Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...

Abstract: Multi-class imbalanced classification has emerged as a very challenging research area in machine learning for data mining applications. It occurs when the number of training instances ...

Stars are often gregarious things. Based on observation and theoretical models, many stars are born in clusters — groups of ten or more stars that were formed from the same interstellar cloud. The ...

variable "compartment_ocid" {} variable "tenancy_ocid" {} variable "user_ocid" {} variable "fingerprint" {} variable "private_key_path" {} variable "public_key_path ...

An MD trajectory must be loaded into VMD with resname assignments for all atoms of interest. This can be done either by pre-loading a structure file with this information (e.g. .bgf file), or by ...