ENHANCING REMOTE SENSING SEMANTIC SEGMENTATION ACCURACY AND EFFICIENCY THROUGH TRANSFORMER AND KNOWLEDGE DISTILLATION

Enhancing Remote Sensing Semantic Segmentation Accuracy and Efficiency Through Transformer and Knowledge Distillation

In semantic segmentation tasks, the transition from convolutional neural networks (CNNs) to transformers is driven by the latter's superior ability to capture global semantic information in remote sensing images.However, most transformer methods face challenges such as slow inference speed and limitations in capturing local features.To addre

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A conceptual model for translating omic data into clinical action

Genomic, proteomic, epigenomic, and other "omic" data have the potential to enable precision medicine, also commonly referred to as personalized medicine.The volume and complexity of omic data are rapidly overwhelming human cognitive capacity, requiring innovative approaches to translate such Cargo Trousers data into patient care.Here, we outline a

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Whole Genome Sequencing and Comparative Genomic Analyses of Lysinibacillus pakistanensis LZH-9, a Halotolerant Strain with Excellent COD Removal Capability

Halotolerant microorganisms are promising in bio-treatment of hypersaline industrial wastewater.Four halotolerant bacteria strains were isolated from wastewater treatment plant, of which a strain LZH-9 could grow in the presence of up to 14% (w/v) NaCl, and it removed 81.9% chemical oxygen demand (COD) at 96 Day Moisturiser h after optimization.Who

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