Combining data across mismatched maps is a key challenge in global health and environmental research. A powerful modeling ...

Abstract: We develop a novel graph-based trainable framework to maximize the weighted sum energy efficiency (WSEE) for power allocation in wireless communication networks. To address the non-convex ...

This type of resource deadlocks has not been addressed in many previously proposed wormhole multicast algorithms. We also show that deadlocks on consumption channels can be avoided by using multiple ...

A benchmarking toolkit for comparing Kruskal's and Prim's minimum spanning tree algorithms across various graph configurations, with visualization tools and performance analysis reports.

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...