3 citations · 5 across the 5 of their papers we have counts for
5 papers
Combinatorial Auctions and Graph Neural Networks for Local Energy Flexibility Markets
Awadelrahman M. A. Ahmed, Frank Eliassen, Yan Zhang
This paper proposes a new combinatorial auction framework for local energy flexibility markets, which addresses the issue of prosumers' inability to bundle multiple flexibility tim…
Exploring MLOps Dynamics: An Experimental Analysis in a Real-World Machine Learning Project
Awadelrahman M. A. Ahmed
This article presents an experiment focused on optimizing the MLOps (Machine Learning Operations) process, a crucial aspect of efficiently implementing machine learning projects. T…
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
Debesh Jha, Vanshali Sharma, Debapriya Banik +30
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps durin…
Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance Propagation
Awadelrahman M. A. Ahmed, Leen A. M. Ali
This paper contributes to automating medical image segmentation by proposing generative adversarial network-based models to segment both polyps and instruments in endoscopy images.…
Generative Adversarial Networks for Automatic Polyp Segmentation
Awadelrahman M. A. Ali Ahmed
This paper aims to contribute in bench-marking the automatic polyp segmentation problem using generative adversarial networks framework. Perceiving the problem as an image-to-image…