Accurate segmentation of underwater pipelines is essential for marine infrastructure inspection. However, deep learning models often struggle with extreme underwater conditions such as low light, sea snow, and sea fog, leading to poor generalization ... read more
Today's deep neural networks have excellent performance on a variety of tasks. However, the emergence of adversarial examples has raised concerns about the security of the models. Attacks on real-world models are difficult because real-world models o... read more
Neuronal networks have driven advances in artificial intelligence, while molecular networks can provide powerful frameworks for energy-efficient information processing. Inspired by biological principles, we present a computational framework for mappi... read more
Automatic Modulation Classification (AMC) plays a critical role in the design of intelligent receivers for next-generation wireless systems, particularly in the context of 5G and beyond networks characterized by diverse multicarrier waveform technolo... read more
CRISPR-Cas enzymes must recognize a protospacer-adjacent motif (PAM) to edit a genomic site, greatly limiting the range of targetable sequences in a genome. Although engineering strategies to alter PAM specificity exist, they typically require labor-... read more
BACKGROUND: Rhinoplasty is a complex operation that warrants careful consideration of both functional and aesthetic principles. Despite its prevalence within plastic surgery and otolaryngology-head and neck surgery fields-its exposure and education a... read more
Distributed Acoustic Sensing (DAS) has emerged as a promising observational tool for a variety of geophysical monitoring applications. Its cost-effectiveness and high spatial sensor density offer a compelling alternative to traditional seismic sensor... read more
Accurate risk estimation under distribution shifts is critical for deploying machine learning models in real-world spatial applications, from ecological forecasting to medical image analysis. Conventional methods such as No Weighting (NW) and Importa... read more
Accurate prediction of dissolved oxygen (DO) is essential for the sustainable operation of drinking water treatment plants. Conventional approaches often rely on a single feature selection method, which can result in biased or inconsistent identifica... read more
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