We propose an angle-multiplexed holography based on an optical diffractive neural network. The method expands the three-dimensional optical design space through a multi-level cascaded diffractive structure, offering enhanced optical field modulation ... read more
In a dual-beam super-resolution laser direct-writing lithography system, the flatness error of the motion stage during XY-plane scanning (small fluctuations along the Z direction) is a critical factor that degrades writing accuracy. This work present... read more
The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomograp... read more
Sign language translation systems have long aimed to bridge the communication between signers and nonsigners. However, preliminary systems rely on glove-type wearables or wired sensor arrays, which constrain hand movement, reduce comfort, and require... read more
The SARS-CoV-2 main protease (Mpro, also known as 3CLpro) is an attractive antiviral drug target due to its essential role in viral replication and absence of human homologues. Development of new coronavirus-specific Mpro inhibitors will be important... read more
The primary goal of variceal screening in patients with cirrhosis is to identify high-risk esophageal varices (HREV) and implement preventative measures. Historically, endoscopic screening was recommended for all patients with cirrhosis; however, thi... read more
IEEE transactions on pattern analysis and machine intelligence
May 1, 2026
Communication-efficient distributed learning has achieved remarkable progress in training large-scale deep neural networks across numerous clients. However, in heterogeneous environments-where local data distributions vary significantly-the empirical... read more
IEEE transactions on visualization and computer graphics
May 1, 2026
Rule-based machine learning models, including those derived from decision trees or forests, are often considered inherently interpretable. However, human understanding is hindered by model size, rule complexity, and interdependencies between features... read more
Families who speak a language other than English (LOE) are a growing population in the United States. Children of these families are at risk of disparities in clinical settings. This narrative review synthesizes evidence from outpatient and inpatient... read more
The emergence and stable evolution of cooperation among self-interested individuals is a central issue spanning evolutionary biology, social dynamics, and artificial intelligence. Conventional imitation-based evolutionary game models, lacking mechani... read more
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