Most urban green space (UGS) studies focus on city-level analysis, which is not conducive to urban renewal. We developed a new deep learning approach for characterising the structural evolution of block-scale UGS in urban renewal scenarios. Taking Beijing and Shanghai as models, we first segment...
2024-10-22 Denoise-I2W: Mapping Images to Denoising Words for Accurate Zero-Shot Composed Image Retrieval Yuanmin Tang et.al. 2410.17393 null 2024-10-20 GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning Haiwen Diao et.al. 2410.15266 link 2024-10-19 Visual Naviga...
We harness GARCH to unravel the volatility nuances of time series changes. The processed data undergoes a transformative dance with CEEMDAN, a signal decomposition virtuoso, significantly decluttering the complexity. Finally, the baton passes to GCN, orchestrating the learning of data features. Our mod...
Phylogenetic trees built using CNAs offer insights into the heterogeneity and evolutionary dynamics of genetic alterations during cancer initiation and progression and have been used to unravel ITH, decipher the molecular mechanisms of metastasis, understand treatment resistance, and inform early cancer detec...
Subsequent density functional theory calculations unravelled mechanistic knowledge that the rate-determining step depends on the olefin reactivity in the insertion step. Therefore, the olefin insertion step can be involved in the overall enantioselectivity determination. These results highlight the ...
it is challenging to unravel the intricate mechanisms underlying the network’s weights and the activation values of hidden neurons in relation to the problem at hand. This sets ANNs apart from classical statistical models, as determining the relationship between each explanatory variable and the depen...
STdGCN has the potential to greatly enhance our understanding of tissue spatial architecture and provide invaluable support for downstream analyses at the cellular level. With its ability to unravel the intricate composition of cell types within ST datasets, STdGCN opens new avenues for exploring the...
used molecular dynamics (MD) simulations to unravel the excellent desalination performance of MoS2 nanopores [24]. Farimani et al. showed that both single-layer MoS2 and MoSe2 outperformed graphene in desalination [25], a finding that was substantiated by our study [26]. Both experimental and ...
Integrative graphic overviews of copy number, structural variant, and driver changes were produced for all samples (Fig. 5a, b, Additional file 1: Figs. S8, S9). Fig. 5 Copy number overview and driver phylogenies in GP5 and GP12. a Genome-wide cancer and tissue normal somatic copy number...
Accelerated design of hard-coating materials requires state-of-the-art computational tools, which include data-driven techniques, building databases, and training machine learning models. We develop a heavily automated high-throughput workflow to build a