Biological aging is characterized by an age-dependent increase in the probability of death
and by a decrease in the reproductive capacity. Individual age-dependent rates of survival …

AEGIS (Ageing of Evolving Genomes In Silico) is a versatile population-genetics numerical-simulation
tool that enables the evolution of life history trajectories under sexual and asexual …

Player pose estimation is particularly important for sports because it provides more accurate
monitoring of athlete movements and performance, recognition of player actions, analysis of …

Collaborative training of deep neural networks using edge devices has attracted substantial
research interest recently. The two main architecture approaches for the training process are …

Peer-to-peer (P2P) learning is a decentralized approach to organizing the collaboration
between end devices known as agents. Agents contain heterogeneous data, and that …

In recent years, multi-person pose forecasting has gained significant attention due to its
potential applications in various fields such as computer vision, robotics, sports analysis, and …

Recent advances in blockchain gained significant social attention, mainly due to substantial
price fluctuations of Bitcoin and Ethereum cryptocurrencies. By its design, blockchain is an …

Novel machine learning techniques apply decentralized model training in order to mitigate
data volume and privacy issues. Current approaches assume (a) node performance …

This research focuses on classifying visual perception brain signals using an OpenBCI
headset to capture the EEG signals from the participants. The headset comprises 16 re-…

Learning Management Systems (LMSs) such as Moodle are nowadays widely employed in
higher education institutions. They enable teachers to publish educational materials and …