Nature

A repetitive learning based fractional order parameter optimization algorithm for extended Wiener systems with backlash nonlinearity subject to binary-valued data

An accurate estimation of system parameters is crucial for ensuring high-performance modelling and adaptive control of nonlinear systems, particularly in quantized environments. However, existing ...
Nature

ECG-based machine-learning algorithms for heartbeat classification

In this paper, to address the drawbacks of the above mentioned algorithms, based on the fusion of TERMA and fractional Fourier-transform (FrFT), we propose an algorithm that can produce better results ...
The Conversation

What is an algorithm? How computers know what to do with data

The world of computing is full of buzzwords: AI, supercomputers, machine learning, the cloud, quantum computing and more. One word in particular is used throughout computing – algorithm. In the most ...
Investopedia

Understanding High-Frequency Trading (HFT): Basics, Mechanics, and Example

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Doretha Clemons, Ph.D., MBA, PMP, has been a corporate IT executive and professor for 34 years. She is an adjunct ...