Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

Background Epilepsy is one of the most commonly seen neurologic disorders worldwide
and has generally caused seizures. Electroencephalography (EEG) is widely used in …

In recent years, the application of Large Language Models (LLMs) in healthcare has shown
significant promise in improving the accessibility and dissemination of medical knowledge …

This article presents novel designs of autonomous UAV prototypes specifically developed
for inspecting GPS-denied tunnel construction environments with dynamic human and …

Multimodality refers to the utilization of different data types with different representational
modes. Medical and health data are becoming more and more multimodal. Emerging …

In response to the COVID-19 pandemic, the integration of interpretable machine learning
techniques has garnered significant attention, offering transparent and understandable …

The problem of adopting quantum-resistant cryptographic network protocols or post-
quantum cryptography (PQC) is critically important to democratizing quantum computing …

This research focused on assessing the potential of hyperspectral remote sensing
technology in the early identification of wheat leaf rust. The findings revealed that when …

This paper investigates the changes in the dissemination trends of Tang poetry before and
after the COVID-19 pandemic, employing the ARIMA model for time series forecasting due to …

During the development of in vitro diagnostic reagent project, resource management and
risk assessment are key factors to ensure the project success. Especially in the multi-project …