Cargando…

Multiple Fingerprinting Localization by an Artificial Neural Network

Fingerprinting localization is a promising indoor positioning methods thanks to its advantage of using preinstalled infrastructure. For example, WiFi signal strength can be measured by pre-existing WiFi routers. In the offline phase, the fingerprinting localization method first stores of position an...

Descripción completa

Detalles Bibliográficos
Autor principal:	Yoo, Jaehyun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Communication
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573177/ https://www.ncbi.nlm.nih.gov/pubmed/36236604 http://dx.doi.org/10.3390/s22197505

Ejemplares similares

Natural product scores and fingerprints extracted from artificial neural networks
por: Menke, Janosch, et al.
Publicado: (2021)

Movement Path Data Generation from Wi-Fi Fingerprints for Recurrent Neural Networks
por: Shin, Hong-Gi, et al.
Publicado: (2021)

Neural-Network-Based Localization Method for Wi-Fi Fingerprint Indoor Localization
por: Zhu, Hui, et al.
Publicado: (2023)

Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks
por: Hwang, Jaekyun, et al.
Publicado: (2020)

Hybrid Wireless Fingerprint Indoor Localization Method Based on a Convolutional Neural Network
por: Liu, Zhenyu, et al.
Publicado: (2019)

Identification of Underground Artificial Cavities Based on the Bayesian Convolutional Neural Network
por: Xia, Jigen, et al.
Publicado: (2023)

Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features
por: Bede, Peter, et al.
Publicado: (2021)

A Data Fusion Method for Non-Destructive Testing by Means of Artificial Neural Networks
por: Cormerais, Romain, et al.
Publicado: (2021)

A Wavelet Scattering Feature Extraction Approach for Deep Neural Network Based Indoor Fingerprinting Localization †
por: Soro, Bedionita, et al.
Publicado: (2019)

Predicting the protein localization sites using artificial neural networks
por: Arulmozhi, V, et al.
Publicado: (2013)

Functional connectome fingerprinting using shallow feedforward neural networks
por: Sarar, Gokce, et al.
Publicado: (2021)

Artificial Neural Networks Coupled with MALDI-TOF MS Serum Fingerprinting To Classify and Diagnose Pathological Pain Subtypes in Preclinical Models
por: Deulofeu, Meritxell, et al.
Publicado: (2022)

A Neuromorphic Device Implemented on a Salmon‐DNA Electrolyte and its Application to Artificial Neural Networks
por: Kang, Dong‐Ho, et al.
Publicado: (2019)

Heat Rate Prediction of Combined Cycle Power Plant Using an Artificial Neural Network (ANN) Method
por: Arferiandi, Yondha Dwika, et al.
Publicado: (2021)

Artificial neural networks
por: Cain, Gayle
Publicado: (2016)

Neural dynamics based on the recognition of neural fingerprints
por: Carrillo-Medina, José Luis, et al.
Publicado: (2015)

Predicting Pressure Sensitivity to Luminophore Content and Paint Thickness of Pressure-Sensitive Paint Using Artificial Neural Network
por: Hasegawa, Mitsugu, et al.
Publicado: (2021)

Use of an artificial neural network to predict persistent organ failure in patients with acute pancreatitis
por: Hong, Wan-dong, et al.
Publicado: (2013)

Convolutional Neural Network-Based Compound Fingerprint Prediction for Metabolite Annotation
por: Gao, Shijinqiu, et al.
Publicado: (2022)

Neural networks prediction of the protein-ligand binding affinity with circular fingerprints
por: Yin, Zuode, et al.
Publicado: (2023)

Application of artificial neural networks and multiple linear regression on local bond stress equation of UHPC and reinforcing steel bars
por: Amini Pishro, Ahad, et al.
Publicado: (2021)

Establishment of multiple diagnosis models for colorectal cancer with artificial neural networks
por: Wang, Qiang, et al.
Publicado: (2019)

Artificial Local Anemia in Surgery
por: Von Esmarch, F.
Publicado: (1896)

Artificial intelligence in cardiac magnetic resonance fingerprinting
por: Velasco, Carlos, et al.
Publicado: (2022)

Target Localization in Wireless Sensor Networks Using Online Semi-Supervised Support Vector Regression
por: Yoo, Jaehyun, et al.
Publicado: (2015)

Localization of Immersed Sources by Modified Convolutional Neural Network: Application to a Deep-Sea Experiment
por: Xiao, Xu, et al.
Publicado: (2021)

Convolutional Neural Network-Based Artificial Intelligence for Classification of Protein Localization Patterns
por: Liimatainen, Kaisa, et al.
Publicado: (2021)

Application of Electrospray in Preparing Solid Lipid Nanoparticles and Optimization of Nanoparticles Using Artificial Neural Networks
por: Shanaghi, Elaheh, et al.
Publicado: (2020)

Encoding of information using neural fingerprints
por: Carrillo-Medina, José Luis, et al.
Publicado: (2015)

Artificial neural network and neuroregeneration
Publicado: (2012)

Artificial neural network modelling
por: Shanmuganathan, Subana, et al.
Publicado: (2016)

Science of artificial neural networks
por: Ruck, D W
Publicado: (1992)

Science of artificial neural networks
por: Ruck, D W
Publicado: (1992)

An introduction to artificial neural networks
por: Peterson, C, et al.
Publicado: (1992)

Convolutional Neural Network Model Based on 2D Fingerprint for Bioactivity Prediction
por: Hentabli, Hamza, et al.
Publicado: (2022)

Convolutional neural network based children recognition system using contactless fingerprints
por: Rajaram, Kanchana, et al.
Publicado: (2023)

Characterizing the lipid fingerprint of the mechanosensitive channel Piezo2
por: Lin, Yiechang, et al.
Publicado: (2022)

Feasibility of Magnetic Resonance Fingerprinting on Aging MRI Hardware
por: Eck, Brendan Lee, et al.
Publicado: (2021)

The Development of a Data Collection and Browser Fingerprinting System
por: Pau, Kiu Nai, et al.
Publicado: (2023)

Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia
por: Gu, Yue, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_77mfq8jclfor6qofp9h40j1env