Year: 2022

iLab Workshop on Feature Selection, Analysis and Classification (May, 2, 2022)

Posted on By jannis
workshop

The Workshop would consist of short presentations (10-20 minutes) on related topics followed by group discussion. In preparation for that we should all prepare by researching some part(s) of that topics listed below: time domain features frequency domain features statistical features dimensionality reduction / feature learning feature selection methods (moments, cumulants, zero crossings, …) hardware … Read More “iLab Workshop on Feature Selection, Analysis and Classification (May, 2, 2022)” »

IEEE-Prime: Development of a Scalable Analog Front-End for Brain-Computer Interfaces

Posted on By jannis
scientific publication, teaching

Sebastian Doliwa∗, Andreas Erbsl ̈oh†, Karsten Seidl†‡ and Ioannis Iossifidis∗∗University of Applied Science Ruhr-West, Institute for Computer Science, Mülheim an der Ruhr, Germany†University of Duisburg-Essen, Electronic Components and Circuits, Duisburg, Germany‡Fraunhofer Institute for Microelectronic Circuits and Systems, Duisburg, Germany In the context of the development of an implantable embedded system interfacing brain activity and enabling … Read More “IEEE-Prime: Development of a Scalable Analog Front-End for Brain-Computer Interfaces” »

BioRob2022: Biologically Inspired Model for Timed Motion in Robotic Systems

Posted on By jannis
publication, teaching

Sebastian Doliwa and Muhammad Ayaz Hussain and Tim Sziburis and Ioannis Iossifidis Timing plays a vital role in the generation of naturalistic behavior satisfying all constraints arising from interacting with a dynamic environment while adapting the planning and execution of action sequences on-line.In biological systems, many of the physiological and anatomical functions follow a particular … Read More “BioRob2022: Biologically Inspired Model for Timed Motion in Robotic Systems” »

Pallets Detection and position tracking for automated guided vehicles

Posted on By Muhammad Saif-Ur-Rehman
teaching

Bachelorarbeitsthema Significance of the proposed Master thesis The use of autonomous vehicles is vital in the manufacturing and distribution operations. The automated guided vehicles (AGVs) provide reliable and efficient product handling in several industrial applications. Goals of the proposed Master thesis In this Master thesis, we are aiming a deep learning-based solution for pallet detection … Read More “Pallets Detection and position tracking for automated guided vehicles” »