In 2025-04, the AE2224-I-B04 work focused on delivering a GPU-accelerated, flexible time-series forecasting pipeline and improving data handling/testing workflows, enabling faster, more reliable forecasts for planning and decision-making.

March 2025 performance summary for Julek-AK/AE2224-I-B04: Delivered core ML and preprocessing capabilities, codebase stability, and tooling enhancements that enable faster experimentation and more reliable training pipelines. Key outcomes include: NASA Method Implementation with tests and documentation updates; ML Working Algorithm integration; normalization and data preprocessing improvements; CUDA acceleration and Adam optimizer support for performance and training stability; parameter handling alignment and training workflow improvements; and ongoing codebase maintenance with comprehensive documentation updates.

December 2024 monthly performance summary for Boef23/B09_WP4_5_Python. Focused on delivering robust geometry analytics features, expanding test coverage, and improving maintainability. The work delivers business value through more accurate centroid-based analyses, reduced debugging time due to automated tests, and enhanced localization and deploy-ready features for end users.

November 2024: Delivered a robust V-n Flight Envelope visualization for Boef23/B09_WP4_5_Python with dual diagrams for cruise and sea level, featuring unit-flexible plotting and updated envelope calculations. Implemented metric/imperial unit support, refined gust and maneuver load computations, updated key constants, and introduced an initial moment-of-inertia adjustment within envelope modelling. Created and stabilized the VNdiagrams tooling, with progressive refinements through the commit sequence. No separate bug fixes are recorded this month; the focus was on feature delivery, reliability, and enabling accurate envelope analysis for faster design decisions.