Recent advances in Protein Structure Prediction Models (PPMs), such as AlphaFold2 and ESMFold, have
Time series forecasting has attracted significant attention, leading to the de-velopment of a wide r
Stochastic Discount Factor (SDF) models provide a unified framework for asset pricing and risk asses
As large-scale social data explode and machine-learning methods evolve, scholars of entrepreneurship
In the context of continual learning, acquiring new knowledge while maintaining previous knowledge p
There are various approaches to graph learning for data clustering, incorporating different spectral
Incoherent k-space under-sampling and deep learning-based reconstruction methods have shown great su
Federated semantic segmentation enables pixel-level classification in images through collaborative l
Edge-AI applications demand high-throughput, low-latency inference on FPGAs under tight resource and
Several approaches have been developed to capture the complexity and nonlinearity of human growth. O
