While illumination changes inevitably affect the quality of infrared and
visible image fusion, many outstanding methods still ignore this factor and
directly merge the information from source images, leading to modality bias in
the fused results. T... read more
Biometric capture devices have been utilised to estimate a person's alertness
through near-infrared iris images, expanding their use beyond just biometric
recognition. However, capturing a substantial number of corresponding images
related to alcoh... read more
Ocular disease affects billions of individuals unevenly worldwide. It
continues to increase in prevalence with trends of growing populations of
diabetic people, increasing life expectancies, decreasing ophthalmologist
availability, and rising costs... read more
Diffusion models have become a powerful backbone for text-to-image
generation, enabling users to synthesize high-quality visuals from natural
language prompts. However, they often struggle with complex prompts involving
multiple objects and global ... read more
Speech enhancement techniques face computational demands, well-developed datasets, and better quality speech signals. Deep learners help deal with different noise types; still, the challenges offered by environmental noises require highly efficient a... read more
Crowd evacuation simulation is critical for enhancing public safety, and
demanded for realistic virtual environments. Current mainstream evacuation
models overlook the complex human behaviors that occur during evacuation, such
as pedestrian collisi... read more
OBJECTIVE: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that disproportionately affects women and racial/ethnic minority groups. Predicting disease flares is essential for improving patient outcomes, yet few studies integrate bo... read more
BACKGROUND: Recent advancements of Artificial Intelligence (AI) are rapidly transforming clinical research. While this technology offers exciting opportunities, it amplifies existing concerns regarding the need for transparent methodology that foster... read more
This study evaluated the performance of three artificial intelligence (AI) algorithms-support vector machine (SVM), artificial neural network (ANN), and Random Forest (RF)-in sex estimation using 3D geometric morphometric data derived from nine perma... read more
CONTEXT: The unregulated use of anionic surfactants poses significant environmental risks, necessitating methods for their rapid and accurate identification. While fluorescence spectroscopy is a powerful tool, its application faces a critical challen... read more
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