Autonomous Storm Navigation Using the Ibaguner Fractal Operator (IFO)
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| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2025
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| _version_ | 1866901667692150784 |
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| author | İBAGÜNER, SİNAN |
| author_facet | İBAGÜNER, SİNAN |
| contents | <p>This paper presents a frugal implementation of the Ibaguner Fractal Operator (IFO) for real-time storm avoidance in autonomous aircraft and marine vessels. By leveraging open-source tools (Python, PennyLane, Raspberry Pi) and free sensor networks (NOAA, EMODnet), we demonstrate how IFO’s singularity resolution enables:</p> <p>• Turbulence/rogue wave detection in time.</p> <p>• Hyperbolic path optimization for low-power autopilots.</p> <p>• Quantum-enhanced forecasting via hybrid MPS emulation. </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15887959 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Autonomous Storm Navigation Using the Ibaguner Fractal Operator (IFO) İBAGÜNER, SİNAN Auto-Navigaion Auto-Pilot Storm IFO <p>This paper presents a frugal implementation of the Ibaguner Fractal Operator (IFO) for real-time storm avoidance in autonomous aircraft and marine vessels. By leveraging open-source tools (Python, PennyLane, Raspberry Pi) and free sensor networks (NOAA, EMODnet), we demonstrate how IFO’s singularity resolution enables:</p> <p>• Turbulence/rogue wave detection in time.</p> <p>• Hyperbolic path optimization for low-power autopilots.</p> <p>• Quantum-enhanced forecasting via hybrid MPS emulation. </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> |
| title | Autonomous Storm Navigation Using the Ibaguner Fractal Operator (IFO) |
| topic | Auto-Navigaion Auto-Pilot Storm IFO |
| url | https://doi.org/10.5281/zenodo.15887959 |