Change Detection of Urban GIS Maps Using Multi-scale U-Net-Based Attention Neural Network Architecturedoi:10.1007/s42979-022-01530-1The unplanned expansion of urban settlements has caused adverse effects on living environments. High quality of remote sensing data is available and monitoring building ...
Spatial omics technologies can reveal the molecular intricacy of the brain. While mass spectrometry imaging (MSI) provides spatial localization of compounds, comprehensive biochemical profiling at a brain-wide scale in three dimensions by MSI with single
Pulmonary nodules are the main manifestation of early lung cancer. Therefore, accurate detection of nodules in CT images is vital for lung cancer diagnosis. A 3D automatic detection system of pulmonary nodules based on multi-scale attention networks is p
Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation Article13 July 2020 Notes 1. http://braintumorsegmentation.org/. 2. https://torchio.readthedocs.io/. 3. https://github.com/neuronflow/BraTS-Toolkit. ...
In this study, we propose iDNA-ABF, a multi-scale deep biological language learning model that enables the interpretable prediction of DNA methylations based on genomic sequences only. Benchmarking comparisons show that our iDNA-ABF outperforms state-of-
Quasi-static numerical simulations of slip along a fault interface characterized by multiscale heterogeneity (fractal patch model) are carried out under the assumption that the characteristic distance in the slip-dependent frictional law is scale-dependent. We also consider slip-dependent stress accumulati...
et al. A Comparative Analysis of Certainty Factor-Based Machine Learning Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan County, China. Remote Sensing, 2022, 14(14): 3259. DOI:10.3390/rs14143259 171. Gupta, S.K., Shukla, D.P. Effect of scale and mapping unit on ...
Assessment of landslide susceptibility at a local spatial scale applying the multi-criteria analysis and GIS: a case study from Slovakia.Geom. Nat. Hazards Risk 11 (1), 131-148. [123] Xiao, T., Yin, K., Yao, T., Liu, S., 2019. Spatial prediction of landslide susceptibility using ...
Symmetries in physical theories denote invariance under some transformation, such as self-similarity under a change of scale. The renormalization group provides a powerful framework to study these symmetries, leading to a better understanding of the universal properties of phase transitions. However, the...
Multi-scale macroalgae growth models are required for the efficient design of sustainable, economically viable, and environmentally safe farms. Here, we develop a multi-scale model for Ulva sp. macroalgae growth and nitrogen sequestration in an intensive