| | Preview | Authors / Editors | Title | Type | Issue Date |
| 21 | | Prabakaran, Bharath Srinivas ; Akhtar, Asima ; Rehman, Semeen ; Hasan, Osman ; Shafique, Muhammad | BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables | Artikel Article | 2021 |
| 22 | | Alam, Mohsen Riahi ; Najafi, M. Hassan ; TaheriNejad, Nima | Exact Stochastic Computing Multiplication in Memristive Memory | Artikel Article | 2021 |
| 23 | | TaheriNejad, Nima | SIXOR: Single-cycle In-memristor XOR | Artikel Article | 2021 |
| 24 | | Schober, Peter ; Najafi, M. Hassan ; Taherinejad, Nima | High-Accuracy Multiply-Accumulate (MAC) Technique for Unary Stochastic Computing | Artikel Article | 2021 |
| 25 | | Shallari, Irida ; Leal, Isaac Sanchez ; Krug, Silvia ; Jantsch, Axel ; O'Nils, Mattias | Design space exploration on IoT node: Trade-offs in processing and communication | Artikel Article | 2021 |
| 26 | | Taimoor, Najma ; Rehman, Semeen | Reliable and Resilient AI and IoT-based Personalised Healthcare Services: A Survey | Artikel Article | 2021 |
| 27 | | Leal, Isaac Sánchez ; Shallari, Irida ; Krug, Silvia ; Jantsch, Axel ; O’Nils, Mattias | Impact of Input Data on Intelligence Partitioning Decisions for IoT Smart Camera Nodes | Artikel Article | 2021 |
| 28 | | Ossimitz, Christoph ; TaheriNejad, Nima | A Fast Line Segment Detector Using Approximate Computing | Konferenzbeitrag Inproceedings | 2021 |
| 29 | | Haas, Bernhard ; Wendt, Alexander ; Jantsch, Axel ; Wess, Matthias | Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems | Konferenzbeitrag Inproceedings | 2021 |
| 30 | | Perego, Paolo ; TaheriNejad, Nima ; Maurizio, Caon | Wearables in Healthcare | Buch Book | 2021 |
| 31 | | Dallinger, Dominik ; Wess, Matthias | FPGA optimized dynamic post-training Quantization of Tiny-YoloV3 | Bericht Report | 2021 |
| 32 | | Ivanov, Matvey ; Wess, Matthias ; Jantsch, Axel | Embedded Machine Learning Demonstrator | Bericht Report | 2021 |
| 33 | | Wess, Matthias ; Ivanov, Matvey ; Unger, Christoph ; Nookala, Anvesh ; Wendt, Alexander ; Jantsch, Axel | ANNETTE: Accurate Neural Network Execution Time Estimation With Stacked Models | Artikel Article | 2021 |
| 34 | | Glinserer, Andreas ; Lechner, Martin ; Wendt, Alexander | Automated Pruning of Neural Networks for Mobile Applications | Konferenzbeitrag Inproceedings | 2021 |
| 35 | | Bush, Jeff ; TaheriNejad, Nima ; Willegger, Edwin ; Wojcik, Mariusz ; Kessler, Markus ; Blatnik, Johannes Sebastian ; Daktylidis, Ioannis ; Ferdigg, Jonas ; Haslauer, Daniel | Nyuzi: An Open Source GPGPU for Graphics, Enhanced with OpenCL Compiler for Calculations | Konferenzbeitrag Inproceedings | 2021 |
| 36 | | Donyanavard, Bryan ; Rahmani, Amir M. ; Jantsch, Axel ; Mutlu, Onur ; Dutt, Nikil | Intelligent Management of Mobile Systems Through Computational Self-Awareness | Buchbeitrag Book Contribution | 2021 |
| 37 | | Bauer, Friedrich ; Braun, Felix ; Hauer, Daniel ; Jantsch, Axel ; Kobelrausch, Markus D. ; Mosbeck, Martin ; TaheriNejad, Nima ; Vogt, Philipp-Sebastian | MELODI: An Online Platform for Mass Education of Digital Design - HDL to Remote FPGA | Konferenzbeitrag Inproceedings | 2021 |
| 38 | | Leopold, Thomas ; Bauer, Valentin ; Brathukin, Aleksey ; Hauer, Daniel ; Wilker, Stefan ; Franzl, Gerald ; Mosshammer, Ralf ; Sauter, Thilo | Simulation-based methodology for optimizing Energy Community Controllers | Konferenzbeitrag Inproceedings | 2021 |
| 39 | | Hauer, Daniel ; Bittner, Matthias ; Cejka, Stephan ; Mosshammer, Ralf ; Kintzler, Florian ; Leopold, Thomas ; Wilker, Stefan | Re-enacting rare multi-modal real-world grid events to generate ML training data sets | Konferenzbeitrag Inproceedings | 2021 |
| 40 | | Hauer, Daniel ; Götzinger, Maximilian ; Jantsch, Axel ; Kintzler, Florian | Context Aware Monitoring for Smart Grids | Konferenzbeitrag Inproceedings | 2021 |