Aluminum electrolysis cells are characterized by harsh environments where several
measurements have to be done manually. Due to the operational costs related to manual …

Unsourced multiple access (UMA) is a multi-access technology for massive, low-power,
uncoordinated, and unsourced Machine Type Communication (MTC) networks. It ensures …

For the multi-target DOA estimation problem of uniform linear arrays, this paper proposes a
DOA estimation method based on the deep convolution neural network. The algorithm …

Unsourced multiple access (UMA) is the technology for massive, low-power, and
uncoordinated Internet-of-Things in the 6G wireless system, improving connectivity and …

This thesis is focused on the question of identifiability for deep ReLU neural networks.
Neural networks admit parameters in the form of weights and biases, and given a parameter …

This chapter introduces cognitive sensing technologies and related terminologies with their
adequate introduction, significance and applications. Cognitive sensing is incomplete …

Data-driven modeling has experienced an enormous increase in popularity recent years
due to the ever-growing data abundance, access to cheap computational resources and …