Elsevier Applied Machine Learning in Chemical Process Engineering: A Practical Approach

Elsevier Artificial Neural Networks in Chemical Engineering

Elsevier

Machine Learning Tools for Chemical Engineering: Methodologies and Applications

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Elsevier Data-Driven Machine Learning in Thermochemical Processes

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Mechanical and Chemical Engineering in the Age of Artificial Intelligence

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Machine Learning and Artificial Intelligence in Chemical and Biological Sensing

Elsevier

Artificial Intelligence in Chemical Engineering

Machine Learning and AI for Advanced Experimental Mechanics and Materials Design

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Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications

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Deep Learning: From Algorithmic Essence to Industrial Practice

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Applications of Deep Machine Learning in Future Energy Systems

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Elsevier Low-Temperature Plasma Chemical Engineering Book

Elsevier

Computational Fluid Dynamics in Chemical Engineering: Fundamentals and Applications

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Machine Learning for Transportation Research and Applications

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Industrial Chemical Process Analysis and Design

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Elsevier Microchemical Engineering and Technology Book

Elsevier

Elsevier Introduction to Computational Chemistry Book

Elsevier

Advances in Data-Driven Modeling, Fault Detection, and Fault Identification: Applications to Chemical Processes

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Elsevier - Intelligent Learning Approaches for Renewable Energy

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Machine Learning for Powder-Based Metal Additive Manufacturing (Additive Manufacturing Materials and Technologies)

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Hybrid Nanofluids for Application in the Chemical and Petroleum Industry

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Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision

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Machine Learning for Industrial Applications

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

Springer

Advances in Process Control with Real Applications

Elsevier