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A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data
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inferred← citeshttps://doi.org/10.1177/03611981241302335openalex-snapshot
Bridging Artificial Intelligence and Railway Cybersecurity: A Comprehensive Anomaly Detection Review
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Efficient detection of data entry errors in large-scale public health surveys: an unsupervised machine learning approach
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Privacy and Security Enhancement of Smart Cities using Hybrid Deep Learning-enabled Blockchain
inferred← citeshttps://doi.org/10.12794/metadc2137571openalex-snapshot
Development and Utilization of Big Bridge Data for Predicting Deck Condition Rating Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1371/journal.pone.0317726openalex-snapshot
Model interpretability on private-safe oriented student dropout prediction
inferred← citeshttps://doi.org/10.15587/1729-4061.2024.317000openalex-snapshot
Design of an intelligent module for detecting signs of information security threats and the emergence of unreliable data
inferred← citeshttps://doi.org/10.18196/jrc.v4i5.19640openalex-snapshot
Application of Machine Learning in Healthcare and Medicine: A Review
inferred← citeshttps://doi.org/10.18273/revuin.v23n2-2024007openalex-snapshot
El internet de las cosas y la industria 4.0- Aplicaciones en el campo de la ingeniería industrial
inferred← citeshttps://doi.org/10.20517/jsegc.2022.11openalex-snapshot
A case study in smart manufacturing: predictive analysis of cure cycle results for a composite component
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DDANet: Deep DenseAttention Learning-Based for Intrusion Detection in Industrial Control Systems
inferred← citeshttps://doi.org/10.2139/ssrn.5383666openalex-snapshot
A Data-Driven Anomaly Detection Framework for Power Generation Systems in Bangladesh: Leveraging Large Language Models, Autoencoders, and Optimization Techniques
inferred← citeshttps://doi.org/10.23919/fruct61870.2024.10516396openalex-snapshot
Curriculum Learning-Based Multivariate Time Series Anomaly Detection
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UTILIZING A UNIQUE DEEP LEARNING TECHNIQUE FOR DETECTING ANOMALIES IN INDUSTRIAL AUTOMATION SYSTEMS
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Research on anomaly detection and correction of power metering data based on machine learning algorithm
inferred← citeshttps://doi.org/10.26634/jcom.11.4.20650openalex-snapshot
Anomaly detection system for network transport with machine learning approach
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Pemantauan Daya Luaran Panel Surya Secara Jarak Jauh Melalui Aplikasi Berbasis Website
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An Optimized Deep Learning Approach for Improving Airline Services
inferred← citeshttps://doi.org/10.32604/cmc.2024.054826openalex-snapshot
Advancing Autoencoder Architectures for Enhanced Anomaly Detection in Multivariate Industrial Time Series
inferred← citeshttps://doi.org/10.3390/a16020085openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/agriengineering7040097openalex-snapshot
Harvester Maintenance Prediction Tool: Machine Learning Model Based on Mechanical Features
inferred← citeshttps://doi.org/10.3390/app122110856openalex-snapshot
An Improved Method of Polyp Detection Using Custom YOLOv4-Tiny
inferred← citeshttps://doi.org/10.3390/app122111193openalex-snapshot
An ICS Traffic Classification Based on Industrial Control Protocol Keyword Feature Extraction Algorithm
inferred← citeshttps://doi.org/10.3390/app13074203openalex-snapshot
Anomaly Detection Method for Unknown Protocols in a Power Plant ICS Network with Decision Tree
inferred← citeshttps://doi.org/10.3390/app14062304openalex-snapshot
Automating the Analysis of Negative Test Verdicts: A Future-Forward Approach Supported by Augmented Intelligence Algorithms
inferred← citeshttps://doi.org/10.3390/app15073507openalex-snapshot
Anomaly Detection Method Considering PLC Control Logic Structure for ICS Cyber Threat Detection
inferred← citeshttps://doi.org/10.3390/asi7020018openalex-snapshot
Unsupervised Learning Approach for Anomaly Detection in Industrial Control Systems
inferred← citeshttps://doi.org/10.3390/books978-3-0365-8265-8openalex-snapshot
AI for Cybersecurity: Robust models for Authentication, Threat and Anomaly Detection
inferred← citeshttps://doi.org/10.3390/electronics10050629openalex-snapshot
Blockchain Applications to Improve Operation and Security of Transportation Systems: A Survey
inferred← citeshttps://doi.org/10.3390/electronics10161994openalex-snapshot
Longitudinal Control for Connected and Automated Vehicles in Contested Environments
inferred← citeshttps://doi.org/10.3390/electronics11081213openalex-snapshot
A Study on Performance Metrics for Anomaly Detection Based on Industrial Control System Operation Data
inferred← citeshttps://doi.org/10.3390/electronics12020310openalex-snapshot
Spiking Neural-Networks-Based Data-Driven Control
inferred← citeshttps://doi.org/10.3390/electronics12030643openalex-snapshot
