Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Engineering. --- Construction --- Industrial arts --- Technology

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Emergency management --- Hazard mitigation --- Disaster mitigation --- Disaster risk mitigation --- Disaster risk reduction --- Disasters --- Hazards mitigation --- Mitigation, Hazard --- Natural hazard mitigation --- Natural hazards mitigation --- Reduction of risks of disasters --- Risk mitigation, Disaster --- Risk reduction, Disaster --- Consequence management (Emergency management) --- Disaster planning --- Disaster preparedness --- Disaster prevention --- Disaster relief --- Emergencies --- Emergency planning --- Emergency preparedness --- Management --- Public safety --- First responders --- Risk mitigation --- Planning --- Preparedness --- Prevention

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Hydraulic engineering --- Mathematical models. --- Engineering, Hydraulic --- Engineering --- Fluid mechanics --- Hydraulics --- Shore protection

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Business policy --- Organization theory

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.

Engineering. --- Computer mathematics. --- Computational intelligence. --- Computational Intelligence. --- Big Data. --- Computational Science and Engineering. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Construction --- Industrial arts --- Technology --- Mathematics --- Big data. --- Computer science --- Mathematics. --- Data sets, Large --- Large data sets --- Data sets --- Computer science. --- Informatics --- Science