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Darwin Quezada-Gaibor
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2020 – today
- 2024
- [j5]Roman Klus
, Jukka Talvitie
C2R: A Novel ANN Architecture for Boosting Indoor Positioning With Scarce Data. IEEE Internet Things J. 11(20): 32868-32882 (2024) - 2023
- [b1]Darwin Quezada-Gaibor:
Cloud-based Indoor Positioning Platform for Context-adaptivity in GNSS-denied Scenarios. University of Tampere, Finland, 2023 - [j4]Joaquín Torres-Sospedra
Scalable and Efficient Clustering for Fingerprint-Based Positioning. IEEE Internet Things J. 10(4): 3484-3499 (2023) - [c11]Joaquín Torres-Sospedra, Cristiano G. Pendão, Ivo Silva
Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting. IPIN 2023: 1-6 - 2022
- [j3]Darwin Quezada-Gaibor
Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios - A Systematic Review. Sensors 22(1): 110 (2022) - [c10]Lucie Klus
Towards Accelerated Localization Performance Across Indoor Positioning Datasets. ICL-GNSS 2022: 1-7 - [c9]Darwin Quezada-Gaibor
Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification. ICL-GNSS 2022: 1-6 - [c8]Darwin Quezada-Gaibor
SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning. IPIN 2022: 1-8 - [c7]Darwin Quezada-Gaibor
Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets. MDM 2022: 349-354 - [i4]Darwin Quezada-Gaibor, Joaquín Torres-Sospedra
Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification. CoRR abs/2204.10418 (2022) - [i3]Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra
Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets. CoRR abs/2205.02096 (2022) - [i2]Darwin Quezada-Gaibor, Joaquín Torres-Sospedra
SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning. CoRR abs/2207.06120 (2022) - 2021
- [j2]Aleksandr Ometov
A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges. Comput. Networks 193: 108074 (2021) - [j1]Francesco Furfari, Antonino Crivello
Discovering location based services: A unified approach for heterogeneous indoor localization systems. Internet Things 13: 100334 (2021) - [c6]Darwin Quezada-Gaibor
Lightweight Wi-Fi Fingerprinting with a Novel RSS Clustering Algorithm. IPIN 2021: 1-8 - [c5]Joaquín Torres-Sospedra
Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets. IPIN 2021: 1-8 - [c4]Joaquín Torres-Sospedra
Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning. VTC Spring 2021: 1-5 - [i1]Joaquín Torres-Sospedra, Ivo Silva, Lucie Klus
Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets. CoRR abs/2109.09436 (2021) - 2020
- [c3]Joaquín Torres-Sospedra
New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting. ICL-GNSS 2020: 1-6 - [c2]Lucie Klus
RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering. ICUMT 2020: 195-200 - [c1]Darwin Quezada-Gaibor
Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices. ICUMT 2020: 208-213 - [d1]Joaquín Torres-Sospedra
Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting'. Zenodo, 2020
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