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error-rates

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murafba / Rainfall-Prediction-App

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Rainfall Prediction App is an application designed to predict rainfall in the Banyuasin Regency, Indonesia. This project serves as a final project developed to complete the undergraduate program at the University of Sriwijaya. The method employed involves the Tsukamoto Fuzzy Inference System optimized using genetic algorithms.

application netbeans software-engineering software-development genetic-algorithms java-swing fuzzy-logic optimization-algorithms final-year-project final-project membership-functions tsukamoto rainfall-prediction fuzzy-inference-system final-thesis error-rates
  • Updated Jan 3, 2024
  • Java

Jaiman-Pandya / adaptive-feed-platform

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Adaptive Feed Platform is a simulation and visualization tool that models how reliability strategies like caching and prefetching impact performance of a large-scale content feed. It provides a lightweight environment to explore how backend design decisions influence metrics like p95/p99 latency and cache-hit ratios under different traffic.

testing caching docs latency architecture reliability specs prefetching error-rates
  • Updated Nov 25, 2025
  • Python

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