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Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis.

, , , and . EMBC, page 78-81. IEEE, (2017)

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Benchmarking the performance of neuromorphic and spiking neural network simulators., , , and . Neurocomputing, (2021)Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations., , , , and . CoRR, (2023)BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks., , and . CoRR, (2024)Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis., , , and . EMBC, page 78-81. IEEE, (2017)Object Motion Sensitivity: A Bio-inspired Solution to the Ego-motion Problem for Event-based Cameras., , , , , and . CoRR, (2023)Avoiding excess computation in asynchronous evolutionary algorithms., , , , , , , and . Expert Syst. J. Knowl. Eng., (June 2023)Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation., , , , , , , and . ICMLA, page 1541-1546. IEEE, (2023)Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing., , , , , , , , , and 29 other author(s). SMC, volume 1512 of Communications in Computer and Information Science, page 361-382. Springer, (2021)Neuromorphic Computing for Autonomous Racing., , , , , , , , , and 1 other author(s). ICONS, page 23:1-23:5. ACM, (2021)Publisher Correction: Opportunities for neuromorphic computing algorithms and applications., , , , , and . Nat. Comput. Sci., 2 (3): 205 (2022)