1 citations · 1 across the 3 of their papers we have counts for
5 papers
Industrial Steel Slag Flow Data Loading Method for Deep Learning Applications
Mert Sehri, Ana Cardoso, Francisco de Assis Boldt +1
Steel casting processes are vulnerable to financial losses due to slag flow contamination, making accurate slag flow condition detection essential. This study introduces a novel cr…
Selective Embedding for Deep Learning
Mert Sehri, Zehui Hua, Francisco de Assis Boldt +1
Deep learning has revolutionized many industries by enabling models to automatically learn complex patterns from raw data, reducing dependence on manual feature engineering. Howeve…
A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis
Efe Çakır, Patrick Dumond
Bearing faults in rotating machinery can lead to significant operational disruptions and maintenance costs. Modern methods for bearing fault diagnosis rely heavily on vibration ana…
Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring
Mert Sehri, Igor Varejão, Zehui Hua +5
ImageNet has become a reputable resource for transfer learning, allowing the development of efficient ML models with reduced training time and data requirements. However, vibration…
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks
Govind Vashishtha, Sumika Chauhan, Mert Sehri +4
The growing complexity of machinery and the increasing demand for operational efficiency and safety have driven the development of advanced fault diagnosis techniques. Among these,…