Key Substructure Learning with Chemical Intuition for Material Property Prediction
Substructures are crucial factors influencing material molecular properties, and the effective
identification of molecular substructures can accelerate novel material discovery. The …
identification of molecular substructures can accelerate novel material discovery. The …
JSCDS: A Core Data Selection Method with Jason-Shannon Divergence for Caries RGB Images-Efficient Learning
Deep learning-based RGB caries detection improves the efficiency of caries identification
and is crucial for preventing oral diseases. The performance of deep learning models …
and is crucial for preventing oral diseases. The performance of deep learning models …
LCPTCN: Lightweight Temporal Convolutional Network with Cross-Group Pruning for Dynamic Load Forecasting
Y Chen, P Zhang, T Wu, J Hu… - … Conference on Cloud …, 2024 - ieeexplore.ieee.org
The swift development of cloud platform services has led to the emergence of diverse
workloads. Accurately predicting these varied and dynamic workloads while minimizing the …
workloads. Accurately predicting these varied and dynamic workloads while minimizing the …