Optimizing semiconductor manufacturing equipment and processes often requires balancing structural configuration (e.g., chamber hardware) with process recipes (e.g., gas flows, plasma parameters) [1].

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...

Understanding match demands in junior badminton is essential for designing training programs that support long-term athlete development. While previous research has focused on elite adult players, ...

Abstract: Data association and filter robustness are two key problems for general multiple target tracking. Classic data association methods have high computational complexity, and the gold standard ...

Structure-based molecule generation represents a notable advancement in artificial intelligence-driven drug design. However, progress in this field is constrained by the scarcity of structural data on ...

Gen. Xavier T. Brunson, United Nations Command, Combined Forces Command, and United States Forces Korea Commanding General, and Republic of Korea Army Brig. Gen. Won-Jun Cha, Commander of Combined ...

Data center costs in electricity and water have been hard to pin down. We dug up documents to figure out the impact of AI ...

Researchers in Portugal have simulated 800 power purchase agreemeents across eight different contract type and have found that contracts with a variable price structure achieve higher performance.

The potential impact of capital structure on firm performance has gained considerable interest from many researchers and practitioners in the corporate finance field. The interest in capital structure ...

Data types and variables are fundamental building blocks in programming. Data types categorize the kind of information that can be stored, while variables act as named containers that hold these ...