• openAccess   Deep Learning-Based Building Footprint Extraction With Missing Annotations 

      kang, jian; Fernandez-Beltran, Ruben; Sun, Xian; Ni, Jingen; Plaza, Antonio Institute of Electrical and Electronics Engineers (2021-04-21)
      Most state-of-the-art deep learning-based methods for extraction of building footprints are aimed at designing proper convolutional neural network (CNN) architectures or loss functions able to effectively predict building ...
    • openAccess   Direct lightweight temporal compression for wearable sensor data 

      Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Granell, Carlos; Talvitie, Jukka; Valkama, Mikko; Nurmi, Jari IEEE (2021-02-01)
      Emerging technologies enable massive deployment of wireless sensor networks across many industries. Internet of Things (IoT) devices are often deployed in critical infrastructure or health monitoring and require fast ...
    • openAccess   Fostering Progress in Performance Evaluation and Benchmarking of Robotic and Automation Systems 

      Bonsignorio, Fabio; Messina, Elena; del Pobil, Angel P. IEEE (2014)
      We have shared benchmarks for many engineering systems and products in the market that can be used to compare solutions and systems. We can compare cars in terms of maximum speed, acceleration, and maximum torque; computers ...