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An Explainable Evolving Fuzzy Neural Network to Predict the k Barriers for Intrusion Detection Using a Wireless Sensor Network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-45164-1_26openalex-snapshot
Relative Unsupervised Discretization for Regression Problems
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Evolving Fuzzy Systems – Methodologies, Advanced Concepts and Applications
inferredcites →https://doi.org/10.1007/978-981-10-8536-9_36openalex-snapshot
k-Barrier Coverage-Based Intrusion Detection for Wireless Sensor Networks
inferredcites →https://doi.org/10.1007/s11277-019-06903-zopenalex-snapshot
WSN Strategies Based on Sensors, Deployment, Sensing Models, Coverage and Energy Efficiency: Review, Approaches and Open Issues
inferredcites →https://doi.org/10.1007/s11277-020-07697-1openalex-snapshot
Intrusion Detection in Mobile Sensor Networks: A Case Study for Different Intrusion Paths
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On-line elimination of local redundancies in evolving fuzzy systems
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Biofeedback: e-health prediction based on evolving fuzzy neural network and wearable technologies
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A fast learning algorithm for evolving neo-fuzzy neuron
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Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
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An interpretable evolving fuzzy neural network based on self-organized direction-aware data partitioning and fuzzy logic neurons
inferredcites →https://doi.org/10.1016/j.eswa.2021.114603openalex-snapshot
A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks
inferredcites →https://doi.org/10.1016/j.fss.2010.08.012openalex-snapshot
On-line incremental feature weighting in evolving fuzzy classifiers
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Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
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On-line assurance of interpretability criteria in evolving fuzzy systems – Achievements, new concepts and open issues
inferredcites →https://doi.org/10.1016/j.ins.2018.05.030openalex-snapshot
A method for autonomous data partitioning
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Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey
inferredcites →https://doi.org/10.1016/j.jnca.2018.06.016openalex-snapshot
Software-defined wireless sensor networks: A survey
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Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds
inferredcites →https://doi.org/10.1016/j.neucom.2005.12.126openalex-snapshot
Extreme learning machine: Theory and applications
inferredcites →https://doi.org/10.1016/j.neucom.2013.04.047openalex-snapshot
Uninorm based evolving neural networks and approximation capabilities
inferredcites →https://doi.org/10.1016/j.neucom.2021.04.065openalex-snapshot
An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities
inferredcites →https://doi.org/10.1016/j.neunet.2012.10.006openalex-snapshot
Evolving granular neural networks from fuzzy data streams
inferredcites →https://doi.org/10.1016/s0925-2312(00)00346-5openalex-snapshot
On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks
inferredcites →https://doi.org/10.1016/s0959-1524(00)00022-6openalex-snapshot
Recursive PCA for adaptive process monitoring
inferredcites →https://doi.org/10.1038/s41598-022-13061-zopenalex-snapshot
AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network
inferredcites →https://doi.org/10.1109/3477.969494openalex-snapshot
Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning
inferredcites →https://doi.org/10.1109/access.2019.2949579openalex-snapshot
GSMS: A Barrier Coverage Algorithm for Joint Surveillance Quality and Network Lifetime in WSNs
inferredcites →https://doi.org/10.1109/jsyst.2018.2794583openalex-snapshot
Border Surveillance With WSN Systems in a Distributed Manner
inferredcites →https://doi.org/10.1109/secon.2012.6196887openalex-snapshot
Regression as classification
inferredcites →https://doi.org/10.1109/tcyb.2020.2967462openalex-snapshot
Particle Swarm Optimized Autonomous Learning Fuzzy System
inferredcites →https://doi.org/10.1109/tfuzz.2009.2032364openalex-snapshot
An Evolving Fuzzy Neural Network Based on the Mapping of Similarities
inferredcites →https://doi.org/10.1109/tfuzz.2017.2769039openalex-snapshot
Autonomous Learning Multimodel Systems From Data Streams
inferredcites →https://doi.org/10.1109/tfuzz.2020.2988846openalex-snapshot
Multilayer Ensemble Evolving Fuzzy Inference System
inferredcites →https://doi.org/10.1109/tnn.2006.875977openalex-snapshot
Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes
inferredcites →https://doi.org/10.1177/0022343320959687openalex-snapshot
Territorial control in civil wars: Theory and measurement using machine learning
inferredcites →https://doi.org/10.1371/journal.pone.0147263openalex-snapshot
Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System
inferredcites →https://doi.org/10.3390/s19010041openalex-snapshot
Dynamic Barrier Coverage in a Wireless Sensor Network for Smart Grids
inferredcites →https://doi.org/10.3390/s22031070openalex-snapshot
LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k-Barriers for Intrusion Detection Using Wireless Sensor Network
inferredcites →https://doi.org/10.4108/eai.7-6-2021.2308629openalex-snapshot
Intrusion Detection In Wsn Using Modified AODV Algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4832892openalex-extracted
Future Frontiers in Deep Learning: From Static to Dynamic Neural Network Technologies
inferred← citeshttps://doi.org/10.1007/s13042-025-02654-5openalex-snapshot
Comparative analysis of CatBoost, LightGBM, XGBoost, RF, and DT methods optimised with PSO to estimate the number of k-barriers for intrusion detection in wireless sensor networks
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.111163openalex-snapshot
F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of k -barriers for intrusion detection
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109710openalex-snapshot
Neural network developments: A detailed survey from static to dynamic models
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107137openalex-snapshot
P2 CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k− barriers for intrusion detection
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120276openalex-snapshot
FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network
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IFNN: Enhanced interpretability and optimization in FNN via Adam algorithm
inferred← citeshttps://doi.org/10.1016/j.measen.2022.100613openalex-snapshot
A deep learning based feed forward artificial neural network to predict the K-barriers for intrusion detection using a wireless sensor network
inferred← citeshttps://doi.org/10.1088/1742-6596/2471/1/012013openalex-snapshot
Geometric formulations on wireless sensors based spatial protocol for intrusion detection using factor graphs
inferred← citeshttps://doi.org/10.1109/ic-sit63503.2024.10862964openalex-snapshot
Enhance the Intrusion Detection performance of WSN using RLA
inferred← citeshttps://doi.org/10.1109/sceecs68810.2026.11429946openalex-snapshot
Hybrid Soft Computing and Machine Learning Models for Intelligent Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/tfuzz.2023.3295055openalex-snapshot
Fuzzy Centered Explainable Network for Reinforcement Learning
inferred← citeshttps://doi.org/10.32604/cmc.2025.058822openalex-snapshot
A Barrier-Based Machine Learning Approach for Intrusion Detection in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.3390/app15136980openalex-snapshot
Fuzzy Neural Networks—A Review with Case Study
inferred← citeshttps://doi.org/10.3390/math10203872openalex-snapshot
An Evolving Fuzzy Neural Network Based on Or-Type Logic Neurons for Identifying and Extracting Knowledge in Auction Fraud
inferred← citeshttps://doi.org/10.3390/math13071156openalex-snapshot
GWO-FNN: Fuzzy Neural Network Optimized via Grey Wolf Optimization
inferred← citeshttps://doi.org/10.56726/irjmets48563openalex-snapshot
LEVERAGING FEEDFORWARD NEURAL NETWORKS FOR IMAGE PROCESSING: AN OVERVIEW AND ANALYSIS
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