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Enables researchers and professionals to leverage machine learning tools to optimize catalyst design and chemical processes Artificial Intelligence in Catalysis delivers a state-of-the-art overview of artificial intelligence methodologies applied in catalysis. Divided...
Thorough discussion of data-driven and first principles models for energy-relevant systems and processes, approached through various in-depth case studies Applied AI Techniques in the Process Industry identifies and categorizes the various hybrid models available that...
For both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments. Following a short introduction to the basics of machine vision and the technical...
Leading authorities in the field review current experimental and theoretical knowledge oncriticality and brain function.The book begins by summarizing experimental evidence for criticality and self-organizedcriticality in the brain. Subsequently, important breakthroughs...
Written by one of the few top internationally recognized experts in the field, this book concentrates on those topics that will remain fundamental, such as low power computing, reversible programming languages, and applications in thermodynamics. It describes reversible...
This comprehensive and self-contained, one-stop source discusses phase-field methodology in a fundamental way, explaining advanced numerical techniques for solving phase-field and related continuum-field models. It also presents numerical techniques used to simulate...
What are accidents? Are they just statistics that your safety department sends to you monthly and which you glance over and ask yourself whether the safety professional you have employed is doing his job right? Aimed primarily at top and middle management, this book...
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