PEAS - Making Meaningful Sense of Sensor Data and Information

Name

SARA.pdf

Description

SARA

Size

2.26 MB

Format

Adobe PDF

Checksum (MD5)

50ff1cf6956abb6f75d204a6388ba8bb

Name

Annual Review_McLamore and Datta.pdf

Description

Analytical Chemistry Review

Size

1.21 MB

Format

Adobe PDF

Checksum (MD5)

d29c2e9a406878173acb3433782320ee

Author(s)

Datta, Shoumen

•

McLamore, Eric

Date Issued

February 29, 2020

Abstract

Exploring convergence of ideas to transform data into meaningful information.

Description

Collaboration of thoughts and ideas with Eric McLamore and Diana Vanegas

Subjects

Data, Analytics, Artificial Reasoning, Platforms, Sensors, Food, Energy, Water, Sanitaton

Data, Analytics, Artificial Reasoning, Platforms, Sensors, Food, Energy, Water, Sanitation

MIT Department

Massachusetts Institute of Technology. Auto-ID Laboratory

Terms of Use

Attribution-NoDerivs 3.0 United States

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