A Feature-Fusion Transfer Learning Method as a Basis to Support Automated Smartphone Recycling in a Circular Smart City. - Nermeen Abou Baker; Paul Szabo-Müller; Uwe Handmann (SmartCity360°, 2020)

Battery detection of XRay images using transfer learning. - Nermeen Abou Baker; David Rohrschneider; Uwe Handmann (ESANN, 2022)

Transfer Learning Approach Towards a Smarter Recycling. - Nermeen Abou Baker; Jonas Stehr; Uwe Handmann (ICANN (1), 2022)

An Approach for Smart and cost-Efficient Automated E-Waste Recycling for Small to medium-Sized Devices Using multi-Sensors. - Nermeen Abou Baker; Uwe Handmann (IEEE SENSORS, 2022)

A Transfer Learning Evaluation of Deep Neural Networks for Image Classification. - Nermeen Abou Baker; Nico Zengeler; Uwe Handmann (Mach. Learn. Knowl. Extr., 2022)

Don't waste SAM. - Nermeen Abou Baker; Uwe Handmann (ESANN, 2023)

Double Transfer Learning to Detect Lithium-Ion Batteries on X-Ray Images. - David Rohrschneider; Nermeen Abou Baker; Uwe Handmann (IWANN (1), 2023)

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks. - Nermeen Abou Baker; David Rohrschneider; Uwe Handmann (Mach. Learn. Knowl. Extr., 2024)

Rethinking Model Selection Beyond ImageNet Accuracy for Waste Classification. - Nermeen Abou Baker; Uwe Handmann (ICPRAM, 2025)