A feature-fusion transfer learning method as a basis to support automated smartphone recycling in a circular smart city
N Abou Baker, P Szabo-Müller… - International Summit Smart …, 2020 - Springer
In this paper, we present how Artificial Intelligence (AI) could support automated smartphone
recycling, hence, act as an enabler for Circular Smart Cities (CSC), where the Smart City …
recycling, hence, act as an enabler for Circular Smart Cities (CSC), where the Smart City …
Person tracking in heavy industry environments with camera images
In this paper, we propose a method to localise and track persons in heavy industry
environments with multiple cameras. Using the OpenPose network, we localise the persons …
environments with multiple cameras. Using the OpenPose network, we localise the persons …
An evaluation of human detection methods on camera images in heavy industry environments
N Zengeler, M Grimm, C Borgmann… - 2019 14th IEEE …, 2019 - ieeexplore.ieee.org
In this paper we evaluate different machine learning models for human body detection in
heavy industry environments. Contributing a framework to asses the reliability of a detection …
heavy industry environments. Contributing a framework to asses the reliability of a detection …
Increasing the efficiency of GPU-based HOG algorithms through tile-images
D Malysiak, M Markard - Intelligent Information and Database Systems: 8th …, 2016 - Springer
Object detection systems which operate on large data streams require an efficient scaling
with available computation power. We analyze how the use of tile-images can increase the …
with available computation power. We analyze how the use of tile-images can increase the …
Massive parallelization of HOG-based algorithms for object detection
D Malysiak - 2017 - hss-opus.ub.ruhr-uni-bochum.de
RUB-Repository - Massive parallelization of HOG-based algorithms for object detection Deutsch
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[引用][C] Transfer Meta Learning: Herausforderungen der Mustererkennung
N Zengeler - 2022 - Dissertation, Bochum, Ruhr …