Understanding the noise in gravitational-wave detectors is central to detecting and
interpreting gravitational-wave signals. Glitches are transient, non-Gaussian noise features …

Due to increasing traffic congestion, travel modeling has gained importance in the
development of transportion mode detection (TMD) strategies over the past decade …

Abstract The Gravity Spy project aims to uncover the origins of glitches, transient bursts of
noise that hamper analysis of gravitational-wave data. By using both the work of citizen …

Maritime transport is an indispensable element of the global logistics network. Most maritime
loading-unloading operations are supported by quay cranes, making their availability and …

Time series data collected using wireless sensors, such as temperature and humidity, can
provide insight into a building's heating, ventilation, and air conditioning (HVAC) system …

Automated event detection methods, vital for monitoring technical systems via sensor data,
are highly sought after in the automotive industry for tracing events in time series data. For …

The results of first-step research activity are presented for realizing an envisioned “event
radio” capability that mimics neuromorphic event-based camera processing. The energy …

The goals of this paper are twofold:(1) to present a new method that is able to find linear
laws governing the time evolution of Markov chains and (2) to apply this method for anomaly …

It is well known among practitioner, majority collected data from industrial process plant are
unlabeled. The collected historical data if utilize, able to provide vital information of process …

Current evidence indicates that Standard Model particles and interactions constitute just
4.9% of the energy content in the universe. The largest contribution, 68.3%, is attributed to …