Engineering - Data processing.

Advances of soft computing in engineering by: (Electronic resources)

Advanced Computational Methods in Science and Engineering by: (Electronic resources)

Engineering earththe impacts of megaengineering projects / by: (Electronic resources)

Scientific computing with multicore and accelerators / by: (Language materials, printed)

Intelligent computational optimization in engineeringTechniques and Applications / by: (Electronic resources)

Innovative computing methods and their applications to engineering problems by: (Electronic resources)

Applied data analysis and modeling for energy engineers and scientists by: (Electronic resources)

Information systemscrossroads for organization, management, accounting and engineering ; ItAIS: The Italian Association for Information Systems / by: (Electronic resources)

A guide to Microsoft Excel 2007 for scientists and engineers by: (Electronic resources)

Random dataanalysis and measurement procedures / by: (Electronic resources)

Soft computing techniques in engineering applications by: (Electronic resources)

Scientific computingan introduction using Maple and MATLAB / by: (Electronic resources)

Applications of mathematics and informatics in science and engineering by: (Electronic resources)

Computer simulation in physics and engineering by: (Electronic resources)

Global trends in intelligent computing research and development / by: (Electronic resources)

High performance computing in science and engineering '14transactions of the High Performance Computing Center, Stuttgart (HLRS) 2014 / by: (Electronic resources)

An introduction to MATLAB programming and numerical methods for engineers by: (Electronic resources)

High performance computing in science and engineering'15transactions of the high performance computing center, stuttgart (HLRS) 2015 / by: (Electronic resources)

A Guide to Microsoft Excel 2013 for scientists and engineers by: (Electronic resources)

ERP and information systemsintegration or disintegration / by: (Electronic resources)

Programming the finite element method by: (Electronic resources)

High performance computing in science and engineering '16transactions of the High Performance Computing Center, Stuttgart (HLRS) 2016 / by: (Electronic resources)

Applied computational intelligence and soft computing in engineering by: (Electronic resources)

Modeling and simulation in engineering / by: (Language materials, printed)

Data-driven science and engineering :machine learning, dynamical systems, and control / by: (Language materials, printed)

Cloud computing for engineering applications by: (Electronic resources)

Soft computing in engineering by: (Electronic resources)

Fortran for scientists and engineers / by: (Language materials, printed)

Multisensor fusion estimation theory and application by: (Electronic resources)

Smart citiesa data analytics perspective / by: (Electronic resources)

Fundamentals of quantum programming in IBM's quantum computers by: (Electronic resources)

Applications in electronics pervading industry, environment and societyAPPLEPIES 2020 / by: (Electronic resources)

Knowledge in the information societyJoint Conferences XII Communicative Strategies of the Information Society and XX Professional Culture of the Specialist of the Future / by: (Electronic resources)

Recent metaheuristic computation schemes in engineering by: (Electronic resources)

Liengme's guide to Excel 2016 for scientists and engineersWindows and Mac / by: (Electronic resources)

Introduction to deep learning for engineersusing python and google cloud platform / by: (Electronic resources)

Deep learning applications and intelligent decision making in engineering by: (Electronic resources)

Handbook of research on engineering, business, and healthcare applications of data science and analytics by: (Electronic resources)

Artificial neural network applications in business and engineering by: (Electronic resources)

Foundations of data science for engineering problem solving by: (Electronic resources)

Matlab for engineering / by: (Language materials, printed)

Handbook of research on AI methods and applications in computer engineering by: (Electronic resources)

Applied data analysis and modeling for energy engineers and scientists by: (Electronic resources)

Machine learning in modeling and simulationmethods and applications / by: (Electronic resources)

An introduction to Python programming for scientists and engineers / by: (Language materials, printed)

Machine learning for engineers / by: (Language materials, printed)

Digital twinarchitectures, networks, and applications / by: (Electronic resources)

A practical guide to OpenSees by: (Electronic resources)

Programming with Python for engineers by: (Electronic resources)

Data-driven science and engineering :machine learning, dynamical systems, and control / by: (Language materials, printed)

Artificial intelligence and machine learning techniques in engineering and management by: (Electronic resources)