This discovery-driven proteomics study of a pediatric population - including rare diseases - introduces a SNOMED CT-guided ...

Abstract: Fuzzy C-Means algorithm (FCM) is one of the most commonly used fuzzy clustering algorithm, which uses the alternating optimization algorithm to update the membership matrix and the cluster ...

Abstract: This paper proposed a hierarchical hybrid algorithm for traveling salesman problem (TSP) according to the idea of divide-and-conquer. The TSP problem is decomposed into a few subproblems ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

Master artificial intelligence in 2025 with this comprehensive guide. Explore AI fundamentals, machine learning, deep ...

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 ...

a data-driven stock portfolio optimization strategy using historical price data and modern portfolio theory. It dynamically rebalances monthly to maximize the Sharpe ratio and is benchmarked against ...