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Designing an AI solution for data analysis to improve the process of measuring thermal properties of materials: liquids, solids, powders and pastes
One of the busines processes of C-Therm Technologies is related to devices measuring thermal properties of materials: liquids, solids, powders and pastes. One part of the process is analyzing the data collected by the sensors. The project in this proposal will involve designing an AI solution for data analysis to improve the process of collected data analysis. The analysis which is currently performed by experts, will be performed by employing statistic analysis or machine and deep learning methods. The project will address the problems of implementing prototype solutions, testing their performance and potentially integration into the company’s software.
The benefits for the partner company, involve improved productivity through automation: the experts who are currently performing a repetetive data analysis procedure, will only need to verify the suggestion system analysis.
Faculty Supervisor:
Georgiy Krylov;Kenneth Kent
Student:
Partner:
C-Therm Technologies
Discipline:
Computer science
Sector:
Manufacturing
University:
University of New Brunswick
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.