Layer 2 networks address the blockchain trilemma by enhancing scalability through off-chain processing while preserving L1 security and decentralization. Types like rollups and state channels offer ...

The final, formatted version of the article will be published soon. Brain networks have gained increasing recognition as potential biomarkers in mental health studies, but there are limited approaches ...

Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

I am running a Bayesian network analysis in JASP and have calculated the centrality measures (Expected Influence, Closeness and Betweenness). However, I would also like to obtain the confidence ...

Abstract: Bayesian networks are widely used for causal discovery and probabilistic modeling across diverse domains including healthcare, multi-dimensional data analysis, environmental modeling, and ...

Just a few years ago, 5G felt like the future. But technology never stands still. Nowadays, tech giants and researchers are looking ahead to something more promising and powerful – 6G NETWORKS. Yes, ...