Abstract: The integration of wireless powered communication network (WPCNs) with intelligent reflecting surface (IRS) technology has emerged as a promising solution for enhancing the energy and ...

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...

Abstract: Complex reinforcement learning (RL) tasks often require a divide-and-conquer approach, where a large task is divided into pieces and solved by individual agents. In this paper, we study a ...

C++ & Java implementations of 6 algorithm problems — tromino tiling, knight's tour, Tower of Hanoi (4-peg), knight swap, target shooting, and lattice coverage — using Divide & Conquer, Greedy, BFS, ...

While Mao, echoing Clausewitz, argued that prolonged conflict can allow the weaker party to reverse the imbalance in conventional power, this may not hold in Myanmar’s case. Mao’s theory may remain ...

In this paper, we present two divide-and-conquer algorithms for clustering large graphs. Both algorithms apply a base algorithm on several small subgraphs and then use these individual local ...

Networks are one of the most common ways to represent biological systems as complex sets of binary interactions or relations between different bioentities. In this article, we discuss the basic graph ...

Note: Some of the code here is old and was written when I was learning C++. It might be possible that code is not safe or making wrong assumptions. Please use with caution. Pull requests are always ...

The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the ...