This track focuses on using MATLAB to access data from files, spreadsheets, databases, test equipment, data acquisition hardware, software, or the web; to explore your data to identify trends, test hypotheses, and estimate uncertainty; and to create customized algorithms and models and publish customized reports. It showcases latest features in MATLAB for parallel computing and GPU computing.
Mathematical models are critical to understanding and accurately predicting the behaviour of complex systems.
Do you want to test your algorithm with real-world signals and perform analysis on live data acquired from sensors and instruments?
Harikrishna G. N. Rai
This session presents a computer vision–based in-store analytics solution we are developing to infer customer movement patterns by detecting, recognising, and tracking shopping carts.
Y. Kiran Kumar
Philips Electronics India Ltd.
This session presents a project involving numerical computational modelling using electrical networks for cerebral arteriovenous malformation.
In this session, we demonstrate how MATLAB Compiler™ and MATLAB Builder™ products can be used to generate standalone executables, Microsoft® Excel® plugins, and Java™ and .NET components.