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Proceedings of the 2nd Summer School on Cyber-Physical Systems and Internet-of-Things, SS-CPSIoT'2021, Vol. II, 2021

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Contents:::: Lech Jozwiak, Radovan Stojanovic, Introduction >>> Ioannis Pitas, Privacy Protection, Ethics, Robustness and Regulatory Issues in Autonomous Systems >>> Lech Jozwiak, Design of Green CPS and IoT>>> Mario Kovac, European Processor Initiative: Cornerstone of European HPC and eHPC strategy >>> Nicola Capodieci, Timing predictability in GPGPU computing for ADAS: challenges and future directions in real-time embedded platforms >>> Benoît Dupont de Dinechin, Engineering a Manycore Processor for Edge Computing >>> Danilo P. Mandic, Hearables: From in-ear Recording of Vital Signs and Neural Function to Doctorless Hospitals >>> Kim Guldstrand Larsen, Marius Mikucionis, Learning, Analysis, Synthesis and Optimization of Cyber-Physical Systems >>> Radu Grosu, Machine Learning and Control of CPS/IoT >>> Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique, Energy-Efficient Deep Learning at the Edge: A Cross-Layer Approach >>> Daniel Madronal, Francesco Ratto, Giacomo Valente, Dataflow-Based Toolchain for Adaptive Hardware Accelerators Deployment and Monitoring >>> Hui Cao 5G Connectivity: the Key to Success for European Industry? >>> Eugenio Villar, Model-Driven Design of CPSoSs: Application to drone-based services >>> Abdelhakim Baouya, Salim Chehida, Design and Verification of Collaborative Robots System >>> Aris Lalos, Christos Koulamas, Dimitrios Serpanos, Secure and Efficient Industrial IoT: Architectures and Technologies >>> Radovan Stojanovic, Challenging issues in cost effective wearable and IoT medicat devices with emphasis on Covid19 detection >>> Alberto Cardoso, António Dourado, Jorge Henriques, Paulo Gil, Intelligent data analysis towards predictive maintenance in cyber-physical systems >>> Christoph Schmittner, Security engineering for smart farming – from automated vehicles to sensor networks >>> Zoran Utkovski, Slawomir Stanczak, Modern Random Access Protocols for Massive Connectivity in the Internet of Things >>> Schedule- CPS&IoT’2021 Summer School on Cyber-Physical Systems and Internet-of-Things
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SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Networ Inference using Appro imate RAM
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  • M A Anif
  • M Shafique
W. Putra, M. A. anif, M. Shafique, "SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Networ Inference using Appro imate RAM", DAC, 2021.
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W. Putra, M. Shafique, "SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in ynamic Environments", DAC, 2021.
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