Exploiting time series of Sentinel-1 and Sentinel-2 to detect grassland mowing events using deep learning with reject region
Governments pay agencies to control the activities of farmers who receive governmental
support. Field visits are costly and highly time-consuming; hence remote sensing is widely …
support. Field visits are costly and highly time-consuming; hence remote sensing is widely …
[HTML][HTML] Unveiling large-scale commuting patterns based on mobile phone cellular network data
A Hadachi, M Pourmoradnasseri… - Journal of Transport …, 2020 - Elsevier
In this study, with Estonia as an example, we established an approach based on Hidden
Markov Model to extract large-scale commuting patterns at different geographical levels …
Markov Model to extract large-scale commuting patterns at different geographical levels …
Application of Gaussian mixtures in a multimodal Kalman filter to estimate the state of a nonlinearly moving system using sparse inaccurate measurements in a cellular …
Kalman filter is a well-established accuracy correction method in control, guidance, and
navigation. With the popularity of mobile communication and ICT, Kalman Filter has been …
navigation. With the popularity of mobile communication and ICT, Kalman Filter has been …
Mobile positioning and trajectory reconstruction based on mobile phone network data: A tentative using particle filter
S Dyrmishi, A Hadachi - 2021 7th International Conference on …, 2021 - ieeexplore.ieee.org
Mobile positioning is a key element in many geolocation applications and research fields
about human mobility patterns, location-based services, targeted marketing, urban mobility …
about human mobility patterns, location-based services, targeted marketing, urban mobility …
From mobility analysis to mobility hubs discovery: A concept based on using cdr data of the mobile networks
Understanding human mobility in dynamic environments, such as our cities, is a crucial step
toward the development of our economy, our environment, our transportation, as well as our …
toward the development of our economy, our environment, our transportation, as well as our …
Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data
Building or detecting community association is a key attribute in understanding relationships
in social networks and their behavior. By detecting groups, we can address many issues …
in social networks and their behavior. By detecting groups, we can address many issues …
Tracking group movement in location based social networks
We study the problem of tracking the movement of groups using sparse trajectory data
extracted from Location Based Social Networks (LBSNs). Tracking group movement using …
extracted from Location Based Social Networks (LBSNs). Tracking group movement using …
Towards state-full positioning of mobile subscribers through advanced cell coverage modeling technique
The mobile subscribers' positioning is an essential feature for multiple applications such as
navigation, geo-information systems, and location-based service. Having accurate …
navigation, geo-information systems, and location-based service. Having accurate …
Mobility episode discovery in the mobile networks based on enhanced switching kalman filter
The usage of mobile phones has become an important activity in our lives. The passive
mobile positioning of mobiles provides large-scale data about human mobility. Hence, in this …
mobile positioning of mobiles provides large-scale data about human mobility. Hence, in this …
CDR Based Trajectories: Tentative for Filtering Ping-pong Handover
Call Detail Records (CDRs) coupled with the coverage area locations provide the operator
with an incredible amount of information on its customers' whereabouts and movement. Due …
with an incredible amount of information on its customers' whereabouts and movement. Due …