Adsorption Performance and Mechanism of H3PO4-Modified Banana Peel Hydrothermal Carbon on Pb(II)
T Bai, Y Yao, J Zhao, L Tian, L Zhang - Separations, 2024 - mdpi.com
This study investigated the adsorption performance of hydrothermal carbon derived from
banana peel and modified with different concentrations of phosphoric acid solution, then used …
banana peel and modified with different concentrations of phosphoric acid solution, then used …
The adsorption of Pb (II) from aqueous solution using KOH-modified banana peel hydrothermal carbon: adsorption properties and mechanistic studies
T Bai, J Zhao, L Tian, L Zhang, Z Jin - Materials, 2024 - mdpi.com
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. …
carbon modified with a KOH solution for lead ions in aqueous solution were studied. …
DecoupleNet: Decoupled network for domain adaptive semantic segmentation
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 …
expensive pixel-wise annotation. It uses a labeled source domain dataset as well as unlabeled …
Lisa: Reasoning segmentation via large language model
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 …
still rely on explicit human instruction or pre-defined categories to identify the target objects …
Semi-supervised semantic segmentation with directional context-aware consistency
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 …
performance highly depends on a large number of pixel-level annotations. Therefore, in this …
Generalized few-shot semantic segmentation
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 …
making it hard to quickly adapt to novel classes not satisfying this condition. Few-Shot …
Guided point contrastive learning for semi-supervised point cloud semantic segmentation
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 …
network models, which highly rely on large-scale annotated data for training. To address the …
Towards Better Modeling With Missing Data: A Contrastive Learning-Based Visual Analytics Perspective
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 …
current approaches are categorized into feature imputation and label prediction and are …
Screening for Bongkrekic Acid in Food Using a Monoclonal Antibody-Based Indirect Competitive Enzyme-Linked Immunosorbent Assay (icELISA)
HL Wu, J Chen, F Pan, QS Xia, SW Zhang… - Analytical …, 2024 - Taylor & Francis
Pseudomonas cocovenenans subsp. farinofermentans is a pathogenic bacterium that causes
the poisoning of fermented rice products. Its isomeric products, bongkrekic acid (BA) and …
the poisoning of fermented rice products. Its isomeric products, bongkrekic acid (BA) and …
Learning context-aware classifier for semantic segmentation
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 …
scenes, thus the fixed classifier might not be able to well address varying feature distributions …