transforming space exploration, telescope automation, and cosmic data processing, providing readers a future-focused perspective. Audience Academics, researchers, astronomers, astrophysicists, and industry professionals interested in the transformative power of AI for astrological applications. [528 Pages, Hardcover]
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Cybersecurity Law
Comprehensive textbook covering the latest developments in the field of cybersecurity law Cybersecurity Law offers an authoritative guide to the key statutes, regulations, and court rulings that pertain to cybersecurity, reflecting the latest legal developments for this constantly evolving subject since the previous edition was released in 2022. This comprehensive text deals with all aspects of cybersecurity law, including data security and enforcement actions, anti-hacking laws, surveillance and privacy laws, and national and international cybersecurity law. In this new edition, readers will find insights on revisions to regulations and guidance concerning cybersecurity from federal agencies, such as 2023 SEC cybersecurity regulations for all publicly traded companies, and the Cyber Incident Reporting for Critical Infrastructure Act and its impact on the obligations of companies across the United States. Other recent developments discussed in this book include litigation from customers against companies after data breaches and the resulting legal articulation of companies' duties to secure personal information, the increased focus from lawmakers and regulators on the Internet of Things (IoT), and the FDA's guidelines for medical device cyber security. Readers of Cybersecurity Law will also find new information on: * Litigation cases where courts ruled on whether plaintiffs stated viable causes of action in data breach cases, including the Eleventh Circuit's opinion in Ramirez v. Paradies Shops * Fourth Amendment opinions involving geofence warrants and keyword search warrants * Courts' applications of the Supreme Court's first Computer Fraud and Abuse Act opinion, Van Buren v. United States * NIST's 2024 revisions to its popular Cybersecurity Framework * Version 2 of the Cybersecurity Maturity Model Certification Cybersecurity Law is an ideal textbook for undergraduate and graduate level courses in cybersecurity, cyber operations, management-oriented information technology (IT), and computer science. It is also a useful reference for IT professionals, government personnel, business managers, auditors, cybersecurity insurance agents, and academics in these fields. [928 Pages, Hardcover]
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Computation, Optimization, and Machine Learning in Seismology
A textbook applying fundamental seismology theories to the latest computational tools The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these models with observations to identify subsurface rock properties. With recent advances in computing technology, including machine learning, it is now possible to automate matching procedures and use waveform inversion or optimization to create large-scale models. Computation, Optimization, and Machine Learning in Seismology provides students with a detailed understanding of seismic wave theory, optimization theory, and how to use machine learning to interpret seismic data. Volume highlights include: * Mathematical foundations and key equations for computational seismology * Essential theories, including wave propagation and elastic wave theory * Processing, mapping, and interpretation of prestack data * Model-based optimization and artificial intelligence methods * Applications for earthquakes, exploration seismology, depth imaging, and multi-objective geophysics problems * Exercises applying the main concepts of each chapter [416 Pages, Softcover]
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Quantitative Momentum
The individual investor's comprehensive guide to momentum investing Quantitative Momentum brings momentum investing out of Wall Street and into the hands of individual investors. In his last book, Quantitative Value, author Wes Gray brought systematic value strategy from the hedge funds to the masses; in this book, he does the same for momentum investing, the system that has been shown to beat the market and regularly enriches the coffers of Wall Street's most sophisticated investors. First, you'll learn what momentum investing is not: it's not 'growth' investing, nor is it an esoteric academic concept. You may have seen it used for asset allocation, but this book details the ways in which momentum stands on its own as a stock selection strategy, and gives you the expert insight you need to make it work for you. You'll dig into its behavioral psychology roots, and discover the key tactics that are bringing both institutional and individual investors flocking into the momentum fold. Systematic investment strategies always seem to look good on paper, but many fall down in practice. Momentum investing is one of the few systematic strategies with legs, withstanding the test of time and the rigor of academic investigation. This book provides invaluable guidance on constructing your own momentum strategy from the ground up. * Learn what momentum is and is not * Discover how momentum can beat the market * Take momentum beyond asset allocation into stock selection * Access the tools that ease DIY implementation The large Wall Street hedge funds tend to portray themselves as the sophisticated elite, but momentum investing allows you to 'borrow' one of their top strategies to enrich your own portfolio. Quantitative Momentum is the individual investor's guide to boosting market success with a robust momentum strategy. [208 Pages, Softcover]
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