Distributed edge intelligence is a disruptive research area that enables the execution of
machine learning and deep learning (ML/DL) algorithms close to where data are generated …

In consequence of the electrification and the increased adoption of lightweight structures in
the automotive industry, global demand for wrought Aluminum (Al) is expected to rise while …

As spectrum becomes crowded and spread over wide ranges, there is a growing need for
emcient spectrum management techniques that need minimal, or even better, no human …

In recent times, the trend in very large scale integration (VLSI) industry is multi-dimensional,
for example, reduction of energy consumption, occupancy of less space, precise result, less …

Recent advances in machine learning and deep learning have enabled many existing
applications in smart cities, autonomous systems, and wearable devices. These applications …

The Ph. D aims to establishing a robust effective sorting technique in the AUSOM project
investigating how geometrical information from cameras and composition dat a derived from …

The effort to make consumer healthcare devices more reliable, accurate and automated is
generating a growing interest in finding ways to integrate AI on the mobile device. Medical …

Advances in neuroscience have encouraged researchers to focus on developing
computational models that behave like the human brain. HMAX is one of the potential …

Wearable inertial measurement unit (IMU) sensors based gait parameter extraction
becomes popular in recent years for medical care, sports training, or daily life monitoring …

ABSTRACT Huruy Tekle Tesfai,“End-to-End ECG Processor for edge devices”, M. Sc.
Thesis, Electrical and Computer Engineering, Department of Electrical Engineering and …