Louisiana Tech Digital Commons
metadata only
Nonlinear dynamical analysis of brain electrical activity due to exposure to weak environmentally relevant electromagnetic fields
The reports dealing with the effects of weak electromagnetic fields (EMFs) on brain electrical activity have been inconsistent. We suspected that the use of linear models and their associated methods accounted for some of the variability, and we explored the issue by using a novel approach to study
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Phy2-ExposNet: A Physics-Informed Neural Network for Urban EMF Exposure Mapping#330041
- ExposNet: A Deep Learning Framework for EMF Exposure Prediction in Complex Urban Environments#384849
- Adaptive LASSO Penalized Minimum Density Power Divergence Estimation through Least Squares Approximation: Application to Bone Mineral Density Data from the SWAN Study#1119339
- Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior#1050447
- Breaking the Central Bias: Spatially Partitioned Experts for Coordinate-Based Neuroevolution#999044
Record · ID 958078
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive