Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
The deployment of advanced deep learning models for medical image segmentation is often constraine...
Despite the rapid development of safety alignment techniques for LLMs, defending against multi-tur...
Resting-state functional magnetic resonance imaging (rs-fMRI) and its derived functional connectiv...
Immersed boundary methods have attracted substantial interest in the last decades due to their pot...
This study presents a narrative review of the use of digital health technologies (DHTs) and artifi...
This work presents a new framework for approximating Caputo fractional derivatives (FDs) of any po...
Secure Multi-Party Computation (MPC) is an important enabling technology for data privacy in moder...
Automated diagnostic systems (ADS) have shown significant potential in the early detection of poly...
Surface parametrization is a crucial part in various fields, having applications in computer graph...
Large language models (LLMs) have emerged as powerful tools in natural language processing (NLP), ...
Delineating farmland boundaries is essential for agricultural management such as crop monitoring a...
Monte-Carlo (MC) Dropout provides a practical solution for estimating predictive distributions in ...
Large Language Models (LLMs) hold promise for advancing legal practice by automating complex tasks...
In recent years, Semantic Communication (SemCom), which aims to achieve efficient and reliable tra...
Quantum security improves cryptographic protocols by applying quantum mechanics principles, assuri...
Compared with standard learning, adversarially robust learning is widely recognized to demand sign...
Out-of-distribution (OOD) detection holds significant importance across many applications. While s...
Power systems naturally experience disturbances, some of which can damage equipment and disrupt co...
Accurately predicting wave-structure interactions is critical for the effective design and analysi...
We begin by addressing the time-domain full-waveform inversion using the adjoint method. Next, we ...
Data imputation is crucial for addressing challenges posed by missing values in multivariate time ...