Nicholas S. Flann
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Utah State Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-3100-8545
- OpenAlex ID
- A5033749663as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 7
CNN Classification Architecture Study for Turbulent Free-Space and Attenuated Underwater Optical OAM Communications,
deepHPI: a comprehensive deep learning platform for accurate prediction and visualization of host–pathogen protein–protein interactions,
Deep reinforcement learning stock market trading, utilizing a CNN with candlestick images,
Fast Design Optimization Method Utilizing a Combination of Artificial Neural Networks and Genetic Algorithms for Dynamic Inductive Power Transfer Systems,
Machine learning-based signal degradation models for attenuated underwater optical communication OAM beams,
MANTIS: Multiple Type and Attribute Index Selection using Deep Reinforcement Learning,
Transport-based pattern recognition versus deep neural networks in underwater OAM communications
← Authored by 7
CNN Classification Architecture Study for Turbulent Free-Space and Attenuated Underwater Optical OAM Communications,
deepHPI: a comprehensive deep learning platform for accurate prediction and visualization of host–pathogen protein–protein interactions,
Deep reinforcement learning stock market trading, utilizing a CNN with candlestick images,
Fast Design Optimization Method Utilizing a Combination of Artificial Neural Networks and Genetic Algorithms for Dynamic Inductive Power Transfer Systems,
Machine learning-based signal degradation models for attenuated underwater optical communication OAM beams,
MANTIS: Multiple Type and Attribute Index Selection using Deep Reinforcement Learning,
Transport-based pattern recognition versus deep neural networks in underwater OAM communications
Affiliated with 1
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Summary
Nicholas S. Flann is a human[1].