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Safdar Mahmood
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2020 – today
- 2023
- [c8]Safdar Mahmood, Michael Hübner, Marc Reichenbach:
A Design-Space Exploration Framework for Application-Specific Machine Learning Targeting Reconfigurable Computing. ARC 2023: 371-374 - 2022
- [j1]Kwame Owusu Ampadu
, Florian Rokohl
InjectMeAI - Software Module of an Autonomous Injection Humanoid. Sensors 22(14): 5315 (2022) - [c7]Safdar Mahmood, Stefan Scharoba
Detecting Improvised Land-mines using Deep Neural Networks on GPR Image Dataset targeting FPGAs. NorCAS 2022: 1-7 - 2021
- [c6]Florian Fricke
Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy. DATE 2021: 615-620 - 2020
- [c5]Hector Gerardo Muñoz Hernandez
A Modular Software Library for Effective High Level Synthesis of Convolutional Neural Networks. ARC 2020: 211-220 - [c4]Javier Hoffmann, Safdar Mahmood, Priscile Suawa Fogou, Nevin George, Solaiman Raha, Sabur Safi, Kurt J. G. Schmailzl, Marcelo Brandalero, Michael Hübner:
A Survey on Machine Learning Approaches to ECG Processing. SPA 2020: 36-41
2010 – 2019
- 2019
- [c3]Safdar Mahmood, Jens Rettkowski, Arij Shallufa, Michael Hübner, Diana Göhringer:
IP Core Identification in FPGA Configuration Files using Machine Learning Techniques. ICCE-Berlin 2019: 103-108 - [c2]Jens Rettkowski, Safdar Mahmood, Arij Shallufa, Michael Hübner, Diana Göhringer
Inspection of Partial Bitstreams for FPGAs Using Artificial Neural Networks. IPDPS Workshops 2019: 83-86 - 2018
- [c1]Safdar Mahmood, Pavel Shydlouski, Michael Hübner:
An Application Specific Framework for HLS-based FPGA Design of Articulated Robot Inverse Kinematics. ReConFig 2018: 1-6
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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