The development of compact and energy-efficient wearable sensors has led to an increase
in the availability of biosignals. To effectively and efficiently analyze continuously recorded …

Change Point Detection (CPD) refers to the task of identifying abrupt changes in the
characteristics or statistics of time series data. Recent advancements have led to a shift …

The emergence of continuous health monitoring and the availability of an enormous amount
of time series data has provided a great opportunity for the advancement of personal health …

This paper considers the use of recently proposed optimal transport-based multivariate test
statistics, namely rank energy and its variant the soft rank energy derived from entropically …

Synchronizing clocks is a resource-intensive and a resource-rigid task; this makes it
challenging to align time across resource-constrained and heterogeneous IoT devices. Just …

Inferring behavior model of a running software system is quite useful for several automated
software engineering tasks, such as program comprehension, anomaly detection, and …

We propose a novel approach to quantify" deviation from stochasticity"(DS) in a time-series.
This is important to determine if the time-series is coming from a physical phenomenon or if it …

In this work, we report an autoencoder-based 2D representation to classify a time-series as
stochastic or non-stochastic, to understand the underlying physical process. Content-aware …

This paper gives an overview of crowdsourcing databases and crowdsourcing-related
challenges and open research issues for data collected from wearable devices. It is shown …

Radio Access Networks (RANs) for telecommunications represent large agglomerations of
interconnected hardware consisting of hundreds of thousands of transmitting devices (cells) …