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A computational scheme to predict dynamics in IoT systems by using particle filter

https://doi.org/10.1002/cpe.4101
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/1532-2890(2000)9999:9999<::aid-asi1615>3.0.co;2-oopenalex-snapshot
Learning user interest dynamics with a three-descriptor representation
inferredcites →https://doi.org/10.1002/9780470316801openalex-snapshot
Finding Groups in Data
inferredcites →https://doi.org/10.1007/978-3-319-25936-9_10openalex-snapshot
Validation Approaches for a Biological Model Generation Describing Visitor Behaviours in a Cultural Heritage Scenario
inferredcites →https://doi.org/10.1007/978-3-319-30162-4_2openalex-snapshot
Classify Visitor Behaviours in a Cultural Heritage Exhibition
inferredcites →https://doi.org/10.1007/978-3-319-39345-2_50openalex-snapshot
Influence of Some Parameters on Visiting Style Classification in a Cultural Heritage Case Study
inferredcites →https://doi.org/10.1016/0378-3758(89)90033-5openalex-snapshot
Algorithms for clustering data
inferredcites →https://doi.org/10.1016/j.chb.2010.07.031openalex-snapshot
Towards a new era for Cultural Heritage Education: Discussing the role of ICT
inferredcites →https://doi.org/10.1016/j.chb.2012.07.020openalex-snapshot
Examining students’ online interaction in a live video streaming environment using data mining and text mining
inferredcites →https://doi.org/10.1016/j.chb.2015.07.012openalex-snapshot
Understanding the most influential user experiences in successful and unsuccessful technology adoptions
inferredcites →https://doi.org/10.1016/j.chb.2016.02.012openalex-snapshot
Using QR codes to increase user engagement in museum-like spaces
inferredcites →https://doi.org/10.1016/j.comcom.2014.09.008openalex-snapshot
The Internet of Things vision: Key features, applications and open issues
inferredcites →https://doi.org/10.1016/j.comnet.2010.05.010openalex-snapshot
The Internet of Things: A survey
inferredcites →https://doi.org/10.1016/j.compeleceng.2016.02.008openalex-snapshot
A smart system to manage the context evolution in the Cultural Heritage domain
inferredcites →https://doi.org/10.1016/j.future.2016.04.015openalex-snapshot
An associative engines based approach supporting collaborative analytics in the Internet of cultural things
inferredcites →https://doi.org/10.1016/j.physa.2006.11.046openalex-snapshot
Automatic mapping and modeling of human networks
inferredcites →https://doi.org/10.1016/j.procs.2013.09.017openalex-snapshot
The Talking Museum Project
inferredcites →https://doi.org/10.1016/j.procs.2016.09.024openalex-snapshot
The 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2016)
inferredcites →https://doi.org/10.1016/j.procs.2016.09.071openalex-snapshot
Mimic Visiting Styles by Using a Statistical Approach in a Cultural Event Case Study
inferredcites →https://doi.org/10.1080/09647770701757708openalex-snapshot
Museum Websites and Museum Visitors: Before and After the Museum Visit
inferredcites →https://doi.org/10.1088/0266-5611/29/8/085007openalex-snapshot
Linear multistep methods, particle filtering and sequential Monte Carlo
inferredcites →https://doi.org/10.1109/3pgcic.2015.55openalex-snapshot
A Cultural Heritage Case Study of Visitor Experiences Shared on a Social Network
inferredcites →https://doi.org/10.1109/jiot.2014.2306328openalex-snapshot
Internet of Things for Smart Cities
inferredcites →https://doi.org/10.1109/sitis.2014.86openalex-snapshot
A Biologically Inspired Model for Analyzing Behaviours in Social Network Community and Cultural Heritage Scenario
inferredcites →https://doi.org/10.1109/sitis.2015.87openalex-snapshot
Visiting Styles in an Art Exhibition Supported by a Digital Fruition System
inferredcites →https://doi.org/10.1145/1921614.1921618openalex-snapshot
A visitor's guide in an active museum
inferredcites →https://doi.org/10.1145/2347736.2347755openalex-snapshot
A few useful things to know about machine learning
inferredcites →https://doi.org/10.1145/2389936.2389947openalex-snapshot
SNOPS
inferredcites →https://doi.org/10.1145/2532640openalex-snapshot
A Multimedia Recommender System
inferredcites →https://doi.org/10.1145/945645.945657openalex-snapshot
Capturing interest through inference and visualization
inferredcites →https://doi.org/10.1145/959258.959260openalex-snapshot
Implicit feedback for inferring user preference
inferredcites →https://doi.org/10.15783/c7qc7mopenalex-snapshot
CRAWDAD dataset roma/taxi (v. 2014-07-17)
inferredcites →https://doi.org/10.5220/0005579603370343openalex-snapshot
Visitor Dynamics in a Cultural Heritage Scenario

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.4155openalex-snapshot
Cultural Heritage on Internet of Things (IoT) systems: Trends and challenges
inferred← citeshttps://doi.org/10.1002/cpe.4527openalex-snapshot
Social network data analysis and mining applications for the Internet of Data
inferred← citeshttps://doi.org/10.1002/cpe.5331openalex-snapshot
A virtual assistant in cultural heritage scenarios
inferred← citeshttps://doi.org/10.1007/978-3-319-98530-5_86openalex-snapshot
Remarks of Social Data Mining Applications in the Internet of Data
inferred← citeshttps://doi.org/10.1007/s12652-019-01452-6openalex-snapshot
A machine learning approach for IoT cultural data
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2017.12.002openalex-snapshot
A GPU-accelerated parallel K-means algorithm
inferred← citeshttps://doi.org/10.1016/j.future.2017.12.058openalex-snapshot
The IoT as a tool to combine the scheduling of the irrigation with the geostatistics of the soils
inferred← citeshttps://doi.org/10.1016/j.physa.2019.03.018openalex-snapshot
Novel method for spreading information with fewer resources in scale-free networks
inferred← citeshttps://doi.org/10.1016/j.procs.2017.06.113openalex-snapshot
Decentralized Network Building Change in Large Manufacturing Companies towards Industry 4.0
inferred← citeshttps://doi.org/10.1016/j.procs.2017.08.307openalex-snapshot
S&P500 Forecasting and trading using convolution analysis of major asset classes
inferred← citeshttps://doi.org/10.1109/rtsi.2018.8548426openalex-snapshot
Data-Driven Approaches to Predict States in a Food Technology Case Study
inferred← citeshttps://doi.org/10.1109/sitis.2017.85openalex-snapshot
Visitor Assistant Tools Based on Machine Learning Approaches in Cultural Heritage Contexts
inferred← citeshttps://doi.org/10.1109/sitis.2018.00079openalex-snapshot
Traditional and Deep Learning Approaches to Information and Influence Propagation in Social Networks
inferred← citeshttps://doi.org/10.1145/3386164.3386180openalex-snapshot
Epidemic System Conversion on Industry 4.0's Perspective Under Dynamic Network Condition
inferred← citeshttps://doi.org/10.18280/isi.260106openalex-snapshot
Parallelization of the K-Means++ Clustering Algorithm
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