Cargando…

A Low Complexity System Based on Multiple Weighted Decision Trees for Indoor Localization

Indoor position estimation has become an attractive research topic due to growing interest in location-aware services. Nevertheless, satisfying solutions have not been found with the considerations of both accuracy and system complexity. From the perspective of lightweight mobile devices, they are e...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sánchez-Rodríguez, David, Hernández-Morera, Pablo, Quinteiro, José Ma., Alonso-González, Itziar
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2015
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507618/ https://www.ncbi.nlm.nih.gov/pubmed/26110413 http://dx.doi.org/10.3390/s150614809

Ejemplares similares

Discrete Indoor Three-Dimensional Localization System Based on Neural Networks Using Visible Light Communication
por: Alonso-González, Itziar, et al.
Publicado: (2018)

Privacy-Preserving Decision-Tree Evaluation with Low Complexity for Communication
por: Hao, Yidi, et al.
Publicado: (2023)

The Navigation of Mobile Robot in the Indoor Dynamic Unknown Environment Based on Decision Tree Algorithm
por: Yan, Yupei, et al.
Publicado: (2022)

Accurate and Low-Complexity Auto-Fingerprinting for Enhanced Reliability of Indoor Localization Systems
por: Hatem, Elias, et al.
Publicado: (2021)

Average time complexity of decision trees
por: Chikalov, Igor, et al.
Publicado: (2011)

Improving the Heading Accuracy in Indoor Pedestrian Navigation Based on a Decision Tree and Kalman Filter
por: Hu, Guanghui, et al.
Publicado: (2020)

Indoor Large-Scale MIMO-Based RSSI Localization with Low-Complexity RFID Infrastructure
por: El-Absi, Mohammed, et al.
Publicado: (2020)

Indoor Localization Based on Weighted Surfacing from Crowdsourced Samples
por: Lin, Junhong, et al.
Publicado: (2018)

The Performance Analysis of the Map-Aided Fuzzy Decision Tree Based on the Pedestrian Dead Reckoning Algorithm in an Indoor Environment
por: Chiang, Kai-Wei, et al.
Publicado: (2015)

Decision trees to evaluate the risk of developing multiple sclerosis
por: Pasella, Manuela, et al.
Publicado: (2023)

Splitting Choice and Computational Complexity Analysis of Decision Trees
por: Zhao, Xin, et al.
Publicado: (2021)

An INS/WiFi Indoor Localization System Based on the Weighted Least Squares
por: Chen, Jian, et al.
Publicado: (2018)

Harvesting of olfactory ensheathing cells for autologous transplantation into the spinal cord injury. Its complexity in dogs
por: Salazar, Ignacio, et al.
Publicado: (2015)

Using Minimum Local Distortion to Hide Decision Tree Rules
por: Feretzakis, Georgios, et al.
Publicado: (2019)

Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons
por: Zhuang, Yuan, et al.
Publicado: (2016)

A Low-Cost and Efficient Indoor Fusion Localization Method
por: Yan, Suqing, et al.
Publicado: (2022)

Stereo Vision Tracking of Multiple Objects in Complex Indoor Environments
por: Marrón-Romera, Marta, et al.
Publicado: (2010)

MFAM: Multiple Frequency Adaptive Model-Based Indoor Localization Method
por: Tuta, Jure, et al.
Publicado: (2018)

Applications of Depth Minimization of Decision Trees Containing Hypotheses for Multiple-Value Decision Tables
por: Azad, Mohammad, et al.
Publicado: (2023)

On Complexity of Deterministic and Nondeterministic Decision Trees for Conventional Decision Tables from Closed Classes
por: Ostonov, Azimkhon, et al.
Publicado: (2023)

Regularized impurity reduction: accurate decision trees with complexity guarantees
por: Zhang, Guangyi, et al.
Publicado: (2022)

The Risk of Extrapolation in Neuroanatomy: The Case of the Mammalian Vomeronasal System(†)
por: Salazar, Ignacio, et al.
Publicado: (2009)

Improved Bluetooth Low Energy Sensor Detection for Indoor Localization Services
por: Pušnik, Maja, et al.
Publicado: (2020)

Contribution of Singular Spectral Analysis to Forecasting and Anomalies Detection of Indoors Air Quality
por: Espinosa, Felipe, et al.
Publicado: (2022)

Recruitment decision Tree
por: Marcastel, Fabienne
Publicado: (2016)

Self-Configuring Indoor Localization Based on Low-Cost Ultrasonic Range Sensors
por: Basaran, Can, et al.
Publicado: (2014)

Indoor Bluetooth Low Energy Dataset for Localization, Tracking, Occupancy, and Social Interaction
por: Baronti, Paolo, et al.
Publicado: (2018)

Phytoforensics: Trees as bioindicators of potential indoor exposure via vapor intrusion
por: Wilson, Jordan L., et al.
Publicado: (2018)

Clutter Suppression for Indoor Self-Localization Systems by Iteratively Reweighted Low-Rank Plus Sparse Recovery
por: Sánchez-Pastor, Jesús, et al.
Publicado: (2021)

Using Boosted Decision Trees to Improve Tracking of Low PT Electrons
por: Mcblain, Warin Patrick
Publicado: (2018)

The clinical decision analysis using decision tree
por: Bae, Jong-Myon
Publicado: (2014)

Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort †
por: Hernández, Noelia, et al.
Publicado: (2017)

Building more accurate decision trees with the additive tree
por: Luna, José Marcio, et al.
Publicado: (2019)

New Weighting Methods for Phylogenetic Tree Reconstruction Using Multiple Loci
por: Misawa, Kazuharu, et al.
Publicado: (2012)

Self-Weighted Multilateration for Indoor Positioning Systems
por: Fornaser, Alberto, et al.
Publicado: (2019)

Fingerprint Feature Extraction for Indoor Localization †
por: Jiang, Jehn-Ruey, et al.
Publicado: (2021)

Accurate classification of secondary progression in multiple sclerosis using a decision tree
por: Ramanujam, Ryan, et al.
Publicado: (2020)

Decision Trees for Predicting the Physiological Responses of Rabbits
por: Ferraz, Patrícia Ferreira Ponciano, et al.
Publicado: (2019)

Diagnostic decision tree in dementia
por: Wetherell, Julie Loebach, et al.
Publicado: (2003)

Decision trees in epidemiological research
por: Venkatasubramaniam, Ashwini, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_ph4j1a85jmri2a9cp1v86kp5k0