Progress in outlier detection techniques: A survey
Detecting outliers is a significant problem that has been studied in various research and
application areas. Researchers continue to design robust schemes to provide solutions to …
application areas. Researchers continue to design robust schemes to provide solutions to …
WiDeep: WiFi-based accurate and robust indoor localization system using deep learning
Robust and accurate indoor localization has been the goal of several research efforts over
the past decade. Due to the ubiquitous availability of WiFi indoors, many indoor localization …
the past decade. Due to the ubiquitous availability of WiFi indoors, many indoor localization …
Outlier detection using AI: a survey
An outlier is an event or observation that is defined as an unusual activity, intrusion, or a
suspicious data point that lies at an irregular distance from a population. The definition of an …
suspicious data point that lies at an irregular distance from a population. The definition of an …
Review of preprocessing methods for univariate volatile time-series in power system applications
Outlier detection and correction of time-series referred to as preprocessing, play a vital role
in forecasting in power systems. Rigorous research on this topic has been made in the past …
in forecasting in power systems. Rigorous research on this topic has been made in the past …
CellinDeep: Robust and accurate cellular-based indoor localization via deep learning
The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Current solutions for indoor localization usually depend on using the embedded …
growing. Current solutions for indoor localization usually depend on using the embedded …
Effectiveness of data augmentation in cellular-based localization using deep learning
Recently, deep learning-based positioning systems have gained attention due to their
higher performance relative to traditional methods. However, obtaining the expected …
higher performance relative to traditional methods. However, obtaining the expected …
Device-independent cellular-based indoor location tracking using deep learning
The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Cellular-based systems are a good candidate to provide such ubiquitous service …
growing. Cellular-based systems are a good candidate to provide such ubiquitous service …
Laser range scanners for enabling zero-overhead wifi-based indoor localization system
Robust and accurate indoor localization has been the goal of several research efforts over
the past decade. Toward achieving this goal, WiFi fingerprinting-based indoor localization …
the past decade. Toward achieving this goal, WiFi fingerprinting-based indoor localization …
TimeSense: Multi-Person Device-free Indoor Localization via RTT
Locating the persons moving through an environment without the necessity of them being
equipped with special devices has become vital for many applications, including security …
equipped with special devices has become vital for many applications, including security …
Monodcell: A ubiquitous and low-overhead deep learning-based indoor localization with limited cellular information
The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Despite the pervasive nature of cellular-based solutions, their localization quality …
growing. Despite the pervasive nature of cellular-based solutions, their localization quality …