The development of the Internet of Things (IoT) paradigm and its significant spread as an
affordable data source has brought many challenges when pursuing efficient data collection …

How can we debug a logistical regression model in a federated learning setting when
seeing the model behave unexpectedly (eg, the model rejects all high-income customers' …

Researchers strive to design artificial intelligence (AI) models that can fully utilize the
potentials of data while protecting privacy. Federated learning is a promising solution …

Nowadays, we are witnessing the advent of the Internet of Things (IoT) with numerous
devices performing interactions between them or with their environment. The huge number …

Systematic pattern recognition as well as the corresponding description of determined
patterns entail numerous challenges in the application context of high-dimensional …

ARIMA model, an interpretable model, is a statistical machine learning approach that has
been used for various predictions in India. From the initial stage of COVID-19, various …

The growth of the Internet of Things (IoT) has led to the increase of new threats, particularly
IoT botnets that are a serious cybersecurity concern. This paper proposes a Machine …

Developments in the field of Artificial Intelligence (AI) are evolving rapidly and reveal
numerous potentials for the economy and society. Especially because of the data age in …

Nowadays, we are witnessing the advent of the Internet of Things (EC) with numerous
devices performing interactions between them or with end users. The huge number of …