VADGAN: An Unsupervised GAN Framework for Enhanced Anomaly Detection in Connected and Autonomous Vehicles
The utilization of Connected and Autonomous Vehicles (CAVs) is on the rise, driven by their
ability to provide vehicular services such as enhancing vehicle safety, aiding in intelligent …
ability to provide vehicular services such as enhancing vehicle safety, aiding in intelligent …
Multiplex key roles to disrupt criminal networks
The realization that society is structured in the form of networks caused a profound change
in the techniques and approaches applied in different areas of science. This impact is …
in the techniques and approaches applied in different areas of science. This impact is …
Inline optimization for injection molding processes for abrupt and gradual process behavior alterations
Y Lockner, C Hopmann - AIP Conference Proceedings, 2024 - pubs.aip.org
An automized anomaly and process condition drift recognition in injection molding could
significantly improve the inline optimization of injection molding processes. Two different …
significantly improve the inline optimization of injection molding processes. Two different …
Feature-Instance Based Fine-Tuning In Transfer Learning Model
RN Wanjiku - 2024 - ir.jkuat.ac.ke
Transfer learning is an in-depth learning approach that uses an existing model to classify a
new task. The approach involves using some target data on a fine-tuned model. Fine-tuning …
new task. The approach involves using some target data on a fine-tuned model. Fine-tuning …
[PDF][PDF] Complex network approach to high dimensional data analysis
C Masoller - fisica.edu.uy
Diapositiva 1 Page 1 Complex network approach to high dimensional data analysis Cristina
Masoller Departamento de Fisica, Universitat Politècnica de Catalunya Conference on Complex …
Masoller Departamento de Fisica, Universitat Politècnica de Catalunya Conference on Complex …