Supervised Phd Thesis

Collaborative Techniques for Indoor Positioning Systems


Pavel Pascacio de los Santos
PhD in European Joint Doctorate Marie Sklodowska-Curie in A Network for Dynamic Wearable Applications with Privacy Constraints
June 9th, 2023
Grade: Excellent Cum Laude
Handle: http://hdl.handle.net/10803/688489
DOI (UJI): 10.6035/14124.2023.821144
TREPO (TAU): https://trepo.tuni.fi/handle/10024/148254

Direct Communication Radio Interface for New Radio Multicasting and Cooperative Positioning


Nadezhda Chukhno
PhD in European Joint Doctorate Marie Sklodowska-Curie in A Network for Dynamic Wearable Applications with Privacy Constraints
April 3rd, 2023
Grade: Excellent Cum Laude
Handle (UNIRC): https://iris.unirc.it/handle/20.500.12318/136586

Cloud-based Indoor Positioning Platform for Context-adaptivity in GNSS-denied Scenarios


Darwin Quezada Gaibor
PhD in European Joint Doctorate Marie Sklodowska-Curie in A Network for Dynamic Wearable Applications with Privacy Constraints
March 31st, 2023
Grade: Excellent Cum Laude
Handle: http://hdl.handle.net/10803/688141
DOI (UJI): 10.6035/14124.2023.821275
TREPO (TAU): https://trepo.tuni.fi/handle/10024/146093

Received Signal Strength-based Indoor Positioning:
Integrative Outlooks and Solutions


Germán Martín Mendoza Silva
PhD in Computer Science
March 5th, 2020
Grade: Excellent Cum Laude
Handle: http://hdl.handle.net/10803/668885
DOI (UJI): 10.6035/14101.2020.357222

A statistical approach for studying urban human dynamics


Luis Fernando Santa Guzmán
PhD in Geospatial Technologies
November 30th, 2018
Handle: https://run.unl.pt/handle/10362/56709

Supervised Master Thesis

Estudio de algoritmos de aprendizaje automático para el cálculo del LoRaWAN fingerprinting para posicionamiento en exteriores


Lucas de Torre Barrio
Master of Science in Data Science (UOC)
June 26th, 2023

Comparison of transformer-based and convolutional neural network-based (CNN) models for remote sensing image classification
Mareyam Belcaid


Erasmus+ Master of Science in Geospatial Technologies
January 27th, 2023
Handle: http://hdl.handle.net/10362/150959

Deep Learning approach applied to drone imagery for the automatic detection of forest fire
Maryeme Akhatar


Erasmus+ Master of Science in Geospatial Technologies
January 27th, 2023
Handle: http://hdl.handle.net/10362/150958

Implantació d'un sistema de geoposicionament de dispositius mòbils en interiors Cas d'ús: Monument de Casa de la Vall (Principat d'Andorra)


Josep Ribí Férriz
Master of Science in Data Science (UOC)
January 25th, 2023
Handle: http://hdl.handle.net/10609/147470

Two-level Fingerprint-based Indoor Positioning using advanced Machine Learning


Moisés Manuel Boba Roriz Ramires
Master of Science Informatics Engineering (Universidade do Minho)
December 7th, 2022
Handle: https://hdl.handle.net/1822/84081-->

Enhancement of Clustering models via Data Augmentation for Fingerprint-based positioning


Richard Jácome Guanoluisa
Master of Science in Data Science (UOC)
June 20th, 2022

Development of model based on nearest neighbours with previous knowledge of signal propagation


Vicenç Pio Badia
Master of Science in Data Science (UOC)
June 20th, 2022

Desarrollo de un modelo k-NN integrando conocimiento previo de la propagación de señal


Aleix Salvador Barrera
Master of Science in Data Science (UOC)
June 17th, 2022

Estudio y evaluación de algoritmos de procesamiento de datos inalámbricos para la estimación de la localización y ocupación en interiores


Ginés Molina Abril
Master of Science in Data Science (UOC)
June 15th, 2022

Identify popular hotspots through the analysis of movement patterns from social networks in rural areas: Case study of the Borbera Valley in North Italy


Stefano Cunietti
Master of Science in Geospatial Technologies
March 5th, 2022
Handle: http://hdl.handle.net/10362/135045

High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal


Syver Jahren Petersen
Master of Science in Geospatial Technologies
March 2nd, 2022
Handle: http://hdl.handle.net/10362/134627

Spatial Conflict prediction using Machine Learning


Frank Guzzardo
Master of Science in Geospatial Technologies
March 2nd, 2022
Handle: http://hdl.handle.net/10362/134614

Applicability of multispectral Sentinel data for mineral exploration by use of remote sensing and geospatial technologies:A case study in Northern Chile


Jose Edmundo Tulcanaza
Master of Science in Geospatial Technologies
January 28th, 2022
Handle: http://hdl.handle.net/10234/187008

Estimació de la Producció de Clavell Moro a la Província Xinesa de Xinjiang a través de imatges de satèl·lit


Gemma Garcia de la Fuente
Master of Science in Data Science (UOC)
January 13th, 2022

Optimal Receivers Location for Passive Indoor Positioning based on BLE


Roald de Brower
Master of Science in Geospatial Technologies
June 18th, 2021

Indoor Positioning System Based on Machine Learning Application over Wi-Fi Signals


Daniel Corretja Alonso
Master of Science in Data Science (UOC)
January 20th, 2021

Study of k-NN Algorithm in Wi-Fi Fingerprinting


Cristina Rodríguez Martínez
Master of Science in Data Science (UOC)
January 18th, 2021

Sensor fusion of IMU and BLE using a well-condition triangle approach for BLE positioning


Amrit Karmacharya
Master of Science in Geospatial Technologies
March 5th, 2020
Handle: http://hdl.handle.net/10234/187008

Ship recognition on the sea surface using aerial images taken by UAV: A deep learning approach


Laxmi Thapa
Master of Science in Geospatial Technologies
February 28th, 2019
Handle: https://run.unl.pt/handle/10362/63805

Monitoring and evaluation of the best mapping approach of the environmental impacts and land cover changes caused with the reveal of the quarry using the landsat and UAV images


Nikolina Nišić
Master of Science in Geospatial Technologies
February 27th, 2018
Handle: https://run.unl.pt/handle/10362/33647

Assessing the effect of weather parameters on human outdoor perception using twitter


Laura Giuffrida
Master of Science in Geospatial Technologies
February 24th, 2017
Handle: https://run.unl.pt/handle/10362/34460