Reverse Engineering March Madness Selection Committee Bracketology

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

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
IEEE

Resource- and Convergence-Aware Neural Algorithm Selection for 5G/B5G RAN

Abstract: 5G/B5G Radio Access Networks (RAN) deployment is demanding optimal selection mechanisms among the cutting-edge neural algorithms, especially embracing trade-offs between system performance ...
IEEE

Optimum Selection of Lithium Iron Phosphate Battery Cells for Electric Vehicles

Abstract: This paper presents a systematic approach to selecting lithium iron phosphate (LFP) battery cells for electric vehicle (EV) applications, considering cost, volume, aging characteristics, and ...