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A fog computing data reduce level to enhance the cloud of things performance

https://doi.org/10.1002/dac.4812
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What this work says

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

inferredcites →https://doi.org/10.1007/s00500-015-1938-4openalex-snapshot
Classification with boosting of extreme learning machine over arbitrarily partitioned data
inferredcites →https://doi.org/10.1007/s00500-019-04220-yopenalex-snapshot
IoT transaction processing through cooperative concurrency control on fog–cloud computing environment
inferredcites →https://doi.org/10.1016/j.adhoc.2012.02.016openalex-snapshot
Internet of things: Vision, applications and research challenges
inferredcites →https://doi.org/10.1016/j.future.2015.09.021openalex-snapshot
Integration of Cloud computing and Internet of Things: A survey
inferredcites →https://doi.org/10.1109/83.846248openalex-snapshot
A hierarchical approach to feature extraction and grouping
inferredcites →https://doi.org/10.1109/gcce.2015.7398603openalex-snapshot
DDoS detection and filtering technique in cloud environment using GARCH model
inferredcites →https://doi.org/10.1109/ibcast.2014.6778179openalex-snapshot
Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved
inferredcites →https://doi.org/10.1109/icdis.2018.00014openalex-snapshot
Reducing Data Complexity in Feature Extraction and Feature Selection for Big Data Security Analytics
inferredcites →https://doi.org/10.1109/igarss.2008.4780110openalex-snapshot
Dimension Reduction for Hyperspectral Image Classification via Support Vector based Feature Extraction
inferredcites →https://doi.org/10.1109/iwcmc.2019.8766790openalex-snapshot
Enhancing cloud of things performance by avoiding unnecessary data through artificial intelligence tools
inferredcites →https://doi.org/10.1109/lgrs.2015.2402167openalex-snapshot
Feature Extraction Using Weighted Training Samples
inferredcites →https://doi.org/10.1109/mis.2017.38openalex-snapshot
Challenges of Feature Selection for Big Data Analytics
inferredcites →https://doi.org/10.1109/sai.2014.6918213openalex-snapshot
A survey of feature selection and feature extraction techniques in machine learning
inferredcites →https://doi.org/10.1109/smartiot.2018.00055openalex-snapshot
A Hybrid Feature Selection Algorithm For Classification Unbalanced Data Processsing
inferredcites →https://doi.org/10.1109/tpds.2011.66openalex-snapshot
Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing
inferredcites →https://doi.org/10.1109/tsc.2019.2962110openalex-snapshot
ThinORAM: Towards Practical Oblivious Data Access in Fog Computing Environment
inferredcites →https://doi.org/10.1109/tsmcb.2005.852471openalex-snapshot
On image matrix based feature extraction algorithms
inferredcites →https://doi.org/10.1109/tsusc.2018.2817043openalex-snapshot
Advanced Media-Based Smart Big Data on Intelligent Cloud Systems
inferredcites →https://doi.org/10.1145/1721654.1721672openalex-snapshot
A view of cloud computing
inferredcites →https://doi.org/10.1145/3012000openalex-snapshot
Mobile Cloud Business Process Management System for the Internet of Things
inferredcites →https://doi.org/10.15439/2014f503openalex-snapshot
The Fog Computing Paradigm: Scenarios and Security Issues
inferredcites →https://doi.org/10.4018/ijcac.2019010105openalex-snapshot
Towards Green Cloud Computing an Algorithmic Approach for Energy Minimization in Cloud Data Centers
inferredcites →https://doi.org/10.4018/ijssci.2020010104openalex-snapshot
An Incentive Compatible Mechanism for Replica Placement in Peer-Assisted Content Distribution

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10462-024-10908-xopenalex-snapshot
Securing data and preserving privacy in cloud IoT-based technologies an analysis of assessing threats and developing effective safeguard
inferred← citeshttps://doi.org/10.1007/s10586-026-05973-6openalex-snapshot
A predictive scheme in fog computing to reduce the volume of data sent to cloud layer
inferred← citeshttps://doi.org/10.1007/s12243-023-00951-0openalex-snapshot
Effects of dataset attacks on machine learning models in e-health
inferred← citeshttps://doi.org/10.1016/j.iot.2022.100629openalex-snapshot
Data reduction in fog computing and internet of things: A systematic literature survey
inferred← citeshttps://doi.org/10.1049/wss2.12051openalex-snapshot
Steam computing paradigm: Cross‐layer solutions over cloud, fog, and edge computing
inferred← citeshttps://doi.org/10.1109/access.2025.3586539openalex-snapshot
Intelligent Data Reduction for IoT: A Context-Driven Framework
inferred← citeshttps://doi.org/10.1109/ciot53061.2022.9766571openalex-snapshot
Cloud Computing Security and Challenges: Issues, Threats, and Solutions
inferred← citeshttps://doi.org/10.1109/iccci56745.2023.10128329openalex-snapshot
Analysis of Cloud Computing Security Challenges and Threats for Resolving Data Breach Issues
inferred← citeshttps://doi.org/10.1145/3656338openalex-snapshot
Intelligent Edge-powered Data Reduction: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1155/2022/2248962openalex-snapshot
[Retracted] Cloud‐IoT Resource Management Based on Artificial Intelligence for Energy Reduction
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2004374/v1openalex-snapshot
Missing Data Recovery in the e-health context based on Machine Learning models
inferred← citeshttps://doi.org/10.22266/ijies2023.0430.19openalex-snapshot
LotkaVoltera and Elman Hebbian Recurrent Neural Network Cache-Based Resource Allocation in Fog Environment
inferred← citeshttps://doi.org/10.3390/s24020358openalex-snapshot
Towards an AI-Driven Data Reduction Framework for Smart City Applications
inferred← citeshttps://doi.org/10.37394/23209.2023.20.2openalex-snapshot
Machine Learning Model for Offensive Speech Detection in Online Social Networks Slang Content
inferred← citeshttps://doi.org/10.54364/aaiml.2022.1135openalex-snapshot
Missing Data Recovery in the E-health Context Based on Machine Learning Models
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