Using Ensemble Learning for Anomaly Detection in Cyber–Physical Systems
N Jeffrey, Q Tan, JR Villar - Electronics, 2024 - mdpi.com
The swift embrace of Industry 4.0 paradigms has led to the growing convergence of
Information Technology (IT) networks and Operational Technology (OT) networks …
Information Technology (IT) networks and Operational Technology (OT) networks …
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
Isolation Forest based on minimal spanning tree
Ł Gałka, P Karczmarek, M Tokovarov - IEEE Access, 2022 - ieeexplore.ieee.org
Detecting anomalies in data sets has been one of the most studied issues in modern data
analysis. Therefore, there is a plethora of applications in a very wide range of fields of …
analysis. Therefore, there is a plethora of applications in a very wide range of fields of …
Video anomaly detection using transformers and ensemble of convolutional auto-encoders
Video anomaly detection is the identification of outliers deviating from the norm within a
series of videos. The spatio-temporal dependencies and unstructured nature of videos make …
series of videos. The spatio-temporal dependencies and unstructured nature of videos make …
Image classification based on self-distillation
Convolutional neural networks have been widely used in various application scenarios. To
extend the application to some areas where accuracy is critical, researchers have been …
extend the application to some areas where accuracy is critical, researchers have been …
Open-set domain adaptation by deconfounding domain gaps
Abstract Open-Set Domain Adaptation (OSDA) aims to adapt the model trained on a source
domain to the recognition tasks in a target domain while shielding any distractions caused …
domain to the recognition tasks in a target domain while shielding any distractions caused …
Video anomaly detection based on attention and efficient spatio-temporal feature extraction
An anomaly is a pattern, behavior, or event that does not frequently happen in an
environment. Video anomaly detection has always been a challenging task. Home security …
environment. Video anomaly detection has always been a challenging task. Home security …
Enhancing Physical Layer Communication Security through Generative AI with Mixture of Experts
AI technologies have become more widely adopted in wireless communications. As an
emerging type of AI technologies, the generative artificial intelligence (GAI) gains lots of …
emerging type of AI technologies, the generative artificial intelligence (GAI) gains lots of …
Improving Network Traffic Anomaly Detection through Data Denoising and Unsupervised Learning
J Talbott, J Palicka, A Sheardown… - 2024 IEEE 14th …, 2024 - ieeexplore.ieee.org
Recent advances in technology have allowed people to be more connected, but it also
makes them more vulnerable to cyber threats. Hence, advanced threat detection systems …
makes them more vulnerable to cyber threats. Hence, advanced threat detection systems …
[PDF][PDF] Improving Image Reconstruction using Incremental PCA-Embedded Convolutional Variational Auto-Encoder
A Azizi - 2024 - dspace.zcu.cz
Traditional image reconstruction methods often face challenges like noise, artifacts, and
blurriness, requiring handcrafted algorithms for effective resolution. In contrast, deep …
blurriness, requiring handcrafted algorithms for effective resolution. In contrast, deep …