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Discover Networks · 2026 · Vol. 2 · Issue 1 · Springer
Steganography has been developed with the aim of establishing secure communication in a completely imperceptible manner. In a steganography system, confidential information is embedded within a carrier medium such as an image, audio, or video in such a way that no discernible change occurs in the apparent content of the medium, and an observer or unauthorized attacker is unable to detect the presence of the hidden message. How...
Discover Networks · 2026 · Vol. 2 · Issue 1 · Springer
Network reconfiguration (NR) serves as an effective mechanism for optimizing electricity delivery by modifying the network topology through sectionalizing and tie-switches. Dynamic reconfiguration is gaining prominence with the commercial use of remotely controlled line switches; however, unbalanced power distribution networks (UPDNs) with diverse customer categories present a significant challenge in identifying optimal confi...
Discover Networks · 2026 · Vol. 2 · Issue 1 · Springer
GeoJitter is an open-source Python package for region-aware randomization of node locations in spatial networks, designed to preserve network structure while mitigating privacy risks and supporting spatial visualization of incomplete or uncertain data. Existing open-source randomization techniques rarely incorporate geospatial boundaries, limiting their applicability for spatial analysis; GeoJitter addresses this gap and provi...
Discover Networks · 2025 · Vol. 1 · Issue 1 · Springer
Generative adversarial networks (GANs) have reshaped modern deep learning by enabling the creation of high-fidelity synthetic data. This survey distils a decade of progress while adding three fresh dimensions. First, we propose a unified three-layer taxonomy–linking divergence choice, objective loss, and architecture family–that clarifies how theoretical tweaks ripple through training dynamics. Second, we deliver the field’s m...