£145.99

Elsevier Data-Driven Machine Learning in Thermochemical Processes

Name: Elsevier Data-Driven Machine Learning in Thermochemical Processes
Brand: Elsevier
Price: 145.99 GBP
Availability: InStock

Computing & Internet

It has never been this cheap. We have no record of a lower price.

£146 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 46 days • 46 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 46 days • 1 price levels

Days at Price

Price Analysis

Most common price: £146 (46 days, 100.0%)

Price range: £146 - £146

Price levels: 1 different prices over 46 days

Description

Expand your technical knowledge with Data-Driven Machine Learning Applications in Thermochemical Conversion Processes. Published by Elsevier as part of the Emerging Technologies and Materials in Thermal Engineering series, this book provides a specialized look into the intersection of computing and thermal engineering. This text is designed for professionals and students within the Computing and Internet subject category who need to understand how machine learning can be applied to complex thermal conversion processes. By focusing on data-driven methodologies, the book offers insights into modern approaches for managing and analyzing thermochemical data. It serves as a valuable resource for those studying emerging technologies and materials, helping to bridge the gap between advanced computational techniques and thermal engineering applications. Whether you are researching new materials or optimizing conversion processes, this Elsevier publication provides a focused academic perspective on modern engineering challenges.

Key Features

Part of the Emerging Technologies and Materials in Thermal Engineering series for specialized academic study.

Published by Elsevier, a leading name in high-quality scientific and technical literature.

Focuses on the application of machine learning within the field of thermochemical conversion processes.

Provides technical insights suitable for the Computing and Internet subject category.

Explores data-driven methodologies to assist in modern thermal engineering research.

Product Specifications

Brand: Elsevier
Format: paperback
ASIN: 0443333726
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 19 May 2026
Listed Since: 09 July 2025

Barcode

No barcode data available

Elsevier Data-Driven Machine Learning in Thermochemical Processes

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Applied Machine Learning in Chemical Process Engineering: A Practical Approach

Advances in Thermal Engineering: Innovations for Sustainable Solutions (Emerging Technologies and Materials in Thermal Engineering)

Machine Learning and AI for Advanced Experimental Mechanics and Materials Design

Advanced Thermal Engineering: Efficiency Enhancement, Emission Reduction, and Renewable Energy Integration (Emerging Technologies and Materials in Thermal Engineering)

Elsevier Machine Learning and Data Analysis for Energy Efficiency

Elsevier Plate Heat Exchanger Enhancement Techniques Book

Chemical Thermodynamics and Statistical Aspects: Questions to Ask in Fundamentals and Principles

Applications of Deep Machine Learning in Future Energy Systems

Thermofluids in Sustainable Energy Systems: Fundamentals and Applications (Emerging Technologies and Materials in Thermal Engineering)

Applied Thermodynamics: Low Temperature and Renewable Energy Systems (Emerging Technologies and Materials in Thermal Engineering)

Metamorphosis of Computational Chemistry Driven by Artificial Intelligence and Industry 5.0 (Theoretical and Computational Chemistry)

Mechanical and Chemical Engineering in the Age of Artificial Intelligence

AI in Chemical Engineering: Unlocking the Power Within Data

Industrial Chemical Process Analysis and Design

Phase Change Materials and Nano-PCMs (Emerging Technologies and Materials in Thermal Engineering)

High-Temperature Polymeric Materials: Preparation, Properties, Modeling and Engineering Applications

Process Systems Engineering Tools for Industrial Decarbonization

Machine Learning in 2D Materials Science

Advances in Thermal System, Materials and Design Engineering

Elsevier CFD Simulations for Solar Thermal Systems Book

Nonlinear Process Modeling in Chemical and Particle Systems

Physical Chemistry at the Intersection of Combustion and Atmospheric Sciences (Developments in Physical & Theoretical Chemistry)

Elsevier Decarbonizing the Petroleum Industry Book

Photoelectrochemical and Enzymatic Conversion of CO2 into Fuels: A Shift Toward Net Zero Energy Landscape (Emerging Technologies and Materials in Thermal Engineering)