Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

A career in quantitative trading or research is one of the most exciting and intellectually rewarding paths in finance.

Learn how to implement the Adam optimization algorithm from scratch in Python! This step-by-step guide breaks down the math, ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

High-Frequency Trading is the pinnacle of electronic finance, and when combined with AI-driven crypto trading, it opens a whole new world of precision, automation, and efficiency. They allow traders ...

A beginner-friendly mini project covering fundamental Data Structures and Algorithms in Python, based on W3Schools tutorial. Includes implementations of linear and binary search, bubble sort, ...

Abstract: This paper introduces tvopt, a Python framework for prototyping and benchmarking time-varying (or online) optimization algorithms. The paper first describes the theoretical approach that ...