Darwin Quezada-Gaibor

According to our database, Darwin Quezada-Gaibor authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

C2R: A Novel ANN Architecture for Boosting Indoor Positioning With Scarce Data.

Roman Klus, Jukka Talvitie, Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Sven Casteleyn, Danijela Cabric, Mikko Valkama

IEEE Internet Things J., October, 2024

2023

Scalable and Efficient Clustering for Fingerprint-Based Positioning.

Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Jari Nurmi, Yevgeni Koucheryavy, Elena Simona Lohan, Joaquín Huerta

IEEE Internet Things J., February, 2023

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

Darwin Quezada-Gaibor

PhD thesis, 2023

Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting.

Joaquín Torres-Sospedra, Cristiano G. Pendão, Ivo Silva, Filipe Meneses, Darwin Quezada-Gaibor, Raúl Montoliu, Antonino Crivello, Paolo Barsocchi, Antoni Pérez-Navarro, Adriano J. C. Moreira

Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

2022

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios - A Systematic Review.

Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi, Yevgeni Koucheryavy, Joaquín Huerta

Sensors, 2022

Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets.

Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi, Carlos Granell, Joaquín Huerta

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning.

Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi, Yevgeni Koucheryavy, Joaquín Huerta

Proceedings of the 12th IEEE International Conference on Indoor Positioning and Indoor Navigation, 2022

Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification.

Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi, Yevgeni Koucheryavy, Joaquín Huerta

Proceedings of the 2022 International Conference on Localization and GNSS, 2022

Towards Accelerated Localization Performance Across Indoor Positioning Datasets.

Lucie Klus, Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi

Proceedings of the 2022 International Conference on Localization and GNSS, 2022

2021

Discovering location based services: A unified approach for heterogeneous indoor localization systems.

Francesco Furfari, Antonino Crivello, Paolo Baronti, Paolo Barsocchi, Michele Girolami, Filippo Palumbo, Darwin Quezada-Gaibor, Germán M. Mendoza-Silva, Joaquín Torres-Sospedra

Internet Things, 2021

A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges.

Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibinska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada-Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa, Ekaterina Svertoka, Waleed Bin Qaim, Raul Casanova Marques, Sylvia Holcer, Joaquín Torres-Sospedra, Sven Casteleyn, Giuseppe Ruggeri, Giuseppe Araniti, Radim Burget, Jiri Hosek, Elena Simona Lohan

Comput. Networks, 2021

Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning.

Joaquín Torres-Sospedra, Fernando J. Aranda, Fernando J. Álvarez, Darwin Quezada-Gaibor, Ivo Silva, Cristiano G. Pendão, Adriano J. C. Moreira

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets.

Joaquín Torres-Sospedra, Ivo Silva, Lucie Klus, Darwin Quezada-Gaibor, Antonino Crivello, Paolo Barsocchi, Cristiano G. Pendão, Elena Simona Lohan, Jari Nurmi, Adriano J. C. Moreira

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

Lightweight Wi-Fi Fingerprinting with a Novel RSS Clustering Algorithm.

Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi, Yevgeni Koucheryavy, Joaquín Huerta

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

2020

Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting'.

Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Germán M. Mendoza-Silva, Jari Nurmi, Yevgeni Koucheryavy, Joaquín Huerta

Dataset, June, 2020

Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices.

Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi, Joaquín Huerta

Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2020

RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering.

Lucie Klus, Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi

Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2020

New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting.

Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Germán M. Mendoza-Silva, Jari Nurmi, Yevgeni Koucheryavy, Joaquín Huerta

Proceedings of the 2020 International Conference on Localization and GNSS, 2020