Achieving scale-free robust networks is a challenging problem due to its NP-hard nature and the vast, complex, high-dimensional solution space. Current methods, from handcrafted feature extraction to ...
Physics-informed convolutional neural networks (PICNNs) have emerged as a powerful extension of physics-informed neural networks (PINNs), offering superior generalization and efficiency for solving ...
Today’s networks typically include voice, video, network management, mission-critical, and routing traffic in addition to bulk user traffic. Each type of traffic has different performance (bandwidth, ...
Editor's Note: The SCM thesis Profit-Driven Network Redesign Through Value-Creation Services was authored by Morgan DeHaan and Yujia Ke and supervised by Dr. Milena Janjevic ([email protected]). For ...
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