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Forecasting vaccine demand and determining inventory policies are critical challenges in healthcare supply chains, where uncertainty poses significant operational risks. This study proposes a two-step data-driven framewo...

An electromagnetic transient (EMT) simulation framework is developed by integrating the Parallel-in-Time algorithm with a data-oriented Entity–Component–System (ECS) architecture. The proposed method aims t...

Currently, numerous vocational colleges have incorporated practical training courses focused on automated production lines. However, due to spatial constraints and insufficient availability of physical equipment, the imp...

Precise temporal coordination in crowd simulation—ensuring agents arrive at targets in a specific order or at set intervals—remains a challenge for real-time applications. While existing force-based methods...

The transport industry has recently shown significant interest in unmanned surface vehicles (USVs), specifically for port and inland waterway transport. These systems can improve operational efficiency and safety, which ...

The design of a bistatic inverse synthetic aperture radar (ISAR) images simulator is described, as a response to the need of databases with classification purposes in bistatic radar scenarios characterized by numerous de...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...