Erenus Yildiz

Forschungszentrum Jülich · IAS-8

Microfluidic Live-Cell Imaging (MLCI) generates high-quality data that allows biotechnologists to study cellular growth dynamics in detail. However, obtaining these continuous data over extended periods is challenging, particularly in achieving accurate and consistent real-time event classification at the intersection of imaging and stochastic biol...

Microfluidic Live-Cell Imaging (MLCI) generates high-quality data that allows biotechnologists to study cellular growth dynamics in detail. However, obtaining these continuous data over extended periods is challenging, particularly in achieving accurate and consistent real-time event classification at the intersection of imaging and stochastic biol...

The state-of-the-art of deep learning models is becoming useful in real-world tasks such as disassembly of electronic devices by robotic manipulation. We have previously proposed a visual intelligence scheme to automate the robotic disassembly of computer hard drives. This extended paper addresses the remaining problems during the scene analysis, s...

As the state-of-the-art deep learning models are taking the leap to generalize and leverage automation, they are becoming useful in real-world tasks such as disassembly of devices by robotic manipulation. We address the problem of analyzing the visual scenes on industrial-grade tasks, for example, automated robotic recycling of a computer hard driv...

E-waste recycling is thriving yet there are many challenges waiting to be addressed until high-degree, device-independent automation is possible. One of these challenges is to have automated procedures for screw classification. Here we specifically address the problem of classification of the screw heads and implement a universal, generalizable, an...

Automation of disassembly processes in electronic waste recycling is progressing but hindered by the lack of automated procedures for screw detection and removal. Here we specifically address the detection problem and implement a universal, generalizable, and extendable screw detector which can be deployed in automated disassembly lines. We selecte...

Redundant stops of elevators result in an unnecessary consumption of energy and time. Moreover, redundant stops increase waiting time, leading to problems such physical and psychological discomfort for passengers inside the car as well as those waiting outside. This paper proposes a real- time elevator monitoring system to reduce total travelli...