Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Hallawa, A."'
This paper proposes a novel, resource-efficient approach to Visual Speech Recognition (VSR) leveraging speech representations produced by any trained Automatic Speech Recognition (ASR) model. Moving away from the resource-intensive trends prevalent i
Externí odkaz:
http://arxiv.org/abs/2312.09727
One of the main reasons for the success of Evolutionary Algorithms (EAs) is their general-purposeness, i.e., the fact that they can be applied straightforwardly to a broad range of optimization problems, without any specific prior knowledge. On the o
Externí odkaz:
http://arxiv.org/abs/2103.16897
Autor:
Sisejkovic, Dominik, Merchant, Farhad, Reimann, Lennart M., Srivastava, Harshit, Hallawa, Ahmed, Leupers, Rainer
Publikováno v:
ACM J. Emerg. Technol. Comput. Syst. 17, 3, Article 30 (May 2021), 26 pages
Logic locking is a prominent technique to protect the integrity of hardware designs throughout the integrated circuit design and fabrication flow. However, in recent years, the security of locking schemes has been thoroughly challenged by the introdu
Externí odkaz:
http://arxiv.org/abs/2011.10389
Autor:
Hallawa, Ahmed, Born, Thorsten, Schmeink, Anke, Dartmann, Guido, Peine, Arne, Martin, Lukas, Iacca, Giovanni, Eiben, A. E., Ascheid, Gerd
In this work, we propose a novel approach for reinforcement learning driven by evolutionary computation. Our algorithm, dubbed as Evolutionary-Driven Reinforcement Learning (evo-RL), embeds the reinforcement learning algorithm in an evolutionary cycl
Externí odkaz:
http://arxiv.org/abs/2007.04725
Autor:
Arne Peine, Maike Gronholz, Katharina Seidl-Rathkopf, Thomas Wolfram, Ahmed Hallawa, Annika Reitz, Leo Anthony Celi, Gernot Marx, Lukas Martin
Publikováno v:
JMIR Medical Informatics, Vol 11, p e44773 (2023)
BackgroundThe medical teams in intensive care units (ICUs) spend increasing amounts of time at computer systems for data processing, input, and interpretation purposes. As each patient creates about 1000 data points per hour, the available informatio
Externí odkaz:
https://doaj.org/article/f94af967407e49fa836f1381fbf05590
Autor:
Hendrik Laux, Ahmed Hallawa, Julio Cesar Sevarolli Assis, Anke Schmeink, Lukas Martin, Arne Peine
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract In this work, we propose a framework to enhance the communication abilities of speech-impaired patients in an intensive care setting via reading lips. Medical procedure, such as a tracheotomy, causes the patient to lose the ability to utter
Externí odkaz:
https://doaj.org/article/d855cc8ec8d54027b433fda3edd86e8b
Autor:
Hallawa, Aya M. I. Y.1, Abd El-Hamed, Abo El-Nasr H.1, Salem, Haythum M. S.1, Ali, Ibrahim M. E.1 Ibrahim.ali@fagr.bu.edu.eg
Publikováno v:
Annals of Agricultural Science Moshtohor. 2024, Vol. 62 Issue 1, p49-56. 8p.
Autor:
Ahmad Ayad, Ahmed Hallawa, Arne Peine, Lukas Martin, Lejla Begic Fazlic, Guido Dartmann, Gernot Marx, Anke Schmeink
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 8, p e37658 (2022)
BackgroundIn recent years, the volume of medical knowledge and health data has increased rapidly. For example, the increased availability of electronic health records (EHRs) provides accurate, up-to-date, and complete information about patients at th
Externí odkaz:
https://doaj.org/article/363ed60f3a5c4d568ff5e644a214d7f0
Autor:
Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo Celi, Gernot Marx, Lukas Martin
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-12 (2021)
Abstract The aim of this work was to develop and evaluate the reinforcement learning algorithm VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for critically-ill patients. We built, validated and tested its perf
Externí odkaz:
https://doaj.org/article/cbf3e67d243d4b4c9450953527ffd35b
Publikováno v:
In Integration November 2019 69:50-61