Orchestration of Edge Controller and Cloud Metric Engine for Managing OPC UA-based Microgrids

SaaN 2L-GRL: Two-Level Graph Representation Learning Empowered with Subgraph-as-a-Node

Learning with Correlation-Guided Attention for Multi-Energy Consumption Forecasting

Self-Training of Cyber-Threat Classification Model with Threat-Payload Centric Augmentation

TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection

Multi-Level Graph Representation Learning Through Predictive Community-based Partitioning

Are Multiple Instance Learning Algorithms Learnable for Instances?

FedSDP: Federated Self-Derived Prototypes for Personalized Federated Learning

Affective Audio Feature-based Multimodal Learning Model for Extracting Video Highlights

Learning Model Combined with Data Clustering and Dimensionality Reduction for Short-Term Electricity Load Forecasting