Accurate system identification is crucial for reducing trajectory drift in
bipedal locomotion, particularly in reinforcement learning and model-based
control. In this paper, we present a novel control framework that integrates
system identification... read more
IEEE journal of biomedical and health informatics
Aug 6, 2025
Healthcare organizations have a high volume of sensitive data and traditional technologies have limited storage capacity and computational resources. The prospect of sharing healthcare data for machine learning is more arduous due to firm regulations... read more
LLM-powered conversational assistants are often deployed in a
one-size-fits-all manner, which fails to accommodate individual user
preferences. Recently, LLM personalization -- tailoring models to align with
specific user preferences -- has gained ... read more
Nowadays, many fields, such as healthcare, farming, factories, transportation, cities, and homes are connected via network devices. These systems are configured in open environments and are prone to malicious attacks. It is important to protect these... read more
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t... read more
As artificial intelligence becomes increasingly integrated into digital
learning environments, the personalization of learning content to reflect
learners' individual career goals offers promising potential to enhance
engagement and long-term motiv... read more
Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression, enabling the calculation of concentrations without requiring prior knowledge of the number of components in a mixture. Complex-valued ILS further en... read more
Cardiovascular risk stratification based on traditional risk factors lacks precision at the individual level. While coronary artery calcium (CAC) scoring enhances risk prediction by detecting calcified atherosclerotic plaques, it may underestimate r... read more
Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more
The integration of artificial intelligence (AI) and pervasive computing offers new opportunities to sense mental health symptoms and deliver just-in-time adaptive interventions via mobile devices. This pilot study tested personalized versus generaliz... read more
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