| dc.contributor.author | Datta, Shoumen | |
| dc.contributor.author | McLamore, Eric | |
| dc.date.accessioned | 2020-02-29T20:49:59Z | |
| dc.date.available | 2020-02-29T20:49:59Z | |
| dc.date.issued | 2020-02-29 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/123983 | |
| dc.description | Collaboration of thoughts and ideas with Eric McLamore and Diana Vanegas | en_US |
| dc.description.abstract | Exploring convergence of ideas to transform data into meaningful information. | en_US |
| dc.language.iso | en | en_US |
| dc.rights | Attribution-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/us/ | * |
| dc.subject | Data, Analytics, Artificial Reasoning, Platforms, Sensors, Food, Energy, Water, Sanitaton | en_US |
| dc.subject | Data, Analytics, Artificial Reasoning, Platforms, Sensors, Food, Energy, Water, Sanitation | en_US |
| dc.title | PEAS - Making Meaningful Sense of Sensor Data and Information | en_US |
| dc.type | Article | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Auto-ID Laboratory | |
