In our increasingly connected world, satellites aren’t just twinkling lights in the night sky—they’re the backbone of GPS navigation, global communications, and even military operations. But what if someone could fake those signals, tricking your…
By Benjamin J. Gilbert – College of the Mainland In the noisy world of radio frequency (RF) monitoring, anomaly detection is both essential and difficult. Signals are buried in interference, bursts overlap, and traditional single-cue…
Smarter RF Signal Classification: How Ensemble ML Boosts Accuracy and Reliability By Benjamin J. Gilbert – Spectrcyde RF Quantum SCYTHE, College of the Mainland In noisy RF environments, where modulation signals blur under interference and…
Smarter RF Signal Classification: How Ensemble ML Boosts Accuracy and Reliability By Benjamin J. Gilbert – Spectrcyde RF Quantum SCYTHE, College of the Mainland In noisy RF environments, where modulation signals blur under interference and…
IMM-RF-NeRF Integration: PerformanceBenchmarks and Density Grid Scaling IMM-RF-NeRF: Benchmarking the Fusion of Radio Signals and Neural Radiance Fields By Benjamin J. Gilbert – College of the Mainland, Robotic Process Automation | Global Midnight Scan Club…
JWST Meets the LHC: Tracing Anomaly Correlations Across Space and Particle Physics By Benjamin J. Gilbert – College of the Mainland, Robotic Process Automation What happens when the most advanced space telescope ever built (JWST)…
Detecting Algorithmic Manipulation in RF+Net Signals: Measurement, Calibration, and Real-World Lessons. By Benjamin J. Gilbert, College of the Mainland – Robotic Process Automation In today’s hyper-connected environment, the battle between automated manipulation and trustworthy communication…
“nDPI–RF Fusion for Algorithmic Manipulation Detection” Detecting Algorithmic Manipulation with nDPI–RF Fusion By Benjamin J. Gilbert, College of the Mainland – Robotic Process Automation | Spectrcyde RF Quantum SCYTHE Why Algorithmic Manipulation Detection Matters As…