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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Learning Petri net models from sensor data of conveying systems based on the merging of prefix and postfix trees
Smart agriculture. Editorial
New active learning algorithms for near-infrared spectroscopy in agricultural applications
An approach for Industrie 4.0-compliant and data-sovereign Digital Twins
DecaWave ultra-wideband warm-up error correction
Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors
Optimal multispectral sensor confgurations through machine learning for cognitive agriculture
Grundlagen des Maschinellen Lernens
Tiefe neuronale Netze
Migrationskonzept zur Einführung von Ethernet TSN in die Feldebene