X-37B Space Plane is a Beached Space Whale
🛰️ The X-37B Space Plane is currently back on Earth. After spending 434 days in orbit, the X-37B completed its seventh mission (OTV-7) and landed on March 7, 2025, at Vandenberg Space Force Base in… X-37B Space Plane is a Beached Space Whale
STRF C to Python
The acronym “STRF” can refer to a few different things depending on the context: I’m referring to the Latter: I’ve successfully created and integrated a comprehensive bridge module between the STRF satellite tracking toolkit and… STRF C to Python
SCYTHE Tech Demos
SERVERS UP >> They are fragile, I’m actively working with them, this is mostly a list for myself. Some are Crude, bear with me. CUDA Required for some of them to run. https://neurosphere-1.tail52f848.ts.net/RF_QUANTUM_SCYTHE/attention_visualizer.html (SERVER DOWN… SCYTHE Tech Demos
Signal Classifier Demo
#WebXR #GoogleGlass https://neurosphere-1.tail52f848.ts.net/signal-classifier.html
LHC RF Impact Visualization & Hypergraph Analysis
“Large Hadron Collider RF Impact Visualization“—is a fascinating conceptual tool that abstracts the collider’s radio frequency (RF) dynamics into a hypergraph structure. 🧠 What You’re Looking At: The RF Hypergraph This isn’t a literal map… LHC RF Impact Visualization & Hypergraph Analysis
Accurately Modelled Ionosphere
Accurately modeling the Earth’s ionosphere is crucial for various applications, particularly those relying on radio waves, such as Global Navigation Satellite Systems (GNSS) like GPS. The ionosphere, a region of the upper atmosphere with electrically… Accurately Modelled Ionosphere
RF SCYTHE DEMO
This Demo is Running from my Local PC, be gentle. AlmaLinux through Tailscale, if you try anything funny they will know. https://neurosphere-1.tail52f848.ts.net/rf_scythe_home.html # RF SCYTHE Homepage – Arapt.us https://172-234-197-23.ip.linodeusercontent.com/?p=825 ## Overview This is the modernized… RF SCYTHE DEMO
ADD-GP (Audio Deepfake Detection with Gaussian Processes)
a novel, few-shot adaptive framework specifically designed for Audio Deepfake Detection (ADD) ADD-GP (Audio Deepfake Detection with Gaussian Processes) is a novel, few-shot adaptive framework specifically designed for Audio Deepfake Detection (ADD). It addresses the… ADD-GP (Audio Deepfake Detection with Gaussian Processes)
Quantum Spin-Inspired Signal Processing Module for RF SCYTHE
PODCAST: The Quantum Spin-Inspired Signal Processing Module for RF SCYTHE as an enhancement to the traditional K9 Signal Processor, designed to apply quantum-inspired analysis techniques to RF signal processing. This module models RF signals using… Quantum Spin-Inspired Signal Processing Module for RF SCYTHE
Temporal Query Denoising for Multi-Object Tracking
PODCAST: TQD-Track, a novel method for Temporal Query Denoising in 3D Multi-Object Tracking, designed to enhance autonomous systems’ ability to predict object behavior by training them on temporally corrupted data, thereby improving resilience to real-world… Temporal Query Denoising for Multi-Object Tracking
Nonlinear Harmonics for LCRD/ILLUMA-T Detection
Application of “Nonlinear Harmonics” Paper to LCRD/ILLUMA-T Detection The paper Nonlinear Harmonics: A Gateway to Enhanced Image Contrast and Material Discrimination introduces an AFM-ICE (Atomic Force Microscopy Image Contrast Enhancement) pipeline that: Now apply that… Nonlinear Harmonics for LCRD/ILLUMA-T Detection
Adaptable Deepfake Detection
Adaptable deepfake detection is critically needed due to the rapid and continuous evolution of Text-to-Speech (TTS) models, particularly in voice cloning. These advancements have made it possible to synthesize highly realistic speech that can closely… Adaptable Deepfake Detection
Deep Kernel Learning (DKL)
Deep Kernel Learning (DKL) is a technique that addresses a key limitation in Gaussian Process (GP) models by combining classical kernel functions with deep neural network transformations. Here’s a breakdown of its purpose and how… Deep Kernel Learning (DKL)
High-Precision Spectral Fingerprinting
The paper on “Computational Spectral-Domain Single-Pixel Imaging” directly enhances the architecture by assembling with LatentAggregator, GhostAnomalyDetector, and the orbital_mimic_detector. 🔍 What This Adds to the Stack The paper confirms and extends the ghost-imaging pipeline to… High-Precision Spectral Fingerprinting
Glass casualty visualization
The primary purpose of Glass casualty visualization is to provide real-time casualty visualization and geolocated casualty tracking for enhanced tactical situational awareness. It effectively serves to replace K9 units with advanced RF sensing capabilities. Specifically,… Glass casualty visualization
👻Latent Fusion Aggregator
Anomaly Detection #HydraSlayer PODCAST (2 Segments): The system integrates diverse data types for comprehensive anomaly detection by combining Fast Fourier Transform (FFT) data, Ghost Imaging results, and Packet Metadata within a single latent fusion layer.… 👻Latent Fusion Aggregator
WebSockets
WebSockets are a communication protocol that enables persistent, two-way communication channels over a single TCP connection between a client and a server. Unlike traditional HTTP, which is request-response based, WebSockets allow for real-time, full-duplex communication, making them ideal for… WebSockets
RF BLOODHOUND Signal Processor – Google Glass Integration
PODCAST: The RF-QUANTUM-SCYTHE system has several key capabilities for casualty and threat detection: Casualty Detection: RF Biomarker Detection The system aims to detect bloodshed, primarily by using RF sensing to identify changes in the environment’s electromagnetic wave… RF BLOODHOUND Signal Processor – Google Glass Integration
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