A pipeline of constant data streams is being built by the Internet of Things (IoT) to monitor
information about the physical environment. In parallel, Artificial Intelligence (AI) is …

In many practical application scenarios, radio communication signals are very frequently
represented as spectrograms, which represent the received signal strength measured at …

It is very challenging to design an effective wireless communication system. That's because
of numerous factors affecting the performance of a typical wireless communication system …

Artificial intelligence (AI) on an edge device has enormous potential, including advanced
signal filtering, event detection, optimization in communications and data compression …

Beyond 5G and 6G communications are foreseen to transform the world, connecting not only
people but also vehicles, wearables, devices, sensors, and even physical and digital worlds …

Machine learning models have been extensively proposed for classifying network flows as
benign or malicious, either in-network or at the endpoints of the infrastructure. Typically, the …

Pedestrian behavior anticipation is an important factor in autonomous driver assistance,
since pedestrians are always the most crucial and fragile moving objects within …

Massive MIMO (mMIMO) communication systems are recognized as key enablers of next-
generation wireless networks. However, the orthogonal pilot assignments typical of multiple …

With the rising use of Artificial Intelligence (AI) and Machine Learning (ML) methods, there
comes an increasing need to understand how automated systems make decisions …

The doctoral thesis focuses on increasing the efficiency of signal data processing and
classification using convolutional neural networks. The topic is divided into three significant …