Recently, the Vision Transformer (ViT), which applied the transformer structure to the image
classification task, has outperformed convolutional neural networks. However, the high …

This paper proposes various techniques that help Vision Transformer (ViT) to learn small-
size datasets from scratch successfully. ViT, which applied the transformer structure to the …

Medical tools used to bolster decision-making by medical specialists who offer malaria
treatment include image processing equipment and a computer-aided diagnostic system …

Optimizing quantum circuits is challenging due to the very large search space of functionally
equivalent circuits and the necessity of applying transformations that temporarily decrease …

In optical transport networks, failure localization is usually triggered as a response to alarms
and significant anomalous behaviors. However, the recent evolution of network control and …

Variable refrigerant flow (VRF) systems are widely-adopted air conditioning systems. When
system faults occur in VRF systems, the efficiency of VRF system will drop drastically. This …

In healthcare, observing the features and areas of malaria in microscopic images is crucial
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …

Soft-failure localization frameworks typically use if-else rules to localize failures based on
the received telemetry data. However, in certain cases, particularly in disaggregated …

Cervical cancer is one of the most concerning carcinogenic diseases among women
worldwide. The condition is especially bad in low-or middle-income countries due to the lack …

Abstract Takagi–Sugeno–Kang (TSK) classifiers have achieved great success in many
applications due to their interpretability and transparent model reliability for users. At …