A Meta-Model to Predict and Detect Malicious Activities in 6G-Structured Wireless Communication Networks
inferred← citeshttps://doi.org/10.3390/electronics12061313openalex-snapshot
Feature Interaction-Based Reinforcement Learning for Tabular Anomaly Detection
inferred← citeshttps://doi.org/10.3390/electronics12061356openalex-snapshot
Predictive Maintenance for Distribution System Operators in Increasing Transformers’ Reliability
inferred← citeshttps://doi.org/10.3390/electronics12153300openalex-snapshot
Anomaly Detection in 6G Networks Using Machine Learning Methods
inferred← citeshttps://doi.org/10.3390/electronics13010158openalex-snapshot
Dynamic Data Abstraction-Based Anomaly Detection for Industrial Control Systems
inferred← citeshttps://doi.org/10.3390/electronics13163239openalex-snapshot
False Data Injection Attack Detection, Isolation, and Identification in Industrial Control Systems Based on Machine Learning: Application in Load Frequency Control
inferred← citeshttps://doi.org/10.3390/en16114504openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/engproc2024070025openalex-snapshot
Machine Learning for Anomaly Detection in Industrial Environments
inferred← citeshttps://doi.org/10.3390/info13070322openalex-snapshot
An Intrusion Detection Method for Industrial Control System Based on Machine Learning
inferred← citeshttps://doi.org/10.3390/info13100450openalex-snapshot
Anomaly Detection Approach in Industrial Control Systems Based on Measurement Data
inferred← citeshttps://doi.org/10.3390/iot6030056openalex-snapshot
AI-Driven Attack Detection and Cryptographic Privacy Protection for Cyber-Resilient Industrial Control Systems
inferred← citeshttps://doi.org/10.3390/make5030051openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math11092048openalex-snapshot
Robust Intrusion Detection for Industrial Control Systems Using Improved Autoencoder and Bayesian Gaussian Mixture Model
inferred← citeshttps://doi.org/10.3390/rs13122396openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs16020367openalex-snapshot
Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network
inferred← citeshttps://doi.org/10.3390/s21238119openalex-snapshot
Application Perspective on Cybersecurity Testbed for Industrial Control Systems
inferred← citeshttps://doi.org/10.3390/s22114143openalex-snapshot
Integration of Digital Twin, Machine-Learning and Industry 4.0 Tools for Anomaly Detection: An Application to a Food Plant
inferred← citeshttps://doi.org/10.3390/s24237508openalex-snapshot
A Multivariable Probability Density-Based Auto-Reconstruction Bi-LSTM Soft Sensor for Predicting Effluent BOD in Wastewater Treatment Plants
inferred← citeshttps://doi.org/10.3390/su13179597openalex-snapshot
A Review of Research Works on Supervised Learning Algorithms for SCADA Intrusion Detection and Classification
inferred← citeshttps://doi.org/10.38124/ijisrt/ijisrt24mar093openalex-snapshot
Enhanced Anomaly Detection Framework for 6G Software-Defined Networks: Integration of Machine Learning, Deep Neural Networks, and Dynamic Telemetry
inferred← citeshttps://doi.org/10.3934/aci.2021004openalex-snapshot
Measurement data intrusion detection in industrial control systems based on unsupervised learning
inferred← citeshttps://doi.org/10.4018/979-8-3373-2252-0.ch004openalex-snapshot
Anomaly Detection With Machine Learning
inferred← citeshttps://doi.org/10.4018/979-8-3373-3241-3.ch013openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/979-8-3693-2931-3.ch003openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/979-8-3693-2931-3.ch014openalex-snapshot
Exploring Machine Learning Solutions for Anomaly Detection in 6G Communication Systems
inferred← citeshttps://doi.org/10.4018/979-8-3693-4382-1.ch009openalex-snapshot
The Prospects of Artificial Intelligence and Machine Learning in the Stock Market
inferred← citeshttps://doi.org/10.4018/ijaci.333853openalex-snapshot
Threat Attribution and Reasoning for Industrial Control System Asset
inferred← citeshttps://doi.org/10.48175/ijarsct-19900dopenalex-snapshot
A Novel Generative AI-Based Approach for Robust Anomaly Identification in High-Dimensional Dataset
inferred← citeshttps://doi.org/10.48550/arxiv.2307.05638openalex-snapshot
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
inferred← citeshttps://doi.org/10.5120/ijca2021921347openalex-snapshot
Effectiveness of Artificial Intelligence in Stock Market Prediction based on Machine Learning
inferred← citeshttps://doi.org/10.52783/jes.3308openalex-snapshot
Paediatric Activity Anomaly Detection using CNN-XGBoost for Early Intervention and Patient Safety
inferred← citeshttps://doi.org/10.54097/97cgpa14openalex-snapshot
AI-Driven Fault Diagnosis and System Resilience for Offshore Oil Drilling Platforms
inferred← citeshttps://doi.org/10.54254/2755-2721/36/20230454openalex-snapshot
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inferred← citeshttps://doi.org/10.56294/dm20261448openalex-snapshot
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Evaluation of Machine Learning Algorithms for Intrusion Detection in SCADA Systems
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Uma Proposta de Detecção de Ataques Cibernéticos em Sistemas de Controle Industrial (ICS)
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.