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Optimal Receivers Location for Passive Indoor Positioning based on BLE
(CEUR Workshop Proceedings, 2021-11)
Indoor Positioning Systems are attracting many researchers, being Bluetooth Low Energy gaining some
attention recently. The recent need to track people, ensuring low density of people in some areas, made
the research ...
Modeling excess weight in Spain by using deterministic and random differential equations
(Universitat Politècnica de València, 2021-07-14)
In this work, the aim is to model the data from the Spanish National Health Survey (ENSE) 2017,
which gathers the percentage of overweight and obese adults in Spain from 1987 to 2017. A compartmental system of differential ...
Integrating Concepts of Artificial Intelligence in the EO4GEO Body of Knowledge
(International Society for Photogrammetry and Remote SensingLeibniz University Hannover Institute of Photogrammetry and GeoInformation, 2022-06)
The EO4GEO Body of Knowledge (BoK) forms a structure of concepts and relationships between them, describing the domain of
Earth Observation and Geo-Information (EO/GI). Each concept carries a short description, a list of ...
Improving reproducibility of geospatial conference papers: lessons learned from a first implementation of reproducibility reviews
(Septentrio conference series, 2020-09-24)
In an attempt to increase the reproducibility of contributions to a long-running and established geospatial conference series, the 23rd AGILE Conference on Geographic Information Science 2020 (https://agile-online.org/co ...
Anonymous Attribute-based Credentials in Collaborative Indoor Positioning Systems
(SciTePress, 2021-07-06)
Collaborative Indoor Positioning Systems (CIPSs) have recently received considerable attention, mainly because they address some existing limitations of traditional Indoor Positioning Systems (IPSs). In CIPSs, Bluetooth ...
Transfer Learning for Convolutional Indoor Positioning Systems
(IEEE, 2021-11-29)
Fingerprinting is a widely used technique in indoor positioning, mainly due to its simplicity. Usually, this technique is used with the deterministic k - Nearest Neighbors (k-NN) algorithm. Utilizing a neural network model ...
Continued intention to use online participatory budgeting: The effect of empowerment and habit
(Association for Computing Machinery, New York, 2018-04)
Online participatory budget, an e-participation platform to
engage citizens in decision-making processes, has become more
popular in the last decade in several cities across Europe.
Nevertheless, to assure its continuity ...
Lightweight Wi-Fi Fingerprinting with a Novel RSS Clustering Algorithm
(IEEE, 2021-11-29)
Nowadays, several indoor positioning solutions sup-port Wi-Fi and use this technology to estimate the user position. It is characterized by its low cost, availability in indoor and outdoor environments, and a wide variety ...
Generalized Scalable Neighborhood Component Analysis for Single and Multi-Label Remote Sensing Image Characterization
(IEEE, 2021)
Deep metric learning has recently become a prominent technology for the semantic understanding ofremote sensing (RS)
scenes due to its great potential for characterizing visual semantics. However, state-of-the-art deep ...