Deer hunters can have a strong season and still walk away feeling uneasy, and chronic wasting disease is a... The post ...

Abstract: Variable-rate coding is challenging but indispensable for learned image compression (LIC) that is in nature characterized by nonlinear transform coding (NTC). Existing methods for ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Sensors for monitoring volatile organic compounds are commonly employed for air ...

1 School of Nursing, Tung Wah College, Hong Kong, Hong Kong SAR, China 2 S.K.Yee School of Health Sciences, Saint Francis University, Tseung Kwan O, Hong Kong SAR, China Background: Research related ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

Abstract: Inverse problems in medical imaging, such as undersampled magnetic resonance imaging (MRI) and sparse-view computed tomography (CT) reconstruction, are essential yet challenging tasks for ...

Introduction Anxiety disorders are among the most common co-occurring mental health conditions experienced by autistic youth. Without appropriate intervention, anxiety disorders and related ...

Background: Human papillomavirus (HPV) infection is the primary cause of cervical cancer, and HPV self-sampling has emerged as a novel screening method with the potential to increase screening ...

In this talk, we introduce a sampling-based semi-Lagrangian adaptive rank (SLAR) method, which leverages a cross-approximation strategy - or pseudo-skeleton decomposition - to efficiently represent ...

TracePicker is an optimization-based online sampler designed to improve the quality of sampled traces while alleviating storage burden. TracePicker incorporates a streaming anomaly detector to enhance ...