⚽ HackerRank challenges across multiple domains 🚁 Optimized & well-structured 🚢 solutions in various programming languages 🛩 Covers Algorithms, Data Structures, 🚘 SQL, Python, Java, C++, and more ...

Abstract: In this paper, we are concerned with the problem of utilizing a large network of sensors in order to track multiple targets. Large-scale sensor array management has applications in a number ...

Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...

Abdullatif Mohammed, with minor assistance from AI tools for formatting and spell-checking. In this article, I will share my journey of achieving expert level on Codeforces, the resources I used, and ...

In today’s competitive business environment, precise scheduling is the best tool for survival, success, and growth. Scheduling is the optimal allocation of resources. In a manufacturing environment, ...

Abstract: Compressed sensing (CS) algorithms are used for linear array synthetic aperture radar (LASAR) three-dimensional (3D) imaging. However, it is difficult to obtain imaging results with both ...

Machine learning holds the potential to solve many real-world problems, but interpretability is a necessary prerequisite for practitioners in high-stakes domains such as medicine and law. Decision ...

Non-Abelian gauge fields play an important role in modern theories of fundamental interactions. Here, we report the realization of non-Abelian adiabatic mixing for solving a general IS problem G (8,7) ...

Fossil energy is becoming increasingly scarce, and technological innovation to promote clean energy consumption and achieve the “dual carbon” goal has increasingly become the focus of discussion.

Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United ...