Major GNN architectures are reviewed, including Graph Convolutional Networks (GCNs), Graph Attention Networks (GATs), GraphSAGE, and Message Passing Neural Networks (MPNNs), and their applications in warehouse automation, autonomous vehicles, service robots, drones, and search-and-rescue missions are discussed.
Ken Iverson, D. Parnas· International Journal of Int...· 0 citations
An intelligent workflow scheduling framework that improves performance through adaptive decision-making, predictive analytics, and machine learning, and addresses key challenges like load balancing, scalability, energy efficiency, and fault tolerance is proposed.
D. Parnas· International Journal of Dat...· 0 citations
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