Advanced Machine Learning for Industrial Application – Partially Supporting Measures Against COVID19 – 9a.009.TAU


Project Start Date: Aug 1, 2020
Funding: Member Funded
Project Tags: ,

Project Summary

PROJECT OBJECTIVES:

  • Single model for multi-domain and multi-task learning
  • Real-time surveillance system for prevention/assistance
  • Framework for object detection/ pose estimation in a single network
  • Estimate confidence of DL for a regression task
  • System for early detection of MI
  • End-to-end solution for industrial wireless sensor network based on the energy harvesting power source

WORK PACKAGES:

  • WP1: Computationally Efficient Multi-domain and Multi-task Learning for Edge Computing in Empathic Buildings
  • WP2: Early Anomaly Recognition System
  • WP3: Efficient Single-Stage Framework for Object Detection, Distance and Pose Estimation
  • WP4: Deep learning confidence estimation for the Color Constancy problem
  • WP5: System for Early Myocardial Infarction Detection on the Left Ventricle Wall using Echocardiography
  • WP6: Energy harvesting based long-lasting IoT sensor network for industrial construction monitoring