Reverse Engineering March Madness Selection Committee Bracketology

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
IEEE

Improved Analysis and Design of ADR Algorithm for Energy-Efficient LoRaWAN System

Abstract: For an energy-efficient adaptive data rate (ADR) algorithm in a long-range wide-area network (LoRaWAN) system, an asymptotic analysis on the spreading factor (SF) by the ADR-MIN algorithm ...

AI analysis of nanoribbon assembly reveals protein design principles

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...
IEEE

Study of the Learning Algorithm for Multivariable Data Analysis in Machine Learning Tasks Under Missing Data

Abstract: Machine Learning algorithms are very sensitive to missing data, and their results depend on the way data is treated by the algorithms. In this work, we will understand missing data when a ...