Results 151 to 160 of about 18,832 (283)
Detection model of saturation attacks based on GCN.
Detection model of saturation attacks based on GCN.
Hongzhen Yang (14639087) +3 more
core +1 more source
Putting the Femme in Feminist: Trans Feminism and the ‘Male Lesbian’ in the American Second Wave
Gender &History, EarlyView.ABSTRACT A slur, a joke or a post‐structuralist case of mistaken identity. To the extent that the male lesbian has been discussed, she has figured dismissively. Yet throughout the period historicised as American feminism's second wave, potentially thousands of trans femmes organised under this identity. Despite being entirely overlooked in scholarship,
Aino Pihlak, Emily Cousens
wiley +1 more source
Bayesian-Optimized GCN-BiLSTM-Adaboost Model for Power-Load Forecasting
Accurate and stable power-load forecasting is crucial for optimizing generation scheduling and ensuring the economic and secure operation of power grids.
Jiarui Li +3 more
core +1 more source
VQ‐Style: Disentangling Style and Content in Motion with Residual Quantized Representations
Computer Graphics Forum, EarlyView.Abstract Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effective disentanglement of the style and content in human motion data to facilitate style transfer.
Fatemeh Zargarbashi +5 more
wiley +1 more source
Computer Graphics Forum, EarlyView.Abstract Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results.
X. Li, P. Zhang, X. Wang, H. Shen, Y. Hu
wiley +1 more source
Machine learning approaches in automated infant General Movements Assessment: A scoping review
Developmental Medicine &Child Neurology, EarlyView.Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur +4 more
wiley +1 more source
GCN2 in proteostasis: structural logic, signalling networks and disease
The FEBS Journal, EarlyView.Threats to protein synthesis activate the kinase GCN2, initiating the integrated stress response (ISR). GCN2 is triggered by stalled ribosomes and uncharged tRNAs, which accumulate when amino acids are scarce. The ISR adjusts cellular physiology by promoting redox balance, protein quality control, and mitochondrial optimisation.
JiaYi Zhu, Stefan J. Marciniak
wiley +1 more source
Differential Weighting and Flexible Residual GCN-Based Contrastive Learning for Recommendation
The recommendation system based on graphs aims to infer the symmetrical relationship between unconnected users and items nodes. Graph convolutional neural networks (GCNs) are powerful deep learning models widely used in recommender systems, showcasing ...
Fuqiang Xie +3 more
core +1 more source
The genetic architecture of leaf vein density and its importance for photosynthesis in maize
New Phytologist, EarlyView.Vein types in maize leaves. Summary Leaf venation density has significantly increased during plant evolution. Higher densities are observed in angiosperms compared with early land plants, and among angiosperms, recently diverged C4 species have the highest values.
José Luis Coyac‐Rodríguez +9 more
wiley +1 more source
Guest Editorial: Graph Representation Learning for Feature Extraction and Signal Processing
CAAI Transactions on Intelligence Technology, EarlyView.
Xin Ning
wiley +1 more source