Faculty of Engineering and Information Technology
-
Magnetic bearing motors are in high demand due to their ability to operate in special environments without mechanical friction and lubrication, effectively avoiding wear and contamination. To overc...
-
-
Message passing has become the dominant framework in graph representation learning. The essential idea of the message-passing framework is to update node embeddings based on the information aggrega...
-
Metamaterials are three-dimensional engineered structures that manipulate electromagnetic waves in bulk, while Metasurfaces are their two-dimensional counterparts, enabling wave control with reduce...
-
This study presents an advanced diagnostic methodology for assessing mechanical faults in high-performance jet engines using non-contact laser vibrometry and Fourier-based vi-bration analysis. Focu...
-
In this paper, a broadband achromatic focusing metasurface design scheme based on the equivalent circuit theory and optimized by a deep learning method is proposed. The designed metasurface element...
-
This study introduces the Adaptive Strategy Management (ASM) framework designed to enhance the efficiency of computationally expensive optimization processes by dynamically switching between multip...
-
Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Convolutional Neural Networks (CNNs) dem...
-
Prompt Tuning adapts frozen models to new tasks by prepending a few learnable embeddings to the input. However, it struggles with tasks that suffer from data scarcity. To address this, we explore C...
-
Isolated networked microgrids (INMGs) provide a sustainable solution for future energy demands by leveraging modern communication technologies to facilitate efficient coordination among isolated mi...