Search Results for author: Adam Slowik

Found 2 papers, 1 papers with code

A Novel Sleep Stage Classification Using CNN Generated by an Efficient Neural Architecture Search with a New Data Processing Trick

no code implementations27 Oct 2021 Yu Xue, Ziming Yuan, Adam Slowik

In this paper, we propose an efficient five-sleep-stage classification method using convolutional neural networks (CNNs) with a novel data processing trick and we design neural architecture search (NAS) technique based on genetic algorithm (GA), NAS-G, to search for the best CNN architecture.

Automatic Sleep Stage Classification Classification +1

Monkey Optimization System with Active Membranes: A New Meta-heuristic Optimization System

1 code implementation30 Sep 2019 Moustafa Zein, Aboul Ella Hassanien, Ammar Adl, Adam Slowik

The results indicate a substantial solution for the time consumption problem, significant representation of the natural behavior of monkeys, and considerable chance to reach the best solution in the context of meta-heuristics purpose.

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