3 papers
cs.CL2026
Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case
Yi-Sheng Hsu, Nermeen Abou Baker, Uwe Handmann
The ability of large language models (LLMs) to process and generate text has introduced potential for applications in information extraction (IE). While it's debated whether LLMs o…
cs.CV2026
Transfer learning-based method for automated ewaste recycling in smart cities
Nermeen Abou Baker, Paul Szabo-Müller, Uwe Handmann
Sorting a huge stream of waste accurately within a short period can be done with the support of digitalization, particularly Artificial Intelligence, instead of traditional methods…
cs.CV2026
Battery detection of XRay images using transfer learning
Nermeen Abou Baker, David Rohrschneider, Uwe Handmann
The need for detecting and sorting batteries is drastically increasing for many applications. This study proves the potential of transfer learning in predicting whether the image c…