Anomaly Detection

Content in this category explores various methodologies and technologies for anomaly detection across multiple domains, including cloud systems, cybersecurity, healthcare, and IoT. It highlights the importance of machine learning and AI in identifying unusual patterns, improving model accuracy, and enhancing decision-making in real-time. The collection includes presentations, research papers, and frameworks discussing innovative approaches, challenges like class imbalance, and advancements in feature engineering to bolster systems against potential threats.

Boosting industrial internet of things intrusion detection: leveraging machine learning and feature selection techniques

IAESIJAI
Boosting industrial internet of things intrusion detection: leveraging machine learning and feature selection techniques
2d ago, 19 views

2d ago, 19 views

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Detection-First SIEM: Rule Types, Dashboards, and Threat-Informed Strategy

ReZa AdineH
Detection-First SIEM: Rule Types, Dashboards, and Threat-Informed Strategy
1w ago, 100 views

1w ago, 100 views

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ThirdEye Data - Case Study AI-Powered Image Processing for Predictive Maintenance in the Energy Sector.pdf

ThirdEye Data
ThirdEye Data - Case Study AI-Powered Image Processing for Predictive Maintenance in the Energy Sector.pdf
4w ago, 12 views

4w ago, 12 views

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A novel deep anomaly detection approach for intrusion detection in futuristic network

IAESIJAI
A novel deep anomaly detection approach for intrusion detection in futuristic network
4w ago, 1 view

4w ago, 1 view

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Log-Based Anomaly Detection: Enhancing System Reliability with Machine Learning

Mohammed BEKKOUCHE
Log-Based Anomaly Detection: Enhancing System Reliability with Machine Learning
1m ago, 205 views

1m ago, 205 views

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Enhancing video anomaly detection for human suspicious behavior through deep hybrid temporal spatial network

IAESIJAI
Enhancing video anomaly detection for human suspicious behavior through deep hybrid temporal spatial network
1m ago, 11 views

1m ago, 11 views

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Real-time anomaly detection in electric motor operation noise

IAESIJAI
Real-time anomaly detection in electric motor operation noise
1m ago, 6 views

1m ago, 6 views

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Anomaly Detection in Smart Home IoT Systems Using Machine Learning Approaches

AI Publications
Anomaly Detection in Smart Home IoT Systems Using Machine Learning Approaches
3m ago, 24 views

3m ago, 24 views

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Edge AI: Bringing Intelligence to Embedded Devices

Speck&Tech
Edge AI: Bringing Intelligence to Embedded Devices
4m ago, 147 views

4m ago, 147 views

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An Adaptive Hierarchical Tree-Based Clustering Approach to Outlier Detection in ETF-Focused Financial Time-Series

mlaij
An Adaptive Hierarchical Tree-Based Clustering Approach to Outlier Detection in ETF-Focused Financial Time-Series
4m ago, 8 views

4m ago, 8 views

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Feature level fusion of multi-source data for network intrusion detection

IAESIJAI
Feature level fusion of multi-source data for network intrusion detection
4m ago, 10 views

4m ago, 10 views

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TASK-DECOMPOSITION BASED ANOMALY DETECTION OF MASSIVE AND HIGH-VOLATILITY SESSION DATA ON ACADEMIC BACKBONE NETWORK

samueljackson3773
TASK-DECOMPOSITION BASED ANOMALY DETECTION OF MASSIVE AND HIGH-VOLATILITY SESSION DATA ON ACADEMIC BACKBONE NETWORK
5m ago, 111 views

5m ago, 111 views

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Fuzzified input data tuning for agriculture commodities price prediction

IAESIJAI
Fuzzified input data tuning for agriculture commodities price prediction
6m ago, 4 views

6m ago, 4 views

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AI Applications in Education - Current and Future Trends - Updated December 2024.pdf

Sanjoy Sanyal
AI Applications in Education - Current and Future Trends - Updated December 2024.pdf
7m ago, 189 views

7m ago, 189 views

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VictoriaMetrics Anomaly Detection Updates: Q4 2024

VictoriaMetrics
VictoriaMetrics Anomaly Detection Updates: Q4 2024
7m ago, 25 views

7m ago, 25 views

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Extreme value modelling of feature residuals for anomaly detection in dynamic graphs

CSIRO
Extreme value modelling of feature residuals for anomaly detection in dynamic graphs
7m ago, 17 views

7m ago, 17 views

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AI-DRIVEN PERFORMANCE TESTING FRAMEWORK FOR MOBILE APPLICATIONS

ijseajournal
AI-DRIVEN PERFORMANCE TESTING FRAMEWORK FOR MOBILE APPLICATIONS
8m ago, 27 views

8m ago, 27 views

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A benchmark of health insurance fraud detection using machine learning techniques

IAESIJAI
A benchmark of health insurance fraud detection using machine learning techniques
8m ago, 24 views

8m ago, 24 views

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