Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment

no code implementations • 14 Mar 2024 • Atah Nuh Mih, Alireza Rahimi, Asfia Kawnine, Francis Palma, Monica Wachowicz, Rickey Dubay, Hung Cao

The results of the Caltech-101 image classification show that our model has a better test accuracy (76. 21%) than Xception (75. 89%), uses less memory on average (847. 9MB) than Xception (874. 6MB), and has faster training and inference times.

Defect Detection Image Classification +1

Improving Software Requirements Prioritization through the Lens of Constraint Solving

no code implementations • 21 Jun 2023 • Jonathan Winton, Francis Palma

This paper presents an interactive method to requirements prioritization that leverages the pairwise comparisons and a constraint solver.