The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

A collection of solutions for the Advent of Code 2025 programming challenges, solved using pure vibe coding with Claude Code.