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Nik Dennler
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2020 – today
- 2024
- [c5]Mohamad Ali Mehrabi, Nik Dennler, Yeshwanth Bethi, André van Schaik, Saeed Afshar:
Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN). ISIE 2024: 1-8 - [i6]Nik Dennler, Damien Drix, Tom P. A. Warner, Shavika Rastogi, Cecilia Della Casa, Tobias Ackels, Andreas Schaefer, André van Schaik, Michael Schmuker:
High-speed odour sensing using miniaturised electronic nose. CoRR abs/2406.01904 (2024) - [i5]Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugering, Omowuyi Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A. Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G. Andreou, Sadasivan Shankar, Christian Mayr, Gert Cauwenberghs, Shantanu Chakrabartty:
ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers. CoRR abs/2406.05224 (2024) - 2023
- [c4]Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik:
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end. BioCAS 2023: 1-5 - [i4]Nik Dennler, André van Schaik, Michael Schmuker:
Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit. CoRR abs/2309.11555 (2023) - [i3]Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik:
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end. CoRR abs/2310.07475 (2023) - 2022
- [c3]Damien Drix, Nik Dennler, Michael Schmuker:
Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation. ISOEN 2022: 1-4 - [c2]Nik Dennler, Damien Drix, Shavika Rastogi, André van Schaik, Michael Schmuker:
Rapid Inference of Geographical Location with an Event-based Electronic Nose. NICE 2022: 112-114 - 2021
- [c1]Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri:
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. AICAS 2021: 1-4 - [i2]Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri:
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. CoRR abs/2106.00687 (2021) - 2020
- [i1]Nik Dennler, Antonio Foncubierta-Rodríguez, Titus Neupert, Marilyne Sousa:
Learning-based Defect Recognition for Quasi-Periodic Microscope Images. CoRR abs/2007.01309 (2020)
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last updated on 2024-10-24 20:31 CEST by the dblp team
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