AI streamlines deluge of data from particle collisions

Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...
IEEE

Robust and Invisible Flow Watermarking with Invertible Neural Network for Traffic Tracking

Abstract: This paper introduces an innovative blind flow watermarking framework on the basis of Invertible Neural Network (INN) called IFW, which aims to solve the problem of suboptimal ...
TheStreet.com

Flow Launches the Next Phase of Consumer DeFi

As the premier consumer L1 network, Flow has proven that incubating killer apps is as vital as fostering a robust, open infrastructure. Flow launched its network with groundbreaking partnerships, ...
Frontiers

A total organic carbon prediction algorithm for heterogeneous shale based on interpretable neural network: a case study of Qiongzhusi Formation shale in the Sichuan Basin

Total Organic Carbon (TOC) is a fundamental parameter for evaluating source rock quality, yet the strong heterogeneity of the Qiongzhusi Formation shale reservoir in the Sichuan Basin severely limits ...
IEEE

A Data-Driven Real-Time Optimal Power Flow Algorithm Using Local Feedback in Distribution Networks

Abstract: The increasing penetration of distributed energy resources (DERs) adds variability as well as fast control capabilities to power networks. Dispatching the DERs based on local information to ...
GitHub

network-flow-optimization

Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm ...
GitHub

Ford-Fulkerson Algorithm Implementation

Ford-Fullkerson-Algorithm/ ├── src/ # Source code │ ├── utils.h/.c # Utility functions and data structures │ ├── graph.h/.c # Graph representation and operations │ ├── path.h/.c # Path finding ...
C&EN

Data-Driven Flow Control for Natural Gas Pipeline Networks: Optimizing via Anomaly Detection and Residual Weight Coefficients

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The natural gas pipeline network has a complex topology with variable flow directions, ...
Frontiers

Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...