The simplest, most powerful way to build a functional web app (fwa)
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Updated
Aug 27, 2026 - JavaScript
The simplest, most powerful way to build a functional web app (fwa)
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Learning a Deep Dual-level Network for Robust DeepFake Detection
PostgreSQL tools for working with British Columbia's Freshwater Atlas
Model and monitor aquatic habitat connectivity in BC. Tools to plan and prioritize the assessment and remediation of barriers.
Reference BC Known Fish Observations to the Freshwater Atlas stream network
State-of-the-art variant of Fireworks Algorithm (FWA).
5G Core Stand Alone Compact, Suitable for 5G Core Private Network
Create structured project documentation for AI coding agents to translate ideas into actionable technical specifications.
SQL queries for healthcare FWA detection, Medicare/Medicaid claims fraud patterns, and financial transaction anomalies
Rule-based FWA and fraud detection logic, decision trees, and scoring models for healthcare claims and financial transactions
Medicare provider aberrant billing pattern detection using peer-group z-scores, Isolation Forest, and cross-method validation. Built on CMS DE-SynPUF. Snowflake + SAS + Python.
Python script for detecting anomalies in healthcare claims and transaction data — supports FWA investigation and fraud pattern analysis
Python and Excel automation for fraud case data analysis, FWA reporting, claims data processing, and business intelligence dashboards
TR-369/USP management API reference for Honlly 5G FWA CPE devices
Medicare fraud detection engine validated on CMS DE-SynPUF Medicare Claims
🛂 A web application prototype using Java Servlet API stack and JSP files
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