Deep learning-based intelligent ship surveillance technology has become an indispensable component of modern maritime intelligent perception, with its adversarial defense capabilities serving as a crucial guarantee for reliable and stable monitoring. However, current research on deep learning-based ship surveillance primarily focuses on minimizing the discrepancy between predicted labels and ground truth labels, overlooking th...

Intelligent ship monitoring technology, driven by its exceptional data fitting ability, has emerged as a crucial component within the field of intelligent maritime perception. However, existing deep learning-based ship monitoring studies primarily focus on minimizing the discrepancy between predicted and true labels during model training. This approach, unfortunately, restricts the model to learning only from labeled ship samp...

Polyphosphate‐ and polyhydroxyalkanoate (PHA)‐accumulating traits of predominant microorganisms in an efficient enhanced biological phosphorus removal (EBPR) process were investigated systematically using a suite of non‐culture‐dependent methods. Results of 16S rDNA clone library and fluorescence in situ hybridization (FISH) with rRNA‐targeted, group‐specific oligonucleotide probes indicated that the microbial community consis...