This study investigated the adsorption performance of hydrothermal carbon derived from
banana peel and modified with different concentrations of phosphoric acid solution, then used …

Adopting banana peel as a raw material, the adsorption properties of banana peel hydrothermal
carbon modified with a KOH solution for lead ions in aqueous solution were studied. …

Unsupervised domain adaptation in semantic segmentation alleviates the reliance on
expensive pixel-wise annotation. It uses a labeled source domain dataset as well as unlabeled …

Although perception systems have made remarkable advancements in recent years they
still rely on explicit human instruction or pre-defined categories to identify the target objects …

Semantic segmentation has made tremendous progress in recent years. However, satisfying
performance highly depends on a large number of pixel-level annotations. Therefore, in this …

Training semantic segmentation models requires a large amount of finely annotated data,
making it hard to quickly adapt to novel classes not satisfying this condition. Few-Shot …

Rapid progress in 3D semantic segmentation is inseparable from the advances of deep
network models, which highly rely on large-scale annotated data for training. To address the …

Missing data can pose a challenge for machine learning (ML) modeling. To address this,
current approaches are categorized into feature imputation and label prediction and are …

Pseudomonas cocovenenans subsp. farinofermentans is a pathogenic bacterium that causes
the poisoning of fermented rice products. Its isomeric products, bongkrekic acid (BA) and …

Semantic segmentation is still a challenging task for parsing diverse contexts in different
scenes, thus the fixed classifier might not be able to well address varying feature distributions …